检索结果-内蒙古大学图书馆

Effects of High-Pressure Homogenization on Phenolics Profile, Antioxidant Activity, Α-Glucosidase Inhibitory Activity, and Insulin Resistance of Peach Juice During Simulated Digestion in Vitro

SSRN

引用

SSRN 2025年

作者： Peng, Yijin Bie, Shenke Cai, Shengbao Zhou, Linyan Guo, Chaofan Faculty of Food Science and Engineering Kunming University of Science and Technology Yunnan Province Kunming650500 China Yunnan Engineering Research Center for Fruit & Vegetable Products Yunnan Province Kunming650500 China International Green Food Processing Research and Development Center of Kunming City Yunnan Province Kunming650500 China Yunnan Key Laboratory for Food Advanced Manufacturing Yunnan Province Kunming650500 China

This study investigated the changes in the phenolic content, profile, and bioactivities of peach juice throughout gastrointestinal digestion after high-pressure homogenization (HPH), along with molecular docking to analyze phenolic interactions with IRS1/PI3K/AKT pathway proteins. Following intestinal digestion, the total phenolic and flavonoid retention in peach juice after HPH at 300 MPa increased by 28% and 20%, respectively, compared to non-treated samples. Peach juice after HPH exhibited enhanced bioactivities after intestinal digestion. Specifically, the capacities to scavenge DPPH and ABTS free radicals increased by 8.58% - 26.68%, and the α-glucosidase inhibition increased by 21.40% - 32.98%. Furthermore, glucose consumption in HepG2 cells increased by 17.15% - 30.00% for the respective treatment. Phlorizin and quercetin were identified as key compounds in peach juice contributing to alleviate insulin resistance. These findings emphasized HPH as an effective technique to enhance the bioavailability of phenolic and nutritional value in peach juice. © 2025, The Authors. All rights reserved.

关键词： Fruit juices

来源：评论

学校读者我要写书评

暂无评论

NTIRE 2023 Image Shadow Removal Challenge Report

NTIRE 2023 Image Shadow Removal Challenge Report

引用

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023

作者： Vasluianu, Florin-Alexandru Seizinger, Tim Timofte, Radu Cui, Shuhao Huang, Junshi Tian, Shuman Fan, Mingyuan Zhang, Jiaqi Zhu, Li Wei, Xiaoming Wei, Xiaolin Luo, Ziwei Gustafsson, Fredrik K. Zhao, Zheng Sjölund, Jens Schön, Thomas B. Dong, Xiaoyi Zhang, Xi Sheryl Li, Chenghua Leng, Cong Yeo, Woon-Ha Oh, Wang-Taek Lee, Yeo-Reum Ryu, Han-Cheol Luo, Jinting Jiang, Chengzhi Han, Mingyan Wu, Qi Lin, Wenjie Yu, Lei Li, Xinpeng Jiang, Ting Fan, Haoqiang Liu, Shuaicheng Xu, Shuning Song, Binbin Chen, Xiangyu Zhang, Shile Zhou, Jiantao Zhang, Zhao Zhao, Suiyi Zheng, Huan Gao, Yangcheng Wei, Yanyan Wang, Bo Ren, Jiahuan Luo, Yan Kondo, Yuki Miyata, Riku Yasue, Fuma Naruki, Taito Ukita, Norimichi Chang, Hua-En Yang, Hao-Hsiang Chen, Yi-Chung Chiang, Yuan-Chun Huang, Zhi-Kai Chen, Wei-Ting Chen, I-Hsiang Hsieh, Chia-Hsuan Kuo, Sy-Yen Xianwei, Li Fu, Huiyuan Liu, Chunlin Ma, Huadong Fu, Binglan He, Huiming Wang, Mengjia She, Wenxuan Liu, Yu Nathan, Sabari Kansal, Priya Zhang, Zhongjian Yang, Huabin Wang, Yan Zhang, Yanru Phutke, Shruti S. Kulkarni, Ashutosh Khan, Md Raqib Murala, Subrahmanyam Vipparthi, Santosh Kumar Ye, Heng Liu, Zixi Yang, Xingyi Liu, Songhua Wu, Yinwei Jing, Yongcheng Yu, Qianhao Zheng, Naishan Huang, Jie Long, Yuhang Yao, Mingde Zhao, Feng Zhao, Bowen Ye, Nan Shen, Ning Cao, Yanpeng Xiong, Tong Xia, Weiran Li, Dingwen Xia, Shuchen Computer Vision Lab Ifi Caidas University of Würzburg Germany Computer Vision Lab Eth Zürich Switzerland Meituan Group China Department of Information Technology Uppsala University Sweden Institute of Automation Chinese Academy of Sciences Beijing China Nanjing China Maicro Nanjing China Department of Artificial Intelligence Convergence Sahmyook University Seoul Korea Republic of Megvii Technology China University of Electronic Science and Technology of China China University of Macau China China Toyota Technological Institute Japan Graduate Institute of Electronics Engineering National Taiwan University Taiwan Department of Electrical Engineering National Taiwan University Taiwan Graduate Institute of Communication Engineering National Taiwan University Taiwan ServiceNow United States Beijing University of Post and Teleconmunication Beijing China Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education China Couger Inc. Computer Vision and Pattern Recognition Lab Indian Institute of Technology Ropar Punjab Rupnagar India Research Institute Singapore National University of Singapore Singapore Research Institute Singapore University of Sydney Australia Brain-Inspired Vision Laboratory Information Science and Technology Institution University of Science and Technology of China China State Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical Engineering Zhejiang University Hangzhou310027 China Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province School of Mechanical Engineering Zhejiang University Hangzhou310027 China South China University of Technology China

