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food Science and Human Wellness 2025年

作者： Shuangping Liu Mingliang Li Hailong Sun Zhuoyue Zheng Yuezheng Xu Xiao Han Zhilei Zhou Jian Mao National Engineering research center for Cereal Fermentation and food Biomanufacturing， State Key Laboratory of food Science and technology， School of food Science and technology， Jiangnan University Shaoxing Key Laboratory of Traditional Fermentation food and Human Health， Jiangnan University (Shaoxing) Industrial technology research Institute National Engineering research center of Huangjiu， Zhejiang Guyuelongshan Shaoxing Wine Co.， Ltd. Jiangsu Provincial Engineering research center for Bioactive Product Processing， Jiangnan University School of food Science and technology， Shihezi University

This study aimed to gain insight into the interaction and metabolic mechanism between A. flavus SU-16 and S. cerevisiae HJ during co-fermentation. Despite the suppressed transcriptional activity of SU-16， its metabolites exerted a pivotal regulatory influence. The metabolites produced by SU-16 significantly increased the ethanol content to 17.0%. They also significantly increased the contents of crucial flavor substances， including amino acids (at least 5 times) and esters (up to 1100 mg/L). SU-16 produced 130 metabolites that may affect flavor compounds， while HJ mainly controlled the synthesis of 161 compounds. Metabolites of SU-16 with different molecular weights were observed to exert differential regulatory effects on the fermentation process and the metabolic pathway of HJ. The small molecule metabolites of SU-16 promote the growth of HJ significantly. In contrast， its macromolecular metabolites were found to mainly affect the expression of genes related to carbohydrate and amino acid metabolism in the HJ genome.

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Preparations of Mytilus edulis protein hydrolysate-iron complexes and their ameliorative effects on mice with iron deficiency anemia

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food Science and Human Wellness 2025年

作者： Guang Li Xuening Yu Shuling Zhou Xiaoyang Liu Fawen Yin Deyang Li Baocai Xu Dayong Zhou School of food and Biological Engineering， Hefei University of technology SKL of Marine food Processing & Safety Control， National Engineering research center of Seafood， Collaborative Innovation center of Seafood Deep Processing， Liaoning Province Key Laboratory for Marine food Science and technology， School of food Science and technology， Dalian Polytechnic University

Iron is a fundamental trace element essential for the immune system， and current research on iron supplements is increasingly focusing on food-derived peptides capable of binding iron ions. The objectives of this study were to characterize the iron-chelating peptide (MEPH) derived from Mytilus edulis and to investigate the effects of MEPH-Fe complexes on mice with iron deficiency-induced anemia (IDA). MEPH and iron(II) sulfate heptahydrate successfully formed MEPH-Fe complexes under conditions of 4.5 mg/mL concentration， 45 ℃ temperature， and 60 minutes of incubation， utilizing both carboxyl and amino binding sites. Compared to MEPH alone， the MEPH-Fe complexes exhibited fluorescence quenching， ultraviolet shifts， reduced X-ray diffraction peak intensities， stabilization during in vitro digestion， microstructural changes， increased particle size， and decreased absolute values of zeta potential. In the IDA mouse model， the MEPH-Fe complexes were able to restore body weight， hematological indices， organ coefficients， iron content in organs， and antioxidant capacity to normal levels. Additionally， they demonstrated beneficial effects on IDA-induced colonic inflammation by normalizing tumor necrosis factor-alpha (TNF-α) and interleukin-10 (IL-10) levels. The results indicated that MEPH-Fe complexes had more positive effects on IDA mice compared to ferrous sulfate. In conclusion， this study provides valuable insights into the potential of MEPH-Fe complexes as iron supplements.

