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Proteomic studies of the effects of processing techniques on properties of abalone muscles: A comprehensive review

Food Science and Human Wellness 2024年

作者： Yan Tian shuyi you Yi Zhang Baodong Zheng Hongliang Zeng College of Food Science， Fujian Agriculture and Forestry University Engineering Research Center of Fujian-Taiwan Special Marine Food Processing and Nutrition， Ministry of Education Key Laboratory of Marine Biotechnology of Fujian Province， Institute of Oceanology， Fujian Agriculture and Forestry University Fuzhou Ocean Research Institute

Background: With the increasing per capita demand for animal protein， there is a growing interest in the abundant abalone protein resources. Abalone proteins are known for their nutritional and functional properties that contribute to flavor and texture. Scope and approach: We systematically constructed the relationship between abalone protein， processing， and proteomics. This paper reviews the nutritional properties of abalone proteins and evaluates the effects of different thermal processing techniques， non-thermal processing， and freezing on abalone proteins. In addition， we synthesize published abalone proteomics studies and the use of proteomics technology to better elucidate the quality changes of abalone and its products， and as a technical basis for the study of blue food marker proteins. It is important direction to clearly explain the protein composition and meat quality mechanism of abalone in the processing and storage by *** findings and conclusions: During various types of thermal processing， non-thermal processing， and freezing of abalone， the various chemical forces between protein molecules are disrupted， which in turn leads to different degrees of denaturation， aggregation， and gelation， which may have an impact on the organoleptic properties， bioavailability， and digestibility of abalone muscle. Proteomics is used in abalone biology studies to understand developmental biology， physiology， disease/stress， and species identification and can also be a powerful tool to characterize processing methods on abalone quality properties.

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Study on thermal decomposition kinetics of azobenzene-4,4′-dicarboxylic acid by using compensation parameter method and nonlinear fitting evaluation

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Chinese Journal of Chemical Engineering 2024年第6期70卷 269-279页

作者： shuyi Shen Song Guo Sining Chen Jinhua Zhao Nanjing University of Science&Technology Nanjing 210094China China Academy of Safety Science and Technology Beijing 100012China

Recently,azobenzene-4,4'-dicarboxylic acid(ADCA)has been produced gradually for use as an organic synthesis or pharmaceutical intermediate due to its eminent *** large quantities put into application in the future,the thermal stability of this substance during storage,transportation,and use will become quite ***,in this work,the thermal decomposition behavior,thermal decomposition kinetics,and thermal hazard of ADCA were *** were conducted by using a SENSYS evo DSC device.A combination of differential iso-conversion method,compensation parameter method,and nonlinear fitting evaluation were also used to analyze thermal kinetics and mechanism of ADCA *** results show that when conversion rate α increases,the activation energies of ADCA's first and main decomposition peaks *** amount of heat released during decomposition varies between 182.46 and 231.16 J·g^(-1).The proposed kinetic equation is based on the Avrami-Erofeev model,which is consistent with the decomposition *** the Frank-Kamenetskii model,a calculated self-accelerating decomposition temperature of 287.0℃is obtained.

关键词： Azobenzene-4,4′-dicarboxylic acid Thermal decomposition behavior Kinetic mechanism Thermal hazard evaluation Compensation parameter effect

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Dynamic event-triggered fault-tolerant cooperative resilient tracking control with prescribed performance for UAVs

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Science China(Information Sciences) 2024年第8期67卷 67-84页

作者： Rong YUAN Zhengcai AN shuyi SHAO Mou CHEN Mihai LUNGU College of Automation Engineering Nanjing University of Aeronautics and Astronautics Science and Technology on Electro-optic Control Laboratory Faculty of Electrical Engineering University of Craiova Aerospace Engineering Doctoral School University Politehnica of Bucharest

In this paper, a resilient tracking control scheme with cooperative collision avoidance performance is studied for the fixed-wing unmanned aerial vehicle(UAV) leader-follower formation in the presence of actuator failures and external disturbances. Firstly, based on the control objectives of UAV formation tracking and collision avoidance, the transformation tracking errors are obtained using the prescribed performance control technique. Next, a fault detection mechanism is introduced to determine if there is the actuator fault. Subsequently, the event-triggered resilient fault observers are designed based on a dynamic eventtriggered mechanism to estimate actuator faults. Furthermore, the prescribed performance functions and the H∞ performance index are employed to ensure the UAV formation collision-free and mitigate the impact of disturbances. Moreover, the resilient controller is designed to minimize the effect of the perturbations for the control gain and the fault observer gain on the system. The stability of the system is also proven through the Lyapunov stability analysis, and the controller gains are calculated by solving the linear matrix ***, the validity of the proposed control strategy is demonstrated by the simulation analysis.

