Convolutional-deconvolution networks can be adopted to perform end-to-end saliency detection. But, they do not work well with objects of multiple scales. To overcome such a limitation, in this work, ...we propose a recurrent attentional convolutional-deconvolution network (RACDNN). Using spatial transformer and recurrent network units, RACDNN is able to iteratively attend to selected image sub-regions to perform saliency refinement progressively. Besides tackling the scale problem, RACDNN can also learn context-aware features from past iterations to enhance saliency refinement in future iterations. Experiments on several challenging saliency detection datasets validate the effectiveness of RACDNN, and show that RACDNN outperforms state-of-the-art saliency detection methods.
This study employs SWOT and PEST analyses to examine the sports market by identifying internal strengths and weaknesses alongside external opportunities and threats. It integrates these findings with ...contextual environmental factors—political, economic, social, and technological—to strategically plan marketing approaches. The paper further explores the implementation of personalized recommendation algorithms to analyze sports marketing data and customer value trends, establishing dual promotional strategies for products. This entails comprehensive data analysis concerning the accuracy, coverage, and novelty of personalized product recommendations. The empirical results highlight significant growth in China’s sports market, which expanded from 0.74 million participants in 2014 to 133 million in 2023. Notably, in 2023, the per capita economic contribution in Beijing soared to 99,986 yuan, reflecting the burgeoning potential of the sports market in response to economic development. The study identifies robust national policy support as a critical competitive advantage, scoring 13 points. At the same time, the level of competition and external impacts from other domestic and international industries pose significant threats, receiving a threat assessment score of 12. Additionally, it was found that residents of first-tier cities exhibit a stronger preference for sports, suggesting targeted pricing strategies for sports products around 1,000 RMB to align with market dynamics.
This paper combines the actual situation of security management in colleges and universities, and analyzes the demand for security innovative management platform in colleges and universities to ...facilitate teachers and students to live happily and research in a comfortable and modernized campus. According to the different functionality, the innovative campus system can be divided into the 3D campus roaming navigation module based on VR technology, the intelligent attendance module based on the combination of convolutional neural network and face recognition, and the induced parking module based on ant colony algorithm. The structure of each module and the operation process are all described in detail. Simulation experiment analysis is used empirically to analyze the intelligent campus management platform. The results show that the method of this paper has an average pass rate of about 89.55% for a given number of vehicles, and compared with the pre-optimization period, the waiting time for parking has been reduced by 19.5%, with an optimization rate range of 72.37%. Even after the optimization of the method in this paper can not wholly avoid the parking wait, but it can reduce the parking wait time, which for the parking lot, can ease the parking congestion in the peak time. The theoretical guidance provided by this study is used to construct a more brilliant campus, promoting the development of security and intelligent management in colleges and universities.
By decomposing the visual tracking task into two subproblems as classification for pixel category and regression for object bounding box at this pixel, we propose a novel fully convolutional Siamese ...network to solve visual tracking end-to-end in a per-pixel manner. The proposed framework SiamCAR consists of two simple subnetworks: one Siamese subnetwork for feature extraction and one classification-regression subnetwork for bounding box prediction. Different from state-of-the-art trackers like Siamese-RPN, SiamRPN++ and SPM, which are based on region proposal, the proposed framework is both proposal and anchor free. Consequently, we are able to avoid the tricky hyper-parameter tuning of anchors and reduce human intervention. The proposed framework is simple, neat and effective. Extensive experiments and comparisons with state-of-the-art trackers are conducted on challenging benchmarks including GOT-10K, LaSOT, UAV123 and OTB-50. Without bells and whistles, our SiamCAR achieves the leading performance with a considerable real-time speed. The code is available at https://github.com/ohhhyeahhh/SiamCAR.
Ni/Cu-cocatalyzed decarbonylative silylation of acyl fluorides with silylboranes has been developed to afford various arylsilanes with high efficiency and good functional-group compatibility
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...carbon-fluorine bond cleavage and carbon-silicon bond formation. Such transformation can not only extend the functionalization type of acyl fluorides but complement the synthetic route for arylsilanes.
A transformation of acyl fluorides with silylboron
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nickel/copper-cocatalysed carbon-fluorine bond cleavage and a sequential decarbonylation, which provides an efficient protocol to functionalize arylsilanes, has been disclosed.
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•Damage occurred primarily in austenite during the incubation stage.•Slip bands and strain-induced martensite were the main reasons for damage.•Brittle ferrite fracture dominated ...erosion after the incubation stage.•One hour of exposure induced a more compact passive film.
