A direct numerical simulation framework was established to investigate droplet collision in a gas medium in this study.This problem is a multiscale problem owing to the intervening gas film flow that spans from a cont...A direct numerical simulation framework was established to investigate droplet collision in a gas medium in this study.This problem is a multiscale problem owing to the intervening gas film flow that spans from a continuous flow regime to free molecular flow regime.A dual-volume of fluid numerical method was employed,incorporating rarefied gas effects,van der Waals forces,and an adaptive mesh refinement algorithm with an improved gas film thickness calculation method.The emphasis of the investigation is the size ratio effects on the gas film drainage and the transition of collision outcomes.Besides the well-known fact that coalescence is promoted by increasing the size ratio,a trend of suppressed coalescence was observed as the size ratio increased to a certain value.As the size ratio increases,gas film length increases moderately while drainage velocity rises more rapidly,reducing drainage time and promoting coalescence.With further increases in size ratio,the gas film length continues to increase,while the drainage velocity increase becomes more gradual,resulting in a longer drainage time and therefore a suppressed coalescence.展开更多
Soil moisture content(SMC)plays a vital role in agricultural productivity,water resource management,and ecosystem sustainability in semi-arid regions.Despite this importance,most existing machine learning models mainl...Soil moisture content(SMC)plays a vital role in agricultural productivity,water resource management,and ecosystem sustainability in semi-arid regions.Despite this importance,most existing machine learning models mainly rely on remote sensing data to predict the soil moisture variation in the surface soil;however,they are constrained by redundant input features and limited interpretability.To address these shortcomings,this study combines the Random Forest(RF)algorithm,Convolutional Neural Networks(CNN),and the Transformer framework to develop a hybrid RF-CNN-Transformer model.Specifically,the RF algorithm,CNN,and Transformer framework are respectively used for selecting influential features,extracting spatial patterns,and capturing long-term temporal dependencies.Applied to the Mu Us Sandy Land using data from six soil depths(5,10,20,40,70,and 87 cm),the model demonstrated high prediction accuracy and training efficiency across all layers compared to baseline models,with R2 values ranging from 0.8586 to 0.984(mean R2=0.9507).Interpretability analysis revealed a shift in the controlling mechanisms of soil moisture:shallow-layer SMC is jointly influenced by meteorological conditions and groundwater level,whereas groundwater becomes the dominant factor in deeper layers.Notably,due to the extremely dry climate,precipitation has a relatively minor impact on soil moisture dynamics across all depths.Overall,the proposed RF-CNN-Transformer model enhances both the predictive capability and interpretability of soil moisture variation,supporting precision irrigation and water resource optimization in agriculture,especially in arid and semi-arid regions.展开更多
With the widespread use of social media,the propagation of health-related rumors has become a significant public health threat.Existing methods for detecting health rumors predominantly rely on external knowledge or p...With the widespread use of social media,the propagation of health-related rumors has become a significant public health threat.Existing methods for detecting health rumors predominantly rely on external knowledge or propagation structures,with only a few recent approaches attempting causal inference;however,these have not yet effectively integrated causal discovery with domain-specific knowledge graphs for detecting health rumors.In this study,we found that the combined use of causal discovery and domain-specific knowledge graphs can effectively identify implicit pseudo-causal logic embedded within texts,holding significant potential for health rumor detection.To this end,we propose CKDG—a dual-graph fusion framework based on causal logic and medical knowledge graphs.CKDG constructs a weighted causal graph to capture the implicit causal relationships in the text and introduces a medical knowledge graph to verify semantic consistency,thereby enhancing the ability to identify the misuse of professional terminology and pseudoscientific claims.In experiments conducted on a dataset comprising 8430 health rumors,CKDG achieved an accuracy of 91.28%and an F1 score of 90.38%,representing improvements of 5.11%and 3.29%over the best baseline,respectively.Our results indicate that the integrated use of causal discovery and domainspecific knowledge graphs offers significant advantages for health rumor detection systems.This method not only improves detection performance but also enhances the transparency and credibility of model decisions by tracing causal chains and sources of knowledge conflicts.We anticipate that this work will provide key technological support for the development of trustworthy health-information filtering systems,thereby improving the reliability of public health information on social media.展开更多
The lanthanum-cerium-based slurry(LC-slurry)is extensively utilized in the chemical mechanical polishing(CMP)of TFT-LCD glass substrates,optical lenses,and other glass products.Sodium hexametaphosphate(SHMP),as a disp...The lanthanum-cerium-based slurry(LC-slurry)is extensively utilized in the chemical mechanical polishing(CMP)of TFT-LCD glass substrates,optical lenses,and other glass products.Sodium hexametaphosphate(SHMP),as a dispersant,is commonly employed to enhance the dispersion properties of LCslurry for improved polishing performance.However,the tendency of sedimentation to form a compacted sediment layer,which is challenging to redisperse,increases storage difficulty and polishing equipment failure risk,thereby limiting its utilization in CMP.In the present study,sodium carboxymethylcellulose(CMC-Na),a long-chain organic polymer,was employed to enhance the redispersibility of LC-slurry containing SHMP.A comprehensive investigation was conducted on the influence of CMC-Na dosage and slurry pH on dispersibility,redispersibility and polishing performance.Additionally,an analysis was carried out to elucidate the underlying mechanism behind the effect of CMC-Na.The study demonstrates that the LC-slurry,containing 250 ppm SHMP and 500 ppm CMC-Na,exhibits excellent dispersibility and redispersibility.Further polishing tests demonstrate that compared to the LC-slurry containing only SHMP,utilizing the slurry containing both SHMP and CMC-Na at various pH for polishing thin film transistor liquid crystal display(TFT-LCD)glass substrates results in a reduction of both material removal rate(MRR)and surface roughness(Sa).Specifically,when adjusting the slurry to a pH range of 5-6,the MRR can reach up to 330 nm/min,which closely approximates the MRR achieved by LC-slurry containing only 250 ppm SHMP at corresponding pH values.Meanwhile,after polishing,the surface roughness of the glass substrate measures approximately 0.47 nm.展开更多
This study investigated environmental distribution and human exposure of polycyclic aromatic hydrocarbons(PAHs)and their derivatives in one Chinese petroleum refinery facility.It was found that,following with high con...This study investigated environmental distribution and human exposure of polycyclic aromatic hydrocarbons(PAHs)and their derivatives in one Chinese petroleum refinery facility.It was found that,following with high concentrations of 16 EPA PAHs(∑Parent-PAHs)in smelting subarea of studied petroleum refinery facility,total derivatives of PAHs[named as XPAHs,including nitro PAHs(NPAHs),chlorinated PAHs(Cl-PAHs),and brominated PAHs(Br-PAHs)]in gas(mean=1.57×104ng/m3),total suspended particulate(TSP)(mean=4.33×103 ng/m3)and soil(mean=4.37×103 ng/g)in this subarea had 1.76-6.19 times higher levels than those from other subareas of this facility,surrounding residential areas and reference areas,indicating that petroleum refining processes would lead apparent derivation of PAHs.Especially,compared with those in residential and reference areas,gas samples in the petrochemical areas had higher∑NPAH/∑PAHs(mean=2.18),but lower∑Cl-PAH/∑PAHs(mean=1.43×10-1)and∑Br-PAH/∑PAHs ratios(mean=7.49×10-2),indicating the richer nitrification of PAHs than chlorination during petrochemical process.The occupational exposure to PAHs and XPAHs in this petroleum refinery facility were 24-343 times higher than non-occupational exposure,and the ILCR(1.04×10-4)for petrochemical workers was considered to be potential high risk.Furthermore,one expanded high-resolution screening through GC Orbitrap/MS was performed for soils from petrochemical area,and another 35 PAHs were found,including alkyl-PAHs,phenyl-PAHs and other species,indicat-ing that profiles and risks of PAHs analogs in petrochemical areas deserve further expanded investigation.展开更多