关键词： UAV formation cooperative collision avoidance event-triggered fault observer prescribed performance resilient control

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Cell reprogramming therapy for Parkinson’s disease

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Neural Regeneration Research 2024年第11期19卷 2444-2455页

作者： Wenjing Dong shuyi Liu Shangang Li Zhengbo Wang State Key Laboratory of Primate Biomedical Research Institute of Primate Translational MedicineKunming University of Science and TechnologyKunmingYunnan ProvinceChina Yunnan Key Laboratory of Primate Biomedical Research KunmingYunnan ProvinceChina

Parkinson’s disease is typically characterized by the progressive loss of dopaminergic neurons in the substantia nigra pars *** studies have been performed based on the supplementation of lost dopaminergic neurons to treat Parkinson’s *** initial strategy for cell replacement therapy used human fetal ventral midbrain and human embryonic stem cells to treat Parkinson’s disease,which could substantially alleviate the symptoms of Parkinson’s disease in clinical ***,ethical issues and tumor formation were limitations of its clinical *** pluripotent stem cells can be acquired without sacrificing human embryos,which eliminates the huge ethical barriers of human stem cell *** widely considered neuronal regeneration strategy is to directly reprogram fibroblasts and astrocytes into neurons,without the need for intermediate proliferation states,thus avoiding issues of immune rejection and tumor *** induced pluripotent stem cells and direct reprogramming of lineage cells have shown promising results in the treatment of Parkinson’s ***,there are also ethical concerns and the risk of tumor formation that need to be *** review highlights the current application status of cell reprogramming in the treatment of Parkinson’s disease,focusing on the use of induced pluripotent stem cells in cell replacement therapy,including preclinical animal models and progress in clinical *** review also discusses the advancements in direct reprogramming of lineage cells in the treatment of Parkinson’s disease,as well as the controversy surrounding in vivo *** findings suggest that cell reprogramming may hold great promise as a potential strategy for treating Parkinson’s disease.

关键词： animal models astrocytes autologous cell reprogramming cell therapy direct lineage reprogramming dopaminergic neurons induced pluripotent stem cells non-human primates Parkinson’s disease

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Comprehensive evaluation of multi-energy complementary ecosystem based on improved multicriteria decision-making method

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Clean Energy 2024年第1期8卷 226-236页

作者： Huang shuyi Zou Xuetong Liang Huaguang Chen Jie Shenzhen Power Supply Bureau China Southern Power GridShenzhen 518048China

The multi-energy complementary ecosystem is an important form of the modern energy ***,standardized evaluation criteria and the corresponding method framework have not yet been formed,resulting in unclear standards and irregular processes of its *** cope with this issue,a novel comprehensive evaluation framework for multi-energy complementary ecosystems is proposed in this ***,a 5D comprehensive evaluation criteria system,including environment,economy,technology,safety and systematicness,is ***,a novel multicriteria decision-making model integrating an analytic network process,entropy and preference-ranking organization method for enrichment evaluation under an intuitional fuzzy environment is ***,four practical cases are used for model testing and empirical *** results of the research show that the unit cost of the energy supply and the internal rate of return indexes have the highest weights of 0.142 and 0.010,*** means that they are the focus in the construction of a multi-energy complementary *** net flows of four cases are 0.015,0.123,-0.132 and-0.005,indicating that cases with a variety of energy supply forms and using intelligent management and control platforms to achieve cold,heat and electrical coupling have more advantages.

