Large-scale deployment of carbon dioxide(CO2) removal technology is an essential step to cope with global warming and achieve carbon neutrality. Direct air capture(DAC) has recently received increasing attention g...
Large-scale deployment of carbon dioxide(CO2) removal technology is an essential step to cope with global warming and achieve carbon neutrality. Direct air capture(DAC) has recently received increasing attention given the high flexibility to remove CO2from discrete sources. Porous materials with adjustable pore characteristics are promising sorbents with low or no latent heat of vaporization. This review article has summarized the recent development of porous sorbents for DAC, with a focus of pore engineering strategy and adsorption mechanism. Physisorbents such as zeolites, porous carbons, metal-organic frameworks(MOFs), and amine-modified chemisorbents have been discussed and their challenges in practical application have been analyzed. At last, future directions have been proposed, and it is expected to inspire collaborations from chemistry, environment, material science and engineering communities.
Deep learning(DL)-based image reconstruction methods have garnered increasing interest in the last few *** studies demonstrate that DL-based reconstruction methods function admirably in optical tomographic imaging tec...
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Deep learning(DL)-based image reconstruction methods have garnered increasing interest in the last few *** studies demonstrate that DL-based reconstruction methods function admirably in optical tomographic imaging techniques,such as bioluminescence tomography(BLT).Nevertheless,nearly every existing DL-based method utilizes an explicit neural representation for the reconstruction problem,which either consumes much memory space or requires various complicated *** this paper,we present a neural field(NF)-based image reconstruction scheme for BLT that uses an implicit neural *** proposed NFbased method establishes a transformation between the coordinate of an arbitrary spatial point and the source value of the point with a relatively light-weight multilayer perceptron,which has remarkable computational *** simple neural network composed of two fully connected layers and a 1D convolutional layer is used to generate the neural *** of simulations and experiments show that the proposed NF-based method has similar performance to the photon density complement network and the two-stage network,while consuming fewer floating point operations with fewer model parameters.
In this work,the interactions between the environmentally friendly refrigerant propane(R290) and Polyol Ester(POE) including solubility parameters,diffusion coefficients,binding energies,and radial distribution functi...
In this work,the interactions between the environmentally friendly refrigerant propane(R290) and Polyol Ester(POE) including solubility parameters,diffusion coefficients,binding energies,and radial distribution functions were investigated using molecular dynamics(MD).Specifically,the effect of chain length of Pentaerythritol esters(PEC) as the representative component of POE on the interaction of PEC/R290 was *** solubility parameters difference exhibits the PEC and R290 are more easily miscible as increasing chain length of PEC,and there is plateau as the chain lengths is above 8 *** addition,it was also found that solubility parameters are various for the isomers due to the different spatial ***,the presence of PEC would reduce the diffusion coefficient of R290 in the mixed system of R290/lubricant with the reduction of20% on *** is also found that van der Waals forces are dominant in the R290/PEC *** PEC molecules start to be bound to the H atoms of R290 at the first neighbor shell layer with a radius of 0.219 ***,the molecular simulation model of POE22 considering various actual components was innovatively *** results showed that the solubility of R290 with typical POE lubricant is affected by the composition and proportions of based oil and additives.
Magmatic hydrothermal deposits are important sources of many bulk,precious,and rare metals,and have attracted interest from both academic and industrial ***,it is still unclear if the major enrichment of the ore-formi...
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Magmatic hydrothermal deposits are important sources of many bulk,precious,and rare metals,and have attracted interest from both academic and industrial ***,it is still unclear if the major enrichment of the ore-forming metals occurs in the parental magma source region,during the magma evolution,or after the fluid *** inclusions trapped in hydrothermal minerals crystallized in the early,high-temperature stage before metal precipitation record information close to that of the initially exsolved magmatic fluids,which are helpful in revealing whether the metals have been already significantly enriched prior to the hydrothermal *** this study,available compositional data of such early-stage fluid inclusions from magmatic hydrothermal systems globally have been *** results indicate that the concentrations of Cu,Sn,and W respectively from the Cu-,Sn-,and W-mineralized fluids are significantly higher than the hydrothermal systems that do not produce ores with the corresponding *** suggests that Cu,Sn,and W could have already been enriched in the magma source and/or magma evolution *** Mo concentrations show no difference between Mo-mineralized and Mobarren fluid systems,indicating no significant pre-enrichment in the source region or during the magma *** also implies that an efficient collection of Mo from a large volume of magmas is required to account for the formation of a large Mo *** all the hydrothermal fluids contain high concentrations of Fe and Zn-Pb,but only a few of them eventually form Fe or Zn-Pb deposits,reflecting an important role of the hydrothermal evolution process on the selective metal *** above results indicate that different metals are enriched in different stages of a magmatic hydrothermal system,and that the major roles played in the formation of a deposit vary with the metal *** addition to the metal concentrations in the orerelated magmas and fluids
In the realm of Intelligent Railway Transportation Systems,effective multi-party collaboration is crucial due to concerns over privacy and data *** Federated Learning(VFL)has emerged as a promising approach to facilit...
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In the realm of Intelligent Railway Transportation Systems,effective multi-party collaboration is crucial due to concerns over privacy and data *** Federated Learning(VFL)has emerged as a promising approach to facilitate such collaboration,allowing diverse entities to collectively enhance machine learning models without the need to share sensitive training ***,existing works have highlighted VFL’s susceptibility to privacy inference attacks,where an honest but curious server could potentially reconstruct a client’s raw data from embeddings uploaded by the *** vulnerability poses a significant threat to VFL-based intelligent railway transportation *** this paper,we introduce SensFL,a novel privacy-enhancing method to against privacy inference attacks in ***,SensFL integrates regularization of the sensitivity of embeddings to the original data into the model training process,effectively limiting the information contained in shared *** reducing the sensitivity of embeddings to the original data,SensFL can effectively resist reverse privacy attacks and prevent the reconstruction of the original data from the *** experiments were conducted on four distinct datasets and three different models to demonstrate the efficacy of *** results show that SensFL can effectively mitigate privacy inference attacks while maintaining the accuracy of the primary learning *** results underscore SensFL’s potential to advance privacy protection technologies within VFL-based intelligent railway systems,addressing critical security concerns in collaborative learning environments.