The Ga-doped Li7La3Zr2O12(Ga-LLZO) system currently exhibits the highest ionic conductivity among garnet-type solid-state electrolytes and faces persistent challenges including pore formation—arising from...The Ga-doped Li7La3Zr2O12(Ga-LLZO) system currently exhibits the highest ionic conductivity among garnet-type solid-state electrolytes and faces persistent challenges including pore formation—arising from high-temperature disproportionation reactions and elevated sintering activity—as well as lithium filament growth and short-circuit failure at pores and grain boundaries.Effectively addressing these issues while retaining high ionic conductivity remains a major obstacle.In this study,Ce was introduced into the Ga-LLZO lattice via an in situ tuning strategy,which significantly reduced internal pore retention and suppressed the reduction of migrating Li+into dead lithium.The optimized Ce in situ tuning controlled Ga-LLZO achieved an ionic conductivity exceeding 1 mS cm-1 at 25℃,while the critical current density(CCD) in lithium symmetric cells reached 0.7 mA cm-2—twice that of unmodified Ga-LLZO.Remarkably,no shortcircuiting occurred even after 2700 h of cycling at 0.3 mA cm-2,in contrast to the unmodified Ga-LLZO,which failed after only 50 h.The corresponding full cells also demonstrated excellent cycling stability and ultra-high capacity retention,significantly outperforming unmodified Ga-LLZO.Compared with recent electrolyte modification strategies,the Ce in situ tuning controlled Ga-LLZO delivers outstanding overall performance.Moreover,it holds strong potential for synergistic integration with other advanced modification techniques,offering broad prospects for further development and practical implementation in next-generation all-solid-state batteries(ASSBs).展开更多
In the global trend of vigorously developing hydrogen energy,proton-conducting solid oxide electrolysis cells(P-SOECs)have attracted significant attention due to their advantages of high efficiency and not requiring p...In the global trend of vigorously developing hydrogen energy,proton-conducting solid oxide electrolysis cells(P-SOECs)have attracted significant attention due to their advantages of high efficiency and not requiring precious metals.However,the application of P-SOECs faces challenges,particularly in developing high-performance anodes possessing both high catalytic activity and ionic conductivity.In this study,La0.9Ba0.1Co0.7Ni0.3O3−δ(LBCN9173)and La0.9Ba0.1Co0.7Ni0.3O3−δ(LCCN9173)oxides are tailored as promising anodes by machine learning model,achieving the synergistic enhancement of water oxidation reaction kinetics and proton conduction,which is confirmed by comprehensively analyzing experiment and density functional theory calculation results.Furthermore,the anodic reaction mechanisms for P-SOECs with these anodes are elucidated by analyzing distribution of relaxation time spectra and Gibbs energy of water oxidation reaction,manifesting that the dissociation of H2O is facilitated on LBCN9173 anode.As a result,P-SOEC with LBCN9173 anode demonstrates a top-rank current density of 2.45 A cm−2at 1.3 V and an extremely low polarization resistance of 0.05Ωcm2at 650°C.This multi-scale,multi-faceted research approach not only discovered a high-performance anode but also proved the robust framework for the machine learning-assisted design of anodes for P-SOECs.展开更多
Policy training against diverse opponents remains a challenge when using Multi-Agent Reinforcement Learning(MARL)in multiple Unmanned Combat Aerial Vehicle(UCAV)air combat scenarios.In view of this,this paper proposes...Policy training against diverse opponents remains a challenge when using Multi-Agent Reinforcement Learning(MARL)in multiple Unmanned Combat Aerial Vehicle(UCAV)air combat scenarios.In view of this,this paper proposes a novel Dominant and Non-dominant strategy sample selection(DoNot)mechanism and a Local Observation Enhanced Multi-Agent Proximal Policy Optimization(LOE-MAPPO)algorithm to train the multi-UCAV air combat policy and improve its generalization.Specifically,the LOE-MAPPO algorithm adopts a mixed state that concatenates the global state and individual agent's local observation to enable efficient value function learning in multi-UCAV air combat.The DoNot mechanism classifies opponents into dominant or non-dominant strategy opponents,and samples from easier to more challenging opponents to form an adaptive training curriculum.Empirical results demonstrate that the proposed LOE-MAPPO algorithm outperforms baseline MARL algorithms in multi-UCAV air combat scenarios,and the DoNot mechanism leads to stronger policy generalization when facing diverse opponents.The results pave the way for the fast generation of cooperative strategies for air combat agents with MARLalgorithms.展开更多
Submerged Abrasive Waterjet Peening(SAWJP)shows great application potential in augmenting the fatigue properties of metallic parts.Thus,the present work aims to investigate the influence of SAWJP on the Surface Integr...Submerged Abrasive Waterjet Peening(SAWJP)shows great application potential in augmenting the fatigue properties of metallic parts.Thus,the present work aims to investigate the influence of SAWJP on the Surface Integrity(SI)and Fretting Fatigue(FF)properties of Inconel 718(IN718)superalloy and illustrate the microstructural evolution,FF life improvement,and fretting wear mechanism.First,the SI of the IN718 specimen was examined following treatment via SAWJP.Results showed that the specimen subjected to SAWJP formed a total plastic deformation layer of 56μm.The maximum microhardness and Compressive Residual Stress(CRS)measured across the depth of the SAWJP-treated specimens exhibited an increase in values ranging between 522 HV and 541 HV and 1171–1380 MPa,respectively.The FF test results of the specimen before and after SAWJP treatment at ambient temperatures indicated that the FF life of the SAWJP-treated specimen surpassed that of the as-received specimen by a factor of 2.81.The examination of the FF fracture,contact surface,and crack propagation behavior revealed the crucial factors contributing to the enhanced FF resistance of the IN718 specimen,including the gradient nanostructure characterized by ultra-refined grains,substantial CRS,and elevated microhardness,which were all induced by the SAWJP treatment.展开更多
1.Introduction Soil is the foundation of agriculture and of life itself[1],and fertile soil gives birth to crops with rich nutrients.Crops have significant species-specific demands for soil nutrients,including nitroge...1.Introduction Soil is the foundation of agriculture and of life itself[1],and fertile soil gives birth to crops with rich nutrients.Crops have significant species-specific demands for soil nutrients,including nitrogen(N),phosphorus(P),potassium(K),trace elements,and so forth.Differences in crop nutrient needs are mainly due to the physiological characteristics of the development of different organs and the diversity of metabolic pathways.For example,leafy crops(spinach,lettuce,etc.)require more N for stem and leaf growth,while fruit crops(tomatoes,peppers,soybeans,etc.)rely on more P and K to facilitate the formation of organs such as seeds and fruits.Cereal crops(corn,wheat,etc.)have a prominent demand for N and silicon(Si),which are used for protein synthesis and to increase stem strength,while fruit trees are sensitive to trace elements such as calcium(Ca)and magnesium(Mg),which are used to stabilize cell walls and promote photosynthesis.展开更多
