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Immunological role of chlorogenic acid in broiler intestinal health under chronic heat stress

Poultry Science 2025年第8期104卷

作者： Aftab Shaukat Sana Hanif Rizwan Shukat Muhammad Tahir Aleem Irfan Shaukat Mikhlid H. Almutairi Bader O. Almutairi Mubashar Hassan Shahid Ali Rajput Shu-cheng Huang Kasim Sakran Abass Ren-Wei Su College of Veterinary Medicine South China Agricultural University Guangzhou 510642 China College of Veterinary Medicine Huazhong Agricultural University Wuhan 430070 China Hubei Key Laboratory of Theory and Application of Advanced Materials Mechanics Wuhan University of Technology Wuhan 430070 China Faculty of Food Nutrition & Home Sciences University of Agriculture Faisalabad 38000 Pakistan Department of Pharmacology Shantou University Medical College Shantou 515041 China Department of Biochemistry University of Narowal Narowal 51600 Pakistan Zoology Department College of Science King Saud University P.O. Box: 2455 11451 Riyadh Saudi Arabia Faculty of Veterinary and Animal Sciences MNS-University of Agriculture Multan 66000 Pakistan College of Veterinary Medicine Henan Agricultural University Zhengzhou 450002 China Department of Physiology Biochemistry and Pharmacology； College of Veterinary Medicine； University of Kirkuk； Kirkuk 36001 Iraq

The study aims to investigate the immunological role of chlorogenic acid (CA) on the intestinal health of broiler under chronic heat stress. 240 broilers were randomly divided into 4 groups: control group with a feeding temperature of (22 ± 2) °C, and the other three groups with a feeding temperature of (30 ± 2) °C. The chronic heat stress group (HS group) was fed with the basic diet daily, while the high-dose CA groups (HCA group) and low-dose (LCA group) were supplemented with CA at 600 mg/kg and 300 mg/kg, respectively. The health performance, intestinal antioxidant indicators, inflammatory factors, heat shock proteins, and barrier integrity-related protein expression were tested. The results showed that 600 mg/kg CA in the basic diet was promoted the morphological and cellular performance of intestinal epithelial cells of heat-stressed broilers and significantly increased the ADG (P < 0.05). HCA significantly improved the activity of SOD and CAT in the intestinal tract of heat-stressed broilers (P < 0.05), and significantly reduced the content of peroxides MDA (P < 0.05). HCA significantly inhibited the concentration of IL-1β, IL-6, and TNF-α (P < 0.05), significantly increased the content of IL-10 (P < 0.05). Further, HCA significantly downregulated the proteins and genes expression of HSP27, HSP70, and HSP90 (P < 0.05), and significantly upregulated the proteins and genes expression of Claudin1, Occludin, and ZO-1 (P < 0.05), thereby promoting intestinal barrier integrity. These findings highlight the potential of CA as a functional additive to mitigate the adverse effects of heat stress in poultry production.

关键词： Broiler Chronic heat stress Chlorogenic acid Intestinal barrier Inflammatory factors Heat shock protein

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Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler

arXiv

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arXiv 2023年

作者： Lin, Shaohui Huang, Wenxuan Xie, Jiao Zhang, Baochang Shen, Yunhang Yu, Zhou Han, Jungong Doermann, David The School of Computer Science and Technology East China Normal University Shanghai China The Key Laboratory of Advanced Theory and Application in Statistics and Data Science Ministry of Education China The Department of Automation School of Aerospace Engineering Xiamen University Xiamen China The Institute of Artificial Intelligence Beihang University Beijing China Zhongguancun Laboratory Beijing China The Youtu Lab Tencent Shanghai China The School of Statistics East China Normal University Shanghai China The Department of Computer Science University of Sheffield United Kingdom The University at Buffalo BuffaloNY United States

