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Magnesium-L-threonate treats Alzheimer's disease by modulating the microbiota-gut-brain axis

Neural Regeneration Research 2024年第10期19卷 2281-2289页

作者： Wang Liao Jiana Wei Chongxu Liu Haoyu Luo yuting ruan Yingren Mai Qun yu Zhiyu Cao Jiaxin xu dong Zheng Zonghai Sheng Xianju Zhou Jun Liu Department of Neurology The Second Affiliated Hospital of Guangzhou Medical UniversityGuangzhouGuangdong ProvinceChina Special Medical Service Center Neuroscience CenterIntegrated Hospital of Traditional Chinese MedicineSouthern Medical UniversityGuangdongGuangdong ProvinceChina Department of Rehabilitation The Second Affiliated HospitalGuangzhou Medical UniversityGuangzhouGuangdong ProvinceChina Department of Neurology Sun Yat-sen Memorial HospitalSun Yat-sen UniversityGuangzhouGuangdong ProvinceChina Department of Neurology The Affiliated Brain Hospital of Guangzhou Medical UniversityGuangzhouGuangdong ProvinceChina Institute of Biomedical and Health Engineering Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdong ProvinceChina

Disturbances in the microbiota-gut-brain axis may contribute to the development of Alzheimer's disease. Magnesium-L-threonate has recently been found to have protective effects on learning and memory in aged and Alzheimer's disease model mice. However, the effects of magnesium-L-threonate on the gut microbiota in Alzheimer's disease remain unknown. Previously, we reported that magnesium-L-threonate treatment improved cognition and reduced oxidative stress and inflammation in a double-transgenic line of Alzheimer's disease model mice expressing the amyloid-β precursor protein and mutant human presenilin 1(APP/PS1). Here, we performed 16S r RNA amplicon sequencing and liquid chromatography-mass spectrometry to analyze changes in the microbiome and serum metabolome following magnesium-Lthreonate exposure in a similar mouse model. Magnesium-L-threonate modulated the abundance of three genera in the gut microbiota, decreasing Allobaculum and increasing Bifidobacterium and Turicibacter. We also found that differential metabolites in the magnesiumL-threonate-regulated serum were enriched in various pathways associated with neurodegenerative diseases. The western blotting detection on intestinal tight junction proteins(zona occludens 1, occludin, and claudin-5) showed that magnesium-L-threonate repaired the intestinal barrier dysfunction of APP/PS1 mice. These findings suggest that magnesium-L-threonate may reduce the clinical manifestations of Alzheimer's disease through the microbiota-gut-brain axis in model mice, providing an experimental basis for the clinical treatment of Alzheimer's disease.

关键词： Alzheimer's disease APP/PS1 double-transgenic Alzheimer's disease mouse model inflammation intestinal barrier dysfunction magnesium-L-threonate microbiome microbiota-gut-brain axis oxidative stress serum metabolites

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Benchmark experiment on slab^(238)U with D-T neutrons for validation of evaluated nuclear data

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Nuclear Science and Techniques 2024年第2期35卷 145-159页

作者： Yan-Yan Ding yang-Bo Nie yue Zhang Zhi-Jie Hu Qi Zhao Huan-yu Zhang Kuo-Zhi xu Shi-yu Zhang Xin-Yi Pan Chang-Lin Lan Jie Ren Xi-Chao ruan Key Laboratory of Nuclear Data China Institute of Atomic EnergyBeijing 102413China School of Nuclear Science and Technology Lanzhou UniversityLanzhou 730000China Institute of Fluid Physics China Academy of Engineering PhysicsMianyang 62100China

A benchmark experiment on^(238)U slab samples was conducted using a deuterium-tritium neutron source at the China Institute of Atomic *** leakage neutron spectra within energy levels of 0.8-16 MeV at 60°and 120°were measured using the time-of-flight *** samples were prepared as rectangular slabs with a 30 cm square base and thicknesses of 3,6,and 9 *** leakage neutron spectra were also calculated using the MCNP-4C program based on the latest evaluated files of^(238)U evaluated neutron data from CENDL-3.2,ENDF/B-Ⅷ.0,JENDL-5.0,and *** on the comparison,the deficiencies and improvements in^(238)U evaluated nuclear data were *** results showed the following.(1)The calculated results for CENDL-3.2 significantly overestimated the measurements in the energy interval of elastic scattering at 60°and 120°.(2)The calculated results of CENDL-3.2 overestimated the measurements in the energy interval of inelastic scattering at 120°.(3)The calculated results for CENDL-3.2 significantly overestimated the measurements in the 3-8.5 MeV energy interval at 60°and 120°.(4)The calculated results with JENDL-5.0 were generally consistent with the measurement results.

