The Si Tian project,designed to utilize 60 telescopes distributed across multiple sites in China,is a next-generation timedomain survey initiative.As a pathfinder for the Si Tian project,the Mini-Si Tian(MST)has been ...The Si Tian project,designed to utilize 60 telescopes distributed across multiple sites in China,is a next-generation timedomain survey initiative.As a pathfinder for the Si Tian project,the Mini-Si Tian(MST)has been proposed and implemented to test the Si Tian’s brain and data pipeline,and to evaluate the feasibility of its technology and science cases.Mounted at the Xinglong Observatory,the MST project comprises three 30 cm telescopes and has been operated since 2022 November.Each telescope of the MST possesses a large field of view,covering 2°.29×1°.53 FOV,and is equipped withg',r'andi'filters,respectively.Acting as the pioneer of the forthcoming Si Tian project,the MST is dedicated to the discovery of variable stars,transients,and outburst events,and has already obtained some interesting scientific results.In this paper,we will summarize the first-two-year operation of the MST project.展开更多
Graph Neural Networks(GNNs)have demonstrated outstanding capabilities in processing graph-structured data and are increasingly being integrated into large-scale pre-trained models,such as Large Language Models(LLMs),t...Graph Neural Networks(GNNs)have demonstrated outstanding capabilities in processing graph-structured data and are increasingly being integrated into large-scale pre-trained models,such as Large Language Models(LLMs),to enhance structural reasoning,knowledge retrieval,and memory management.The expansion of their application scope imposes higher requirements on the robustness of GNNs.However,as GNNs are applied to more dynamic and heterogeneous environments,they become increasingly vulnerable to real-world perturbations.In particular,graph data frequently encounters joint adversarial perturbations that simultaneously affect both structures and features,which are significantly more challenging than isolated attacks.These disruptions,caused by incomplete data,malicious attacks,or inherent noise,pose substantial threats to the stable and reliable performance of traditional GNN models.To address this issue,this study proposes the Dual-Shield Graph Neural Network(DSGNN),a defense model that simultaneously mitigates structural and feature perturbations.DSGNN utilizes two parallel GNN channels to independently process structural noise and feature noise,and introduces an adaptive fusion mechanism that integrates information from both pathways to generate robust node representations.Theoretical analysis demonstrates that DSGNN achieves a tighter robustness boundary under joint perturbations compared to conventional single-channel methods.Experimental evaluations across Cora,CiteSeer,and Industry datasets show that DSGNN achieves the highest average classification accuracy under various adversarial settings,reaching 81.24%,71.94%,and 81.66%,respectively,outperforming GNNGuard,GCN-Jaccard,GCN-SVD,RGCN,and NoisyGNN.These results underscore the importance of multi-view perturbation decoupling in constructing resilient GNN models for real-world applications.展开更多
Here,we present a regulation strategy involving heteroatom doping and structural construction to adjust zincophilic sites and electric field distribution,achieving a robust and dendrite-free Zn host anode.Theoretical ...Here,we present a regulation strategy involving heteroatom doping and structural construction to adjust zincophilic sites and electric field distribution,achieving a robust and dendrite-free Zn host anode.Theoretical calculations and experimental results confirm that sulfur atoms can provide moderate zincophilicity,while graphene-like nanosheets can even the electric field distribution,imparting the sulfurdoped graphene-like network(S-GP) with a longer lifespan(exceeding 500 h) and acceptable coulombic efficiency.Importantly,the S-GP host is used as the substrate for flexible Zn-ion batteries,exhibiting impressive electrochemical performance and great mechanical flexibility,indicating a broad application prospect in portable and wearable electronic devices.展开更多
