High-Entropy Alloys(HEAs)exhibit significant potential across multiple domains due to their unique properties.However,conventional research methodologies face limitations in composition design,property prediction,and ...High-Entropy Alloys(HEAs)exhibit significant potential across multiple domains due to their unique properties.However,conventional research methodologies face limitations in composition design,property prediction,and process optimization,characterized by low efficiency and high costs.The integration of Artificial Intelligence(AI)technologies has provided innovative solutions for HEAs research.This review presented a detailed overview of recent advancements in AI applications for structural modeling and mechanical property prediction of HEAs.Furthermore,it discussed the advantages of big data analytics in facilitating alloy composition design and screening,quality control,and defect prediction,as well as the construction and sharing of specialized material databases.The paper also addressed the existing challenges in current AI-driven HEAs research,including issues related to data quality,model interpretability,and cross-domain knowledge integration.Additionally,it proposed prospects for the synergistic development of AI-enhanced computational materials science and experimental validation systems.展开更多
Given the limitations of traditional hot extrusion methods in improving the microstructure and mechanical properties of magnesium(Mg)alloys,this paper attempts to treat AZ31 Mg alloy billet by pre-upsetting continuous...Given the limitations of traditional hot extrusion methods in improving the microstructure and mechanical properties of magnesium(Mg)alloys,this paper attempts to treat AZ31 Mg alloy billet by pre-upsetting continuous variable cross-section direct extrusion(U-CVCDE).The effects of dynamic recrystallization behavior and slip system activity on texture evolution and mechanical properties of CVCDE Mg alloys with different pre-upsetting amounts were systematically analyzed.The results indicate that the introduction of the pre-upsetting process promotes dynamic recrystallization during the CVCDE process.The recrystallization proportion shows a trend of first rising and then decreasing with the increase of the pre-upsetting amount.Among them,the proportion of recrystallization grains in the U2-CVCDE-formed structural parts is as high as 88.3%.The average grain sizes of U1-CVCDE,U2-CVCDE,and U3-CVCDE were 6.01μm,4.90μm,and10.45μm,respectively.In addition,following U-CVCDE,the pyramidal slip of each forming component consistently maintains a high level of activation and opening and dominates,making more grains deflect in the axial extrusion direction of C to varying degrees,which is conducive to the uniform distribution of stress in more grains during plastic deformation.The synergistic effect of dynamic recrystallization behavior and the high activity of the pyramidal slip system significantly weakened the(0001)basal texture strength,and the maximum basal texture strength showed a gradually decreasing trend,among which the base surface texture strength of U3-CVCDE formed parts was only 9.9.The U-CVCDE process is employed to achieve deep modification of Mg alloy,and excellent comprehensive mechanical properties are obtained;among them,the yield and tensile strength of U2-CVCDE are as high as 243.4 MPa and 317.5 MPa,respectively,and the elongation after breaking is up to 21.3%.This study introduces a practical new idea for investigating the extrusion forming technology of high-performance Mg alloys.展开更多
This paper systematically analyzed the development status of sheep industry in Lubei region,and comprehensively expounded the scale and distribution of key industries,breed resources and genetic characteristics,feedin...This paper systematically analyzed the development status of sheep industry in Lubei region,and comprehensively expounded the scale and distribution of key industries,breed resources and genetic characteristics,feeding management status,disease prevention and control and veterinary services,and sheep product processing and sales.The research shows that the sheep industry in Lubei region has formed a certain scale,but there are some problems such as intensified resource and environmental constraints,unreasonable industrial structure,insufficient scientific and technological innovation capacity and market competitiveness to be improved.In view of these problems,this paper put forward some countermeasures and suggestions to promote the high-quality development of the industry,including establishing forage and feed system,promoting the adjustment and optimization of industrial structure,strengthening scientific and technological innovation and talent cultivation and introduction,and enhancing brand influence and market competitiveness,providing useful reference for the sustainable development of sheep industry in Lubei region.展开更多
BACKGROUND Schizophrenia(SZ),a chronic and widespread brain disorder,presents with complex etiology and pathogenesis that remain inadequately understood.Despite the absence of a universally recognized endophenotype,pe...BACKGROUND Schizophrenia(SZ),a chronic and widespread brain disorder,presents with complex etiology and pathogenesis that remain inadequately understood.Despite the absence of a universally recognized endophenotype,peripheral blood mononuclear cells(PBMCs)serve as a robust model for investigating intracellular alterations linked to SZ.AIM To preliminarily investigate potential pathogenic mechanisms and identify novel biomarkers for SZ.METHODS PBMCs from SZ patients were subjected to integrative transcriptomic and proteomic analyses to uncover differentially expressed genes(DEGs)and differentially expressed proteins while mapping putative disease-associated signaling pathways.Key findings were validated using western blot(WB)and real-time fluorescence quantitative