Ozone catalytic oxidation(OCO)is a promising technology for controlling malodorous pollution,effectively removing low-concentration oxygenated volatile organic compounds(OVOCs)at low temperatures.However,the catalytic...Ozone catalytic oxidation(OCO)is a promising technology for controlling malodorous pollution,effectively removing low-concentration oxygenated volatile organic compounds(OVOCs)at low temperatures.However,the catalytic performance of manganese oxides remains constrained by insufficient reactive oxygen species(ROS)and high humidity,particularly at low temperatures.To address this,a series of MMnO2catalysts were successfully prepared by introducing highly dispersed transition metals(M=Fe,Ce,Mo)into MnO2via an in-situ hydrothermal method,aiming to improve low-temperature performance.Among these catalysts,the FeMnO2catalyst exhibited the highest catalytic performance,achieving 100%conversion of 30 ppm ethyl acetate(EA)and a 92.78%mineralization rate at 70℃,along with exceptional stability and water resistance(12.8 vol.%).In situ characterization techniques have demonstrated that the introduction of Fe significantly weakens the Mn-O bond in MnO2.The formation of abundant oxygen vacancies facilitates the adsorption and activation of O3.Both 1O2and·O2-species serve as crucial ROS,promoting the effective mineralization of EA on the catalyst surface and reducing the generation of reaction intermediates.This study provides a significant foundation for the further development of catalysts targeting low-concentration OVOCs and for enhancing the practical low-temperature catalytic activity of transition metal oxides.展开更多
Ferroelectricity,typically arising from ionic displacements in noncentrosymmetric lattices,enables applications in memory devices and sensors.Recent advances in two-dimensional materials and van der Waals heterostruct...Ferroelectricity,typically arising from ionic displacements in noncentrosymmetric lattices,enables applications in memory devices and sensors.Recent advances in two-dimensional materials and van der Waals heterostructures have revealed novel ferroelectric phenome-na,including sliding ferroelectricity and correlation-driven ferroelectricity in moirésuperlattices.In this work,we fabricate and study a MoS2/WSe2 moirésuperlattice device exhibiting a high field-effect mobility of 17650 cm2·V−1·s−1.Electrical transport measurements reveal correlated insulating states accompanied by a prominent and reproducible resistance hysteresis near half-filling.Temperature and displacement field dependence further confirms the correlation-enhanced nature of the hysteresis.Our analysis suggests that displace-ment field-induced metal-to-insulator transition at correlated insulating state coupled with interfacial dipoles enables the observed resistance hysteresis.These results establish correlation enhanced resistance hysteresis near half-filling in a MoS2/WSe2 heterobilayer,offering opportunities for exploring emergent quantum phases and device functionalities.展开更多
Deep learning(DL)methods,particularly those that combine camera and light detection and ranging(LiDAR)data,have demonstrated remarkable accuracy in three-dimensional(3D)obstacle detection.This is crucial for achieving...Deep learning(DL)methods,particularly those that combine camera and light detection and ranging(LiDAR)data,have demonstrated remarkable accuracy in three-dimensional(3D)obstacle detection.This is crucial for achieving rigorous and reliable autonomous navigation of agricultural machinery.However,recent approaches heavily rely on large-scale labeled datasets during training,which creates challenges for their application in agriculture because of presence of scarce and distinct agricultural samples.To overcome this limitatio n,this paper proposes a novel 3D detection method for agricultural obstacles with few or zero samples based on a multimodal feature representation mechanism.Image and point cloud attitude adjusters are integrated to increase the accuracy,reliability,and uniformity of multimodal data.Semantic and geometry-intensity feature encoders are integrated to capture essential relationships among categories.The Bird's Eye View(BEV)fusion decoder is designed to discern intracategory similarities and intercategory distinctions.Multicategory experiments in various field scenarios reveal that the proposed method reduces the dependence on training samples by 30%-40%,and the precision rate,recall rate,F1 score,and detection speed are 95.03%,97.01%,96.01%,and 16.56 frames per second(FPS),respectively.Even in completely unknown scenarios(i.e.,obstacle categories that lack any corresponding training samples),the proposed method still achieves an acceptable F1 score of 81.63%.As indicated by the results,the proposed method achieves a sophisticated trade-off among detection performance,operational efficiency,and data dependency,providing an effective safety guarantee for the autonomous navigation of agricultural machinery.展开更多
Uranium extraction from seawater is a promising strategy to alleviate global uranium scarcity,yet its implementation is hindered by extremely low concentrations and complex ionic environments.Concentrated seawater bri...Uranium extraction from seawater is a promising strategy to alleviate global uranium scarcity,yet its implementation is hindered by extremely low concentrations and complex ionic environments.Concentrated seawater brine,a byproduct of salt production and desalination,contains 2-10 times more uranium than natural seawater,yet its high salinity presents additional challenges for extraction.Conventional polyamidoxime(PAO)hydrogels exhibit salt-induced shrinkage,compromising functional group accessibility and adsorption efficiency.Herein,we develop an anti-polyelectrolyte effect hydrogel by composing polyvinylphosphonic acid(PVPA)and the PAO.Under high-salinity conditions,cations and anions accumulate via diffusion around the positively charged amidoxime and negatively charged phosphonic acid groups,weakening interchain electrostatic attractions.This anti-polyelectrolyte effect promotes hydrogel swelling,significantly improving the exposure of binding sites and uranyl ion uptake.The PVPA-PAO hydrogel achieves a uranium adsorption capacity of 43.89 mg·g-1 after 24 days in concentrated natural seawater derived from solar saltworks,significantly surpassing that of previously reported PAO hydrogels(~10 mg·g-1).In addition,it exhibits excellent antibacterial performance,mechanical robustness,and ion selectivity.This work presents an effective strategy for improving uranium recovery from marine resources and advances the comprehensive development and utilization of seawater resources.展开更多
Developing efficient electrocatalysts for the urea oxidation reaction(UOR)is a promising strategy for purifying urea-laden wastewater and promoting energy-efficient hydrogen production.However,the strong binding of th...Developing efficient electrocatalysts for the urea oxidation reaction(UOR)is a promising strategy for purifying urea-laden wastewater and promoting energy-efficient hydrogen production.However,the strong binding of the hydroxyl group to Fe sites in the NiFe layered double hydroxide(NiFe-LDH)impedes the generation of active Ni3+-O,thus raising the onset potential of UOR.Moreover,identifying and tracking the active sites in NiFe-LDH at the molecular level remains a considerable challenge during the UOR process.Herein,we modified NiFe-LDH by incorporating the low-electronegativity S element to create S-NiFe-LDH,thereby optimizing the electron structure and facilitating the transfer of active sites from Ni2+and Fe3+in the original NiFe-LDH to high-valence Ni intermediates in S-NiFe-LDH at a low applied potential.Moreover,the incorporation of S into NiFe-LDH significantly reduces the thermodynamic barrier of the Ni active sites,advancing the intrinsic activity and kinetic process of the active sites for the decomposition of urea by facilitating the Ni3+-O formation because of the facile dehydrogenation steps at the Ni sites.As a result,the S-NiFe-LDH achieved excellent electrochemical UOR activity,with a low potential of 1.36 V and long-term durability at 100 mA cm-2,demonstrating promising prospects for practical application.Overall,this work unscrambles the immediate active sites during electrocatalysis and paves a new avenue for the electronic engineering of NiFe-based catalysts in the UOR process.展开更多