The growth of dendrites and the side reactions occurring at the Zn anode pose significant challenges to the commercialization of aqueous Zn-ion batteries(AZIBs). These challenges arise from the inherent conflict betwe...The growth of dendrites and the side reactions occurring at the Zn anode pose significant challenges to the commercialization of aqueous Zn-ion batteries(AZIBs). These challenges arise from the inherent conflict between mass transfer and electrochemical kinetics. In this study, we propose the use of a multifunctional electrolyte additive based on the xylose(Xylo) molecule to address these issues by modulating the solvation structure and electrode/electrolyte interface, thereby stabilizing the Zn anode. The introduction of the additive alters the solvation structure, creating steric hindrance that impedes charge transfer and then reduces electrochemical kinetics. Furthermore, in-situ analyses demonstrate that the reconstructed electrode/electrolyte interface facilitates stable and rapid Zn^(2+)ion migration and suppresses corrosion and hydrogen evolution reactions. As a result, symmetric cells incorporating the Xylo additive exhibit significantly enhanced reversibility during the Zn plating/stripping process, with an impressively long lifespan of up to 1986 h, compared to cells using pure ZnSO4electrolyte. When combined with a polyaniline cathode, the full cells demonstrate improved capacity and long-term cyclic stability. This work offers an effective direction for improving the stability of Zn anode via electrolyte design, as well as highperformance AZIBs.展开更多
背景与目的肺浸润性黏液腺癌(invasive mucinous adenocarcinoma of the lung,IMA)是肺腺癌中一种少见且特殊的类型,该类肿瘤的特点往往是少有淋巴结转移,因此对于该类肿瘤的预后评估依靠现有的肿瘤原发灶-淋巴结-转移(tumor-node-metas...背景与目的肺浸润性黏液腺癌(invasive mucinous adenocarcinoma of the lung,IMA)是肺腺癌中一种少见且特殊的类型,该类肿瘤的特点往往是少有淋巴结转移,因此对于该类肿瘤的预后评估依靠现有的肿瘤原发灶-淋巴结-转移(tumor-node-metastasis,TNM)分期存在困难。本研究的目的是构建列线图来预测术后淋巴结阴性的IMA患者的预后。方法根据纳入标准和排除标准,回顾性分析2012年7月至2017年5月宁波大学附属李惠利医院(训练队列,n=78)和宁波市第二医院(验证队列,n=66)胸外科收治的术后病理为淋巴结阴性的IMA患者的资料,分析训练队列的临床病理特征的预后价值并建立预后预测模型,并对模型性能进行评价,最后将验证队列的数据代入进行外部验证。结果单因素分析显示肺炎型、较大的肿块、包含黏液和非黏液成分的混合型、较高的总分期是5年无进展生存期(progression-free survival,PFS)及总生存期(overall survival,OS)的影响因素。多因素分析进一步表明,影像学分型、肿块大小、黏液成分是5年PFS及OS的独立预后因素。5年PFS率和OS率分别为62.82%和75.64%,亚组的生存分析显示,肺炎型和包含黏液和非黏液成分的混合型IMA患者的5年PFS及OS分别明显低于孤立型和纯黏液型IMA患者。5年PFS和OS的Harrell’s C指数分别为0.815(95%CI:0.741-0.889)和0.767(95%CI:0.669-0.865),这两个模型的校准曲线及决策曲线分析(decision curve analysis,DCA)在两个队列中显示出良好的预测性能。结论本次基于临床病理特征构建的列线图在一定程度上可以作为IMA切除术后淋巴结阴性患者的一种有效预后预测工具。展开更多
The issue of plastic pollution has attracted widespread social attention.Gelatin is valued as a degradable bio-based material,especially as an edible active packaging material.However,the commonly used solution-castin...The issue of plastic pollution has attracted widespread social attention.Gelatin is valued as a degradable bio-based material,especially as an edible active packaging material.However,the commonly used solution-casting filmforming technology limits the mass production of gelatin films.In order to improve the production efficiency and enhance the commercial value of gelatin films,in this study,fish gelatin(FG)particles were successfully blended with essential oils(EOs)to prepare active films by melt extrusion technique,a common method for commercial plastics,and applied to bread preservation.FG and EOs showed good compatibility with each other.The elongation at break was enhanced in all samples of films containing EOs.The addition of EOs weakened the oxygen barrier properties of the FG films.The gelatin films containing clove EO showed the highest DPPH radical scavenging rate of 39.38%.The films containing oregano EO showed the highest antibacterial activity,with 98.84%and 99.86% against S.aureus and E.coli,respectively.The bread preservation results showed a slower microbial growth rate in the samples preserved by the active films.The bread samples preserved in commercial PE film showed mold on day 3,and the bread samples preserved in active gelatin film showed mold visible to the naked eye by day 7.This study demonstrates the potential of gelatin-based activated films for commercial application in baked goods preservation.展开更多
High levels of Al and Ti in superalloy compositions normally lead to cracking formation during the laser powder bed fusion process,while these elements are key constituents of strengthening phases.In the current study...High levels of Al and Ti in superalloy compositions normally lead to cracking formation during the laser powder bed fusion process,while these elements are key constituents of strengthening phases.In the current study,a novel Co-based superalloy with the basic chemical composition of Co-Al-W-Ta-Ti resolved this contradiction,indicating that the part was formed without cracking and simultaneously contained a large amount of strengthening precipitates in the microstructure fabricated via laser powder bed fusion.The printability,microstructures,and mechanical properties of the sample were analysed before and after heat treatment,providing a potential superalloy that can replace Ni-based superalloys fabricated by additive manufacturing in aerospace and other industries with higher temperature and more efficiency.展开更多