PCR(RT-qPCR).RNAi-lentivirus was employed to transfect rat hippocampal CA1 neurons in vitro,with subsequent verification of target gene expression via RT-qPCR.The levels of neuronal conduction proteins,including calmodulin-dependent protein kinase II(caMKII),CREB,and BDNF,were assessed through WB.Apoptosis was quantified by flow cytometry,while cell proliferation and viability were evaluated using the Cell Counting Kit-8 assay.RESULTS The integration of transcriptomic and proteomic analyses identified 6079 co-expressed genes,among which 25 DEGs were significantly altered between the SZ group and healthy controls.Notably,haptoglobin(HP),lactotransferrin(LTF),and SERPING1 exhibited marked upregulation.KEGG pathway enrichment analysis implicated neuroactive ligand-receptor interaction pathways in disease pathogenesis.Clinical sample validation demonstrated elevated protein and mRNA levels of HP,LTF,and SERPING1 in the SZ group compared to controls.WB analysis of all clinical samples further corroborated the significant upregulation of SERPING1.In hippocampal CA1 neurons transfected with lentivirus,reduced SERPING1 expression was accompanied by increased levels of CaMKII,CREB,and BDNF,enhanced cell viability,and reduced apoptosis.CONCLUSION SERPING1 may suppress neural cell proliferation in SZ patients via modulation of the CaMKII-CREB-BDNF signaling pathway.展开更多
The effects of synthesis conditions,especially the heating rate,on the reaction kinetics of Ni-rich cathodes were systematically studied.The growth rate of Ni-rich oxide increases continuously as the heating rate incr...The effects of synthesis conditions,especially the heating rate,on the reaction kinetics of Ni-rich cathodes were systematically studied.The growth rate of Ni-rich oxide increases continuously as the heating rate increases.Ab initio molecular dynamics simulations demonstrate that a high heating rate induces anabatic oscillations,indicating a decrease in thermodynamic stability and a tendency for the crystal surface to undergo reconstruction.The presence of an intermediate phase at the grain boundary amplifies atomic migration-induced interface fusion and consequently augments crystal growth kinetics.However,the excessively high heating rate aggravates the Li+/Ni2+mixing in the Ni-rich cathode.The single-crystal Ni-rich cathode exhibits enhanced structural/thermal stability but a decreased specific capacity and rate performance compared with its polycrystalline counterpart.展开更多
This study systematically investigates the unusual tensile mechanical behavior of Mg-RE solid solution(SS)alloys,exhibiting anomalous tensile strengths(ATS)and an enhanced strain-hardening rate at high temperature.Bot...This study systematically investigates the unusual tensile mechanical behavior of Mg-RE solid solution(SS)alloys,exhibiting anomalous tensile strengths(ATS)and an enhanced strain-hardening rate at high temperature.Both the peak ultimate tensile strength(UTS)and tensile yield strength(TYS)values occur at 150-200℃,which are 12-50%higher compared to those at room temperature(RT).Meanwhile,the strain-hardening rate increases with the temperature rising from RT to 200℃ during the plastic deformation process.The results reveal that the formation of stacking faults(SFs)and the locking of dislocations,particularly immobile (c) partial dislocations,enhance resistance to plastic deformation,leading to higher strengths at high temperature.Furthermore,the interactivity between SFs and (c+a) dislocations intensify with rising of temperature.The presence of RE atoms in the SS plays a critical role in this unique mechanical behavior,as they preferentially occupy non-basal planes rather than basal planes,thereby reducing the stacking fault(SF)formation energy.This study provides new insights into the high-temperature strengthening mechanisms of Mg-RE based alloys,offering potential guidance for the design of advanced lightweight materials with superior mechanical properties.展开更多
The unique oxygen stacking sequence of O2-type structures restricts the irreversible transition metal movement into Li vacancies for the delithiated Li-rich layered oxides(LLOs)and maintains outstanding voltage stabil...The unique oxygen stacking sequence of O2-type structures restricts the irreversible transition metal movement into Li vacancies for the delithiated Li-rich layered oxides(LLOs)and maintains outstanding voltage stability.However,the ion-exchange synthesis promotes the Mn-ion valence reduction and aggravates the Jahn-Teller(J-T)distortion alongside disproportionation.Since the main oxidation state of the Mn ions is+4 in the traditional O3-type LLOs,synergistic effects of the O2-type and O3-type structures are expected in the O2/O3 diphasic Li-rich material.Herein,O2/O3 biphasic intergrowth LLOs were rationally designed,and the synergic optimization of the biphasic structure was planned to retard the J-T effect.The O2/O3 intergrowth nature was confirmed,and the percentages of the O2 and O3 phases were 56%and 44%,respectively.Density functional theory calculations demonstrated that the Mn^(2+)(EC)sheath had a remarkably lower energy barrier than the Li^(+)(EC)sheath.This finding suggests that Mn^(2+)ions that are dissolved into the electrolyte accelerate the electrolyte oxidization,so the deposition of the cathode electrolyte interface for pristine O2-LLOs causes a high electrochemical impedance.The designed O2/O3 biphasic LLOs boost the capacity stability and suppress the voltage drop upon repeated Li^(+)de-intercalation.The phase regulation strategy offers great potential for developing low-cost LLOs with enhanced structural stability for advanced Li-ion batteries.展开更多