The transient phenomena of re-oxidation and slag entrapment occurring in the tundish during the ladle change-over process have been proven detrimental to clean steel production.Therefore,an unsteady three-phase turbul...The transient phenomena of re-oxidation and slag entrapment occurring in the tundish during the ladle change-over process have been proven detrimental to clean steel production.Therefore,an unsteady three-phase turbulence model,coupling velocity,temperature,and phase field was established to study the effect of the ladle shroud immersion depth on the slag eye formation,slag entrainment,slag dragging,air dragging,and flow characteristics during the ladle change-over process of a two-strand tundish.The results showed that reducing the immersion depth decreases the high-velocity region area under the slag layer in the quasi-steady process.During the emptying stage,as the molten bath level gradually decreases,the outlet temperature exhibits a trend of initially decreasing and subsequently increasing across all three shroud immersion depths.However,under a 210 mm shroud immersion depth,molten slag and air are dragged into the shroud,forming slag droplets and causing significant fluctuations,with a maximum scalar velocity of 0.0764 m/s at the monitoring point.In the filling stage,air and molten slag are dragged into the molten bath,forming bubbles and slag droplets at an immersion depth of 210 mm.Bubbles are observed within the molten slag layer,which can readily cause an emulsification phenomenon,making it easier to be dragged as slag droplets.Additionally,the slag eye area measured under 210 mm immersion depth at 45 s is 0.303 m2,while the maximum scalar velocity of 2.4259 m/s is detected at 12 s.At an immersion depth of 360 mm,the average area of the slag eye is minimized to 0.06268 m2,with corresponding variances of 0.006753,representing the optimal immersion depth.展开更多
A major challenge in garnet-type Li7La3Zr2O12(LLZO) system all-solid-state electrolytes is the high porosity that typically remains after sintering,which compromises ionic conductivity and degrades battery...A major challenge in garnet-type Li7La3Zr2O12(LLZO) system all-solid-state electrolytes is the high porosity that typically remains after sintering,which compromises ionic conductivity and degrades battery cycling performance.To address this,we propose an innovative strategy to achieve uniform lithium enrichment on the surface of electrolyte powder particles by controlling the calcination atmosphere.The resulting garnet-type solid-state electrolyte powder features a thin,uniform Li2O-based lithium-rich coating layer that effectively eliminates sintering-induced porosity without introducing impurities(or the second phase) while simultaneously promoting grain fusion and moderate structural amorphization.This synergistic function enhances both ionic conductivity and resistance to lithium filament growth.At 25℃,the Ta-doped LLZO(Ta-LLZO) exhibits an ionic conductivity of 1.12 × 10-3 S cm-1 and supports a critical current density of 1.4 mA cm-2 in symmetric lithium cells.The assembled Li/Ta-LLZO/NCM811 all-solid-state battery achieves a discharge capacity of 163.5 mAh g-1 with 91.4% capacity retention over 120 cycles at 0.3C,along with excellent rate performance.These results significantly outperform those of garnet electrolytes lacking surface treatment or exhibiting nonuniform lithium deposition.This scalable and controllable in situ surface engineering approach effectively addresses the long-standing challenges of porosity and interracial properties in garnet electrolytes,offering a promising pathway toward the commercial deployment of advanced solid-state batteries.展开更多
Natural polymers possess the qualities of abundant resources,low cost,as well as excellent biocompatibility and biodegradability,and are ideal materials for next-generation wearable and portable electronic devices.To ...Natural polymers possess the qualities of abundant resources,low cost,as well as excellent biocompatibility and biodegradability,and are ideal materials for next-generation wearable and portable electronic devices.To further augment the application scope of natural polymer materials,integrating them with functional materials represents a promising approach that is of great value for the sustainable development of triboelectric nanogenerators.Here,we successfully synthesized starch-[CsPbBr3-KBr]-Fe3O4composite films through the combination of natural polymer materials with magnetic and fluorescent components.It is capable of achieving reversible hydrochromic conversion by exposing or removing water.The combination of fluorescent CsPbBr3-KBr,magnetic Fe3O4,and waterproof starch-[CsPbBr3-KBr]-Fe3O4-Polydimethylsiloxane leads to the realization of fluorescence and magnetic composite anti-counterfeiting.This composite anti-counterfeiting technology presents a novel and highly effective approach for ensuring the authenticity and security of various types of information.In addition,the Composite film based triboelectric nanogenerator has been assembled,which has a stable output with a short circuit current and open-circuit voltage of 15.1μA and 170.1 V,respectively.The triboelectric nanogenerator can light 204 red LED lights at the same time,and the electrical output is not reduced even after 4200 mechanical cycles.Furthermore,based on the triboelectric nanogenerator,we have successfully demonstrated a self-powered sensor that can monitor human movement signals in real time.The sensor has shown broad application prospects in the field of health monitoring and motion analysis.展开更多
A 1:4 water model experimental platform was established based on a 135 t dual-plug bottom-blowing ladle.The plugs used were of a porous-type and two slot types(slot Ⅰ and slot Ⅱ).Bubble distribution,mixing time,and ...A 1:4 water model experimental platform was established based on a 135 t dual-plug bottom-blowing ladle.The plugs used were of a porous-type and two slot types(slot Ⅰ and slot Ⅱ).Bubble distribution,mixing time,and slag eye in the ladle’s multiphase system under various clogging ratios were investigation.Solutions were proposed to mitigate the negative impact of clogging on refining efficiency.The results indicate that the clogging of plugs significantly affects both the number and diameter distribution of bubbles,with the porous-type plug being the most affected.When the clogging percentage reaches 3/4,the maximum bubble diameter in the porous-type plug group is significantly larger than that in the slot-type plug group,and a large number of small-diameter bubbles are produced due to fragmentation.When there is no clogging,the slot Ⅰ plug group shows the shortest mixing time,while the slot Ⅱ plug group has the longest.After clogging,increasing the flow rate by 50 L/h can counteract the negative impact on mixing time in the porous-type and slot Ⅰ plug groups,while a larger increase is required for the slot Ⅱ plug group.The slag eye area decreases as the clogging percentage increases.When the clogging percentage reaches 3/4,the slag eye area for the porous,slot I,and slot Ⅱ plugs decreases by approximately 24%,14%,and 17%,respectively,and the fluctuation in the slag eye area increases significantly.This can be used as an indicator to assess the degree of clogging.展开更多
Mitochondrial genomes(mitogenomes)play a crucial role in species adaptation to diverse evolutionary pressures.Although adaptive changes in mitochondrial genes have been reported under extreme conditions,large-scale an...Mitochondrial genomes(mitogenomes)play a crucial role in species adaptation to diverse evolutionary pressures.Although adaptive changes in mitochondrial genes have been reported under extreme conditions,large-scale analyses of mitogenomic evolution across ecologically diverse habitats are still limited.The Eurasian tree sparrow(Passer montanus),one of the most widely distributed avian species,occupies variable habitats,providing an ideal model for investigating mitochondrial responses to environmental heterogeneity.This study examined mitogenomic variation in tree sparrow populations sampled across China,revealing pronounced mitochondrial divergence in geographically isolated populations,particularly those in southern Xizang on the QinghaiXizang Plateau and the continental islands of Hainan and Taiwan.In the high-altitude population of southern Xizang,non-synonymous substitutions in COX2 and COX3 may enhance protein stability,potentially facilitating adaptation to cold and hypoxic conditions.In contrast,substitutions in ATP6(Hainan)and ND5(Taiwan)may reduce protein stability,implying distinct mitogenomic responses to local environmental constraints.Moreover,distinct t RNA mutations in the Hainan populations may confer increased structural flexibility,potentially contributing to islandspecific adaptation.These findings highlight the role of mitochondrial genomes in responding to ecological variation and geographic barriers,underscoring the prospective functional consequences of mitogenomic evolution.展开更多
基金supported by the National Natural Science Foundation of China(Grant Nos.51806013 and 52176134)supported by the Research Grants Council of the Hong Kong Special Administrative Region,China(Grant Nos.CityU 15222421 and CityU 15218820).