Chiralα-substituted 1,3-dihydroisobenzofurans are key scaffolds in a number of bioactive natural products and synthetic pharmaceuticals.However,catalytic asymmetric approaches have been rarely developed.Here,a redox ...Chiralα-substituted 1,3-dihydroisobenzofurans are key scaffolds in a number of bioactive natural products and synthetic pharmaceuticals.However,catalytic asymmetric approaches have been rarely developed.Here,a redox deracemization technology is adopted to address the catalytic asymmetric synthesis.A broad range ofα-aryl substituted 1,3-dihydroisobenzofurans are effectively deracemized in high efficiency with excellent ee.α-Alkynyl substituted ethers were also compatible with the deracemization technology.展开更多
Long period variable(LPV)stars are very promising distance indicators in the infrared bands.We selected asymptotic giant branch(AGB)stars in the Large and Small Magellanic Cloud(LMC and SMC)from the Gaia Data Release ...Long period variable(LPV)stars are very promising distance indicators in the infrared bands.We selected asymptotic giant branch(AGB)stars in the Large and Small Magellanic Cloud(LMC and SMC)from the Gaia Data Release 3 LPV catalog,and classified them into oxygen-rich(O-rich)and carbon-rich(C-rich)AGB stars.Using the Wide-field Infrared Survey Explorer database,we determined the W1-and W2-band period-luminosity relations(PLRs)for each pulsation-mode sequence of AGB stars.The dispersion of the PLRs of O-rich AGB stars in sequences C'and C is relatively small,around 0.14 mag.The PLRs of LMC and SMC are consistent in each sequence.In the W2 band,the PLR of large-amplitude C-rich AGB stars is steeper than that of small-amplitude C-rich AGB stars,due to their more circumstellar dust.By two methods,we find that some PLR sequences of O-rich AGB stars in the LMC are dependent on metallicity.The coefficients of the metallicity effect areβ=-0.533±0.213 mag dex~1andβ=-0.767±0.158 mag dex~1for sequence C in W1 and W2 bands,respectively.The significance of the metallicity effect in W1 band for the four sequences is 2.2-3.5σ.Both of these imply that distance measurements using O-rich Mira may need to take the metallicity effect into account.展开更多
Eukaryotic translation initiation factor 5A （eIFSA） is a protein-translation initiation factor in eukaryotic cells. Recent studies found that elFSA plays an important role in regulating the processes of cellular sen...Eukaryotic translation initiation factor 5A （eIFSA） is a protein-translation initiation factor in eukaryotic cells. Recent studies found that elFSA plays an important role in regulating the processes of cellular senescence and death, environmental stress response and immune response in animal and plant cells. In the present study, a cDNA containing the complete amino acid sequence of eIFSA was obtained for the first time by sequencing the Litopenaeus vannamei cDNA library, which contained a 474 bp long open reading frame encoding 157 amino acids, with the predicted molecular weight of about 17. 257 ku and theoretical isoelectric point of 5.06. Comparison analysis showed that the amino acid sequence of elFSA gene in L vannamei shared relatively high homology with that in other species. Real-time quantitative RT-PCR results indicated that the mRNA expression of elFSA gene in different tissues of L. vannamei exhibited no significant difference. Real-time quantitative RT-PCR analysis of L. vannamei hepatopancreas infected with WSSV, TSV and IHHNV showed that the mRNA levels of elFSA gene was re- spectively significantly increased, which was 2.2, 2.5 and 1.6 times of that in control group, indicating that eIFSA may be involved in the antiviral immune response of L. vannamei.展开更多
Objective:To analyze the effect of optimizing the emergency nursing process in the resuscitation of patients with acute chest pain and the impact on the resuscitation success rate.Methods:66 patients with acute chest ...Objective:To analyze the effect of optimizing the emergency nursing process in the resuscitation of patients with acute chest pain and the impact on the resuscitation success rate.Methods:66 patients with acute chest pain received by the emergency department of our hospital from January 2022 to December 2023 were selected as the study subjects and divided into two groups according to the differences in the emergency nursing process,i.e.,33 patients receiving routine emergency care were included in the control group,and 33 patients receiving the optimization of emergency nursing process intervention were included in the observation group.Patients’resuscitation effect and satisfaction with nursing care in the two groups were compared.Results:The observation group’s consultation assessment time,reception time,admission to the start of resuscitation time,and resuscitation time were shorter than that of the control group,the resuscitation success rate was higher than that of the control group,and the incidence of adverse events was lower than that of the control group,with statistically significant differences(P<0.05);and the observation group’s satisfaction with nursing care was higher than that of the control group,with statistically significant differences(P<0.05).Conclusion:Optimization of emergency nursing process intervention in the resuscitation of acute chest pain patients can greatly shorten the rescue time and improve the success rate of resuscitation,with higher patient satisfaction.展开更多
