Photocatalysis is widely regarded as a highly promising sustainable technique for addressing the challenges posed by environmental pollution and energy *** recent years,metal-loaded MOFs has become a rising star withi...
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Photocatalysis is widely regarded as a highly promising sustainable technique for addressing the challenges posed by environmental pollution and energy *** recent years,metal-loaded MOFs has become a rising star within the domain of photocatalysis due to its high specific surface area and porosity,adjustable structure,diverse and abundant catalytic components,which has exhibited excellent photocatalytic activity and exhibit great potential in a range of *** this paper,the principles for evaluating the photocatalytic performance of MOFs-based materials were firstly introduced,and some typical examples were also listed *** with this,particular emphasis is paid to the main factors affecting the photocatalytic performance of metal-loaded *** the synthesis and design strategies of MOFs loaded metal entities of varying sizes(single atoms,nanoclusters,and nanoparticles),and their applications in photocatalytic CO_(2)reduction,hydrogen production,photooxidation and photocatalytic hydrogenation were summarized and ***,the opportunities and challenges faced in this kind of MOFs-based composites were analyzed from different *** report is expected to help researchers design and develop high-performance MOFs-based photocatalytic materials.
Metal-organic frameworks(MOFs),renowned for structural diversity and design flexibility,exhibit potential in ***,the pursuit of higher catalytic activity through defects often compromises stability,requiring a delicat...
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Metal-organic frameworks(MOFs),renowned for structural diversity and design flexibility,exhibit potential in ***,the pursuit of higher catalytic activity through defects often compromises stability,requiring a delicate *** trial-and-error method for optimizing synthesis parameters within the complex chemical space is ***,taking the typical MOF UiO-66(Ce)as an illustrative example,a closed loop workflow is built,which integrates ma-chine learning(ML)-assissted prediction,multi-objective optimization(MOO)and experimental preparation to synergistically optimize the defect content and thermal stability of UiO-66(Ce)for efficient hydrogenation of dicyclopentadiene(DCPD).An automatic data extraction program ensures data accuracy,establishing a high-quality *** is employed to explore the intricate synthesis-structure-property correlations,enabling precise delineation of pure-phase subspace and accurate predictions of *** two iterations,MOO model identifies optimal protocols for high defect content(>40%)and thermal stability(>300℃).The optimized UiO-66(Ce)exhibits superior catalytic performance in hydroge-nation of DCPD,validating the precision and reliability of our *** ML-assisted approach offers a valuable paradigm for solving the trade-off riddle in materials field.
Carbon dioxide photocatalytic reduction (CO2-PR) is an efficient method for controlling CO2emissions and generating cleaner energy while mitigating global warming. Tungsten oxides (WxOy) have attracted considerable at...
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Carbon dioxide photocatalytic reduction (CO2-PR) is an efficient method for controlling CO2emissions and generating cleaner energy while mitigating global warming. Tungsten oxides (WxOy) have attracted considerable attention for CO2-PR due to their excellent spectral absorbance. However, comprehensive reviews are lacking on the use of WxOyfor CO2-PR. Therefore, this review provides a detailed summary of t research progress made with WxOy-based catalysts in CO2-PR. It also explains the fundamental principles of CO2-PR and evaluates key performance indicators that affect the activity of WxOy-based photocatalysts,including yield, selectivity, stability, and apparent quantum yield. Additionally, this review explores opportunities for synthesizing high-performance WxOy-based photocatalysts and highlights their potential for the green preparation of C1/C2 products through CO2-PR. These innovative strategies aim to address the challenges and pressures associated with energy and environmental issues, particularly by enhancing artificial photosynthesis efficiency.
Dear Editor,This letter studies the bipartite consensus tracking problem for heterogeneous multi-agent systems with actuator faults and a leader's unknown time-varying control input. To handle such a problem, the cont...
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Dear Editor,This letter studies the bipartite consensus tracking problem for heterogeneous multi-agent systems with actuator faults and a leader's unknown time-varying control input. To handle such a problem, the continuous fault-tolerant control protocol via observer design is developed. In addition, it is strictly proved that the multi-agent system driven by the designed controllers can still achieve bipartite consensus tracking after faults occur.
Macrocyclic arenes have become an important tool in supramolecular chemistry due to their special structure,easy functionalization and prominent host–guest *** design and synthesis of macrocyclic arenes with novel st...
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Macrocyclic arenes have become an important tool in supramolecular chemistry due to their special structure,easy functionalization and prominent host–guest *** design and synthesis of macrocyclic arenes with novel structures and excellent performances have been the focus of research in the field of supramolecular chemistry,including calixarenes,pillararenes,biphenarenes,and hybridarenes[1].These macrocyclic arenes have demonstrated significant potential and value in diverse research fields,such as crystal engineering,adsorption and separation,sensing and detection,as well as drug delivery[2].
An ever-increasing market demand has stimulated the soaring enthusiasm of researchers to develop wide-temperature supercapacitors(SCs).The active electrode is one of the most important parts of SC,which is directly re...
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An ever-increasing market demand has stimulated the soaring enthusiasm of researchers to develop wide-temperature supercapacitors(SCs).The active electrode is one of the most important parts of SC,which is directly related to the energy density,power transmission and long-term cyclability of the device in the wide-temperature *** with the SC electrodes aimed for room-temperature application,the SC electrodes for operating at wide-temperature scene often face greater *** this review,the main challenges of SC electrodes under various temperature conditions,including low,high and cross-fade temperatures,are *** relevant performance decay and failure mechanisms of wide-temperature SC electrodes are *** addition,this review deals with the recent studies and developments in robust wide-temperature SC electrodes with respect to the rational design of electrode structures and the exploitation of advanced active ***,the future directions for exploring reliable wide-temperature SCs are also proposed.
