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Effect of microstructure on lipolysis behavior of milk fat globules during gastrointestinal digestion

Food science and Human Wellness 2025年第05期 1947-1957页

作者： Xinyun Zhou Ting Guo Chen Chen Hadiatullah Hadiatullah Yunping Yao Changmo Li Xingguo Wang State Key Laboratory of Food Nutrition and Safety Key Laboratory of Food Nutrition and Safety Ministry of Education College of Food Science and Engineering Tianjin University of Science & Technology Tianjin Key Laboratory for Modern Drug Delivery & High-Efficiency Collaborative Innovation Center of Chemical Science and Engineering School of Pharmaceutical Science and Technology Tianjin University Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province National Engineering Research Center for Functional Food School of Food Science and Technology Jiangnan University

Milk fat globules(MFG) are the primary source of energy and functional factor in dairy-based *** evaluate the suitability of commercial MFG substitutes for infant and adult consumers,the lipolysis properties and regulatory factors in digesting bovine,caprine,and human MFG were *** lipolysis kinetic models of bovine and caprine MFG are comparable,with bovine MFG displaying the highest degree of lipolysis(50.21%) during gastric digestion in infants,resulting in the production short-chain saturated fatty *** MFG has a high rate of lipolysis due to its weak phospholipid-glycoprotein layer,which is prominent in both infants' and adults' *** effects of consuming bovine and caprine MFG for adults are comparable in terms of lipolysis properties and nutritional value of fatty *** gastrointestinal digestion,human MFG has the highest digestibility(93.98%).The advantages of human MFG include its phospholipid structure,exogenous lipase,and lipolysis-regulating *** study provides recommendation for the selection of milk fat substitutes and improvements in commercial dairy.

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RGB-Based Category-Level Object Pose Estimation via Depth Recovery and Adaptive Refinement

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IEEE Robotics and Automation Letters 2025年第6期10卷 5377-5384页

作者： Yang, Hui Sun, Wei Liu, Jian Zheng, Jin Zeng, Zhiwen Mian, Ajmal Hunan University National Engineering Research Center for Robot Visual Perception and Control Technology College of Electrical and Information Engineering Changsha410082 China Hunan University State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Changsha410082 China Central South University School of Architecture and Art Changsha410082 China University of Western Australia Department of Computer Science and Software Engineering CrawleyWA6009 Australia

Category-level pose estimation methods have received widespread attention as they can be generalized to intra-class unseen objects. Although RGB-D-based category-level methods have made significant progress, reliance on depth image limits practical application. RGB-based methods offer a more practical and cost-effective solution. However, current RGB-based methods struggle with object geometry perception, leading to inaccurate pose estimation. We propose depth recovery and adaptive refinement for category-level object pose estimation from a single RGB image. We leverage DINOv2 to reconstruct the coarse scene-level depth from the input RGB image and propose an adaptive refinement network based on an encoder-decoder architecture to dynamically improve the predicted coarse depth and reduce its gap from the ground truth. We introduce a 2D–3D consistency loss to ensure correspondence between the point cloud obtained from depth projection and the objects in the 2D image. This consistency supervision enables the model to maintain alignment between the depth image and the point cloud. Finally, we extract features from the refined point cloud and feed them into two confidence-aware rotation regression branches and a translation and size prediction residual branch for end-to-end training. Decoupling the rotation matrix provides a more direct representation, which facilitates parameter optimization and gradient propagation. Extensive experiments on the REAL275 and CAMERA25 datasets demonstrate the superior performance of our method. Real-world estimation and robotic grasping experiments demonstrate our model robustness to occlusion, clutter environments, and low-textured objects. Our code and robotic grasping video are available at DA-Pose. © 2016 IEEE.

关键词： Depth perception

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Polyphenol-driven structural alterations and antibacterial potency of the IgY-catechin complex

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European Food research and Technology 2025年 1-16页

作者： Liu, Lili Wang, Yanli Zhang, Mengjun Cheng, Weiwei Ding, Yue He, Jialiang College of Food and Bioengineering International Joint Laboratory of Food Processing and Quality Safety Control of Henan Province Luoyang China National Experimental Teaching Demonstration Center for Food Processing and Security Luoyang China Henan Engineering Technology Research Center of Food Raw Materials Luoyang China International Joint Laboratory of Food Processing and Quality Safety Control of Henan Province Luoyang China Henan University of Science and Technology Luoyang471023 China College of Food and Bioengineering Henan University of Science and Technology Luoyang China

