26 research outputs found

    Apoptosis and autophagy of muscle cell during pork postmortem aging

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    Objective Pork is an important source of animal protein in many countries. Subtle physiochemical changes occur during pork postmortem aging. The changes of apoptosis and autophagy in pork at 6 h to 72 h after slaughter were studied to provide evidence for pork quality. Methods In this article, morphological changes of postmortem pork was observed through Hematoxylin-eosin staining, apoptotic nuclei were observed by TdT-mediated dUTP nick end labeling assay, protein related to apoptosis and autophagy expressions were tested by western blot and LC3 level were expressed according to immunofluorescence assay. Results In this study, we found the occurrence of apoptosis in postmortem pork, and the process was characterized by nucleus condensation and fragmentation, formation of apoptotic bodies, increase in apoptosis-related Bax/Bcl-2 levels, and activation of caspases. Autophagy reached its peak between 24 and 48 h after slaughter, accompanied by the formation of autophagosomes on the cell membrane and expression of autophagy-related proteins beclin-1, P62, LC3-I, LC3-II, and ATG5. Conclusion Obvious apoptosis was observed at 12 h and autophagy reached its peak at 48 h. The present work provides the evidence for the occurrence of apoptosis and autophagy during postmortem aging of pork. In conclusion, the apoptosis and autophagy of muscle cells discovered in this study have important implications for pork in the meat industry

    SoccerNet 2023 Challenges Results

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    peer reviewedThe SoccerNet 2023 challenges were the third annual video understanding challenges organized by the SoccerNet team. For this third edition, the challenges were composed of seven vision-based tasks split into three main themes. The first theme, broadcast video understanding, is composed of three high-level tasks related to describing events occurring in the video broadcasts: (1) action spotting, focusing on retrieving all timestamps related to global actions in soccer, (2) ball action spotting, focusing on retrieving all timestamps related to the soccer ball change of state, and (3) dense video captioning, focusing on describing the broadcast with natural language and anchored timestamps. The second theme, field understanding, relates to the single task of (4) camera calibration, focusing on retrieving the intrinsic and extrinsic camera parameters from images. The third and last theme, player understanding, is composed of three low-level tasks related to extracting information about the players: (5) re-identification, focusing on retrieving the same players across multiple views, (6) multiple object tracking, focusing on tracking players and the ball through unedited video streams, and (7) jersey number recognition, focusing on recognizing the jersey number of players from tracklets. Compared to the previous editions of the SoccerNet challenges, tasks (2-3-7) are novel, including new annotations and data, task (4) was enhanced with more data and annotations, and task (6) now focuses on end-to-end approaches. More information on the tasks, challenges, and leaderboards are available on https://www.soccer-net.org. Baselines and development kits can be found on https://github.com/SoccerNet

    Physics-Informed Neural Networks for Solving Coupled Stokes–Darcy Equation

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    In this paper, a grid-free deep learning method based on a physics-informed neural network is proposed for solving coupled Stokes–Darcy equations with Bever–Joseph–Saffman interface conditions. This method has the advantage of avoiding grid generation and can greatly reduce the amount of computation when solving complex problems. Although original physical neural network algorithms have been used to solve many differential equations, we find that the direct use of physical neural networks to solve coupled Stokes–Darcy equations does not provide accurate solutions in some cases, such as rigid terms due to small parameters and interface discontinuity problems. In order to improve the approximation ability of a physics-informed neural network, we propose a loss-function-weighted function strategy, a parallel network structure strategy, and a local adaptive activation function strategy. In addition, the physical information neural network with an added strategy provides inspiration for solving other more complicated problems of multi-physical field coupling. Finally, the effectiveness of the proposed strategy is verified by numerical experiments

    A critical study of the love theme plays of the Yuan dynasty, 1279-1368

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    published_or_final_versionChineseMasterMaster of Philosoph

    Community Environment Co-Production and Environmental Satisfaction of Older Urban Residents in Shanghai, China

