This study thoroughly examines the intricate relationship between innovation culture, open technology innovation, and high-tech enterprise performance, emphasizing the integration of deep learning ...technology. Utilizing a comprehensive methodology, including rigorous research and advanced analytical tools such as regression analysis, structural equation modeling, and deep learning models, we aim to validate theoretical assumptions concerning these relationships. Our findings uncover a significant correlation between corporate culture and technological innovation performance, highlighting the pivotal role of open technological innovation in elevating the overall innovation capability of enterprises. Furthermore, the incorporation of deep learning technology significantly enhances the precision and dependability of our analysis. The study also demonstrates that effective collaboration among employees from various departments and cooperation with both internal and external stakeholders fosters creativity, technical proficiency, and overall innovation performance. Relational capital drives resource integration, proven to be a crucial enabling factor in acquiring vital technology and market insights, facilitating employee interactions, accelerating knowledge exchange, and ultimately enhancing innovation outcomes. In conclusion, this study offers invaluable insights into the complex interplay between innovation culture, open technology innovation, and the performance of high-tech enterprises.
The irregular domain and lack of ordering make it challenging to design deep neural networks for point cloud processing. This paper presents a novel framework named
Point Cloud Transformer
(PCT) for ...point cloud learning. PCT is based on Transformer, which achieves huge success in natural language processing and displays great potential in image processing. It is inherently permutation invariant for processing a sequence of points, making it well-suited for point cloud learning. To better capture local context within the point cloud, we enhance input embedding with the support of farthest point sampling and nearest neighbor search. Extensive experiments demonstrate that the PCT achieves the state-of-the-art performance on shape classification, part segmentation, semantic segmentation, and normal estimation tasks.
Attention mechanisms, especially self-attention, have played an increasingly important role in deep feature representation for visual tasks. Self-attention updates the feature at each position by ...computing a weighted sum of features using pair-wise affinities across all positions to capture the long-range dependency within a single sample. However, self-attention has quadratic complexity and ignores potential correlation between different samples. This article proposes a novel attention mechanism which we call external attention , based on two external, small, learnable, shared memories, which can be implemented easily by simply using two cascaded linear layers and two normalization layers; it conveniently replaces self-attention in existing popular architectures. External attention has linear complexity and implicitly considers the correlations between all data samples. We further incorporate the multi-head mechanism into external attention to provide an all-MLP architecture, external attention MLP (EAMLP), for image classification. Extensive experiments on image classification, object detection, semantic segmentation, instance segmentation, image generation, and point cloud analysis reveal that our method provides results comparable or superior to the self-attention mechanism and some of its variants, with much lower computational and memory costs.
Humans can naturally and effectively find salient regions in complex scenes. Motivated by this observation, attention mechanisms were introduced into computer vision with the aim of imitating this ...aspect of the human visual system. Such an attention mechanism can be regarded as a dynamic weight adjustment process based on features of the input image. Attention mechanisms have achieved great success in many visual tasks, including image classification, object detection, semantic segmentation, video understanding, image generation, 3D vision, multimodal tasks, and self-supervised learning. In this survey, we provide a comprehensive review of various attention mechanisms in computer vision and categorize them according to approach, such as channel attention, spatial attention, temporal attention, and branch attention; a related repository
https://github.com/MenghaoGuo/Awesome-Vision-Attentions
is dedicated to collecting related work. We also suggest future directions for attention mechanism research.
•Novel 3D AuxHex lattice structures are proposed with zero Poisson's ratio and fabricated via 3D printing.•The 3D AuxHex lattice has better energy absorption compared with re-entrant structure with ...the same relative density.•Functionally graded AuxHex lattices are used to control the stress-strain curves and improve energy absorption performances.•Hybrid stable AuxHex lattices are developed with enhanced plateau stress and energy absorption efficiency.
In this paper, a novel three dimensional (3D) AuxHex lattice structure consisting of auxetic re-entrant and hexagonal components is proposed. Theoretical models of elastic constants and quasi-static plateau stress are established which indicate that the AuxHex lattice structures have zero Poisson's ratio and better energy absorption capacity than traditional auxetic re-entrant cellular structures. Numerical simulation is also used to study the mechanical properties of 3D AuxHex lattice structures, which presents good agreements with theoretical models. The experimental specimens are fabricated via 3D printing technique and the compression tests are also carried out to validate the accuracy of theoretical models and numerical simulations. To overcome the problem of unstable quasi-static crushing of 3D AuxHex structures with thin struts (low relative density), the hybrid stable AuxHex lattice (HSAL) structure is designed by inserting auxiliary structure to AuxHex lattice to make the AuxHex structures more stable and obtain higher energy absorption efficiency. The influence of material gradient index is investigated numerically, which shows the positive and negative gradients have different effects on the energy absorption behavior under various loading conditions.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Sirtuin 3 (SIRT3) is a potential therapeutic target for cardiovascular, metabolic, and other aging-related diseases. In this study, we investigated the role of SIRT3 in diabetic cardiomyopathy (DCM). ...Mice were injected with streptozotocin (STZ, 60 mg/kg, ip) to induce diabetes mellitus. Our proteomics analysis revealed that SIRT3 expression in the myocardium of diabetic mice was lower than that of control mice, as subsequently confirmed by real-time PCR and Western blotting. To explore the role of SIRT3 in DCM, SIRT3-knockout mice and 129S1/SvImJ wild-type mice were injected with STZ. We found that diabetic mice with SIRT3 deficiency exhibited aggravated cardiac dysfunction, increased lactate dehydrogenase (LDH) level in the serum, decreased adenosine triphosphate (ATP) level in the myocardium, exacerbated myocardial injury, and promoted myocardial reactive oxygen species (ROS) accumulation. Neonatal rat cardiomyocytes were transfected with SIRT3 siRNA, then exposed to high glucose (HG, 25.5 mM). We found that downregulation of SIRT3 further increased LDH release, decreased ATP level, suppressed the mitochondrial membrane potential, and elevated oxidative stress in HG-treated cardiomyocytes. SIRT3 deficiency further raised expression of necroptosis-related proteins including receptor-interacting protein kinase 1 (RIPK1), RIPK3, and cleaved caspase 3, and upregulated the expression of inflammation-related proteins including NLR family pyrin domain-containing protein 3 (NLRP3), caspase 1 p20, and interleukin-1β both in vitro and in vivo. Collectively, SIRT3 deficiency aggravated hyperglycemia-induced mitochondrial damage, increased ROS accumulation, promoted necroptosis, possibly activated the NLRP3 inflammasome, and ultimately exacerbated DCM in the mice. These results suggest that SIRT3 can be a molecular intervention target for the prevention and treatment of DCM.