Introducing ligand into the surface of gold(Au)-based catalyst has been recognized as an efficient strategy to enhance the performance of catalyst in acetylene hydrochlorination reaction.However,due to the multifactor...Introducing ligand into the surface of gold(Au)-based catalyst has been recognized as an efficient strategy to enhance the performance of catalyst in acetylene hydrochlorination reaction.However,due to the multifactorial deactivation,the usage of single type of ligand has limitations on the performance improvement.In this work,two types of ligands including a molecular 2-methylimidazole and an ionic cetrimonium are selected to protect Au^(n+)species.After kinetics analysis,advanced characterization,and density functional theory simulation,we demonstrate the optimal interaction model between two ligands and Au species:Two 2-methylimidazole molecules are coordinated with high-valent Au species while cetrimonium is interacted via electrostatic interaction.Except the synergistic effect in the decrease of Au species reduction and agglomeration,the existence of molecular ligand greatly increases the adsorption of hydrogen chloride while the ionic ligand significantly inhibits the deposition of coke.Due to the positive effect of dual-ligands,we achieved 97.1%of acetylene conversion and 0.29 h^(−1) of deactivation rate under high gas hourly space velocity of acetylene.This work establishes a foundation to explore the property-activity relationships in Au-based catalyst via ligand engineering.展开更多
As a carrier to develop various marine resources, sea area is regulated as a kind of important resources through legislation by many coastal countries with a management system for the paid use of sea area. Since the e...As a carrier to develop various marine resources, sea area is regulated as a kind of important resources through legislation by many coastal countries with a management system for the paid use of sea area. Since the early 1990s, China has begun to implement the paid use and formed an institutional system comprised of three levels after developing it for more than two decades. From 2002 to 2015, the Chinese Government transferred the use right of sea area of 33,910 km2 by paid use and levied a total of 75.89 billion CNY (11.328 billion US dollars) of sea area use payment. Apart from this, the Government has gained rich experience in operating and managing the compensable use of sea area. After retrospectively analyzing the development history of paid use of China’s sea area, the research presents an institutional structure and the implementation of the management system for the paid use of sea area and the main problems therein. On this basis, management policies and feasible policy suggestions are proposed. Research results from this study can provide available references for other developing countries and emerging economies to apply and improve native management system for the paid use of sea area.展开更多
The diamond-wire sawing silicon waste(DWSSW)from the photovoltaic industry has been widely considered as a low-cost raw material for lithium-ion battery silicon-based electrode,but the effect mechanism of impurities p...The diamond-wire sawing silicon waste(DWSSW)from the photovoltaic industry has been widely considered as a low-cost raw material for lithium-ion battery silicon-based electrode,but the effect mechanism of impurities presents in DWSSW on lithium storage performance is still not well understood;meanwhile,it is urgent to develop a strategy for changing DWSSW particles into high-performance electrode materials.In this work,the occurrence state of impurities presents in DWSSW was carefully analyzed using in situ Ar ion etching technology Then,the novel Si@C@SiO_(x)@PAl-NDC composite was designed through in situ encapsulation strategy.The obtained Si@C@SiO_(x)@PAl-NDC electrode shows a high first capacity of 2343.4 mAh·g^(-1)with an initial Coulombic efficiency(ICE)of 84.4%under current density of 1.0 A·g^(-1),and can deliver an impressive capacity of 984.9 mAh·g^(-1)after 200 cycles.Combined numerical simulation modeling calculations,the increase in proportion of Si^(4+)/Si^(0)and Si^(3+)/Si^(0)valence states in SiO_(x)layer leads to a decrease in von Mises stress,which ultimately improves the cycling structural stability.Meanwhile,the porous 2D-3D aluminum/nitrogen(Al/N)co-doped carbon layer and nanowires on SiO_(x)layer can provide abundant active sites for lithium storage due to its developed hierarchical pores structure,which facilitates ion transport What is more,the performance of Si@C@SiO_(x)@PAl-NDC//LiFePO_(4)full cell shows its great potential in practical application.展开更多
Ni-rich layered oxide cathodes have shown promise for high-energy lithium-ion batteries(LIBs)but are usually limited to mild environments because of their rapid performance degradation under extreme temperature condit...Ni-rich layered oxide cathodes have shown promise for high-energy lithium-ion batteries(LIBs)but are usually limited to mild environments because of their rapid performance degradation under extreme temperature conditions(below0°C and above 50 °C).Here,we report the design of F/Mo co-doped LiNi_(0.8)Co_(0.1)Mn_(0.1)O_(2)(FMNCM)cathode for high-performance LIBs from-20 to 60°C.F^(-) doping with high electronegativity into the cathode surface is found to enhance the stability of surface lattice structure and protect the interface from side reactions with the electrolyte by generating a LiF-rich surface layer.Concurrently,the Mo^(6+) doping suppresses phase transition,which blocks Li^(+)/Ni^(2+) mixing,and stabilizes lithium-ion diffusion pathway.Remarkably,the FMNCM cathode demonstrates excellent cycling stability at a high cutoff voltage of 4.4 V,even at 60°C,maintaining 90.6%capacity retention at 3 C after 150 cycles.Additionally,at temperatures as low as-20°C,it retains 77.1%of its room temperature capacity,achieving an impressive 97.5%capacity retention after 500 cycles.Such stable operation under wide temperatures has been further validated in practical Ah-level pouch-cells.This study sheds light on both fundamental mechanisms and practical implications for the design of advanced cathode materials for wide-temperature LIBs,presenting a promising path towards high-energy and long-cycling LIBs with temperatureadaptability.展开更多