Protein–polyphenol synergy reshapes functionality, unlocking new applications. Yolk immunoglobulin (IgY), a readily accessible protein derived from eggs, undergoes structural and functional changes upon binding with catechin, which is crucial for expanding its potential uses. This study aims to explore the binding mechanisms, structural alterations, stability changes, and antibacterial properties of the IgY-catechin complex. Using molecular simulation technology, spectroscopy, and antibacterial assays, we investigated the complex in detail. Molecular simulations revealed that catechin binds to key residues (PHE503, THR501, THR505, and GLU511) of IgY, resulting in conformational changes. The predicted free energy of binding was − 27.34 kJ/mol, primarily driven by hydrogen bonding interactions, with a corresponding binding constant of 1.694 × 104 L/mol at 298 K. Circular dichroism (CD) analysis a 5.48% decrease in α-helix content, and an increase in random coil content, reflecting structural changes. Moreover, the IgY-catechin complex demonstrated enhanced acid–base stability but slightly reduced thermal stability compared to IgY alone. Fluorescence microscopy and nucleic acid leakage assays confirmed that the complex disrupted the membranes of Escherichia coli and Staphylococcus aureus, leading to the leakage of intracellular genetic material. These findings reveal that the IgY-catechin interaction not only alters the protein structure of IgY but also boosts its antibacterial activity, offering a promising approach to broaden applications in the food industry. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.

关键词： Circular dichroism spectroscopy

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Stability of artificial intelligence methods in computed tomography metal artifacts reduction task 5

Stability of artificial intelligence methods in computed tom...

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5th Symposium on Pattern Recognition and Applications, SPRA 2024

作者： Gilmanov, Marat Kirkicha, Andrey Ingacheva, Anastasia Chukalina, Marina Nikolaev, Dmitrii Smart Engines Service LLC Moscow117312 Russia Institute for Information Transmission Problems RAS Moscow Russia Federal Research Center Computer Science and Control RAS Moscow Russia

ISBN: (数字)9781510688803

ISBN: (纸本)9781510688797

Reducing image artifacts in modern computed tomography is one of the most important directions, which also receives a research boost from the rapid development of artificial intelligence and machine learning. The neural network based methods often allow the achievement of the high artifact reduction quality unattainable by classical approaches. Simultaneously, these models tend to be less robust and generalize worse than algorithmic approaches. The output result may degrade severely under the use in cases not represented in learning datasets. In the present work, the robustness and generalization properties of neural network models are studied in the task of metal-like artifact reduction for computed tomography reconstruction. The pipeline for data augmentation is developed for the metal artifacts severity and geometry variations parameters. The pipeline is validated by augmentation of DICDNet model test dataset and evaluating of the corresponding pre-trained DICDNet model. The generated data consisted of 192000 samples for 12×8 combinations of experiment parameters. It was demonstrated that DICDNet is reasonably robust to geometry variations with a maximum deviation of PSNR≈1.5%. At the same time, even small artifact severity growth leads to rapid quality degradation and blurring of studied model output. The degradation reaches ≈22% PSNR deterioration from the baseline algorithmic approach, which is also one of the inputs for the studied model. Copyright © 2025 SPIE.

关键词： Computerized tomography

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Real-time reconstruction on micro-CT setup 5

Real-time reconstruction on micro-CT setup

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5th Symposium on Pattern Recognition and Applications, SPRA 2024

作者： Gilmanov, Marat Bulatov, Konstantin Bugai, Oleg Ingacheva, Anastasia Chukalina, Marina Nikolaev, Dmitrii Arlazarov, Vladimir Smart Engines Service LLC Moscow117312 Russia Institute for Information Transmission Problems RAS Moscow Russia Federal Research Center Computer Science and Control RAS Moscow Russia

ISBN: (数字)9781510688803

ISBN: (纸本)9781510688797

Dose reduction in computed tomography is one of the most urgent questions with a deep research history. One of the rising potentially powerful tools for dose reduction is monitored tomographic reconstruction. This promising concept heavily relies on utilizing real-time reconstruction from currently available data, which is the main topic of the present paper. The main result of achieving a real-time reconstruction on a commercially available micro-CT setup utilizing SmartTomoEngine SDK is highlighted and presented in more detail. The new acquisition order is proposed, allowing for faster convergence of intermediate reconstruction results. An optimization of reconstruction from partial data is proposed, which allowed the production of 385 and 440 reconstructions for standard and proposed acquisition orders correspondingly during a single acquisition of 512 projections, achieving a real-time reconstruction. The results are produced with the use of only a single previous-generation consumer-grade graphical processing unit. The study results demonstrate that with proposed optimizations monitored tomographic reconstruction can be effectively utilized for practical applications using the current generation of existing setups in the micro CT application field. Copyright © 2025 SPIE.