摘要A direct numerical simulation framework was established to investigate droplet collision in a gas medium in this study.This problem is a multiscale problem owing to the intervening gas film flow that spans from a continuous flow regime to free molecular flow regime.A dual-volume of fluid numerical method was employed,incorporating rarefied gas effects,van der Waals forces,and an adaptive mesh refinement algorithm with an improved gas film thickness calculation method.The emphasis of the investigation is the size ratio effects on the gas film drainage and the transition of collision outcomes.Besides the well-known fact that coalescence is promoted by increasing the size ratio,a trend of suppressed coalescence was observed as the size ratio increased to a certain value.As the size ratio increases,gas film length increases moderately while drainage velocity rises more rapidly,reducing drainage time and promoting coalescence.With further increases in size ratio,the gas film length continues to increase,while the drainage velocity increase becomes more gradual,resulting in a longer drainage time and therefore a suppressed coalescence.
基金supported by grants from the Provincial Key R&D Program of Shaanxi(Grant No.2021ZDLSF05-03)the Na-tional Natural Science Foundation of China(Grant No.42107067)the China Postdoctoral Science Foundation(Grant No.2021M692745).
摘要Soil moisture content(SMC)plays a vital role in agricultural productivity,water resource management,and ecosystem sustainability in semi-arid regions.Despite this importance,most existing machine learning models mainly rely on remote sensing data to predict the soil moisture variation in the surface soil;however,they are constrained by redundant input features and limited interpretability.To address these shortcomings,this study combines the Random Forest(RF)algorithm,Convolutional Neural Networks(CNN),and the Transformer framework to develop a hybrid RF-CNN-Transformer model.Specifically,the RF algorithm,CNN,and Transformer framework are respectively used for selecting influential features,extracting spatial patterns,and capturing long-term temporal dependencies.Applied to the Mu Us Sandy Land using data from six soil depths(5,10,20,40,70,and 87 cm),the model demonstrated high prediction accuracy and training efficiency across all layers compared to baseline models,with R2 values ranging from 0.8586 to 0.984(mean R2=0.9507).Interpretability analysis revealed a shift in the controlling mechanisms of soil moisture:shallow-layer SMC is jointly influenced by meteorological conditions and groundwater level,whereas groundwater becomes the dominant factor in deeper layers.Notably,due to the extremely dry climate,precipitation has a relatively minor impact on soil moisture dynamics across all depths.Overall,the proposed RF-CNN-Transformer model enhances both the predictive capability and interpretability of soil moisture variation,supporting precision irrigation and water resource optimization in agriculture,especially in arid and semi-arid regions.
基金funded by the Hunan Provincial Natural Science Foundation of China(Grant No.2025JJ70105)the Hunan Provincial College Students’Innovation and Entrepreneurship Training Program(Project No.S202411342056)The article processing charge(APC)was funded by the Project No.2025JJ70105.
摘要With the widespread use of social media,the propagation of health-related rumors has become a significant public health threat.Existing methods for detecting health rumors predominantly rely on external knowledge or propagation structures,with only a few recent approaches attempting causal inference;however,these have not yet effectively integrated causal discovery with domain-specific knowledge graphs for detecting health rumors.In this study,we found that the combined use of causal discovery and domain-specific knowledge graphs can effectively identify implicit pseudo-causal logic embedded within texts,holding significant potential for health rumor detection.To this end,we propose CKDG—a dual-graph fusion framework based on causal logic and medical knowledge graphs.CKDG constructs a weighted causal graph to capture the implicit causal relationships in the text and introduces a medical knowledge graph to verify semantic consistency,thereby enhancing the ability to identify the misuse of professional terminology and pseudoscientific claims.In experiments conducted on a dataset comprising 8430 health rumors,CKDG achieved an accuracy of 91.28%and an F1 score of 90.38%,representing improvements of 5.11%and 3.29%over the best baseline,respectively.Our results indicate that the integrated use of causal discovery and domainspecific knowledge graphs offers significant advantages for health rumor detection systems.This method not only improves detection performance but also enhances the transparency and credibility of model decisions by tracing causal chains and sources of knowledge conflicts.We anticipate that this work will provide key technological support for the development of trustworthy health-information filtering systems,thereby improving the reliability of public health information on social media.
基金supported by the National Key Research and Development Program(2021YFB3501103)Guiding Local Funding Projects for Scientific and Technological Development by Central Government in Hebei(216Z1402G)Youth Fund of GRINM Group Co.,Ltd.
摘要The lanthanum-cerium-based slurry(LC-slurry)is extensively utilized in the chemical mechanical polishing(CMP)of TFT-LCD glass substrates,optical lenses,and other glass products.Sodium hexametaphosphate(SHMP),as a dispersant,is commonly employed to enhance the dispersion properties of LCslurry for improved polishing performance.However,the tendency of sedimentation to form a compacted sediment layer,which is challenging to redisperse,increases storage difficulty and polishing equipment failure risk,thereby limiting its utilization in CMP.In the present study,sodium carboxymethylcellulose(CMC-Na),a long-chain organic polymer,was employed to enhance the redispersibility of LC-slurry containing SHMP.A comprehensive investigation was conducted on the influence of CMC-Na dosage and slurry pH on dispersibility,redispersibility and polishing performance.Additionally,an analysis was carried out to elucidate the underlying mechanism behind the effect of CMC-Na.The study demonstrates that the LC-slurry,containing 250 ppm SHMP and 500 ppm CMC-Na,exhibits excellent dispersibility and redispersibility.Further polishing tests demonstrate that compared to the LC-slurry containing only SHMP,utilizing the slurry containing both SHMP and CMC-Na at various pH for polishing thin film transistor liquid crystal display(TFT-LCD)glass substrates results in a reduction of both material removal rate(MRR)and surface roughness(Sa).Specifically,when adjusting the slurry to a pH range of 5-6,the MRR can reach up to 330 nm/min,which closely approximates the MRR achieved by LC-slurry containing only 250 ppm SHMP at corresponding pH values.Meanwhile,after polishing,the surface roughness of the glass substrate measures approximately 0.47 nm.
基金supported by the National Key Research and Development Program of China(No.2019YFC1804501)the National Natural Science Foundation of China(Nos.22036007 and 22122611)+1 种基金the Natural Science Foundation of Shandong Province(No.ZR2020ME228)the Introduction and Cultivation Plan for Young Innovative Talents of Colleges and Universities.
摘要This study investigated environmental distribution and human exposure of polycyclic aromatic hydrocarbons(PAHs)and their derivatives in one Chinese petroleum refinery facility.It was found that,following with high concentrations of 16 EPA PAHs(∑Parent-PAHs)in smelting subarea of studied petroleum refinery facility,total derivatives of PAHs[named as XPAHs,including nitro PAHs(NPAHs),chlorinated PAHs(Cl-PAHs),and brominated PAHs(Br-PAHs)]in gas(mean=1.57×104ng/m3),total suspended particulate(TSP)(mean=4.33×103 ng/m3)and soil(mean=4.37×103 ng/g)in this subarea had 1.76-6.19 times higher levels than those from other subareas of this facility,surrounding residential areas and reference areas,indicating that petroleum refining processes would lead apparent derivation of PAHs.Especially,compared with those in residential and reference areas,gas samples in the petrochemical areas had higher∑NPAH/∑PAHs(mean=2.18),but lower∑Cl-PAH/∑PAHs(mean=1.43×10-1)and∑Br-PAH/∑PAHs ratios(mean=7.49×10-2),indicating the richer nitrification of PAHs than chlorination during petrochemical process.The occupational exposure to PAHs and XPAHs in this petroleum refinery facility were 24-343 times higher than non-occupational exposure,and the ILCR(1.04×10-4)for petrochemical workers was considered to be potential high risk.Furthermore,one expanded high-resolution screening through GC Orbitrap/MS was performed for soils from petrochemical area,and another 35 PAHs were found,including alkyl-PAHs,phenyl-PAHs and other species,indicat-ing that profiles and risks of PAHs analogs in petrochemical areas deserve further expanded investigation.