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Synthesis of intermetallic PtCo fuel cell catalysts from bimetallic core@shell structured nanoparticles

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Journal of Energy Chemistry 2025年第2期101卷 1-6页

作者： Le Zhang Lei Tong Shuai Li Chang-Song Ma Kun-Ze Xue Hai-Wei Liang Hefei National research center for Physical Sciences at the Microscale Department of Chemistry University of Science and Technology of China

The high activity and stability of intermetallic PtCo nanocatalysts toward oxygen reduction reaction make them a top candidate as low-Pt cathode catalysts in proton exchange membrane fuel cells（PEMFCs）.However,forming intermetallic structures typically requires high-temperature annealing,posing a challenge for achieving well-size control and highly ordered *** we report the design and synthesis of bimetallic co re@shell structured precursors for affording high-performance intermetallic PtCo *** fabrication of the core@shell precursor involves using a molecular ligand containing both sulfur and oxygen donors to selectively bind with Pt colloidal nanoparticles as the core and chelate Co ions as the *** high-temperature annealing,the ligand transforms into carbon coatings around alloy nanoparticles,preventing particle sintering;meanwhile,Co ions in the shell can easily diffuse into the Pt core,which helps to increase the thermodynamic driving force for forming intermetallic *** benefits enable us to obtain the catalyst with finely dispersed nanoparticles（～3.5 nm）and a high ordering degree of 72%.With 0.1 mgPt/cm2cathode loading,the catalyst delivers superior performance and durability in PEMFCs,showing an initial mass activity of 0.56 A/mgPt,an initial power density of 1.05 W/cm2at 0.67 V（H2-air）,and a voltage loss of 26 mV at 0.8 A/cm2after the accelerated durability test.

关键词： Bimetallic structure Fuel cells Intermetallic PtCo Oxygen reduction reaction

Unveiling the safe dose range of the conjugated linolenic acid cis9， trans11， cis15-CLNA from Bifidobacterium breve

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food Science and Human Wellness 2025年

作者： Zihuan Wu Haiqin Chen Bo Yang Jianxin Zhao Wei Chen State Key Laboratory of food Science and Resources， Jiangnan University School of food Science and technology， Jiangnan University National Engineering research center for Functional food， Jiangnan University

Previous studies have demonstrated that cis9， trans11， cis15-CLNA (c9， t11， c15-CLNA)， a metabolite of Bifidobacterium breve CCFM683， possesses anti-inflammatory properties in the intestine. However， its safety profile remains unexplored. This study establishes the safe dose range for c9， t11， c15-CLNA and investigate the potential damage pathways. The results indicate that the maximum safe dose for mice is lower than 625 mg/kg， primarily due to hepatocyte damage. In cellular experiments revealed that an overdose of c9， t11， c15-CLNA activates peroxisome proliferator-activated receptor gamma (PPAR-γ)， leading to hepatic lipid accumulation. The addition of the PPAR-γ inhibitor partially mitigated this effect. In summary， this study established that the maximum tolerated dose of c9， t11， c15-CLNA in healthy adult C57BL/6N mice is 625 mg/kg. For human application， the estimated safe dose is below 50.62 mg/kg. Additionally， c9， t11， c15-CLNA was found to activate the PPARγ protein in the liver， leading to lipid accumulation within hepatic tissue.

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Lactobacillus plantarum AR1074 alleviates rheumatoid arthritis by remodeling gut microbes and reducing inflammatory response

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food Science and Human Wellness 2025年

作者： Junlin Shao Jia Xiao Keshun Chen Guangqiang Wang Zhiqiang Xiong Xin Song Yongjun Xia Lianzhong Ai School of Healthy Science and Engineering， Shanghai Engineering research center of food Microbiology， University of Shanghai for Science and technology

Rheumatoid arthritis (RA) is a chronic autoimmune inflammatory disease， and emerging research suggests a significant role for gut microbiota in its pathogenesis. Previous studies have underscored the involvement of Lactobacillus species in modulating RA. Our study identifies a deficiency of Lactobacillus in RA patients. Utilizing animal models， we investigated the effects of Lactobacillus plantarum AR1074 intervention on rheumatoid and inflammatory markers in the serum and synovial joints of RA rats. Our findings indicate that AR1074 effectively mitigates oxidative stress in RA rats. Furthermore， AR1074 mitigated rheumatoid arthritis (RA) symptoms through the upregulation of intestinal tight junction proteins， modulation of short-chain fatty acid concentrations， and diversification of the gut microbiota.