关键词： Computerized tomography

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Tailoring the d-band electronic structure of FePc by direct oxygen bridge on ZIF-8 derived ultrathin carbon shell to improve the oxygen reduction performance

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Nano research 2025年第3期18卷 132-141页

作者： Xilin Zhang Shan Wang Zhiyi Sun Zhongjun Ma Huixuan Wang Zongxian Yang Qingfang Chang Wenxing Chen School of Physics Henan Normal UniversityXinxiang 453007China Energy&Catalysis Center School of Materials Science and EngineeringBeijing Institute of TechnologyBeijing 100081China Key Laboratory of Yellow River and Huai River Water Environmental and Pollution Control Ministry of EducationSchool of EnvironmentHenan Normal UniversityXinxiang 453007China

Molecular catalysts with well-defined single atom sites and coordination environments exhibit significant potential as oxygen reduction electrocatalysts,but suffering from the activity and stability ***,the ultrathin carbon shell supported FePc molecule electrocatalysts(FePc/TA-ONG-N),featuring with a direct oxygen bridging between FePc and carbon substrate,were designed and *** direct connection with oxygen atom on carbon substrate,certified by the Fourier transform infrared spectroscopy(FTIR)and extended X-ray absorption fine structure(EXAFS),can remarkably enhance the interaction and facilitate electron transfer from Fe,leading to an improved activity by reducing adsorption strength of intermediate species through lowering the d-band center *** resultant half-wave potential of 0.902 V together with a Tafel slope of 23.64 mV·dec^(−1)is superior to Pt/C and control *** catalyst holds a promise as air-cathode electrocatalyst in Zn-air battery with excellent operation stability exceeding 80 *** density functional theory(DFT)calculations and molecular dynamic simulations unveiled that the O-bridge can effectively stabilize the FePc molecule and function as electron buffer to donate/gain electrons to/from Fe atom during the adsorption of *** current findings are insightful for developing molecular catalysts with high performance through substrate engineering and axial coordination.

关键词： metal-organic framework axial coordination interfacial electron transfer iron phthalocyanine oxygen reduction reaction

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Decoupling While Coupling: Towards More Accurate Stereo Image Sand Removal Beyond Certainty

Decoupling While Coupling: Towards More Accurate Stereo Imag...

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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Wei, Bingcai Liu, Hui Qian, Chuang Jia, Yi Wu, Wangyu Li, Zhishan School of Computer Science Wuhan University Wuhan China GNSS Research Center Wuhan Unicersity Wuhan China Intelligent Transport Systems Research Center Wuhan University of Technology Wuhan China College of Information and Control Engineering Jilin Institute of Chemical Technology Jilin China University of Liverpool Liverpool United Kingdom School of Computer Science and Engineering South China University of Technology Guangzhou China

ISBN: (纸本)9798350368741

Stereo image sand removal is crucial to improve the perceptual quality for autonomous driving perception. Existing methods often fall short in accurately estimating the uncertainty inherent in degraded images, leading to suboptimal outcomes. To address this, we introduce a novel framework named Decoupling While Coupling(DWC). DWC pioneers the integration of inter-view uncertainty estimation, cross-view uncertainty-aware interaction and block-wise uncertainty representation for superior stereo image sand removal. For cross-view information interaction, we propose an Uncertainty-aware Cross-view Attentive Interaction module(UCAI) to cope with the lack of uncertainty estimation ability in the existing cross-view information interaction mechanism. For the uncertainty perception and information interaction within the inter-view, we propose a Distribution Modeling Coupling Block(DMCB), which transmits the representation of uncertainty between each backbone module. For block-wise uncertainty estimation, we use our proposed Uncertainty-aware Distribution Feature Modulator(UDFM) as the backbone of DWC to modulate the uncertainty inside the neural network itself. Extensive experimental validations on our proposed stereo image sand removal dataset SandST confirm the efficacy of DWC. Our method not only achieves higher PSNR and SSIM, but also exhibits enhanced robustness against various sand degrees and patterns. © 2025 IEEE.