Filter pruning simultaneously accelerates the computation and reduces the memory overhead of CNNs, which can be effectively applied to edge devices and cloud services. In this paper, we propose a novel Knowledge-driven Differential Filter Sampler (KDFS) with Masked Filter Modeling (MFM) framework for filter pruning, which globally prunes the redundant filters based on the prior knowledge of a pre-trained model in a differential and non-alternative optimization. Specifically, we design a differential sampler with learnable sampling parameters to build a binary mask vector for each layer, determining whether the corresponding filters are redundant. To learn the mask, we introduce masked filter modeling to construct PCA-like knowledge by aligning the intermediate features from the pre-trained teacher model and the outputs of the student decoder taking sampling features as the input. The mask and sampler are directly optimized by the Gumbel-Softmax Straight-Through Gradient Estimator in an end-to-end manner in combination with global pruning constraint, MFM reconstruction error, and dark knowledge. Extensive experiments demonstrate the proposed KDFS’s effectiveness in compressing the base models on various datasets. For instance, the pruned ResNet-50 on ImageNet achieves 55.36% computation reduction, and 42.86% parameter reduction, while only dropping 0.35% Top-1 accuracy, significantly outperforming the state-of-the-art methods. The code is available at https://***/Osilly/KDFS. Copyright © 2023, The Authors. All rights reserved.

关键词： Machine learning

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Stability and Neimark-Sacker bifurcation analysis for single gene discrete system with delay

Stability and Neimark-Sacker bifurcation analysis for single...

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Chinese Control Conference

作者： Feng Liu Qicheng Mei Fenglan Sun Xinmei Wang Hua O. Wang Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China School of Automation China University of Geosciences Wuhan China Research Center of System Theory and Application Chongqing University of Posts and Telecommunications Chongqing China Department of Mechanical Engineering Boston University Boston MA USA

The network structure and functional properties of gene regulatory system and their relationships arc an important research field in systems biology. In this paper, a new improved model is proposed based on the study of gene expression process. The model takes into account the effect of protein concentration on the gene expression, so as to obtain a new bifurcation point and improve the performance of the system. The validity of the model is verified by theoretical analysis and data simulation.

关键词： Mathematical model Proteins Stability analysis Bifurcation Biological system modeling Delays RNA

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Class-Imbalanced Semi-Supervised Learning for Large-Scale Point Cloud Semantic Segmentation Via Decoupling Optimization

SSRN

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SSRN 2023年

作者： Li, Mengtian Lin, Shaohui Wang, Zihan Shen, Yunhang Zhang, Baochang Ma, Lizhuang Visual Media Intelligent Processing Research Group Department of Film and Television Engineering Shanghai University Shanghai200072 China School of Computer Science and Technology East China Normal University Shanghai200062 China Key Laboratory of Advanced Theory and Application in Statistics and Data Science Ministry of Education China School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Youtu Lab Tencent China

Semi-supervised learning (SSL), thanks to the significant reduction of data annotation costs, has been an active research topic for large-scale 3D scene understanding. However, the existing SSL-based methods suffer from severe training bias, mainly due to class imbalance and long-tail distributions of the point cloud data. As a result, they lead to a biased prediction for the tail class segmentation. In this paper, we introduce a new decoupling optimization framework, which disentangles feature representation learning and classifier in an alternative optimization manner to shift the bias decision boundary effectively. In particular, we first employ two-round pseudo-label generation to select unlabeled points across head-to-tail classes. We further introduce multi-class imbalanced focus loss to adaptively pay more attention to feature learning across head-to-tail classes. We fix the backbone parameters after feature learning and retrain the classifier using ground-truth points to update its parameters. Ex-✩Fully documented templates are available in the elsarticle package on CTAN. © 2023, The Authors. All rights reserved.

关键词： Semantic Segmentation

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Studies on unsaturated flow in dual-scale fiber fabrics

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IOP Conference Series: Materials Science and Engineering 2018年第2期322卷

作者： Fei Yan Shilin Yan Yongjing Li Hubei Key Laboratory of Theory and Application of Advanced Materials Mechanics Wuhan University of Technology Wuhan China

Fiber fabrics in liquid composite molding (LCM) can be recognized as a dual-scale structure. As sink theory developed, this unsaturated flow behavior has already been simulated successfully; however, most of simulated results based on a unit cell under ideal status, thus making results were not agreement with experiment. In this study, an experimental method to establish sink function was proposed. After compared the simulation results by this sink function, it shows high accuracy with the experimental data. Subsequently, the key influencing factors for unsaturated flow have been further investigated; results show that the filling time for unsaturated flow was much longer than saturated flow. In addition, the injection pressure and permeability were the key factors lead to unsaturated flow.