基金financially supported by Beijing Natural Science Foundation in China(No.2244090)
摘要The Ga-doped Li7La3Zr2O12(Ga-LLZO) system currently exhibits the highest ionic conductivity among garnet-type solid-state electrolytes and faces persistent challenges including pore formation—arising from high-temperature disproportionation reactions and elevated sintering activity—as well as lithium filament growth and short-circuit failure at pores and grain boundaries.Effectively addressing these issues while retaining high ionic conductivity remains a major obstacle.In this study,Ce was introduced into the Ga-LLZO lattice via an in situ tuning strategy,which significantly reduced internal pore retention and suppressed the reduction of migrating Li+into dead lithium.The optimized Ce in situ tuning controlled Ga-LLZO achieved an ionic conductivity exceeding 1 mS cm-1 at 25℃,while the critical current density(CCD) in lithium symmetric cells reached 0.7 mA cm-2—twice that of unmodified Ga-LLZO.Remarkably,no shortcircuiting occurred even after 2700 h of cycling at 0.3 mA cm-2,in contrast to the unmodified Ga-LLZO,which failed after only 50 h.The corresponding full cells also demonstrated excellent cycling stability and ultra-high capacity retention,significantly outperforming unmodified Ga-LLZO.Compared with recent electrolyte modification strategies,the Ce in situ tuning controlled Ga-LLZO delivers outstanding overall performance.Moreover,it holds strong potential for synergistic integration with other advanced modification techniques,offering broad prospects for further development and practical implementation in next-generation all-solid-state batteries(ASSBs).
基金supported by National Natural Science Foundation of China(No.12301626,No.22409033,and No.22409035)Guangdong Basic and Applied Basic Research Foundation(No.2022A1515110612,No.2022A1515110470 and No.2024A1515011849)+1 种基金Funding by Science and Technology Projects in Guangzhou(No.2025A03J3089 and No.2024A04J4111)Guangdong Engineering Technology Research Center for Hydrogen Energy and Fuel Cells.
摘要In the global trend of vigorously developing hydrogen energy,proton-conducting solid oxide electrolysis cells(P-SOECs)have attracted significant attention due to their advantages of high efficiency and not requiring precious metals.However,the application of P-SOECs faces challenges,particularly in developing high-performance anodes possessing both high catalytic activity and ionic conductivity.In this study,La0.9Ba0.1Co0.7Ni0.3O3−δ(LBCN9173)and La0.9Ba0.1Co0.7Ni0.3O3−δ(LCCN9173)oxides are tailored as promising anodes by machine learning model,achieving the synergistic enhancement of water oxidation reaction kinetics and proton conduction,which is confirmed by comprehensively analyzing experiment and density functional theory calculation results.Furthermore,the anodic reaction mechanisms for P-SOECs with these anodes are elucidated by analyzing distribution of relaxation time spectra and Gibbs energy of water oxidation reaction,manifesting that the dissociation of H2O is facilitated on LBCN9173 anode.As a result,P-SOEC with LBCN9173 anode demonstrates a top-rank current density of 2.45 A cm−2at 1.3 V and an extremely low polarization resistance of 0.05Ωcm2at 650°C.This multi-scale,multi-faceted research approach not only discovered a high-performance anode but also proved the robust framework for the machine learning-assisted design of anodes for P-SOECs.
摘要Policy training against diverse opponents remains a challenge when using Multi-Agent Reinforcement Learning(MARL)in multiple Unmanned Combat Aerial Vehicle(UCAV)air combat scenarios.In view of this,this paper proposes a novel Dominant and Non-dominant strategy sample selection(DoNot)mechanism and a Local Observation Enhanced Multi-Agent Proximal Policy Optimization(LOE-MAPPO)algorithm to train the multi-UCAV air combat policy and improve its generalization.Specifically,the LOE-MAPPO algorithm adopts a mixed state that concatenates the global state and individual agent's local observation to enable efficient value function learning in multi-UCAV air combat.The DoNot mechanism classifies opponents into dominant or non-dominant strategy opponents,and samples from easier to more challenging opponents to form an adaptive training curriculum.Empirical results demonstrate that the proposed LOE-MAPPO algorithm outperforms baseline MARL algorithms in multi-UCAV air combat scenarios,and the DoNot mechanism leads to stronger policy generalization when facing diverse opponents.The results pave the way for the fast generation of cooperative strategies for air combat agents with MARLalgorithms.
基金financially supported by the National Key Research and Development Project,China(Nos.2018YFA0703300,2022YFB4600019)the National Natural Science Foundation of China(Nos.52275148,52405154)+2 种基金the Innovation Program Phase II of AECC Commercial Aircraft Engine Co.Ltd,China(No.HT-3RJC1053-2020)support by the Postdoctoral Fellowship Program of CPSF,China(No.GZB20240219)the Shanghai Sailing Program,China(No.24YF2708100).
摘要Submerged Abrasive Waterjet Peening(SAWJP)shows great application potential in augmenting the fatigue properties of metallic parts.Thus,the present work aims to investigate the influence of SAWJP on the Surface Integrity(SI)and Fretting Fatigue(FF)properties of Inconel 718(IN718)superalloy and illustrate the microstructural evolution,FF life improvement,and fretting wear mechanism.First,the SI of the IN718 specimen was examined following treatment via SAWJP.Results showed that the specimen subjected to SAWJP formed a total plastic deformation layer of 56μm.The maximum microhardness and Compressive Residual Stress(CRS)measured across the depth of the SAWJP-treated specimens exhibited an increase in values ranging between 522 HV and 541 HV and 1171–1380 MPa,respectively.The FF test results of the specimen before and after SAWJP treatment at ambient temperatures indicated that the FF life of the SAWJP-treated specimen surpassed that of the as-received specimen by a factor of 2.81.The examination of the FF fracture,contact surface,and crack propagation behavior revealed the crucial factors contributing to the enhanced FF resistance of the IN718 specimen,including the gradient nanostructure characterized by ultra-refined grains,substantial CRS,and elevated microhardness,which were all induced by the SAWJP treatment.
基金financially supported by the National Natural Science Foundation of China(32225035)。
摘要1.Introduction Soil is the foundation of agriculture and of life itself[1],and fertile soil gives birth to crops with rich nutrients.Crops have significant species-specific demands for soil nutrients,including nitrogen(N),phosphorus(P),potassium(K),trace elements,and so forth.Differences in crop nutrient needs are mainly due to the physiological characteristics of the development of different organs and the diversity of metabolic pathways.For example,leafy crops(spinach,lettuce,etc.)require more N for stem and leaf growth,while fruit crops(tomatoes,peppers,soybeans,etc.)rely on more P and K to facilitate the formation of organs such as seeds and fruits.Cereal crops(corn,wheat,etc.)have a prominent demand for N and silicon(Si),which are used for protein synthesis and to increase stem strength,while fruit trees are sensitive to trace elements such as calcium(Ca)and magnesium(Mg),which are used to stabilize cell walls and promote photosynthesis.