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EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
In this study, two dimensional double-U auxetic honeycombs (2D DUHs) composed of curved shell members have been proposed based on traditional double-V (concave quadrilateral or re-entrant ...double-arrowhead) auxetic honeycombs (2D DVHs). Theoretical analysis, numerical simulation and compression experiments are adopted to characterize the mechanical properties including equivalent Young's modulus, equivalent Poisson's ratio, and quasi-static collapse process of 2D DVHs and DUHs. Specimens of the 2D DUHs and DVHs made of Aluminum alloy (A6061) are fabricated through wire cut electrical discharge machining. Both numerical and experimental results illustrate that concave DUHs exhibit tunable negative Poisson's ratio and equivalent stiffness level compared to DVHs. Furthermore, DUHs have smooth geometry configurations that can reduce stress concentration at elastic region and exhibit stronger auxetic behavior during large deformation. Those mechanical properties of 2D DUHs satisfy the requirements for practical engineering applications such as energy absorption. The dynamic crushing responses of 2D DVHs and DUHs are also investigated, and it is found that the crushing collapse modes and plateau stress improvement of 2D DUHs are related to the crushing velocity. Finally, the local impact responses of 2D DVHs and DUHs are studied numerically, the influences of impact velocity and indenter size are considered. This study provides useful instructions for the design, fabrication and analysis of auxetic structures, which has a broad prospect in some advanced technical applications.
•2D double-U auxetic honeycombs are proposed based on traditional double-V auxetic honeycombs.•DUHs exhibit tunable Poisson's ratio and have equivalent stiffness and strength level compared to DVHs.•DUHs have smooth structural connections that can reduce stress concentration and manufacturing damage.•DUHs present stronger auxetic behavior which leading to better load resistance and energy absorbing capacity.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
We developed hydroxysulfurization and alkoxysulfurization of styrenes using a visible‐light synthetic strategy in the absence of photocatalyst and oxidant. This strategy provided the corresponding ...β‐hydroxysulfides and β‐alkoxysulfides in moderate to good yields with high regioselectivity. The reaction was tolerated by a wide range of functional groups. This is the first example of ArSSAr/CBr4 system has been introduced into organic transformation.
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BFBNIB, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SBCE, SBMB, UL, UM, UPUK
An aerobic coupling of benzhydryl phosphonium salts with simple alkenes for accessing trisubstituted olefins is developed under metal‐free, catalyst‐free, and additive‐free conditions. New ...C(sp3)−C(sp2) bond is constructed via the C−P and C−H bond functionalization by synergistically using O2 as a “green” oxidant and DMSO as a promoter. The method also distinguishes itself by its broad substrate scope and synthetic potential. Particularly, the use of 1,3,5‐trimethoxybenzene fragment in the resulting products as a carbon‐based leaving group for further transformations is proved to be feasible.
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BFBNIB, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SBCE, SBMB, UL, UM, UPUK
Wetlands are some of the most important ecosystems on Earth. They play a key role in alleviating floods and filtering polluted water and also provide habitats for many plants and animals. Wetlands ...also interact with climate change. Over the past 50 years, wetlands have been polluted and declined dramatically as land cover has changed in some regions. Remote sensing has been the most useful tool to acquire spatial and temporal information about wetlands. In this paper, seven types of sensors were reviewed: aerial photos coarse-resolution, medium-resolution, high-resolution, hyperspectral imagery, radar, and Light Detection and Ranging (LiDAR) data. This study also discusses the advantage of each sensor for wetland research. Wetland research themes reviewed in this paper include wetland classification, habitat or biodiversity, biomass estimation, plant leaf chemistry, water quality, mangrove forest, and sea level rise. This study also gives an overview of the methods used in wetland research such as supervised and unsupervised classification and decision tree and object-based classification. Finally, this paper provides some advice on future wetland remote sensing. To our knowledge, this paper is the most comprehensive and detailed review of wetland remote sensing and it will be a good reference for wetland researchers.
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IZUM, KILJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
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