The removal of ammonia nitrogen(NH_(4)^(+)-N)and bacteria from aquaculture wastewater holds paramount ecological and production *** this study,Pt/RuO_(2)/g-C_(3)N_(4)photocatalysts were prepared by depositing Pt and R...
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The removal of ammonia nitrogen(NH_(4)^(+)-N)and bacteria from aquaculture wastewater holds paramount ecological and production *** this study,Pt/RuO_(2)/g-C_(3)N_(4)photocatalysts were prepared by depositing Pt and RuO_(2)particles onto g-C_(3)N_(4).The physicochemical properties of photocatalysts were explored by X-ray photoelectron spectroscopy(XPS),scanning electron microscopy(SEM),X-ray diffraction(XRD),and UV–vis diffuse reflectance spectrometer(UV–vis DRS).The photocatalysts were then applied to the removal of both NH_(4)^(+)-N and bacteria from simulated mariculture *** results clarified that the removals of both NH_(4)^(+)-N and bacteria were in the sequence of g-C_(3)N_(4)
This work investigated the microstructure,magnetic properties,and crystallization kinetics of the as-spun and annealed alloy ribbons of(Fe_(40-x)Co_xNi_(40)Si_(6.33)B_(12.66)Cu_1)_(0.97)Nb_(0.03),where x=0,6,7,8,9,pre...
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This work investigated the microstructure,magnetic properties,and crystallization kinetics of the as-spun and annealed alloy ribbons of(Fe_(40-x)Co_xNi_(40)Si_(6.33)B_(12.66)Cu_1)_(0.97)Nb_(0.03),where x=0,6,7,8,9,prepared using the meltspinning *** results show that adding a moderate amount of Co can improve the glass forming ability(GFA),the first peak crystallization temperature,and thermal stability of the as-spun alloy *** x=7,the two-stage crystallization temperature interval△Tx=90 exhibits optimal thermal stability,and the alloy annealed at 673 K for 10 minutes shows the favorable combined magnetic properties,with H_(c)=0.12 A/m,M_(s)=88.7 A·m^(2)/kg,andμ_(e)=*** magnetic domain results show that annealing removes numerous pinning points in the magnetic domains of the alloy ribbons,making the domain walls smoother and effectively reducing the pinning effect.
We propose a suite of strategies for the parallel solution of fully implicit monolithic fluid-structure interaction(FSI).The solver is based on a modeling approach that uses the velocity and pressure as the primitive ...
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We propose a suite of strategies for the parallel solution of fully implicit monolithic fluid-structure interaction(FSI).The solver is based on a modeling approach that uses the velocity and pressure as the primitive variables,which offers a bridge between computational fluid dynamics(CFD)and computational structural *** spatiotemporal discretization leverages the variational multiscale formulation and the generalized-αmethod as a means of providing a robust discrete *** particular,the time integration scheme does not suffer from the overshoot phenomenon and optimally dissipates high-frequency spurious modes in both subproblems of *** on the chosen fully implicit scheme,we systematically develop a combined suite of nonlinear and linear solver *** a block factorization of the Jacobian matrix,the Newton-Raphson procedure is reduced to solving two smaller linear systems in the multi-corrector *** first is of the elliptic type,indicating that the algebraic multigrid method serves as a well-suited *** second exhibits a two-by-two block structure that is analogous to the system arising in *** by prior studies,the additive Schwarz domain decomposition method and the block-factorization-based preconditioners are invoked to address the linear *** the number of unknowns matches in both subdomains,it is straightforward to balance loads when parallelizing the algorithm for distributed-memory *** use two representative FSI benchmarks to demonstrate the robustness,efficiency,and scalability of the overall FSI solver *** particular,it is found that the developed FSI solver is comparable to the CFD solver in several aspects,including fixed-size and isogranular scalability as well as robustness.
Label distribution learning(LDL) has shown advantages over traditional single-label learning(SLL) in many realworld applications, but its superiority has not been theoretically understood. In this paper, we attempt to...