基金supported by the National Natural Science Foundation of China(Nos.22476054 and 51878293)。
摘要Ozone catalytic oxidation(OCO)is a promising technology for controlling malodorous pollution,effectively removing low-concentration oxygenated volatile organic compounds(OVOCs)at low temperatures.However,the catalytic performance of manganese oxides remains constrained by insufficient reactive oxygen species(ROS)and high humidity,particularly at low temperatures.To address this,a series of MMnO2catalysts were successfully prepared by introducing highly dispersed transition metals(M=Fe,Ce,Mo)into MnO2via an in-situ hydrothermal method,aiming to improve low-temperature performance.Among these catalysts,the FeMnO2catalyst exhibited the highest catalytic performance,achieving 100%conversion of 30 ppm ethyl acetate(EA)and a 92.78%mineralization rate at 70℃,along with exceptional stability and water resistance(12.8 vol.%).In situ characterization techniques have demonstrated that the introduction of Fe significantly weakens the Mn-O bond in MnO2.The formation of abundant oxygen vacancies facilitates the adsorption and activation of O3.Both 1O2and·O2-species serve as crucial ROS,promoting the effective mineralization of EA on the catalyst surface and reducing the generation of reaction intermediates.This study provides a significant foundation for the further development of catalysts targeting low-concentration OVOCs and for enhancing the practical low-temperature catalytic activity of transition metal oxides.
基金supported by the National Key R&D Program of China(Grant No.2020YFA0309600)the Research Grants Council(RGC)of Hong Kong(Grant Nos.16303123,C6053-23G-D,AoE/P701/20).
摘要Ferroelectricity,typically arising from ionic displacements in noncentrosymmetric lattices,enables applications in memory devices and sensors.Recent advances in two-dimensional materials and van der Waals heterostructures have revealed novel ferroelectric phenome-na,including sliding ferroelectricity and correlation-driven ferroelectricity in moirésuperlattices.In this work,we fabricate and study a MoS2/WSe2 moirésuperlattice device exhibiting a high field-effect mobility of 17650 cm2·V−1·s−1.Electrical transport measurements reveal correlated insulating states accompanied by a prominent and reproducible resistance hysteresis near half-filling.Temperature and displacement field dependence further confirms the correlation-enhanced nature of the hysteresis.Our analysis suggests that displace-ment field-induced metal-to-insulator transition at correlated insulating state coupled with interfacial dipoles enables the observed resistance hysteresis.These results establish correlation enhanced resistance hysteresis near half-filling in a MoS2/WSe2 heterobilayer,offering opportunities for exploring emergent quantum phases and device functionalities.
基金supported by the National Key Research and Development Program of China(2022YFD2001600 and 2022YFD2001601)。
摘要Deep learning(DL)methods,particularly those that combine camera and light detection and ranging(LiDAR)data,have demonstrated remarkable accuracy in three-dimensional(3D)obstacle detection.This is crucial for achieving rigorous and reliable autonomous navigation of agricultural machinery.However,recent approaches heavily rely on large-scale labeled datasets during training,which creates challenges for their application in agriculture because of presence of scarce and distinct agricultural samples.To overcome this limitatio n,this paper proposes a novel 3D detection method for agricultural obstacles with few or zero samples based on a multimodal feature representation mechanism.Image and point cloud attitude adjusters are integrated to increase the accuracy,reliability,and uniformity of multimodal data.Semantic and geometry-intensity feature encoders are integrated to capture essential relationships among categories.The Bird's Eye View(BEV)fusion decoder is designed to discern intracategory similarities and intercategory distinctions.Multicategory experiments in various field scenarios reveal that the proposed method reduces the dependence on training samples by 30%-40%,and the precision rate,recall rate,F1 score,and detection speed are 95.03%,97.01%,96.01%,and 16.56 frames per second(FPS),respectively.Even in completely unknown scenarios(i.e.,obstacle categories that lack any corresponding training samples),the proposed method still achieves an acceptable F1 score of 81.63%.As indicated by the results,the proposed method achieves a sophisticated trade-off among detection performance,operational efficiency,and data dependency,providing an effective safety guarantee for the autonomous navigation of agricultural machinery.
基金supported by the National Key Research and Development Program of China(2023YFC2809000)the National Natural Science Foundation of China(22422603,52201315,22266015,22327807,U23A20104,and U2167220)+3 种基金the Natural Science Foundation of Hainan Province(225YXQN585)the Hainan Province Science and Technology Special Fund(ZDYF2024SHFZ066)the Young Elite Scientists Sponsorship Program by Chinese Association for Science and Technology(CAST2023QNRC001)。
摘要Uranium extraction from seawater is a promising strategy to alleviate global uranium scarcity,yet its implementation is hindered by extremely low concentrations and complex ionic environments.Concentrated seawater brine,a byproduct of salt production and desalination,contains 2-10 times more uranium than natural seawater,yet its high salinity presents additional challenges for extraction.Conventional polyamidoxime(PAO)hydrogels exhibit salt-induced shrinkage,compromising functional group accessibility and adsorption efficiency.Herein,we develop an anti-polyelectrolyte effect hydrogel by composing polyvinylphosphonic acid(PVPA)and the PAO.Under high-salinity conditions,cations and anions accumulate via diffusion around the positively charged amidoxime and negatively charged phosphonic acid groups,weakening interchain electrostatic attractions.This anti-polyelectrolyte effect promotes hydrogel swelling,significantly improving the exposure of binding sites and uranyl ion uptake.The PVPA-PAO hydrogel achieves a uranium adsorption capacity of 43.89 mg·g-1 after 24 days in concentrated natural seawater derived from solar saltworks,significantly surpassing that of previously reported PAO hydrogels(~10 mg·g-1).In addition,it exhibits excellent antibacterial performance,mechanical robustness,and ion selectivity.This work presents an effective strategy for improving uranium recovery from marine resources and advances the comprehensive development and utilization of seawater resources.
摘要Developing efficient electrocatalysts for the urea oxidation reaction(UOR)is a promising strategy for purifying urea-laden wastewater and promoting energy-efficient hydrogen production.However,the strong binding of the hydroxyl group to Fe sites in the NiFe layered double hydroxide(NiFe-LDH)impedes the generation of active Ni3+-O,thus raising the onset potential of UOR.Moreover,identifying and tracking the active sites in NiFe-LDH at the molecular level remains a considerable challenge during the UOR process.Herein,we modified NiFe-LDH by incorporating the low-electronegativity S element to create S-NiFe-LDH,thereby optimizing the electron structure and facilitating the transfer of active sites from Ni2+and Fe3+in the original NiFe-LDH to high-valence Ni intermediates in S-NiFe-LDH at a low applied potential.Moreover,the incorporation of S into NiFe-LDH significantly reduces the thermodynamic barrier of the Ni active sites,advancing the intrinsic activity and kinetic process of the active sites for the decomposition of urea by facilitating the Ni3+-O formation because of the facile dehydrogenation steps at the Ni sites.As a result,the S-NiFe-LDH achieved excellent electrochemical UOR activity,with a low potential of 1.36 V and long-term durability at 100 mA cm-2,demonstrating promising prospects for practical application.Overall,this work unscrambles the immediate active sites during electrocatalysis and paves a new avenue for the electronic engineering of NiFe-based catalysts in the UOR process.
基金supported by the National Natural Science Foundation of China(Nos.52422408 and 52171031)the Liaoning Xingliao Talents-Top-notch Young Talents Project(No.XLYC2203064)+1 种基金the Excellent Youth Fund of Liaoning Natural Science Foundation(No.2023JH3/10200001)the Fundamental Research Funds for the Central Universities(No.N2425004).