关键词： Cross-view Inter-view Sand removal Stereo image Uncertainty estimation

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H-STEP: Heuristic Stable Edge Service Entity Placement for Mobile Virtual Reality Systems

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IEEE Transactions on Mobile Computing 2025年

作者： Chi, Xuejian Chen, Honglong Ni, Zhichen Sun, Haiyang Sun, Peng Yu, Dongxiao Shandong Provincial Engineering Research Center of Intelligent Sensing and Measurement and Control Technology College of Control Science and Engineering Qingdao266580 China Hunan University College of Computer Science and Electronic Engineering Changsha410082 China Shandong University School of Computer Science and Technology Qingdao266237 China

Virtual reality (VR) technology, as a latency-sensitive application, can achieve real-time response to enhance the user's quality of experience (QoE) on edge devices. However, edge servers, unlike internally managed cloud servers, are prone to hardware failures, software abnormalities, and network attacks. Most prior studies have focused on reducing service delay and improving user coverage through service entity (SE) placement, often neglecting the critical impact of edge server malfunctions on user QoE. In this work, we design a stable service entity placement framework that connects users on faulty servers to collaborative edge servers, ensuring seamless task completion. This framework presents two primary challenges: determining the grouping of collaborative edge services and the placement of SEs. To address these challenges, we introduce a heuristic stable service entity placement (H-STEP) scheme. This scheme first determines the grouping of collaborative edge servers using an iterative search algorithm and then places SEs on suitable edge servers via a fast non-dominated sorting genetic placement algorithm. This approach balances stability benefits with total cost, enhancing the system's economic benefits. We theoretically analyze the performance of H-STEP and derive the performance gap between H-STEP and the optimal scheme. Extensive real-data-driven simulations demonstrate that H-STEP's performance closely approximates that of the optimal scheme and surpasses existing schemes. © 2002-2012 IEEE.

关键词： Virtual environments

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Enhancing 6G-Satellite Network Integration with Artificial Intelligence: A Future Communication Paradigm 22

Enhancing 6G-Satellite Network Integration with Artificial I...

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22nd International Learning and Technology Conference, L and T 2025

作者： Salah, Ibrahim Hussein, Aziza I. Wageh Lotfy, Mostafa Mabrook, Mohamed Mourad Almaaqal University College of Engineering Control and Computer Department Basrah61001 Iraq Effat University College of Engineering Energy and Technology Research Center Saudi Arabia Faculty of Technology and Education Beni-Suef University Dept. of Process Control Technology Beni-Suef Egypt Beni-Suef University Faculty of Navigation Science & Space Technology Space Communication Dept. Beni-Suef Egypt

ISBN: (纸本)9798331532215

The integration of 6G networks and satellite communications is set to revolutionize global connectivity, offering seamless coverage across terrestrial and non-terrestrial environments. Artificial Intelligence (AI) is essential for improving this integration, addressing challenges such as dynamic resource management, latency reduction, and network optimization. AI techniques like machine learning, deep learning, and reinforcement learning offer innovative solutions to handle the complexities of 6G-satellite networks. These advancements promise to significantly improve network efficiency, enhance data transmission reliability, and ensure seamless connectivity across different areas. Potential use cases include smart cities, autonomous vehicles, and Internet of Things (IoT) applications, where AI-driven 6G-satellite integration will be crucial. The proposed AI-enhanced 6G-satellite framework not only addresses current challenges but also lays the groundwork for a resilient, scalable, and globally interconnected communication infrastructure, offering a promising future. © 2025 IEEE.

关键词： Satellite communication systems

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Deformation Monitoring of Aircraft Wings Based on FBG Technology 4

Deformation Monitoring of Aircraft Wings Based on FBG Techno...

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4th International Computational Imaging Conference, CITA 2024

作者： Ying, Mei Rui, Du Yong, Yang Xuechao, Tian Xiaojun, Yang Ruiyan, Li Beijing Institute of Aerospace Control Devices Beijing Engineering Research Center of Optical Fiber Sensing System No.1 Fengying East Road Haidian District Beijing100094 China

ISBN: (纸本)9781510688834

In this paper, the technology of aircraft wing deformation monitoring based on fiber Bragg grating (FBG) sensor is studied. By comparing the limitations of traditional nondestructive monitoring technology,the advantages of FBG sensor in structural health monitoring are obtained. The theoretical basis and working principle of FBG sensor are introduced in detail.A FBG sensor system for wing structure monitoring is designed and constructed. After arranging a FBG sensor network and temperature sensors in series on the wing model, deformation monitoring under various load conditions was carried out. Experimental results show that FBG sensor can accurately measure wing deformation. It is proved that FBG sensor has good accuracy and high response speed, and has a great application prospect in the field of aircraft wing deformation monitoring, which can provide important technical support for aircraft structural health monitoring. © 2025 SPIE.

关键词： Structural health monitoring

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