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    Objective: Many factors may affect the environmental satisfaction of elderly people, including their sense of involvement. This study examined the associations between community environment co-production and environmental satisfaction in older urban residents in China. Methods: A cross-sectional survey was conducted in four age-friendly communities in Shanghai, China. Co-production and environmental satisfaction were assessed through a self-developed questionnaire. General health status was measured through the EuroQol-Visual Analogue Scale (EQ-VAS). Data on affective commitment for the community demographic and health-related factors were also collected. Multilevel linear regression was used to detect the associations. Results: In total, 480 older urban residents completed the survey. On average, the environment satisfaction score was 76.82/90, 8/10 for co-production, and 87.5/100 for EQ-VAS. Univariate analysis demonstrated environmental satisfaction was associated with educational background, party membership, physical activity, community location, age, sleep hours, co-production, affective commitment, and EQ-VAS. After controlling for confounding factors, the co-production score was significantly associated with higher environmental satisfaction (β = 4.68, p < 0.001). Multiple linear regression revealed that effective commitment for the community (β = 6.17, p < 0.001) and EQ-VAS (β = 0.06, p = 0.002) were also significantly associated with environment satisfaction. Conclusion: Community environment co-production was positively associated with environmental satisfaction among older urban residents in Shanghai. Environmental co-production should be encouraged when developing age-friendly communities for the elderly

    The corrosion inhibition efficiency of aluminum tripolyphosphate on carbon steel in carbonated concrete pore solution

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    The efficiency of aluminum tripolyphosphate (ATP) as inhibiting agents for carbon steel was studied in a carbonated concrete pore solution and mortars, respectively. The polarization resistance of the steel and the resistance of the concrete cover layer significantly increased when the content of ATP in mortars increasing. The electrochemical and surface analysis suggests that the stability of the passive film on carbon steel was enhanced by ATP; a tripolyphosphate adsorbed layer also formed on the surface of the steel. Consequently, the pitting corrosion of the steel was effective hindered by ATP both in the pore solution and mortars

    Cooperative Networking towards Maritime Cyber Physical Systems

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    An innovative paradigm named Cooperative Cognitive Maritime Cyber Physical Systems (CCMCPSs) is developed to achieve high-speed and low-cost communication services. The analysis of the available white space at sea, as well as the framework, is presented. Specifically, a bilevel game with two stages of PUs-to-SUs (primary users to secondary users) and SUs-to-SUs is proposed, to address the resource allocation issue of Decode-and-Forward (DF) relay mode with maximal-ratio combining (MRC) receiving mode in destination. Stackelberg game with priority is employed between PU and SUs, while a symmetrical system model is considered among SUs-to-SUs. The game theoretic procedure that converges to Nash equilibrium based on the utility and payoff function is illustrated. Simulation results demonstrate that our proposed strategy could effectively increase the throughput as well as the payoffs of the system

    Effect of Aluminum Tri-polyphosphate on Corrosion Behavior of Reinforcing Steel in Seawater Prepared Coral Concrete

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    Effect of Aluminum Tri-polyphosphate on Corrosion Behavior of Reinforcing Steel in Seawater Prepared Coral Concret

    Ultrahigh-Gain and Fast Photodetectors Built on Atomically Thin Bilayer Tungsten Disulfide Grown by Chemical Vapor Deposition

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    The low responsivity observed in photodetectors based on monolayer transition-metal dichalcogenides has encouraged the pursuit of approaches that can efficiently enhance the external quantum efficiency, which relies predominantly on the light absorption, the lifetime of the excess carriers, and the charge collection efficiency. Here, we demonstrate that phototransistors fabricated on large-area bilayer tungsten disulfide (WS<sub>2</sub>) grown by chemical vapor deposition exhibit remarkable performance with photoresponsivity, photogain, and detectivity of up to ∼3 × 10<sup>3</sup> A/W, 1.4 × 10<sup>4</sup>, and ∼5 × 10<sup>12</sup> Jones, respectively. These figures of merit of bilayer WS<sub>2</sub> provide a significant advantage over monolayer WS<sub>2</sub> due to the greatly improved carrier mobility and significantly reduced contact resistance. The photoresponsivity of bilayer WS<sub>2</sub> phototransistor can be further improved to up to 1 × 10<sup>4</sup> A/W upon biasing a gate voltage of 60 V, without evident reduction in detectivity. Moreover, the bilayer WS<sub>2</sub> phototransistor exhibits a high response speed of less than 100 μs, large bandwidth of 4 kHz, high cycling reliability of over 10<sup>5</sup> cycles, and spatially homogeneous photoresponse. These outstanding figures of merit make WS<sub>2</sub> bilayer a highly promising candidate for the design of high-performance optoelectronics in the visible regime
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