摘要The transient phenomena of re-oxidation and slag entrapment occurring in the tundish during the ladle change-over process have been proven detrimental to clean steel production.Therefore,an unsteady three-phase turbulence model,coupling velocity,temperature,and phase field was established to study the effect of the ladle shroud immersion depth on the slag eye formation,slag entrainment,slag dragging,air dragging,and flow characteristics during the ladle change-over process of a two-strand tundish.The results showed that reducing the immersion depth decreases the high-velocity region area under the slag layer in the quasi-steady process.During the emptying stage,as the molten bath level gradually decreases,the outlet temperature exhibits a trend of initially decreasing and subsequently increasing across all three shroud immersion depths.However,under a 210 mm shroud immersion depth,molten slag and air are dragged into the shroud,forming slag droplets and causing significant fluctuations,with a maximum scalar velocity of 0.0764 m/s at the monitoring point.In the filling stage,air and molten slag are dragged into the molten bath,forming bubbles and slag droplets at an immersion depth of 210 mm.Bubbles are observed within the molten slag layer,which can readily cause an emulsification phenomenon,making it easier to be dragged as slag droplets.Additionally,the slag eye area measured under 210 mm immersion depth at 45 s is 0.303 m2,while the maximum scalar velocity of 2.4259 m/s is detected at 12 s.At an immersion depth of 360 mm,the average area of the slag eye is minimized to 0.06268 m2,with corresponding variances of 0.006753,representing the optimal immersion depth.
基金financially supported by Beijing Natural Science Foundation in the People's Republic of China(Grant No.2244090)。
摘要A major challenge in garnet-type Li7La3Zr2O12(LLZO) system all-solid-state electrolytes is the high porosity that typically remains after sintering,which compromises ionic conductivity and degrades battery cycling performance.To address this,we propose an innovative strategy to achieve uniform lithium enrichment on the surface of electrolyte powder particles by controlling the calcination atmosphere.The resulting garnet-type solid-state electrolyte powder features a thin,uniform Li2O-based lithium-rich coating layer that effectively eliminates sintering-induced porosity without introducing impurities(or the second phase) while simultaneously promoting grain fusion and moderate structural amorphization.This synergistic function enhances both ionic conductivity and resistance to lithium filament growth.At 25℃,the Ta-doped LLZO(Ta-LLZO) exhibits an ionic conductivity of 1.12 × 10-3 S cm-1 and supports a critical current density of 1.4 mA cm-2 in symmetric lithium cells.The assembled Li/Ta-LLZO/NCM811 all-solid-state battery achieves a discharge capacity of 163.5 mAh g-1 with 91.4% capacity retention over 120 cycles at 0.3C,along with excellent rate performance.These results significantly outperform those of garnet electrolytes lacking surface treatment or exhibiting nonuniform lithium deposition.This scalable and controllable in situ surface engineering approach effectively addresses the long-standing challenges of porosity and interracial properties in garnet electrolytes,offering a promising pathway toward the commercial deployment of advanced solid-state batteries.
基金supported by the Key Research Program of Frontier Sciences,CAS,China(ZDBS-LY-DQC025)the Basic Scientific Research Project of the National Institute of Metrology,China(AKYZZ2449,AKYZZ2546).
摘要Natural polymers possess the qualities of abundant resources,low cost,as well as excellent biocompatibility and biodegradability,and are ideal materials for next-generation wearable and portable electronic devices.To further augment the application scope of natural polymer materials,integrating them with functional materials represents a promising approach that is of great value for the sustainable development of triboelectric nanogenerators.Here,we successfully synthesized starch-[CsPbBr3-KBr]-Fe3O4composite films through the combination of natural polymer materials with magnetic and fluorescent components.It is capable of achieving reversible hydrochromic conversion by exposing or removing water.The combination of fluorescent CsPbBr3-KBr,magnetic Fe3O4,and waterproof starch-[CsPbBr3-KBr]-Fe3O4-Polydimethylsiloxane leads to the realization of fluorescence and magnetic composite anti-counterfeiting.This composite anti-counterfeiting technology presents a novel and highly effective approach for ensuring the authenticity and security of various types of information.In addition,the Composite film based triboelectric nanogenerator has been assembled,which has a stable output with a short circuit current and open-circuit voltage of 15.1μA and 170.1 V,respectively.The triboelectric nanogenerator can light 204 red LED lights at the same time,and the electrical output is not reduced even after 4200 mechanical cycles.Furthermore,based on the triboelectric nanogenerator,we have successfully demonstrated a self-powered sensor that can monitor human movement signals in real time.The sensor has shown broad application prospects in the field of health monitoring and motion analysis.
基金supported by National Natural Science Foundation of China(Nos.52422408 and 52171031)Liaoning Xingliao Talents-Top-Notch Young Talents Project(No.XLYC2203064)National Natural Science Foundation of China(No.52422408)。
摘要A 1:4 water model experimental platform was established based on a 135 t dual-plug bottom-blowing ladle.The plugs used were of a porous-type and two slot types(slot Ⅰ and slot Ⅱ).Bubble distribution,mixing time,and slag eye in the ladle’s multiphase system under various clogging ratios were investigation.Solutions were proposed to mitigate the negative impact of clogging on refining efficiency.The results indicate that the clogging of plugs significantly affects both the number and diameter distribution of bubbles,with the porous-type plug being the most affected.When the clogging percentage reaches 3/4,the maximum bubble diameter in the porous-type plug group is significantly larger than that in the slot-type plug group,and a large number of small-diameter bubbles are produced due to fragmentation.When there is no clogging,the slot Ⅰ plug group shows the shortest mixing time,while the slot Ⅱ plug group has the longest.After clogging,increasing the flow rate by 50 L/h can counteract the negative impact on mixing time in the porous-type and slot Ⅰ plug groups,while a larger increase is required for the slot Ⅱ plug group.The slag eye area decreases as the clogging percentage increases.When the clogging percentage reaches 3/4,the slag eye area for the porous,slot I,and slot Ⅱ plugs decreases by approximately 24%,14%,and 17%,respectively,and the fluctuation in the slag eye area increases significantly.This can be used as an indicator to assess the degree of clogging.
基金supported by the National Natural Science Foundation of China(32160114 and 32460125 to B.L.,32170460 and32570495 to N.W.,32125005 to X.J.Z.)State Key Laboratory of Reproductive Regulation&Breeding of Grassland Livestock(2025KYPT0081)+3 种基金Young Science and Technology Talents Program for Universities in Inner Mongolia(NJYT23087)to B.L.Outstanding Young Scientist Project of Natural Science Foundation of Inner Mongolia Autonomous Region of China(2022JQ07)Cultivation Project of Inner Mongolia University(21221505)to N.W.Talent Research Startup Foundation of Hainan Normal University(HSZK-KYQD-202606)to L.W.W。
摘要Mitochondrial genomes(mitogenomes)play a crucial role in species adaptation to diverse evolutionary pressures.Although adaptive changes in mitochondrial genes have been reported under extreme conditions,large-scale analyses of mitogenomic evolution across ecologically diverse habitats are still limited.The Eurasian tree sparrow(Passer montanus),one of the most widely distributed avian species,occupies variable habitats,providing an ideal model for investigating mitochondrial responses to environmental heterogeneity.This study examined mitogenomic variation in tree sparrow populations sampled across China,revealing pronounced mitochondrial divergence in geographically isolated populations,particularly those in southern Xizang on the QinghaiXizang Plateau and the continental islands of Hainan and Taiwan.In the high-altitude population of southern Xizang,non-synonymous substitutions in COX2 and COX3 may enhance protein stability,potentially facilitating adaptation to cold and hypoxic conditions.In contrast,substitutions in ATP6(Hainan)and ND5(Taiwan)may reduce protein stability,implying distinct mitogenomic responses to local environmental constraints.Moreover,distinct t RNA mutations in the Hainan populations may confer increased structural flexibility,potentially contributing to islandspecific adaptation.These findings highlight the role of mitochondrial genomes in responding to ecological variation and geographic barriers,underscoring the prospective functional consequences of mitogenomic evolution.