Addressing the challenges posed by the nonlinear and non-stationary vibrations in rotating machinery,where weak fault characteristic signals hinder accurate fault state representation,we propose a novel feature extrac...Addressing the challenges posed by the nonlinear and non-stationary vibrations in rotating machinery,where weak fault characteristic signals hinder accurate fault state representation,we propose a novel feature extraction method that combines the Flexible Analytic Wavelet Transform(FAWT)with Nonlinear Quantum Permutation Entropy.FAWT,leveraging fractional orders and arbitrary scaling and translation factors,exhibits superior translational invariance and adjustable fundamental oscillatory characteristics.This flexibility enables FAWT to provide well-suited wavelet shapes,effectively matching subtle fault components and avoiding performance degradation associated with fixed frequency partitioning and low-oscillation bases in detecting weak faults.In our approach,gearbox vibration signals undergo FAWT to obtain sub-bands.Quantum theory is then introduced into permutation entropy to propose Nonlinear Quantum Permutation Entropy,a feature that more accurately characterizes the operational state of vibration simulation signals.The nonlinear quantum permutation entropy extracted from sub-bands is utilized to characterize the operating state of rotating machinery.A comprehensive analysis of vibration signals from rolling bearings and gearboxes validates the feasibility of the proposed method.Comparative assessments with parameters derived from traditional permutation entropy,sample entropy,wavelet transform(WT),and empirical mode decomposition(EMD)underscore the superior effectiveness of this approach in fault detection and classification for rotating machinery.展开更多
The importance of unmanned aerial vehicle(UAV)obstacle avoidance algorithms lies in their ability to ensure flight safety and collision avoidance,thereby protecting people and property.We propose UAD-YOLOv8,a lightwei...The importance of unmanned aerial vehicle(UAV)obstacle avoidance algorithms lies in their ability to ensure flight safety and collision avoidance,thereby protecting people and property.We propose UAD-YOLOv8,a lightweight YOLOv8-based obstacle detection algorithm optimized for UAV obstacle avoidance.The algorithm enhances the detection capability for small and irregular obstacles by removing the P5 feature layer and introducing deformable convolution v2(DCNv2)to optimize the cross stage partial bottleneck with 2 convolutions and fusion(C2f)module.Additionally,it reduces the model’s parameter count and computational load by constructing the unite ghost and depth-wise separable convolution(UGDConv)series of lightweight convolutions and a lightweight detection head.Based on this,we designed a visual obstacle avoidance algorithm that can improve the obstacle avoidance performance of UAVs in different environments.In particular,we propose an adaptive distance detection algorithm based on obstacle attributes to solve the ranging problem for multiple types and irregular obstacles to further enhance the UAV’s obstacle avoidance capability.To verify the effectiveness of the algorithm,the UAV obstacle detection(UAD)dataset was created.The experimental results show that UAD-YOLOv8 improves mAP50 by 3.4%and reduces GFLOPs by 34.5%compared to YOLOv8n while reducing the number of parameters by 77.4%and the model size by 73%.These improvements significantly enhance the UAV’s obstacle avoidance performance in complex environments,demonstrating its wide range of applications.展开更多
Diabetes mellitus is an important chronic disease that affects the health of the population worldwide, causing a serious impact on patients’ quality of life and increasing the burden on the healthcare system. With th...Diabetes mellitus is an important chronic disease that affects the health of the population worldwide, causing a serious impact on patients’ quality of life and increasing the burden on the healthcare system. With the increasing number of diabetic patients, the traditional healthcare model is under tremendous pressure. In recent years, the nurse-led diabetes management model, as an innovative approach to nursing intervention, has gradually become an important part of comprehensive diabetes management. This article reviews the conceptual model, specific types of nurse-led diabetes management models, barriers faced by nurses during implementation, and corresponding strategies, with a view to providing a reference for the management of diabetic patients and the development of diabetes specialty nurses.展开更多
文摘High-Entropy Alloys(HEAs)exhibit significant potential across multiple domains due to their unique properties.However,conventional research methodologies face limitations in composition design,property prediction,and process optimization,characterized by low efficiency and high costs.The integration of Artificial Intelligence(AI)technologies has provided innovative solutions for HEAs research.This review presented a detailed overview of recent advancements in AI applications for structural modeling and mechanical property prediction of HEAs.Furthermore,it discussed the advantages of big data analytics in facilitating alloy composition design and screening,quality control,and defect prediction,as well as the construction and sharing of specialized material databases.The paper also addressed the existing challenges in current AI-driven HEAs research,including issues related to data quality,model interpretability,and cross-domain knowledge integration.Additionally,it proposed prospects for the synergistic development of AI-enhanced computational materials science and experimental validation systems.