Z3CN20–09M stainless steel, a candidate material for coolant pump shells, experiences cavitation erosion (CE) in nuclear reactor service. Z3CN20–09M steel's CE behavior is studied using scanning electron microscopy, transmission electron microscopy, electron back-scatter diffraction, and optical profilometry. The influence of CE on corrosion resistance is analyzed through potentiodynamic polarization tests and time-of-flight secondary ion mass spectrometry. During the incubation stage, damage occurs primarily in austenite. A higher Taylor factor increases the CE. Slip bands and strain-induced martensite are the main reasons for damage. After the incubation stage, brittle ferrite fracture dominates, which induces large grooves and holes. One hour of exposure improves the corrosion resistance. Slip bands, strain-induced martensite, and stacking faults provide diffusion paths for the Cr and O atoms to form a more compact passive film. Finally, approaches aiming to improve the CE resistance of Z3CN20–09M steel are suggested.
Ni-catalyzed decarbonylative cyanation of acyl chlorides with trimethylsilyl cyanide has been achieved. This transformation is applicable to the synthesis of an array of nitrile compounds bearing a ...wide range of functional groups under neutral conditions. The step-by-step experimental studies revealed that the reaction sequences of the present catalytic reaction are oxidative addition, transmetalation, decarbonylation, and reductive elimination.
An understanding of the cavitation erosion behavior and mechanisms of high‑nitrogen austenitic stainless steel is of interest for scientific and economic reasons. The original microstructure of ...18Mn18Cr0.6 N steel was examined using electron backscatter diffraction analysis. Specimens were eroded using an ultrasonic cavitation erosion facility. The damaged surfaces were observed using scanning electron microscopy. Coherent Σ3 boundaries had the worst cavitation erosion resistance; the cavitation damage was located primarily at the same sides of the twins with a low Taylor factor. The cavitation erosion resistance decreased in the order: random high-angle grain boundaries and Σ27 boundaries; incoherent Σ3 boundaries; Σ9 boundaries; and coherent Σ3 boundaries. The Taylor factor was important in the analyses of metal material cavitation erosion. A large difference between the two grains or twins in the Taylor factor yielded a higher cracking risk of the boundary between them. Grain rotation led to a step formation at a boundary and the cavitation damage was accelerated. Three types of cavitation erosion were identified. A cavitation mechanism model for coherent Σ3 boundaries was proposed. Finally, the design of grain-boundary characteristics to improve the cavitation erosion resistance was discussed.
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•The cavitation erosion resistances of different boundaries were analyzed.•Erosion damage was located mainly on grains and twins with low Taylor factors.•A cavitation mechanism model for coherent Σ3 boundaries was proposed.•The design of grain-boundary characteristics was discussed.
This paper aims to build robust feature descriptors by exploring intensity order information in a patch. To this end, the local intensity order pattern (LIOP) and the overall intensity order pattern ...(OIOP) are proposed to effectively encode intensity order information of each pixel in different aspects. Specifically, LIOP captures the local ordinal information by using the intensity relationships among all the neighbouring sampling points around a pixel, while OIOP exploits the coarsely quantized overall intensity order of these sampling points. These two kinds of patterns are then separately aggregated into different ordinal bins, leading to two kinds of feature descriptors. Furthermore, as these two kinds of descriptors could encode complementary ordinal information, they are combined together to obtain a discriminative and compact mixed intensity order pattern descriptor. All these descriptors are constructed on the basis of relative relationships of intensities in a rotationally invariant way, making them be inherently invariant to image rotation and any monotonic intensity changes. Experimental results on image matching and object recognition are encouraging, demonstrating the superiorities of our descriptors over the state of the art.
The rechargeable Zn–air batteries as an environmentally friendly sustainable energy technology have been extensively studied. However, it is still a challenge to develop non-noble metal bifunctional ...catalysts with high oxygen reduction as well as oxygen evolution reaction (ORR and OER) activity and superior durability, which limit the large-scale application of rechargeable Zn–air batteries. Herein, we synthesized an ultrastable FeCo bifunctional oxygen electrocatalyst on Se-doped CNTs (FeCo/Se-CNT) via a gravity guided chemical vapor deposition (CVD) strategy. The catalyst exhibits excellent ORR (E 1/2 = 0.9 V) and OER (overpotential at 10 mA cm–2 = 340 mV) properties simultaneously, surpassing commercial Pt/C and RuO2/C catalysts. More importantly, the catalyst shows an unordinary stability, that is, is no obvious decrease after 30K cycles accelerated durability test for ORR and OER processes. The small potential gap (0.75 V) represents superior bifunctional ORR and OER activities of the FeCo/Se-CNT catalyst. The FeCo/Se-CNT catalyst possesses outstanding electrochemical performance for the rechargeable liquid and flexible all-solid-state Zn–air batteries, for example, a high open circuit voltage (OCV) and peak power density of 1.543 and 1.405 V and 173.4 and 37.5 mW cm–2, respectively.
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