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On stochastic control problems with higher-order moments

arXiv

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arXiv 2024年

作者： Wang, Yike Liu, Jingzhen Bensoussan, Alain Yiu, Ka-Fai Cedric Wei, Jiaqin School of Finance Chongqing Technology and Business University Chongqing400067 China China Institute for Actuarial Science Central University of Finance and Economics Beijing100081 China Naveen Jindal School of Management University of Texas at Dallas DallasTX75083 United States Department of Applied Mathematics The Hong Kong Polytechnic University Kowloon Hunghom Hong Kong Key Laboratory of Advanced Theory and Application in Statistics and Data Science MOE School of Statistics East China Normal University Shanghai200241 China

In this paper, we focus on a class of time-inconsistent stochastic control problems, where the objective function includes the mean and several higher-order central moments of the terminal value of state. To tackle the time-inconsistency, we seek both the closed-loop and the open-loop Nash equilibrium controls as time-consistent solutions. We establish a partial differential equation (PDE) system for deriving a closed-loop Nash equilibrium control, which does not include the equilibrium value function and is different from the extended Hamilton-Jacobi-Bellman (HJB) equations as in Björk et al. (Finance Stoch. 21: 331-360, 2017). We show that our PDE system is equivalent to the extended HJB equations that seems difficult to be solved for our higher-order moment problems. In deriving an open-loop Nash equilibrium control, due to the non-separable higher-order moments in the objective function, we make some moment estimates in addition to the standard perturbation argument for developing a maximum principle. Then, the problem is reduced to solving a flow of forward-backward stochastic differential equations. In particular, we investigate linear controlled dynamics and some objective functions affine in the mean. The closed-loop and the open-loop Nash equilibrium controls are identical, which are independent of the state value, random path and the preference on the odd-order central moments. By sending the highest order of central moments to infinity, we obtain the time-consistent solutions to some control problems whose objective functions include some penalty functions for *** Codes Primary: 93E20, 91G80, Secondary: 91B08, 49N90 Copyright © 2024, The Authors. All rights reserved.

关键词： Nash equilibrium

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A Second-Order Time-Accurate, Linearly Fully Decoupled Unconditionally Energy Stable Discontinuous Galerkin Method for Tumor Growth Model

SSRN

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SSRN 2024年

作者： Guo, Penghao Wang, Bo Zou, Guang-An School of Mathematics and Statistics Henan University Kaifeng475004 China Henan Key Laboratory of Earth System Observation and Modeling Henan University Kaifeng475004 China The Academy for Advanced Interdisplinary Studies Henan University Zhengzhou450046 China School of Mathematics and Statistics Henan Engineering Research Center for Artificial Intelligence Theory and Algorithms Henan University Kaifeng475004 China

In this paper, we firstly derive a tumor growth model based on free energy. For this model, the scalar auxiliary variable (SAV) is used to handle the nonlinear term. Combining the second-order backward Euler (BDF2) method and the discontinuous Galerkin (DG) method to discretize the model, we propose a second-order time-accurate, linear, fully decoupled and unconditionally energy stable numerical scheme. After giving the unique solvability, we rigorously prove the unconditional energy stability and optimal error estimates of the scheme. Finally, several numerical experiments are performed to verify the energy stability and validity of the proposed scheme. © 2024, The Authors. All rights reserved.

关键词： Free energy

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Simulation and experimental study of resin flow in fibre fabrics

引用

IOP Conference Series: Materials Science and Engineering 2017年第1期207卷

作者： Fei Yan Shilin Yan Yongjing Li Hubei Key Laboratory of Theory and Application of Advanced Materials Mechanics Wuhan University of Technology Hubei 430000 China

Liquid Composite Moulding (LCM) is gradually becoming the most competitive manufacturing technology for producing large composite parts with complex geometry with high quality and low cost. These parts include those for airplanes, wind turbine blades and automobile components. Fibre fabrics in liquid composite moulding can be considered as dual-scale porous media. In different gap scales, an unsaturated flow is produced during the mould filling process. This particular flow behaviour deviates from the traditional Darcy's law, which is used to calculate the filling pressure and will cause errors. According to sink theory, the unsaturated flow characteristics of this dual-scale porous media were studied in this paper, and a FEM solution program was developed. The results showed that the pressure curves against the position which simulated by sink functions were departure from the position of traditional theory. In addition, the simulation results of partially-saturated region were consistent with the experimental data.