基金financially supported by the National Natural Science Foundation of China(No.52475341)the Natural Science Foundation of Heilongjiang Province(No.JQ2022E004)。
文摘Given the limitations of traditional hot extrusion methods in improving the microstructure and mechanical properties of magnesium(Mg)alloys,this paper attempts to treat AZ31 Mg alloy billet by pre-upsetting continuous variable cross-section direct extrusion(U-CVCDE).The effects of dynamic recrystallization behavior and slip system activity on texture evolution and mechanical properties of CVCDE Mg alloys with different pre-upsetting amounts were systematically analyzed.The results indicate that the introduction of the pre-upsetting process promotes dynamic recrystallization during the CVCDE process.The recrystallization proportion shows a trend of first rising and then decreasing with the increase of the pre-upsetting amount.Among them,the proportion of recrystallization grains in the U2-CVCDE-formed structural parts is as high as 88.3%.The average grain sizes of U1-CVCDE,U2-CVCDE,and U3-CVCDE were 6.01μm,4.90μm,and10.45μm,respectively.In addition,following U-CVCDE,the pyramidal slip of each forming component consistently maintains a high level of activation and opening and dominates,making more grains deflect in the axial extrusion direction of C to varying degrees,which is conducive to the uniform distribution of stress in more grains during plastic deformation.The synergistic effect of dynamic recrystallization behavior and the high activity of the pyramidal slip system significantly weakened the(0001)basal texture strength,and the maximum basal texture strength showed a gradually decreasing trend,among which the base surface texture strength of U3-CVCDE formed parts was only 9.9.The U-CVCDE process is employed to achieve deep modification of Mg alloy,and excellent comprehensive mechanical properties are obtained;among them,the yield and tensile strength of U2-CVCDE are as high as 243.4 MPa and 317.5 MPa,respectively,and the elongation after breaking is up to 21.3%.This study introduces a practical new idea for investigating the extrusion forming technology of high-performance Mg alloys.
基金Supported by Binzhou Social Science Planning Project(25-SKGH-063)Shandong Agricultural Innovation Team Project(SDAIT-10-06,SDAIT-23-10).
文摘This paper systematically analyzed the development status of sheep industry in Lubei region,and comprehensively expounded the scale and distribution of key industries,breed resources and genetic characteristics,feeding management status,disease prevention and control and veterinary services,and sheep product processing and sales.The research shows that the sheep industry in Lubei region has formed a certain scale,but there are some problems such as intensified resource and environmental constraints,unreasonable industrial structure,insufficient scientific and technological innovation capacity and market competitiveness to be improved.In view of these problems,this paper put forward some countermeasures and suggestions to promote the high-quality development of the industry,including establishing forage and feed system,promoting the adjustment and optimization of industrial structure,strengthening scientific and technological innovation and talent cultivation and introduction,and enhancing brand influence and market competitiveness,providing useful reference for the sustainable development of sheep industry in Lubei region.
基金Supported by the Key R&D Projects of Hainan Province,No.ZDYF2022SHFZ295.
文摘BACKGROUND Schizophrenia(SZ),a chronic and widespread brain disorder,presents with complex etiology and pathogenesis that remain inadequately understood.Despite the absence of a universally recognized endophenotype,peripheral blood mononuclear cells(PBMCs)serve as a robust model for investigating intracellular alterations linked to SZ.AIM To preliminarily investigate potential pathogenic mechanisms and identify novel biomarkers for SZ.METHODS PBMCs from SZ patients were subjected to integrative transcriptomic and proteomic analyses to uncover differentially expressed genes(DEGs)and differentially expressed proteins while mapping putative disease-associated signaling pathways.Key findings were validated using western blot(WB)and real-time fluorescence quantitative PCR(RT-qPCR).RNAi-lentivirus was employed to transfect rat hippocampal CA1 neurons in vitro,with subsequent verification of target gene expression via RT-qPCR.The levels of neuronal conduction proteins,including calmodulin-dependent protein kinase II(caMKII),CREB,and BDNF,were assessed through WB.Apoptosis was quantified by flow cytometry,while cell proliferation and viability were evaluated using the Cell Counting Kit-8 assay.RESULTS The integration of transcriptomic and proteomic analyses identified 6079 co-expressed genes,among which 25 DEGs were significantly altered between the SZ group and healthy controls.Notably,haptoglobin(HP),lactotransferrin(LTF),and SERPING1 exhibited marked upregulation.KEGG pathway enrichment analysis implicated neuroactive ligand-receptor interaction pathways in disease pathogenesis.Clinical sample validation demonstrated elevated protein and mRNA levels of HP,LTF,and SERPING1 in the SZ group compared to controls.WB analysis of all clinical samples further corroborated the significant upregulation of SERPING1.In hippocampal CA1 neurons transfected with lentivirus,reduced SERPING1 expression was accompanied by increased levels of CaMKII,CREB,and BDNF,enhanced cell viability,and reduced apoptosis.CONCLUSION SERPING1 may suppress neural cell proliferation in SZ patients via modulation of the CaMKII-CREB-BDNF signaling pathway.