Perovskite nanostructured films are essential to create advanced optoelectronic and photovoltaic devices because of the additional degrees of freedom of manipulation by light reflection and structural colouration,as w...Perovskite nanostructured films are essential to create advanced optoelectronic and photovoltaic devices because of the additional degrees of freedom of manipulation by light reflection and structural colouration,as well as by light trapping and localisation,resulting in control of intensity or polarisation of luminescence.In this paper,we report structural colouration and photoluminescence anisotropy in perovskite films deposited on a substrate with laser-induced periodic surface structures(LIPSSs)on a thin TiO_(2)layer.The LIPSS TiO_(2)layer improves charge extraction from the perovskite films,confirmed by a time-resolved photoluminescence analysis.The developed method of substrate nanostructuring does not damage the perovskite films,in contrast to direct laser ablation,imprinting by a mould,mechanical scratching with a cantilever,or plasma-chemical etching.Moreover,the LIPSS formation is appropriate for upscaling owing to the high speed of LIPSS writing(2.25 cm^(2)min^(-1))and uniform surface nanostructuring.展开更多
Learning to optimize(L2O)stands at the intersection of traditional optimization and machine learning,utilizing the capabilities of machine learning to enhance conventional optimization techniques.As real-world optimiz...Learning to optimize(L2O)stands at the intersection of traditional optimization and machine learning,utilizing the capabilities of machine learning to enhance conventional optimization techniques.As real-world optimization problems frequently share common structures,L2O provides a tool to exploit these structures for better or faster solutions.This tutorial dives deep into L2O techniques,introducing how to accelerate optimization algorithms,promptly estimate the solutions,or even reshape the optimization problem itself,making it more adaptive to real-world applications.By considering the prerequisites for successful applications of L2O and the structure of the optimization problems at hand,this tutorial provides a comprehensive guide for practitioners and researchers alike.展开更多
Transcriptional phenotypic drug discovery has achieved great success,and various compound perturbation-based data resources,such as connectivity map(CMap)and library of integrated network-based cellular signatures(LIN...Transcriptional phenotypic drug discovery has achieved great success,and various compound perturbation-based data resources,such as connectivity map(CMap)and library of integrated network-based cellular signatures(LINCS),have been presented.Computational strategies fully mining these resources for phenotypic drug discovery have been proposed.Among them,the fundamental issue is to define the proper similarity between transcriptional profiles.Traditionally,such similarity has been defined in an unsupervised way.However,due to the high dimensionality and the existence of high noise in high-throughput data,similarity defined in the traditional way lacks robustness and has limited performance.To this end,we present Dr Sim,which is a learning-based framework that automatically infers similarity rather than defining it.We evaluated Dr Sim on publicly available in vitro and in vivo datasets in drug annotation and repositioning.The results indicated that Dr Sim outperforms the existing methods.In conclusion,by learning transcriptional similarity,Dr Sim facilitates the broad utility of high-throughput transcriptional perturbation data for phenotypic drug discovery.The source code and manual of Dr Sim are available at https://github.com/bm2-lab/Dr Sim/.展开更多
Base editing technology is being increasingly applied in genome engineering,but the current strategy for designing guide RNAs(gRNAs)relies substantially on empirical experience rather than a dependable and efficient i...Base editing technology is being increasingly applied in genome engineering,but the current strategy for designing guide RNAs(gRNAs)relies substantially on empirical experience rather than a dependable and efficient in silico design.Furthermore,the pleiotropic effect of base editing on disease treatment remains unexplored,which prevents its further clinical usage.Here,we presented BExplorer,an integrated and comprehensive computational pipeline to optimize the design of gRNAs for 26 existing types of base editors in silico.Using BExplorer,we described its results for two types of mainstream base editors,BE3 and ABE7.10,and evaluated the pleiotropic effects of the corresponding base editing loci.BExplorer revealed 524 and 900 editable pathogenic single nucleotide polymorphism(SNP)loci in the human genome together with the selected optimized gRNAs for BE3 and ABE7.10,respectively.In addition,the impact of 707 edited pathogenic SNP loci following base editing on 131 diseases was systematically explored by revealing their pleiotropic effects,indicating that base editing should be carefully utilized given the potential pleiotropic effects.Collectively,the systematic exploration of optimized base editing gRNA design and the corresponding pleiotropic effects with BExplorer provides a computational basis for applying base editing in disease treatment.展开更多