Garnet Li_(7)La_(3)Zr_(2)O_(12)(LLZO)electrolytes have been recognized as a promising candidate to replace liquid/molten-state electrolytes in battery applications due to their exceptional performance,particularly Ga-...
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Garnet Li_(7)La_(3)Zr_(2)O_(12)(LLZO)electrolytes have been recognized as a promising candidate to replace liquid/molten-state electrolytes in battery applications due to their exceptional performance,particularly Ga-doped LLZO(LLZGO),which exhibits high ionic ***,the limited size of the Liþtransport bottleneck restricts its high-current discharging *** present study focuses on the synthesis of Ga^(3+)þand Ba^(2+)þco-doped LLZO(LLZGBO)and investigates the influence of doping contents on the morphology,crystal structure,Liþtransport bottleneck size,and ionic *** particular,Ga_(0.32)Ba_(0.15)exhibits the highest ionic conductivity(6.11E-2 S cm^(-1) at 550 C)in comparison with other compositions,which can be attributed to its higher-energy morphology,larger bottleneck and unique Liþtransport *** addition to Ba^(2+),Sr^(2+)þand Ca^(2+)have been co-doped with Ga3þinto LLZO,respectively,to study the effect of doping ion radius on crystal structures and the properties of *** characterization results demonstrate that the easier Liþtransport and higher ionic conductivity can be obtained when the electrolyte is doped with larger-radius *** a result,the assembled thermal battery with Ga_(0.32)Ba_(0.15)-LLZO electrolyte exhibits a remarkable voltage platform of 1.81 V and a high specific capacity of 455.65 mA h g^(-1) at an elevated temperature of 525℃.The discharge specific capacity of the thermal cell at 500 mA amounts to 63%of that at 100 mA,showcasing exceptional high-current discharging *** assembled as prototypes with fourteen single cells connected in series,the thermal batteries deliver an activation time of 38 ms and a discharge time of 32 s with the current density of 100 mA cm^(-2).These findings suggest that Ga,Ba co-doped LLZO solid-state electrolytes with high ionic conductivities holds great potential for high-capacity,quick-initiating and high-current discharging thermal batteries.
Objective High-altitude hypoxia exposure often damages hippocampus-dependent learning and ***-A is an important axonal growth inhibitory ***,its function in high-altitude hypoxia and its mechanism of action remain ***...
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Objective High-altitude hypoxia exposure often damages hippocampus-dependent learning and ***-A is an important axonal growth inhibitory ***,its function in high-altitude hypoxia and its mechanism of action remain *** In an in vivo study,a low-pressure oxygen chamber was used to simulate high-altitude hypoxia,and genetic or pharmacological intervention was used to block the Nogo-A/NgR1 signaling *** fear conditioning and Morris water maze behavioral tests were used to assess learning and memory in rats,and synaptic damage in the hippocampus and changes in oxidative stress levels were *** vitro,SH-SY5Y cells were used to assess oxidative stress and mitochondrial function with or without Nogo-A knockdown in Oxygen Glucose-Deprivation/Reperfusion(OGD/R)*** Exposure to acute high-altitude hypoxia for 3 or 7 days impaired learning and memory in rats,triggered oxidative stress in the hippocampal tissue,and reduced the dendritic spine density of hippocampal *** the Nogo-A/NgR1 pathway ameliorated oxidative stress,synaptic damage,and the learning and memory impairment induced by high-altitude *** Our results demonstrate the detrimental role of Nogo-A protein in mediating learning and memory impairment under high-altitude hypoxia and suggest the potential of the Nogo-A/NgR1 signaling pathway as a crucial therapeutic target for alleviating learning and memory dysfunction induced by high-altitude exposure.
This study investigates the relationship between pesticide metabolites and kidney function in solar greenhouse workers,a group with potentially higher chronic kidney disease(CKD)risk compared to general farmers.A tota...
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This study investigates the relationship between pesticide metabolites and kidney function in solar greenhouse workers,a group with potentially higher chronic kidney disease(CKD)risk compared to general farmers.A total of 279 workers participated,with pesticide metabolites(AMPA,DMP,DEP,DMDTP,GLY,and DEDTP)measured in their urine.
Introduction of the study item on the channel model for FR3 bands for NR. According to the 3rd generation partnership project(3GPP) schedule, 3GPP work for the sixth generation(6G) typically starts in 2024 during Rele...
Introduction of the study item on the channel model for FR3 bands for NR. According to the 3rd generation partnership project(3GPP) schedule, 3GPP work for the sixth generation(6G) typically starts in 2024 during Release 19. This release aims to establish the technical foundations for 6G and include preliminary work on new 6G capabilities.
Stanford type A aortic dissection(STAAD/AD)is a degenerative aortic remodeling disease with an extremely high mortality rate and poor prognosis[1,2].Dissections can be classified into acute(90 d)stages depending on th...
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Stanford type A aortic dissection(STAAD/AD)is a degenerative aortic remodeling disease with an extremely high mortality rate and poor prognosis[1,2].Dissections can be classified into acute(90 d)stages depending on the time interval between the onset of initial symptoms and presentations[3].Patients who survive the acute phase progress to subacute and ultimately chronic stages[4,5].
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