基金funded by the National Natural Science Foundation of China(No.22379052)Taishan Scholars of Shandong Province,China(No.tsqnz20221143)。
文摘The effects of synthesis conditions,especially the heating rate,on the reaction kinetics of Ni-rich cathodes were systematically studied.The growth rate of Ni-rich oxide increases continuously as the heating rate increases.Ab initio molecular dynamics simulations demonstrate that a high heating rate induces anabatic oscillations,indicating a decrease in thermodynamic stability and a tendency for the crystal surface to undergo reconstruction.The presence of an intermediate phase at the grain boundary amplifies atomic migration-induced interface fusion and consequently augments crystal growth kinetics.However,the excessively high heating rate aggravates the Li+/Ni2+mixing in the Ni-rich cathode.The single-crystal Ni-rich cathode exhibits enhanced structural/thermal stability but a decreased specific capacity and rate performance compared with its polycrystalline counterpart.
基金supported by the National Natural Science Foundation of China(Grant No 52401209,52192603,52275308)Fundamental Research Funds for the Central Universities(2023JG007)。
文摘This study systematically investigates the unusual tensile mechanical behavior of Mg-RE solid solution(SS)alloys,exhibiting anomalous tensile strengths(ATS)and an enhanced strain-hardening rate at high temperature.Both the peak ultimate tensile strength(UTS)and tensile yield strength(TYS)values occur at 150-200℃,which are 12-50%higher compared to those at room temperature(RT).Meanwhile,the strain-hardening rate increases with the temperature rising from RT to 200℃ during the plastic deformation process.The results reveal that the formation of stacking faults(SFs)and the locking of dislocations,particularly immobile (c) partial dislocations,enhance resistance to plastic deformation,leading to higher strengths at high temperature.Furthermore,the interactivity between SFs and (c+a) dislocations intensify with rising of temperature.The presence of RE atoms in the SS plays a critical role in this unique mechanical behavior,as they preferentially occupy non-basal planes rather than basal planes,thereby reducing the stacking fault(SF)formation energy.This study provides new insights into the high-temperature strengthening mechanisms of Mg-RE based alloys,offering potential guidance for the design of advanced lightweight materials with superior mechanical properties.
基金supported by the National Natural Science Foundation of China(Nos.22379052,22479062 and 52102252)Taishan Scholars of Shandong Province(No.tsqnz20221143)Independent Cultivation Program of Innovation Team of Ji’nan City(No.202333042).
文摘The unique oxygen stacking sequence of O2-type structures restricts the irreversible transition metal movement into Li vacancies for the delithiated Li-rich layered oxides(LLOs)and maintains outstanding voltage stability.However,the ion-exchange synthesis promotes the Mn-ion valence reduction and aggravates the Jahn-Teller(J-T)distortion alongside disproportionation.Since the main oxidation state of the Mn ions is+4 in the traditional O3-type LLOs,synergistic effects of the O2-type and O3-type structures are expected in the O2/O3 diphasic Li-rich material.Herein,O2/O3 biphasic intergrowth LLOs were rationally designed,and the synergic optimization of the biphasic structure was planned to retard the J-T effect.The O2/O3 intergrowth nature was confirmed,and the percentages of the O2 and O3 phases were 56%and 44%,respectively.Density functional theory calculations demonstrated that the Mn^(2+)(EC)sheath had a remarkably lower energy barrier than the Li^(+)(EC)sheath.This finding suggests that Mn^(2+)ions that are dissolved into the electrolyte accelerate the electrolyte oxidization,so the deposition of the cathode electrolyte interface for pristine O2-LLOs causes a high electrochemical impedance.The designed O2/O3 biphasic LLOs boost the capacity stability and suppress the voltage drop upon repeated Li^(+)de-intercalation.The phase regulation strategy offers great potential for developing low-cost LLOs with enhanced structural stability for advanced Li-ion batteries.