This paper investigates the identifiability of structured systems with a matrix fraction description and attacks practical difficulties in estimating parameters under finite frequency responses. The numerator and deno...
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This paper investigates the identifiability of structured systems with a matrix fraction description and attacks practical difficulties in estimating parameters under finite frequency responses. The numerator and denominator polynomial matrices depend affinely on system parameters, which can represent a broad range of systems, especially circuits and mechanical systems. Except for assuming that the denominator matrix is invertible, no further assumptions are adopted. A criterion is provided for validating this assumption utilizing graph theories and matroids. A sufficient and necessary criterion for global identifiability based on the rank of a numerical matrix is given and can be recursively verified with each frequency point,which is computationally attractive for large-scale systems. For an identifiable system, an ellipsoid approximation is obtained for the set of parameters whose corresponding system frequency responses deviate within a specific range from those of the system at a specific parameter value. Using this approximation, explicit expressions for absolute and relative sloppiness have been derived, which can be used to quantify the difficulty of identifying system parameters. Comparisons with the well-known Fisher information matrix have also been performed through a mechanical system, revealing significant differences in quantifying parameter estimation hardness.
In present work,blue carbon dots(b-CDs)were derived from ammonium citrate and guanidine hydrochloride,and red carbon dots(r-CDs)were stemmed from malonate,ethylenediamine and meso-tetra(4-carboxyphenyl)porphin based o...
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In present work,blue carbon dots(b-CDs)were derived from ammonium citrate and guanidine hydrochloride,and red carbon dots(r-CDs)were stemmed from malonate,ethylenediamine and meso-tetra(4-carboxyphenyl)porphin based on facile hydrothermal ***-friendly ratiometric fluorescence probe was innovatively constructed to effectively measure Hg2+utilizing b-CDs and *** developed probe displayed two typical emission peaks at 450 nm from b-CDs and 650 nm from r-CDs under the excitation at 360 *** ion has strong quenching effect on the fluorescence intensity at 450 nm due to the electron transfer process and the fluorescence change at 450 nm was used as the response signal,whereas the fluorescence intensity at 650 nm kept unchangeable which resulted from the chemical inertness between Hg^(2+)and r-CDs,serving as the reference signal in the sensing *** optimal circumstances,this probe exhibited an excellent linearity between the fluorescence response values of F450/F650 and Hg^(2+)concentrations over range of 0.01-10μmol/L,and the limit of detectionwas down to 5.3 nmol/***,this probe was successfully employed for sensing Hg^(2+)in practical environmental water samples with satisfied recoveries of 98.5%-105.0%.The constructed ratiometric fluorescent probe provided a rapid,environmental-friendly,reliable,and efficient platform for measuring trace Hg^(2+)in environmental field.
With the increasing severity of arsenic(As)pollution,quantifying the environmental behavior of pollutant based on numerical model has become an important approach to determine the potential impacts and finalize the pr...
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With the increasing severity of arsenic(As)pollution,quantifying the environmental behavior of pollutant based on numerical model has become an important approach to determine the potential impacts and finalize the precise control *** the industrialintensive Jinsha River Basin as typical area,a two-dimensional hydrodynamic water quality model coupled with Soil andWater Assessment Tool(SWAT)model was developed to accurately simulate the watershed-scale distribution and transport of As in the terrestrial and aquatic environment at high spatial and temporal *** effects of hydro-climate change,hydropower station construction and non-point source emissions on Aswere quantified based on the coupled *** result indicated that higher As concentration areas mainly centralized in urban districts and concentration slowly decreased from upstream to *** to the enhanced rainfall,the As concentration was significantly higher during the rainy season than the dry ***-climate change and the construction of hydropower station not only affected the dissolved As concentration,but also affected the adsorption and desorption of As in ***,As concentration increased with the input of non-point source pollution,with the maximum increase about 30%,resulting that non-point sources contributed important pollutant impacts to *** coupled model used in pollutant behavior analysis is generalwith high potential application to predict and mitigate water pollution.
Precise polyp segmentation is vital for the early diagnosis and prevention of colorectal cancer(CRC)in clinical ***,due to scale variation and blurry polyp boundaries,it is still a challenging task to achieve satisfac...
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Precise polyp segmentation is vital for the early diagnosis and prevention of colorectal cancer(CRC)in clinical ***,due to scale variation and blurry polyp boundaries,it is still a challenging task to achieve satisfactory segmentation performance with different scales and *** this study,we present a novel edge-aware feature aggregation network(EFA-Net)for polyp segmentation,which can fully make use of cross-level and multi-scale features to enhance the performance of polyp ***,we first present an edge-aware guidance module(EGM)to combine the low-level features with the high-level features to learn an edge-enhanced feature,which is incorporated into each decoder unit using a layer-by-layer ***,a scale-aware convolution module(SCM)is proposed to learn scale-aware features by using dilated convolutions with different ratios,in order to effectively deal with scale ***,a cross-level fusion module(CFM)is proposed to effectively integrate the cross-level features,which can exploit the local and global contextual ***,the outputs of CFMs are adaptively weighted by using the learned edge-aware feature,which are then used to produce multiple side-out segmentation *** results on five widely adopted colonoscopy datasets show that our EFA-Net outperforms state-of-the-art polyp segmentation methods in terms of generalization and *** implementation code and segmentation maps will be publicly at https://***/taozh2017/EFANet.
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