ISBN: (纸本)9798350302493

This work reviews the results of the NTIRE 2023 Challenge on Image Shadow Removal. The described set of solutions were proposed for a novel dataset, which captures a wide range of object-light interactions. It consists of 1200 roughly pixel aligned pairs of real shadow free and shadow affected images, captured in a controlled environment. The data was captured in a white-box setup, using professional equipment for lights and data acquisition sensors. The challenge had a number of 144 participants registered, out of which 19 teams were compared in the final ranking. The proposed solutions extend the work on shadow removal, improving over the performance level describing state-of-the-art methods. © 2023 IEEE.

关键词： Data acquisition

来源：评论

学校读者我要写书评

暂无评论

Exciton Diffusion and Annihilation in Nanophotonic Purcell Landscapes

Exciton Diffusion and Annihilation in Nanophotonic Purcell L...

引用

Conference on Lasers and Electro-Optics (CLEO)

作者： T. V. Raziman C. Peter Visser Shaojun Wang Jaime Gómez Rivas Alberto G. Curto Eindhoven University of Technology Eindhoven The Netherlands MOE Key Laboratory of Modern Optical Technologies and Jiangsu Key Laboratory of Advanced Optical Manufacturing Technologies School of Optoelectronic Science and Engineering Soochow University Suzhou China

Conventional nanophotonic emission enhancement neglects excitonic phenomena of diffusion and annihilation. We go beyond the localized Purcell effect and identify the enhancement mechanisms to turn their detrimental im... 详细信息

ISBN: (纸本)9781943580910

关键词： Excitons Laser excitation Electrooptic effects

来源：评论

学校读者我要写书评

暂无评论

Multi-attribute decision making method for product design schemes based on linguistic Z-numbers

Multi-attribute decision making method for product design sc...

引用

Intelligent Design (ICID), International Conference on

作者： Zhongkui Liu Qinghua Liu Danhui Zhang College of Mechanical and Vehicle Engineering Linyi University Linyi China Key Laboratory of Advanced Manufacturing Technology Ministry of Education Guizhou University Guiyang China