基金supported by the National Natural Science Foundation of China(No.22068031)Yunnan Precious Metals Laboratory Science and Technology Project(No.YPML-2022050237)+4 种基金Major Science and Technology Project of Yunnan Precious Metal Laboratory(No.YPML-2023050202)the Science and Technology Project of Xinjiang Bingtuan supported by Central Government(No.2022BC001)Tianshan Talents Training Program of Xinjiang Science and Technology Innovation Team(No.2022TSYCTD0021)the Start-Up Foundation for Young Scientists of Shihezi University(No.RCZK202419)the Project of Achievement Transformation and Technology Extension of Shihezi University(No.CGZH202302)。
文摘Introducing ligand into the surface of gold(Au)-based catalyst has been recognized as an efficient strategy to enhance the performance of catalyst in acetylene hydrochlorination reaction.However,due to the multifactorial deactivation,the usage of single type of ligand has limitations on the performance improvement.In this work,two types of ligands including a molecular 2-methylimidazole and an ionic cetrimonium are selected to protect Au^(n+)species.After kinetics analysis,advanced characterization,and density functional theory simulation,we demonstrate the optimal interaction model between two ligands and Au species:Two 2-methylimidazole molecules are coordinated with high-valent Au species while cetrimonium is interacted via electrostatic interaction.Except the synergistic effect in the decrease of Au species reduction and agglomeration,the existence of molecular ligand greatly increases the adsorption of hydrogen chloride while the ionic ligand significantly inhibits the deposition of coke.Due to the positive effect of dual-ligands,we achieved 97.1%of acetylene conversion and 0.29 h^(−1) of deactivation rate under high gas hourly space velocity of acetylene.This work establishes a foundation to explore the property-activity relationships in Au-based catalyst via ligand engineering.
文摘As a carrier to develop various marine resources, sea area is regulated as a kind of important resources through legislation by many coastal countries with a management system for the paid use of sea area. Since the early 1990s, China has begun to implement the paid use and formed an institutional system comprised of three levels after developing it for more than two decades. From 2002 to 2015, the Chinese Government transferred the use right of sea area of 33,910 km2 by paid use and levied a total of 75.89 billion CNY (11.328 billion US dollars) of sea area use payment. Apart from this, the Government has gained rich experience in operating and managing the compensable use of sea area. After retrospectively analyzing the development history of paid use of China’s sea area, the research presents an institutional structure and the implementation of the management system for the paid use of sea area and the main problems therein. On this basis, management policies and feasible policy suggestions are proposed. Research results from this study can provide available references for other developing countries and emerging economies to apply and improve native management system for the paid use of sea area.
基金financially supported by the International Cooperation Project of National Key Research and Development Program of China(No.2022YFE0126300)the National Science Foundation of Shanxi Province(Nos.202103021223175,202103021223197,202103021223204 and 20210302124097)+2 种基金the National Natural Science Foundation of China(Nos.21905239,22102157 and 52004051)the Fundamental Research Program of Shanxi Province(Nos.202303021211144 and 202303021221112)the Project of Zhongyuan Critical Metals Laboratory(No.GJJSGFYQ202321)。
文摘The diamond-wire sawing silicon waste(DWSSW)from the photovoltaic industry has been widely considered as a low-cost raw material for lithium-ion battery silicon-based electrode,but the effect mechanism of impurities presents in DWSSW on lithium storage performance is still not well understood;meanwhile,it is urgent to develop a strategy for changing DWSSW particles into high-performance electrode materials.In this work,the occurrence state of impurities presents in DWSSW was carefully analyzed using in situ Ar ion etching technology Then,the novel Si@C@SiO_(x)@PAl-NDC composite was designed through in situ encapsulation strategy.The obtained Si@C@SiO_(x)@PAl-NDC electrode shows a high first capacity of 2343.4 mAh·g^(-1)with an initial Coulombic efficiency(ICE)of 84.4%under current density of 1.0 A·g^(-1),and can deliver an impressive capacity of 984.9 mAh·g^(-1)after 200 cycles.Combined numerical simulation modeling calculations,the increase in proportion of Si^(4+)/Si^(0)and Si^(3+)/Si^(0)valence states in SiO_(x)layer leads to a decrease in von Mises stress,which ultimately improves the cycling structural stability.Meanwhile,the porous 2D-3D aluminum/nitrogen(Al/N)co-doped carbon layer and nanowires on SiO_(x)layer can provide abundant active sites for lithium storage due to its developed hierarchical pores structure,which facilitates ion transport What is more,the performance of Si@C@SiO_(x)@PAl-NDC//LiFePO_(4)full cell shows its great potential in practical application.
基金the financial support from the National Natural Science Foundation of China(51972156,52072378,52102054 and 51927803)the National Key R&D Program of China(2022YFB3803400,2021YFB3800301)+2 种基金the Shenyang Science and Technology Program(22-322-3-19)the Youth Fund of the Education Department of Liaoning Province(LJKQZ20222324)the Outstanding Youth Fund of University of Science and Technology Liaoning(2023YQ11).