关键词： multi-energy complementary ecosystem comprehensive evaluation intuitionistic fuzzy multicriteria decision-making

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Progress in clinical diagnosis and treatment of colorectal cancer with rare genetic variants

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Cancer Biology & Medicine 2024年第6期21卷 473-483页

作者： shuyi Chen Jing Gu Kaichun Wu Xiaodi Zhao Yuanyuan Lu State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers and National Clinical Research Center for Digestive Diseases Xijing Hospital of Digestive DiseasesFourth Military Medical UniversityXi’an 710032China School of Basic Medical Sciences Fourth Military Medical UniversityXi’an 710032China

Targeted therapy is crucial for advanced colorectal cancer(CRC) positive for genetic drivers. With advances in deep sequencing technology and new targeted drugs, existing standard molecular pathological detection systems and therapeutic strategies can no longer meet the requirements for careful management of patients with advanced CRC. Thus, rare genetic variations require diagnosis and targeted therapy in clinical practice. Rare gene mutations, amplifications, and rearrangements are usually associated with poor prognosis and poor response to conventional therapy. This review summarizes the clinical diagnosis and treatment of rare genetic variations, in genes including erb-b2 receptor tyrosine kinase 2(ERBB2), B-Raf proto-oncogene, serine/threonine kinase(BRAF), ALK receptor tyrosine kinase/ROS proto-oncogene 1, receptor tyrosine kinase(ALK/ROS1), neurotrophic receptor tyrosine kinases(NTRKs), ret proto-oncogene(RET), fibroblast growth factor receptor 2(FGFR2), and epidermal growth factor receptor(EGFR), to enhance understanding and identify more accurate personalized treatments for patients with rare genetic variations.

关键词： Genetic variation gene mutation gene amplification gene rearrangement targeted therapy

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Multi-Agent Path Planning Method Based on Improved Deep Q-Network in Dynamic Environments

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Journal of Shanghai Jiaotong university(Science) 2024年第4期29卷 601-612页

作者： LI shuyi LI Minzhe JING Zhongliang School of Aeronautics and Astronautics Shanghai Jiao Tong UniversityShanghai200240China

The multi-agent path planning problem presents significant challenges in dynamic environments,primarily due to the ever-changing positions of obstacles and the complex interactions between agents’*** factors contribute to a tendency for the solution to converge slowly,and in some cases,diverge *** addressing this issue,this paper introduces a novel approach utilizing a double dueling deep Q-network(D3QN),tailored for dynamic multi-agent environments.A novel reward function based on multi-agent positional constraints is designed,and a training strategy based on incremental learning is performed to achieve collaborative path planning of multiple ***,the greedy and Boltzmann probability selection policy is introduced for action selection and avoiding convergence to local *** match radar and image sensors,a convolutional neural network-long short-term memory(CNN-LSTM)architecture is constructed to extract the feature of multi-source measurement as the input of the *** algorithm’s efficacy and reliability are validated in a simulated environment,utilizing robot operating system and *** simulation results show that the proposed algorithm provides a real-time solution for path planning tasks in dynamic *** terms of the average success rate and accuracy,the proposed method is superior to other deep learning algorithms,and the convergence speed is also improved.

关键词： multi-agent path planning deep reinforcement learning deep Q-network

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LDAS&ET-AD:Learnable Distillation Attack Strategies and Evolvable Teachers Adversarial Distillation

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Computers, Materials & Continua 2024年第5期79卷 2331-2359页

作者： shuyi Li Hongchao Hu Xiaohan Yang Guozhen Cheng Wenyan Liu Wei Guo National Digital Switching System Engineering&Technological R&D Center The PLA Information Engineering UniversityZhengzhou450000China