ISBN: (纸本)9781665406031

In the intelligent manufacturing environment, the requirements for products are increasing day by day. Effective decision-making and management of product design schemes can shorten the design cycle and improve product quality. Although many studies use quantitative language for the evaluation of design scheme decision-making, there are few studies considering the degree of decision-maker’s evaluation confidence. A multi-attribute decision-making method of product design scheme based on linguistic Z-numhers (LZNs) is proposed to solve this problem. Firstly, according to the evaluation index, the linguistic term set of scheme evaluation and the evaluation confidence term set of decision-maker are established. Then, the decision matrix of LZNs is constructed and transformed into linguistic value. After that, the technique for order preference by similarity to ideal solution (TOPSIS) under the LZNs environment is utilized to evaluate the product design schemes to obtain the ranking of the scheme and then obtain the optimal scheme. Finally, an example is given to verify the effectiveness of the proposed method. The results show that self-confidence can achieve a more reasonable and practical evaluation of the product design scheme, and it is easier to obtain the best scheme.

关键词： Correlation Decision making Semantics Linguistics Product design Quality assessment manufacturing

来源：评论

学校读者我要写书评

暂无评论

Optimization of remanufacturing process routes oriented toward eco-efficiency

引用

Frontiers of Mechanical Engineering 2019年第4期14卷 422-433页

作者： Hong PENG Han WANG Daojia CHEN Key Laboratory of Metallurgical Equipment and Control Technology Wuhan University of Science and TechnologyWuhan 430081China Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering Wuhan University of Science and TechnologyWuhan 430081China Academy of Green Manufacturing Engineering Wuhan University of Science and TechnologyWuhan 430081China

Remanufacturing route optimization is crucial in remanufacturing production because it exerts a considerable impact on the eco-efficiency(i.e.,the best link between economic and environmental benefits)of ***,an optimization model for remanufacturing process routes oriented toward eco-efficiency is *** this model,fault tree analysis is used to extract the characteristic factors of used *** ICAM definition method is utilized to design alternative remanufacturing process routes for the used ***,an eco-efficiency objective function model is established,and simulated annealing(SA)particle swarm optimization(PSO)is applied to select the manufacturing process route with the best *** proposed model is then applied to the remanufacturing of a used helical cylindrical gear,and optimization of the remanufacturing process route is realized by MATLAB *** proposed model’s feasibility is verified by comparing the model’s performance with that of standard SA and PSO.

关键词： remanufacturing process route optimization eco-efficiency simulated particle swarm optimization algorithm IDEF0

来源：评论

学校读者我要写书评

暂无评论

Overlapped Human Pose Estimation using Non-Maximum Suppression based on Shape Similarity

Overlapped Human Pose Estimation using Non-Maximum Suppressi...

引用

2021 China Automation Congress, CAC 2021

作者： Yu, Xuefu Li, Jinsheng Xiao, Fei Liu, Wei Luo, Dapeng Wei, Longsheng School of Automation China University of Geosciences Wuhan China Key Laboratory of Geological Survey and Evaluation of Ministry of Education Wuhan China Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Intelligent Technology co. Ltd Chinese Construction Third Engineering Bureau Wuhan China School of Electronic Information and Mechanics China University of Geosciences Wuhan China

ISBN: (纸本)9781665426473

Deep Convolutional Neural Networks (DNNs) have made significant progress on human pose estimation task in recent years. However, the question of whether we are making the most use of the information we get from DNNs has not been well studied. Top-down approach which first detects person body box then utilizes single person pose estimation by heatmap is a widely used method in multi-person pose estimation. However, information that predicted by DNNs contains more information than we consider. In person box prediction process, when two persons are closed to each other, the Non-Maximum Suppression (NMS) we often use filters out the body boxes with smaller scores. For tackling this problem, we apply NMS based on Shape Similarity to person body boxes detection for tackling the problem that deleting the overlapped body boxes with smaller scores, and then extract keypoint coordinates and tag information for filter noise candidates from heatmap by Trasformer to improve the prediction accuracy. At last we develop an algorithm for refining keypoint coordinate by tag information. In experiment, we got mean Average Precision(mAP) of 76.0% in COCO2017 validation dataset, better than 75.6% with TransPose. © 2021 IEEE