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RE-SEGNN:recurrent semantic evidence-aware graph neural network for temporal knowledge graph forecasting

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Science China(Information Sciences) 2025年第2期68卷 103-119页

作者： Wenyu CAI Mengfan LI Xuanhua SHI Yuanxin FAN Quntao ZHU Hai JIN National Engineering research center for Big Data technology and System Services Computing Technology and System LabCluster and Grid Computing LabSchool of Computer Science and TechnologyHuazhong University of Science and Technology

Temporal knowledge graph(TKG) reasoning, has seen widespread use for modeling real-world events, particularly in extrapolation settings. Nevertheless, most previous studies are embedded models, which require both entity and relation embedding to make predictions, ignoring the semantic correlations among different entities and relations within the same timestamp. This can lead to random and nonsensical predictions when unseen entities or relations occur. Furthermore, many existing models exhibit limitations in handling highly correlated historical facts with extensive temporal depth. They often either overlook such facts or overly accentuate the relationships between recurring past occurrences and their current counterparts. Due to the dynamic nature of TKG, effectively capturing the evolving semantics between different timestamps can be *** address these shortcomings, we propose the recurrent semantic evidenceaware graph neural network(RE-SEGNN), a novel graph neural network that can learn the semantics of entities and relations simultaneously. For the former challenge, our model can predict a possible answer to missing quadruples based on semantics when facing unseen entities or relations. For the latter problem, based on an obvious established force, both the recency and frequency of semantic history tend to confer a higher reference value for the current. We use the Hawkes process to compute the semantic trend, which allows the semantics of recent facts to gain more attention than those of distant facts. Experimental results show that RE-SEGNN outperforms all SOTA models in entity prediction on 6 widely used datasets, and 5 datasets in relation prediction. Furthermore, the case study shows how our model can deal with unseen entities and relations.

关键词： knowledge graph reasoning temporal knowledge graph Hawkes process semantic evidence

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Software-defined process-near-memory architecture using 3D hybrid bonding integration

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Science China(Information Sciences) 2025年第1期68卷 366-378页

作者： Anlin XU Chenchen DENG Jianfeng ZHU Yao WANG Shaojun WEI Leibo LIU School of Integrated Circuits Tsinghua University Beijing Institution of Tracking and Communication technology Beijing National research center for Information Science and technology Tsinghua University

With the unprecedented explosive growing amount of global data, the development of computing chips, which encounter bottlenecks such as power wall and memory wall, cannot satisfy the demanding requirement. This work proposes a software-defined process-near-memory(SDPNM) computing architecture implemented using 3D hybrid bonding *** software-defined chip architecture, featuring spatial computations and dynamic reconfiguration, innovates in a top-down manner to achieve high energy efficiency while maintaining flexibility after fabrication. The process-near-memory integration further advances the SDNPM chip in a bottom-up way to reduce the energy consumption of data movement while improving the bandwidth. Utilizing a relatively mature fabrication and bonding process can result in feasible solutions for both data-intensive and compute-intensive applications including digital signal processing and artificial intelligence. The logic die is fabricated in the SMIC 40 nm process and the DRAM die is fabricated in the PSMC 25 nm process. The hybrid bonding is implemented by XMC. The experimental results show that the energy efficiency of the proposed SDPNM chip is 33.1× better than the state-of-the-art FPGA ranging from 8.2× to 104.1×.

关键词： software-defined chips process near memory energy efficiency dynamic reconfiguration domain specific

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Status analysis on sputtering and erosion evaluation methods of ion optic systems

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Chinese Journal of Aeronautics 2025年第1期38卷 254-270页

作者： Long MIAO Tongxun YANG Zhengxi ZHU Chang LU Zhiwen WU Ningfei WANG School of Aerospace Engineering Beijing Institute of TechnologyBeijing 100081China Chongqing Innovation center Beijing Institute of TechnologyChongqing 404100China Advanced Aerospace Power and Energy research center Beijing Institute of TechnologyZhuhai 519088China