Adversarial distillation(AD)has emerged as a potential solution to tackle the challenging optimization problem of loss with hard labels in adversarial ***,fixed sample-agnostic and student-egocentric attack strategies are unsuitable for ***,the reliability of guidance from static teachers diminishes as target models become more *** paper proposes an AD method called Learnable Distillation Attack Strategies and Evolvable Teachers Adversarial Distillation(LDAS&ET-AD).Firstly,a learnable distillation attack strategies generating mechanism is developed to automatically generate sample-dependent attack strategies tailored for distillation.A strategy model is introduced to produce attack strategies that enable adversarial examples(AEs)to be created in areas where the target model significantly diverges from the teachers by competing with the target model in minimizing or maximizing the AD ***,a teacher evolution strategy is introduced to enhance the reliability and effectiveness of knowledge in improving the generalization performance of the target *** calculating the experimentally updated target model’s validation performance on both clean samples and AEs,the impact of distillation from each training sample and AE on the target model’s generalization and robustness abilities is assessed to serve as feedback to fine-tune standard and robust teachers *** evaluate the performance of LDAS&ET-AD against different adversarial attacks on the CIFAR-10 and CIFAR-100 *** experimental results demonstrate that the proposed method achieves a robust precision of 45.39%and 42.63%against AutoAttack(AA)on the CIFAR-10 dataset for ResNet-18 and MobileNet-V2,respectively,marking an improvement of 2.31%and 3.49%over the baseline *** comparison to state-of-the-art adversarial defense techniques,our method surpasses Introspective Adversarial Distillation,the top-performing method in terms of robustne

关键词： Adversarial training adversarial distillation learnable distillation attack strategies teacher evolution strategy

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Comprehensive evaluation and spatial-temporal evolution characteristics of urban resilience in Chengdu-Chongqing Economic Circle

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Chinese Journal of Population,Resources and Environment 2024年第1期22卷 58-67页

作者： Xin Li shuyi Zhang Rongxi Ren Yafei Wang School of Economics and Management Chongqing Normal UniversityChongqing 401331China College of Marxism Taiyuan Normal UniversityTaiyuan 030619China Family Institute Northwestern UniversityChicago 60208USA

To clarify the connotations and extensions of urban resilience,this study focuses on the Chengdu-Chongqing Economic Circle with 16 cities as research subjects.A comprehensive evaluation index system was constructed to measure the resilience of each city from 2003 to *** spatial-temporal evolution characteristics were analyzed using Kernel density estimation,standard deviation ellipse,and spatial Markov chain analysis,and the spatial Tobit model was introduced to discover the influencing *** results indicate the following:①Urban resilience in the Chengdu-Chongqing Economic Circle displays an upward trend,with the center of gravity moving to the southwest,and the polarization phenomenon intensifying.②The urban resilience level in a region has certain spatial and geographical dependence,while the probability of urban resilience transfer differs in adjacent cities with different resilience levels.③Urban centrality,economic scale,openness level,and financial development promote urban resilience,whereas government scale significantly inhibits ***,this paper proposes countermeasures and suggestions to improve the urban resilience of the Chengdu-Chongqing Economic Circle.

关键词： Chengdu-chongqing Economic Circle Urban resilience Spatial-temporal evolution Driving factor

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Recent advances in nickel-based catalysts in eCO_(2)RR for carbon neutrality

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Carbon Energy 2024年第2期6卷 61-91页

作者： Weikang Peng Fengfeng Li shuyi Kong Chenxi Guo Haotian Wu Jiacheng Wang Yi Shen Xianguang Meng Mingxi Zhang Hebei Key Laboratory of Inorganic Nonmetallic Materials School of Materials Science and EngineeringNorth China University of Science and TechnologyTangshanHebeiChina Hebei Iron and Steel Laboratory North China University of Science and TechnologyTangshanChina State Key Laboratory of High Performance Ceramics and Superfine Microstructure Shanghai Institute of CeramicsChinese Academy of SciencesShanghaiChina School of Materials Science and Engineering Taizhou UniversityZhejiangChina

The excessive use of nonrenewable energy has brought about serious greenhouse *** CO_(2) into high-value-added chemicals is undoubtedly the best choice to solve energy *** to the excellent cost-effectiveness and dramatic catalytic performance,nickel-based catalysts have been considered as the most promising candidates for the electrocatalytic CO_(2) reduction reaction(eCO_(2)RR).In this work,the electrocatalytic reduction mechanism of CO_(2) over Ni-based materials is *** strategies to improve the eCO_(2)RR performance are ***,the research on Ni-based materials for syngas generation is briefly ***,the prospects of nickel-based materials in the eCO_(2)RR are provided with the hope of improving transition-metal-based electrocatalysts for eCO_(2)RR in the future.

关键词： carbon energy carbon neutrality CO_(2)reduction electrocatalysis nickel-based materials

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