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Experimental studies on SHCC pipe with FRP as lining and reinforcement under three-edge bearing test

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Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) 2017年第5期45卷 127-132页

作者： Hu, Jihong Sun, Mingqing Wang, Yingjun Hubei Key Laboratory of Theory and Application of Advanced Materials Mechanics Wuhan University of Technology Wuhan430070 China Hengrun Group Co. Ltd. HengshuiHebei053100 China

A type of composite pipes called as fiber reinforced plastic with coarse silica coated reinforced strain hardening cementitious composites pipe (FSSHCCP) was proposed. First, fiber reinforced plastic (FRP) as lining was coated with coarse silica sand. Then, strain hardening cementitious composite (SHCC) was cast surrounding the FRP lining. Steel reinforcements were not used in FSSHCCP so that it provided as a potential solution for steel corrosion of buried pipes. FRP lining worked as the mould for casting SHCC and as a structural member during service life. Fabrication process for FSSHCCP was presented in detail and three-edge bearing test (TEBT) was performed to test the structural performance of FSSHCCP such as the load-carrying capacity, deflection, circumferential strain and crack patterns. Results show that it is important to coat coarse silica sand on the outer surface of FRP lining since this treatment can improve the interface bondage between SHCC and FRP. The ultimate load of FSSHCCP increases about 129 % than FRP/SHCC pipes without silica sand layer. The multiple cracking characteristic of SHCC is observed in FSSHCCP under TEBT. © 2017, Editorial Board of Journal of Huazhong University of Science and Technology. All right reserved.

关键词： Fiber reinforced plastics

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Partial wave analysis of + c.c.

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Journal of High Energy Physics 2025年第2期2025卷 1-24页