基金supported by the National Key R&D Program of China(grant No.2023YFA1608304 and No.2023YFA1608300)the Strategic Priority Research Program of the Chinese Academy of Sciences(XDB0550100 and XDB0550000)the National Natural Science Foundation of China(NSFC,grant Nos.12090041,12090040,11903054,12422303,and 12261141690)。
文摘The Si Tian project,designed to utilize 60 telescopes distributed across multiple sites in China,is a next-generation timedomain survey initiative.As a pathfinder for the Si Tian project,the Mini-Si Tian(MST)has been proposed and implemented to test the Si Tian’s brain and data pipeline,and to evaluate the feasibility of its technology and science cases.Mounted at the Xinglong Observatory,the MST project comprises three 30 cm telescopes and has been operated since 2022 November.Each telescope of the MST possesses a large field of view,covering 2°.29×1°.53 FOV,and is equipped withg',r'andi'filters,respectively.Acting as the pioneer of the forthcoming Si Tian project,the MST is dedicated to the discovery of variable stars,transients,and outburst events,and has already obtained some interesting scientific results.In this paper,we will summarize the first-two-year operation of the MST project.
基金funded by the Key Research and Development Program of Zhejiang Province No.2023C01141the Science and Technology Innovation Community Project of the Yangtze River Delta No.23002410100suported by the Open Research Fund of the State Key Laboratory of Blockchain and Data Security,Zhejiang University.
文摘Graph Neural Networks(GNNs)have demonstrated outstanding capabilities in processing graph-structured data and are increasingly being integrated into large-scale pre-trained models,such as Large Language Models(LLMs),to enhance structural reasoning,knowledge retrieval,and memory management.The expansion of their application scope imposes higher requirements on the robustness of GNNs.However,as GNNs are applied to more dynamic and heterogeneous environments,they become increasingly vulnerable to real-world perturbations.In particular,graph data frequently encounters joint adversarial perturbations that simultaneously affect both structures and features,which are significantly more challenging than isolated attacks.These disruptions,caused by incomplete data,malicious attacks,or inherent noise,pose substantial threats to the stable and reliable performance of traditional GNN models.To address this issue,this study proposes the Dual-Shield Graph Neural Network(DSGNN),a defense model that simultaneously mitigates structural and feature perturbations.DSGNN utilizes two parallel GNN channels to independently process structural noise and feature noise,and introduces an adaptive fusion mechanism that integrates information from both pathways to generate robust node representations.Theoretical analysis demonstrates that DSGNN achieves a tighter robustness boundary under joint perturbations compared to conventional single-channel methods.Experimental evaluations across Cora,CiteSeer,and Industry datasets show that DSGNN achieves the highest average classification accuracy under various adversarial settings,reaching 81.24%,71.94%,and 81.66%,respectively,outperforming GNNGuard,GCN-Jaccard,GCN-SVD,RGCN,and NoisyGNN.These results underscore the importance of multi-view perturbation decoupling in constructing resilient GNN models for real-world applications.
文摘Here,we present a regulation strategy involving heteroatom doping and structural construction to adjust zincophilic sites and electric field distribution,achieving a robust and dendrite-free Zn host anode.Theoretical calculations and experimental results confirm that sulfur atoms can provide moderate zincophilicity,while graphene-like nanosheets can even the electric field distribution,imparting the sulfurdoped graphene-like network(S-GP) with a longer lifespan(exceeding 500 h) and acceptable coulombic efficiency.Importantly,the S-GP host is used as the substrate for flexible Zn-ion batteries,exhibiting impressive electrochemical performance and great mechanical flexibility,indicating a broad application prospect in portable and wearable electronic devices.