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Label distribution learning(LDL) has shown advantages over traditional single-label learning(SLL) in many realworld applications, but its superiority has not been theoretically understood. In this paper, we attempt to explain why LDL generalizes better than SLL. Label distribution has rich supervision information such that an LDL method can still choose the sub-optimal label from label distribution even if it neglects the optimal one. In comparison, an SLL method has no information to choose from when it fails to predict the optimal label. The better generalization of LDL can be credited to the rich information of label distribution. We further establish the label distribution margin theory to prove this explanation; inspired by the theory,we put forward a novel LDL approach called LDL-LDML. In the experiments, the LDL baselines outperform the SLL ones, and LDL-LDML achieves competitive performance against existing LDL methods, which support our explanation and theories in this paper.
Background: Epilepsy is a neurological disorder that leads to seizures. This occurs due to excessive electrical discharge by the brain cells. An effective seizure prediction model can aid in improving the lifestyle of...
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Narrow-band red phosphors excited by near-ultraviolet light (n-UV) are significant for enhancing the R9 index and can produce high color rendering white LEDs. A range of KSr1-x-yCayPO4:xEu3+ red phosphors were synthes...
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The reactions of K_(5)Pn_(4)(Pn=Sb and Bi)and CpRh(PPh_(3))_(2)(Cp=C_(5)H_(5),cyclopentadiene)in ethylenediamine(en)solutions resulted in a series of new Pn_(7)^(3−)−adducts,{Pn_(8)[Rh(PPh_(3))]_(2)}^(2−),{Sb_(7)[Rh(P...
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The reactions of K_(5)Pn_(4)(Pn=Sb and Bi)and CpRh(PPh_(3))_(2)(Cp=C_(5)H_(5),cyclopentadiene)in ethylenediamine(en)solutions resulted in a series of new Pn_(7)^(3−)−adducts,{Pn_(8)[Rh(PPh_(3))]_(2)}^(2−),{Sb_(7)[Rh(PPh_(3))]_(2)}^(2)−,and{Sb_(7)[Rh(PPh_(3))]_(3)}^(2−),through slight variations in reaction *** clusters represent rare electron-deficient group 15 polyhedral clusters comprising Pn_(7)^(3−)−with RhPPh3 units in anη^(5)coordination ***,the anionic clusters{Sb_(8)[Rh(PPh_(3))]_(2)}^(2−),{Sb_(7)[Rh(PPh_(3))]_(2)}^(2−),and{Sb_(7)[Rh(PPh_(3))]_(3)}^(2−)are the first Rh-Sb binary Zintl clusters to *** synthesis,structure,and bonding of these new deltahedral hybrids were studied for the first time,revealing a highly versatile chemistry associated with classical Pn_(7)^(3−)−cages and offering a pathway to prepare polyhedral hybrid clusters based on Pn_(7)^(3−)−cages.
Image tampering detection and localization have emerged as a critical domain in combating the pervasive issue of image manipulation due to the advancement of the large-scale availability of sophisticated image editing...
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Image tampering detection and localization have emerged as a critical domain in combating the pervasive issue of image manipulation due to the advancement of the large-scale availability of sophisticated image editing *** manual forgery localization is often reliant on forensic *** recent times,machine learning(ML)and deep learning(DL)have shown promising results in automating image forgery ***,the ML-based method relies on hand-crafted ***,the DL method automatically extracts shallow spatial features to enhance the ***,DL-based methods lack the global co-relation of the features due to this performance degradation noticed in several *** the proposed study,we designed FLTNet(forgery localization transformer network)with a CNN(convolution neural network)encoder and transformer-based *** encoder extracts local high-dimensional features,and the transformer provides the global co-relation of the *** the decoder,we have exclusively utilized a CNN to upsample the features that generate tampered mask ***,we evaluated visual and quantitative performance on three standard datasets and comparison with six state-of-the-art *** IoU values of the proposed method on CASIA V1,CASIA V2,and CoMoFoD datasets are 0.77,0.82,and 0.84,*** addition,the F1-scores of these three datasets are 0.80,0.84,and 0.86,***,the visual results of the proposed method are clean and contain rich information,which can be used for real-time forgery *** code used in the study can be accessed through URL:https://***/ajit2k5/Forgery-Localization(accessed on 21 January 2025).
In response to inquiries posed in natural languages, question-answering systems (QASs) produce responses. The capabilities of early QASs are limited because they were designed for certain domains. The current generati...
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We report ∼3.5 µm watt-level continuous-wave (CW) and gain-switched all-fiber Er3+: ZBLAN lasers using multi-color dielectric fiber mirrors (DFMs). A section of 1 mol.% Er3+: ZBLAN double-clad fiber with the 976...
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