文摘Ni-rich layered oxide cathodes have shown promise for high-energy lithium-ion batteries(LIBs)but are usually limited to mild environments because of their rapid performance degradation under extreme temperature conditions(below0°C and above 50 °C).Here,we report the design of F/Mo co-doped LiNi_(0.8)Co_(0.1)Mn_(0.1)O_(2)(FMNCM)cathode for high-performance LIBs from-20 to 60°C.F^(-) doping with high electronegativity into the cathode surface is found to enhance the stability of surface lattice structure and protect the interface from side reactions with the electrolyte by generating a LiF-rich surface layer.Concurrently,the Mo^(6+) doping suppresses phase transition,which blocks Li^(+)/Ni^(2+) mixing,and stabilizes lithium-ion diffusion pathway.Remarkably,the FMNCM cathode demonstrates excellent cycling stability at a high cutoff voltage of 4.4 V,even at 60°C,maintaining 90.6%capacity retention at 3 C after 150 cycles.Additionally,at temperatures as low as-20°C,it retains 77.1%of its room temperature capacity,achieving an impressive 97.5%capacity retention after 500 cycles.Such stable operation under wide temperatures has been further validated in practical Ah-level pouch-cells.This study sheds light on both fundamental mechanisms and practical implications for the design of advanced cathode materials for wide-temperature LIBs,presenting a promising path towards high-energy and long-cycling LIBs with temperatureadaptability.
基金supported financially by FundamentalResearch Program of Shanxi Province(No.202103021223056).
文摘Addressing the challenges posed by the nonlinear and non-stationary vibrations in rotating machinery,where weak fault characteristic signals hinder accurate fault state representation,we propose a novel feature extraction method that combines the Flexible Analytic Wavelet Transform(FAWT)with Nonlinear Quantum Permutation Entropy.FAWT,leveraging fractional orders and arbitrary scaling and translation factors,exhibits superior translational invariance and adjustable fundamental oscillatory characteristics.This flexibility enables FAWT to provide well-suited wavelet shapes,effectively matching subtle fault components and avoiding performance degradation associated with fixed frequency partitioning and low-oscillation bases in detecting weak faults.In our approach,gearbox vibration signals undergo FAWT to obtain sub-bands.Quantum theory is then introduced into permutation entropy to propose Nonlinear Quantum Permutation Entropy,a feature that more accurately characterizes the operational state of vibration simulation signals.The nonlinear quantum permutation entropy extracted from sub-bands is utilized to characterize the operating state of rotating machinery.A comprehensive analysis of vibration signals from rolling bearings and gearboxes validates the feasibility of the proposed method.Comparative assessments with parameters derived from traditional permutation entropy,sample entropy,wavelet transform(WT),and empirical mode decomposition(EMD)underscore the superior effectiveness of this approach in fault detection and classification for rotating machinery.
基金supported by Xinjiang Uygur Autonomous Region Metrology and Testing Institute Project(Grant No.XJRIMT2022-5)Tianshan Talent Training Project-Xinjiang Science and Technology Innovation Team Program(2023TSYCTD0012).
文摘The importance of unmanned aerial vehicle(UAV)obstacle avoidance algorithms lies in their ability to ensure flight safety and collision avoidance,thereby protecting people and property.We propose UAD-YOLOv8,a lightweight YOLOv8-based obstacle detection algorithm optimized for UAV obstacle avoidance.The algorithm enhances the detection capability for small and irregular obstacles by removing the P5 feature layer and introducing deformable convolution v2(DCNv2)to optimize the cross stage partial bottleneck with 2 convolutions and fusion(C2f)module.Additionally,it reduces the model’s parameter count and computational load by constructing the unite ghost and depth-wise separable convolution(UGDConv)series of lightweight convolutions and a lightweight detection head.Based on this,we designed a visual obstacle avoidance algorithm that can improve the obstacle avoidance performance of UAVs in different environments.In particular,we propose an adaptive distance detection algorithm based on obstacle attributes to solve the ranging problem for multiple types and irregular obstacles to further enhance the UAV’s obstacle avoidance capability.To verify the effectiveness of the algorithm,the UAV obstacle detection(UAD)dataset was created.The experimental results show that UAD-YOLOv8 improves mAP50 by 3.4%and reduces GFLOPs by 34.5%compared to YOLOv8n while reducing the number of parameters by 77.4%and the model size by 73%.These improvements significantly enhance the UAV’s obstacle avoidance performance in complex environments,demonstrating its wide range of applications.
文摘Diabetes mellitus is an important chronic disease that affects the health of the population worldwide, causing a serious impact on patients’ quality of life and increasing the burden on the healthcare system. With the increasing number of diabetic patients, the traditional healthcare model is under tremendous pressure. In recent years, the nurse-led diabetes management model, as an innovative approach to nursing intervention, has gradually become an important part of comprehensive diabetes management. This article reviews the conceptual model, specific types of nurse-led diabetes management models, barriers faced by nurses during implementation, and corresponding strategies, with a view to providing a reference for the management of diabetic patients and the development of diabetes specialty nurses.