文摘The growth of dendrites and the side reactions occurring at the Zn anode pose significant challenges to the commercialization of aqueous Zn-ion batteries(AZIBs). These challenges arise from the inherent conflict between mass transfer and electrochemical kinetics. In this study, we propose the use of a multifunctional electrolyte additive based on the xylose(Xylo) molecule to address these issues by modulating the solvation structure and electrode/electrolyte interface, thereby stabilizing the Zn anode. The introduction of the additive alters the solvation structure, creating steric hindrance that impedes charge transfer and then reduces electrochemical kinetics. Furthermore, in-situ analyses demonstrate that the reconstructed electrode/electrolyte interface facilitates stable and rapid Zn^(2+)ion migration and suppresses corrosion and hydrogen evolution reactions. As a result, symmetric cells incorporating the Xylo additive exhibit significantly enhanced reversibility during the Zn plating/stripping process, with an impressively long lifespan of up to 1986 h, compared to cells using pure ZnSO4electrolyte. When combined with a polyaniline cathode, the full cells demonstrate improved capacity and long-term cyclic stability. This work offers an effective direction for improving the stability of Zn anode via electrolyte design, as well as highperformance AZIBs.
基金supported by the Program of Shanghai Tobacco Group Open Fund (20210105).
文摘The issue of plastic pollution has attracted widespread social attention.Gelatin is valued as a degradable bio-based material,especially as an edible active packaging material.However,the commonly used solution-casting filmforming technology limits the mass production of gelatin films.In order to improve the production efficiency and enhance the commercial value of gelatin films,in this study,fish gelatin(FG)particles were successfully blended with essential oils(EOs)to prepare active films by melt extrusion technique,a common method for commercial plastics,and applied to bread preservation.FG and EOs showed good compatibility with each other.The elongation at break was enhanced in all samples of films containing EOs.The addition of EOs weakened the oxygen barrier properties of the FG films.The gelatin films containing clove EO showed the highest DPPH radical scavenging rate of 39.38%.The films containing oregano EO showed the highest antibacterial activity,with 98.84%and 99.86% against S.aureus and E.coli,respectively.The bread preservation results showed a slower microbial growth rate in the samples preserved by the active films.The bread samples preserved in commercial PE film showed mold on day 3,and the bread samples preserved in active gelatin film showed mold visible to the naked eye by day 7.This study demonstrates the potential of gelatin-based activated films for commercial application in baked goods preservation.
基金supported by the Shenzhen-Hong Kong Sci-ence and Technology Innovation Cooperation Zone Shenzhen Park Project(Grant No.HZQB-KCZYB-2020030)the RGC Theme-based Research Scheme(Grant No.AoE/M-402/20)+1 种基金National Nat-ural Science Foundation of China(Grant No.52250710160)Shenzhen Science and Technology Innovation Committee(Grant Nos.KQTD20170328154443162,JCYJ20210324104610029,and JCYJ20220818100613028).
文摘High levels of Al and Ti in superalloy compositions normally lead to cracking formation during the laser powder bed fusion process,while these elements are key constituents of strengthening phases.In the current study,a novel Co-based superalloy with the basic chemical composition of Co-Al-W-Ta-Ti resolved this contradiction,indicating that the part was formed without cracking and simultaneously contained a large amount of strengthening precipitates in the microstructure fabricated via laser powder bed fusion.The printability,microstructures,and mechanical properties of the sample were analysed before and after heat treatment,providing a potential superalloy that can replace Ni-based superalloys fabricated by additive manufacturing in aerospace and other industries with higher temperature and more efficiency.
基金financial supported by the National Natural Science Foundation of China(Nos.21971148)Shenzhen Special Funds(No.JCYJ20190807093805572)。
文摘Chiralα-substituted 1,3-dihydroisobenzofurans are key scaffolds in a number of bioactive natural products and synthetic pharmaceuticals.However,catalytic asymmetric approaches have been rarely developed.Here,a redox deracemization technology is adopted to address the catalytic asymmetric synthesis.A broad range ofα-aryl substituted 1,3-dihydroisobenzofurans are effectively deracemized in high efficiency with excellent ee.α-Alkynyl substituted ethers were also compatible with the deracemization technology.