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

No-Reference Image Quality Assessment using Meta-SGD

No-Reference Image Quality Assessment using Meta-SGD

引用

2021 China Automation Congress, CAC 2021

作者： Van, Qmgqmg Dong, Bei Li, Xin Xiang, Yiwen Luo, Dapeng Wei, Longsheng School of Automation China University of Geosciences Wuhan China Key Laboratory of Geological Survey and Evaluation of Ministry of Education Wuhan China Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Intelligent Technology co. Ltd of Chinese Construction Third Engineering Bureau Wuhan China School of Electronic Information and Mechanics China University of Geosciences Wuhan China

ISBN: (纸本)9781665426473

Deep learning-based no-reference image quality assessment (NR-IQA) algorithm requires massive training data and labels, but data scarcity usually exists in practical applications. Most of the previous metrics used pre-trained networks to solve this problem by fine-tuning on the target tasks. Unfortunately, the network trained on other tasks cannot be directly applied to IQA tasks and failed when encountering complex distortions. To reduce dependence on labeled data and improve generalization ability of unknown distortion types, a NR-IQA metric based on Meta-SGD is proposed, which can learn the quick adaptability of humans and obtain general meta-knowledge for distortion evaluation. Specifically, we collected a great many NR-IQA tasks with different distortion types to pre-train the model;then a meta-learning metric based on optimization, Meta-SGD, is proposed to acquire the meta-knowledge when evaluating images quality with various known distortions;finally, the obtained pre-trained meta-model can be directly applied to the new NR-IQA tasks only by fine-tuning a few images. Experiments on the TID2013 database demonstrate that the model after meta-learning obviously outperforms than some existing methods, and the average SRCC value for all types of distortion performance tests can reach 0.91. © 2021 IEEE

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

Large Scale and High-Precision Crop Recognition Using Satellite Remote Sensing Images

Large Scale and High-Precision Crop Recognition Using Satell...

引用

Chinese Automation Congress (CAC)

作者： Xuanting Tao Jinglu Tan Jianguo Zhang Suleyman I. Allakhverdiev Zhenyu Xu Ya Guo Key Laboratory of Advanced Process Control for Light Industry Ministry of Education Jiangnan University Wuxi China Department of Chemical & Biomedical Engineering University of Missouri Columbia Missouri USA Wuxi Agricultural Equipment Technology Extension Center Wuxi China Timiryazev Institute of Plant Physiology RAS Moscow Russia Longcom Internet of Things Co. Ltd Hefei China

ISBN: (数字)9798350368604

ISBN: (纸本)9798350368611

Precise large-scale crop recognition is crucial for estimating crop yield and carbon assimilation. Current research on crop type recognition based on deep learning is often limited to a single crop and small areas, with poor model transferability. When performing multi-crop recognition over large areas, the accuracy significantly decreases. Therefore, it is necessary to establish a high-precision crop type recognition model with strong generalization capability. A deep learning model (LSTM-Transformer Parallel, LTP) based on the combination of LSTM (Long Short-Term Memory) network and Transformer self-attention mechanism architecture is proposed in this paper. The model captures the dependencies among crop NDVI time series data to achieve high-precision recognition of large-scale crop types. Experimental results show that in crop recognition experiments using small-scale agricultural area data, the recognition results of the LTP, TSMixer, and SegRNN models all performed excellently, with average accuracies of 94.55%, 94.41%, and 94.79%, respectively. In contrast, in crop recognition experiments using large-scale agricultural area data, the average accuracy of the LTP model reaches 93.77%, while the accuracies of the TSMixer and SegRNN models are 82.30% and 84.13%, respectively. This indicates that the LTP model not only performs well on small-scale agricultural area datasets but also significantly outperforms models in the literature on large-scale agricultural area datasets, demonstrating strong generalization capability. It provides a reliable method for large-scale multi-crop recognition, contributing to global food security and carbon cycle assessment.