In the past few decades,ion engines have been widely used in deep-space propulsion and satellite *** aim of extending the thruster lifetime is still one of the most important parts during the design stage of ion *** one of the core components of ion engine,the grid assembly of ion optic systems may experience long-term ion sputtering in extreme electro-thermal environments,which will eventually lead to its structural and electron-backstreaming *** this paper,the current studies of the grid assembly erosion process are systematically analyzed from the aspects of sputtering damage process of grid materials,numerical simulations,and measurements of erosion characteristics of grid *** advantages and disadvantages of various erosion prediction models are highlighted,and the key factors and processes affecting the prediction accuracy of grid assembly erosion patterns are *** different types of experimental methods of grid assembly erosion patterns are *** analysis in this paper is of great importance for selecting the sputter-resistant grid materials,as well as establishing the erosion models and measurement methods to accurately determine the erosion rate and failure modes of grid ***,the working conditions and structure parameters of ion optic systems could be optimized based on erosion models to promote the ion engine lifetime.

关键词： Electric propulsion Ion optic systems Sputtering yield Erosion characteristics Erosion pattern measurement Lifetime evaluation

Lactobacillus acidophilus FCQHC4L1 strengthens the intestinal mucus barrier and inhibits endoplasmic reticulum stress

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food Science and Human Wellness 2025年第1期14卷 78-90页

作者： Yuli Qi Leilei Yu Fengwei Tian Wei Chen Xiaoming Liu Qixiao Zhai State Key Laboratory of food Science and technology Jiangnan UniversityWuxi 214122China School of food Science and technology Jiangnan UniversityWuxi 214122China National Engineering research center for Functional food Jiangnan UniversityWuxi 214122China

Mucin 2(MUC2)is a critical component of the intestinal mucus *** acid bacteria(LAB)strains can improve mucosal *** this study,we determined the expression of Muc2 induced by dead bacteria and cell-free conditioned medium(CM)of 50 LAB strains in the human goblet cell line,*** bacteria or CM of LAB affected the Muc2 expression in a species-and strain-specific manner under ***,LAB strains with different regulatory abilities were selected,gavaged into mice,and exposed to dextran sodium sulfate(DSS)after 1 *** LAB strains inhibited intestinal injury to different degrees,with Lactobacillus acidophilus FCQHC4L1 exerting the most potent ***4L1 significantly decreased the secretion of pro-inflammatory factors,promoted the expression and secretion of mucin,and inhibited colitis *** strain also regulated the gut microbiota and increased the secretion of butyric ***,CM of FCQHC4L1 inhibited endoplasmic reticulum(ER)stress and ameliorated the abnormal expression of MUC2 by suppressing the activation of the GRP78/ATF6 and GRP78/IRE1/XBP1 signaling *** results highlight the potential of FCQHC4L1 as a therapeutic agent for strengthening the mucus barrier and improving the gut health.

关键词： Mucin Probiotic Lactobacillus acidophilus Gut microbiota Endoplasmic reticulum(ER)stress

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Evaluating complementaries among urban water,energy,infrastructure,and social Sustainable Development Goals in China

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Journal of Environmental Sciences 2025年第3期149卷 585-597页

作者： Ke Yu Yifan Song Jin Lin Shen Qu School of Management and Economics Beijing Institute of TechnologyBeijing 100081China center for Energy&Environmental Policy research Beijing Institute of TechnologyBeijing 100081China

Urban areas’performance in water,energy,infrastructure,and socio-economic sectors is intertwined and measurable through Sustainable Development Goals(SDGs)6–*** synergy among these is critical for *** study constructs an indicator framework that reflects progress towards these urban SDGs in *** indicate underperformance in SDGs 8–11,suggesting the need for transformative *** network analysis,the research reveals complementarities among these ***,the SDG space divides into socio-economic and ecological clusters,with SDG 6(Clean Water and Sanitation)central to ***,SDG 8(Decent Work and Economic Growth)and SDG 9(Industry,Innovation,and Infrastructure)act as bridges,while greater synergies exist between SDG 12(Responsible Consumption and Production)and SDG 13(Climate Action).An in-depth view at the indicator-level shows a core-periphery structure,emphasizing indicators like SDG 6.2(Wastewater Treatment Rate)and SDG 6.6(Recycled Water Production Capacity per capita)as *** study confirms the urban SDG space’s stability and predictiveness,underscoring its value in steering well-aligned policy decisions for sustainable growth.

关键词： Sustainable development goals Synergy Urban development Policy decisions