基金supported by the National Natural Science Foundation of China(NSFC,Grant Nos.12173047,12322306,12003046,12233009,and 12133002)support from the Youth Innovation Promotion Association of the Chinese Academy of Sciences(no.2022055 and 2023065)support from the National Key Research and Development Program of China,grants 2022YFF0503404 and 2019YFA0405504。
文摘Long period variable(LPV)stars are very promising distance indicators in the infrared bands.We selected asymptotic giant branch(AGB)stars in the Large and Small Magellanic Cloud(LMC and SMC)from the Gaia Data Release 3 LPV catalog,and classified them into oxygen-rich(O-rich)and carbon-rich(C-rich)AGB stars.Using the Wide-field Infrared Survey Explorer database,we determined the W1-and W2-band period-luminosity relations(PLRs)for each pulsation-mode sequence of AGB stars.The dispersion of the PLRs of O-rich AGB stars in sequences C'and C is relatively small,around 0.14 mag.The PLRs of LMC and SMC are consistent in each sequence.In the W2 band,the PLR of large-amplitude C-rich AGB stars is steeper than that of small-amplitude C-rich AGB stars,due to their more circumstellar dust.By two methods,we find that some PLR sequences of O-rich AGB stars in the LMC are dependent on metallicity.The coefficients of the metallicity effect areβ=-0.533±0.213 mag dex~1andβ=-0.767±0.158 mag dex~1for sequence C in W1 and W2 bands,respectively.The significance of the metallicity effect in W1 band for the four sequences is 2.2-3.5σ.Both of these imply that distance measurements using O-rich Mira may need to take the metallicity effect into account.
基金Supported by National Natural Science Foundation of China(31160531)
文摘Eukaryotic translation initiation factor 5A （eIFSA） is a protein-translation initiation factor in eukaryotic cells. Recent studies found that elFSA plays an important role in regulating the processes of cellular senescence and death, environmental stress response and immune response in animal and plant cells. In the present study, a cDNA containing the complete amino acid sequence of eIFSA was obtained for the first time by sequencing the Litopenaeus vannamei cDNA library, which contained a 474 bp long open reading frame encoding 157 amino acids, with the predicted molecular weight of about 17. 257 ku and theoretical isoelectric point of 5.06. Comparison analysis showed that the amino acid sequence of elFSA gene in L vannamei shared relatively high homology with that in other species. Real-time quantitative RT-PCR results indicated that the mRNA expression of elFSA gene in different tissues of L. vannamei exhibited no significant difference. Real-time quantitative RT-PCR analysis of L. vannamei hepatopancreas infected with WSSV, TSV and IHHNV showed that the mRNA levels of elFSA gene was re- spectively significantly increased, which was 2.2, 2.5 and 1.6 times of that in control group, indicating that eIFSA may be involved in the antiviral immune response of L. vannamei.
文摘Objective:To analyze the effect of optimizing the emergency nursing process in the resuscitation of patients with acute chest pain and the impact on the resuscitation success rate.Methods:66 patients with acute chest pain received by the emergency department of our hospital from January 2022 to December 2023 were selected as the study subjects and divided into two groups according to the differences in the emergency nursing process,i.e.,33 patients receiving routine emergency care were included in the control group,and 33 patients receiving the optimization of emergency nursing process intervention were included in the observation group.Patients’resuscitation effect and satisfaction with nursing care in the two groups were compared.Results:The observation group’s consultation assessment time,reception time,admission to the start of resuscitation time,and resuscitation time were shorter than that of the control group,the resuscitation success rate was higher than that of the control group,and the incidence of adverse events was lower than that of the control group,with statistically significant differences(P<0.05);and the observation group’s satisfaction with nursing care was higher than that of the control group,with statistically significant differences(P<0.05).Conclusion:Optimization of emergency nursing process intervention in the resuscitation of acute chest pain patients can greatly shorten the rescue time and improve the success rate of resuscitation,with higher patient satisfaction.
基金the Interdisciplinary Resource Center for Nanotechnology of Saint Petersburg State University within the framework of project no.AAAAA19-119091190094supported by the Russian Science Foundation(project no.24-62-00022)Priority 2030 Federal Academic Leadership Program.