关键词： Deep learning Analytical models Accuracy Satellites Time series analysis Crops Transformers Data models Long short term memory Remote sensing

来源：评论

学校读者我要写书评

暂无评论

Bio-Based Eutectic Composite Phase Change Materials with Enhanced Thermal Conductivity and Shape Stabilization for Battery Thermal Management

SSRN

引用

SSRN 2024年

作者： Su, Yanghan Zhou, Fei Shen, Junjie Chen, Xing Xu, Xiaobin Shi, Shaojun Wang, Xiaolin State Key Laboratory of Mechanics and Control of Aerospace Structures Nanjing University of Aeronautics and Astronautics Nanjing210016 China College of Mechanical and Electrical Engineering Nanjing University of Aeronautics and Astronautics Nanjing210016 China Jiangsu Lab of Advanced Functional Material Changshu Institute of Technology Changshu215500 China School of Engineering University of Tasmania HobartTAS7005 Australia

Organic phase change materials (PCMs) are commonly used for battery thermal management. Organic petroleum-based PCMs such as paraffin have an adverse effect on environment. Fatty acids as environmentally friendly bio-based PCMs, have enormous potential in sustainable development strategies. Nevertheless, the application of fatty acids in battery thermal management (BTMS) is restricted by the leakage of liquid PCM, poor thermal performance and the improper phase change temperature. We proposed a novel bio-based eutectic composite phase change materials (CPCM) with enhanced thermal conductivity and excellent shape-stabilization, composed of ethylene-vinyl acetate (EVA), Aluminum nitride (AlN), and the eutectic PCM of Lauric acid (LA) and Stearic acid (SA). Significantly, the screened eutectic PCM of LA-SA possesses a suitable phase change temperature range corresponding to the battery operating temperature, and long-term thermal cycling stability of up to 100 cycles. And the cross-linked structure of EVA effectively encapsulated the eutectic PCM, whose mass only lost below 4% after 24 hours heating at 80 °C. Simultaneously, the introduction of AlN greatly improved the heat transfer ability and mechanical properties. LA-SA/EVA/AlN composites with 5wt% AlN has adequate latent heat of 107.94J/g and high thermal conductivity of 0.726 W/ (m·K). The discharging-charging test was finally performed to evaluate the temperature control ability of CPCM. It suggested that the CPCM incorporated with AlN is capable effective cooling battery and dissipate energy inside PCM rapidly. © 2024, The Authors. All rights reserved.

关键词： Aluminum nitride

来源：评论

学校读者我要写书评

暂无评论

Loss-Enabled Chirality Inversion in Terahertz Metasurfaces

引用

Physical Review Letters 2025年第10期134卷 106901-106901页

作者： Weibao He Shun Wan Yunlan Zuo Siyang Hu Ziheng Ren Zhongyi Yu Dongsheng Yang Xiang’ai Cheng keyu Xia College of Advanced Interdisciplinary Studies National University of Defense Technology Changsha 410073 People’s Republic of China Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Department of Physics and Synergetic Innovation Center for Quantum Effects and Applications Hunan Normal University Changsha 410081 People’s Republic of China School of Physics and Chemistry Hunan First Normal University Changsha 410205 People’s Republic of China Institute for Quantum Science and Technology College of Science National University of Defense Technology Changsha 410073 People’s Republic of China College of Engineering and Applied Sciences Nanjing University Nanjing 210023 People’s Republic of China Shishan Laboratory Suzhou Campus of Nanjing University Suzhou 215000 People’s Republic of China

Exceptional points (EPs), known as non-Hermitian degeneracies featuring missing eigenspace dimensions, have led to a variety of intriguing wave phenomena in various physical platforms. Chiral EPs collapsing in two orthogonal eigenstates can lead to unique effects and applications, such as loss-induced transparency, EP-enhanced sensing, and chirality-reversal electronics, etc. However, in previous experiments, chiral EPs were typically induced in fixed structures with inherent active gains or nearby nanotips, which are unfavorable for on-chip integrations with low-power elements. Here, we demonstrate the active control of EPs chirality in situ with exceptional-line metasurface. Selective chirality inversion can be well achieved by only light-induced loss without altering the metasurface size. We also perform an ultrafast chirality switch in the picosecond level within transient disturbance. In a broader view, our results provide a platform for the investigation of metasurface-based non-Hermitian physics and active EP modulation, which can stimulate exciting works along this line in near future.

关键词： Nanotips

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：