作者： Ablikim, M. Achasov, M. N. Adlarson, P. Afedulidis, O. Ai, X. C. Aliberti, R. Amoroso, A. An, Q. Bai, Y. Bakina, O. Balossino, I. Ban, Y. Bao, H.-R. Batozskaya, V. Begzsuren, K. Berger, N. Berlowski, M. Bertani, M. Bettoni, D. Bianchi, F. Bianco, E. Bortone, A. Boyko, I. Briere, R. A. Brueggemann, A. Cai, H. Cai, X. Calcaterra, A. Cao, G. F. Cao, N. Cetin, S. A. Chai, X. Y. Chang, J. F. Che, G. R. Chelkov, G. Chen, C. Chen, C. H. Chen, Chao Chen, G. Chen, H. S. Chen, H. Y. Chen, M. L. Chen, S. J. Chen, S. L. Chen, S. M. Chen, T. Chen, X. R. Chen, X. T. Chen, Y. B. Chen, Y. Q. Chen, Z. J. Chen, Z. Y. Choi, S. K. Cibinetto, G. Cossio, F. Cui, J. J. Dai, H. L. Dai, J. P. Dbeyssi, A. de Boer, R. E. Dedovich, D. Deng, C. Q. Deng, Z. Y. Denig, A. Denysenko, I. Destefanis, M. De Mori, F. Ding, B. Ding, X. X. Ding, Y. Dong, J. Dong, L. Y. Dong, M. Y. Dong, X. Du, M. C. Du, S. X. Duan, Y. Y. Duan, Z. H. Egorov, P. Fan, Y. H. Fang, J. Fang, S. S. Fang, W. X. Fang, Y. Fang, Y. Q. Farinelli, R. Fava, L. Feldbauer, F. Felici, G. Feng, C. Q. Feng, J. H. Feng, Y. T. Fritsch, M. Fu, C. D. Fu, J. L. Fu, Y. W. Gao, H. Gao, X. B. Gao, Y. N. Gao, Yang Garbolino, S. Garzia, I. Ge, L. Ge, P. T. Ge, Z. W. Geng, C. Gersabeck, E. M. Gilman, A. Goetzen, K. Gong, L. Gong, W. X. Gradl, W. Gramigna, S. Greco, M. Gu, M. H. Gu, Y. T. Guan, C. Y. Guo, A. Q. Guo, L. B. Guo, M. J. Guo, R. P. Guo, Y. P. Guskov, A. Gutierrez, J. Han, K. L. Han, T. T. Hanisch, F. Hao, X. Q. Harris, F. A. He, K. K. He, K. L. Heinsius, F. H. Heinz, C. H. Heng, Y. K. Herold, C. Holtmann, T. Hong, P. C. Hou, G. Y. Hou, X. T. Hou, Y. R. Hou, Z. L. Hu, B. Y. Hu, H. M. Hu, J. F. Hu, S. L. Hu, T. Hu, Y. Huang, G. S. Huang, K. X. Huang, L. Q. Huang, X. T. Huang, Y. P. Huang, Y. S. Hussain, T. Hölzken, F. Hüsken, N. in der Wiesche, N. Jackson, J. Janchiv, S. Jeong, J. H. Ji, Q. Ji, Q. P. Ji, W. Ji, X. B. Ji, X. L. Ji, Y. Y. Jia, X. Q. Jia, Z. K. Jiang, D. Jiang, H. B. Jiang, P. C. Jiang, S. S. Jiang, T. J. Jiang, X. S. Jiang, Y. Jiao, J. B. Jiao, J. K. Jiao, Z. Jin, S. Jin, Y Institute of High Energy Physics Beijing People’s Republic of China Budker Institute of Nuclear Physics SB RAS (BINP) Novosibirsk Russia Novosibirsk State University Novosibirsk Russia Uppsala University Uppsala Sweden Bochum Ruhr-University Bochum Germany Zhengzhou University Zhengzhou People’s Republic of China Johannes Gutenberg University of Mainz Mainz Germany University of Turin Turin Italy INFN Turin Italy University of Science and Technology of China Hefei People’s Republic of China State Key Laboratory of Particle Detection and Electronics Beijing People’s Republic of China Southeast University Nanjing People’s Republic of China Joint Institute for Nuclear Research Dubna Russia INFN Sezione di Ferrara Ferrara Italy Peking University Beijing People’s Republic of China State Key Laboratory of Nuclear Physics and Technology Peking University Beijing People’s Republic of China University of Chinese Academy of Sciences Beijing People’s Republic of China National Centre for Nuclear Research Warsaw Poland Institute of Physics and Technology Ulaanbaatar Mongolia INFN Laboratori Nazionali di Frascati Frascati Italy Carnegie Mellon University Pittsburgh USA University of Muenster Muenster Germany Wuhan University Wuhan People’s Republic of China Turkish Accelerator Center Particle Factory Group Istinye University Istanbul Turkey Nankai University Tianjin People’s Republic of China Moscow Institute of Physics and Technology Moscow Russia China University of Geosciences Wuhan People’s Republic of China Soochow University Suzhou People’s Republic of China Henan University Kaifeng People’s Republic of China Nanjing University Nanjing People’s Republic of China North China Electric Power University Beijing People’s Republic of China Tsinghua University Beijing People’s Republic of China Institute of Modern Physics Lanzhou People’s Republic of China Jilin University Changchun People’s Republic of China Hunan University Changsha People’s Republic of

Based on a sample of (2712.4 ± 14.3) × 106 ψ(3686) events collected with the BESIII detector, a partial wave analysis of the decay $$ \psi (3686)\to \Lambda {\overline{\Sigma}}^0{\pi}^0 $$ + c.c. is performed to investigate Λ* and Σ* resonances in the $$ {\pi}^0{\overline{\Sigma}}^0 $$ and π0Λ invariant mass distributions. Significant contributions are found from the Λ(1405), Λ(1520), Λ(1600), Λ(1670), Λ(1690), Λ(1800), Λ(1890), Λ(2325), Σ(1385), Σ(1660), Σ(1670), Σ(1750), and Σ(1910). The masses, widths, and production branching fractions for each component are determined. In addition, the branching fraction of $$ \psi (3686)\to \Lambda {\overline{\Sigma}}^0{\pi}^0 $$ + c.c. is measured to be (1.544 ± 0.013 ± 0.071) × 10−4 for the first time, where the first uncertainty is statistical and the second systematic.

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