文摘Perovskite nanostructured films are essential to create advanced optoelectronic and photovoltaic devices because of the additional degrees of freedom of manipulation by light reflection and structural colouration,as well as by light trapping and localisation,resulting in control of intensity or polarisation of luminescence.In this paper,we report structural colouration and photoluminescence anisotropy in perovskite films deposited on a substrate with laser-induced periodic surface structures(LIPSSs)on a thin TiO_(2)layer.The LIPSS TiO_(2)layer improves charge extraction from the perovskite films,confirmed by a time-resolved photoluminescence analysis.The developed method of substrate nanostructuring does not damage the perovskite films,in contrast to direct laser ablation,imprinting by a mould,mechanical scratching with a cantilever,or plasma-chemical etching.Moreover,the LIPSS formation is appropriate for upscaling owing to the high speed of LIPSS writing(2.25 cm^(2)min^(-1))and uniform surface nanostructuring.
文摘Learning to optimize(L2O)stands at the intersection of traditional optimization and machine learning,utilizing the capabilities of machine learning to enhance conventional optimization techniques.As real-world optimization problems frequently share common structures,L2O provides a tool to exploit these structures for better or faster solutions.This tutorial dives deep into L2O techniques,introducing how to accelerate optimization algorithms,promptly estimate the solutions,or even reshape the optimization problem itself,making it more adaptive to real-world applications.By considering the prerequisites for successful applications of L2O and the structure of the optimization problems at hand,this tutorial provides a comprehensive guide for practitioners and researchers alike.
基金supported by the National Key R&D Program of China(Grant Nos.2021YFF1201200 and 2021YFF1200900)the National Natural Science Foundation of China(Grant Nos.31970638 and 61572361)+5 种基金the Shanghai Natural Science Foundation Program(Grant No.17ZR1449400)the Shanghai Artificial Intelligence Technology Standard Project(Grant No.19DZ2200900)the Shanghai Shuguang scholars projectthe We Bank scholars projectthe Shanghai outstanding academic leaders projectthe Fundamental Research Funds for the Central Universities,China。
文摘Transcriptional phenotypic drug discovery has achieved great success,and various compound perturbation-based data resources,such as connectivity map(CMap)and library of integrated network-based cellular signatures(LINCS),have been presented.Computational strategies fully mining these resources for phenotypic drug discovery have been proposed.Among them,the fundamental issue is to define the proper similarity between transcriptional profiles.Traditionally,such similarity has been defined in an unsupervised way.However,due to the high dimensionality and the existence of high noise in high-throughput data,similarity defined in the traditional way lacks robustness and has limited performance.To this end,we present Dr Sim,which is a learning-based framework that automatically infers similarity rather than defining it.We evaluated Dr Sim on publicly available in vitro and in vivo datasets in drug annotation and repositioning.The results indicated that Dr Sim outperforms the existing methods.In conclusion,by learning transcriptional similarity,Dr Sim facilitates the broad utility of high-throughput transcriptional perturbation data for phenotypic drug discovery.The source code and manual of Dr Sim are available at https://github.com/bm2-lab/Dr Sim/.
基金supported by the National Key R&D Program of China(Grant No.2021YFF1201200)the National Natural Science Foundation of China(Grant Nos.31970638 and 61572361)+2 种基金the Shanghai Natural Science Foundation Program(Grant No.17ZR1449400)the Shanghai Artificial Intelligence Technology Standard Project(Grant No.19DZ2200900)the Shanghai Shuguang scholars project,the WeBank scholars project,and the Fundamental Research Funds for the Central Universities.
文摘Base editing technology is being increasingly applied in genome engineering,but the current strategy for designing guide RNAs(gRNAs)relies substantially on empirical experience rather than a dependable and efficient in silico design.Furthermore,the pleiotropic effect of base editing on disease treatment remains unexplored,which prevents its further clinical usage.Here,we presented BExplorer,an integrated and comprehensive computational pipeline to optimize the design of gRNAs for 26 existing types of base editors in silico.Using BExplorer,we described its results for two types of mainstream base editors,BE3 and ABE7.10,and evaluated the pleiotropic effects of the corresponding base editing loci.BExplorer revealed 524 and 900 editable pathogenic single nucleotide polymorphism(SNP)loci in the human genome together with the selected optimized gRNAs for BE3 and ABE7.10,respectively.In addition,the impact of 707 edited pathogenic SNP loci following base editing on 131 diseases was systematically explored by revealing their pleiotropic effects,indicating that base editing should be carefully utilized given the potential pleiotropic effects.Collectively,the systematic exploration of optimized base editing gRNA design and the corresponding pleiotropic effects with BExplorer provides a computational basis for applying base editing in disease treatment.