关键词： Leakage neutron spectra Uranium D-T neutron source Evaluated nuclear data

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Enhancing source domain availability through data and feature transfer learning for building power load forecasting

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Building Simulation 2024年第4期17卷 625-638页

作者： Fanyue Qian Yingjun ruan Huiming Lu Hua Meng Tingting xu College of Mechanical and Energy Engineering Tongji UniversityShanghai200092China United Automotive Electronic Systems Co. LtdShanghai201206China

During the initial phases of operation following the construction or renovation of existing buildings,the availability of historical power usage data is limited,which leads to lower accuracy in load forecasting and hinders normal ***,by transferring load data from similar buildings,it is possible to enhance forecasting ***,indiscriminately expanding all source domain data to the target domain is highly likely to result in negative transfer *** study explores the feasibility of utilizing similar buildings(source domains)in transfer learning by implementing and comparing two distinct forms of multi-source transfer ***,this study focuses on the Higashita area in Kitakyushu City,Japan,as the research *** buildings that exhibit the highest similarity to the target buildings within this area were selected for ***,the two-stage TrAdaBoost.R^(2) algorithm is used for multi-source transfer learning,and its transfer effect is ***,the application effects of instance-based(IBMTL)and feature-based(FBMTL)multi-source transfer learning are compared,which explained the effect of the source domain data on the forecasting accuracy in different transfer *** results show that combining the two-stage TrAdaBoost.R^(2) algorithm with multi-source data can reduce the CV-RMSE by 7.23%compared to a single-source domain,and the accuracy improvement is *** the same time,multi-source transfer learning,which is based on instance,can better supplement the integrity of the target domain data and has a higher forecasting ***,IBMTL tends to retain effective data associations and FBMTL shows higher forecasting *** findings of this study,which include the verification of real-life algorithm application and source domain availability,can serve as a theoretical reference for implementing transfer learning in load forecasting.

关键词： building power load multi-source transfer learning two-stage TrAdaBoost.R2 source domain availability

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PFL-DSSE:A Personalized Federated Learning Approach for Distribution System State Estimation

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CSEE Journal of Power and Energy Systems 2024年第5期10卷 2265-2270页

作者： Huayi Wu Zhao xu Jiaqi ruan Xianzhuo Sun Department of Electrical and Electronic Engineering The Hong Kong Polytechnic UniversityHong Kong SARChina Department of Electrical and Electronic Engineering Shenzhen Research InstituteResearch Institute of Smart EnergyThe Hong Kong Polytechnic UniversityHong Kong SARChina. Department of Electrical and Electronic Engineering The Hong Kong Polytechnic UniversityHong Kong SARChina.

A centralized framework-based data-driven framework for active distribution system state estimation(DSSE)has been widely ***,it is challenged by potential data privacy breaches due to the aggregation of raw measurement data in a data center.A personalized federated learningbased DSSE method(PFL-DSSE)is proposed in a decentralized training framework for *** validation confirms that PFL-DSSE can effectively and efficiently maintain data confidentiality and enhance estimation accuracy.

关键词： Terms-Distribution system state estimation personalized federated learning privacy protection

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Surface roughness classification using light scattering matrix and deep learning

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Science China(Technological Sciences) 2024年第2期67卷 520-535页

作者： SUN Hao TAN Wei ruan YiXiao BAI Long xu JianFeng State Key Laboratory of Intelligent Manufacturing Equipment and Technology School of Mechanical Science and EngineeringHuazhong University of Science and TechnologyWuhan 430074China Wuhan Digital Design and Manufacturing Innovation Center Co. LtdWuhan 430074China

High-quality optical components have been widely used in various applications;thus,extremely high beam quality is ***,surface roughness is a key indicator of the surface *** this study,the angular distribution of light scattering field intensity was obtained for surfaces having different roughness profiles based on the finite difference time domain(FDTD)method,and the results were compared with those obtained using the generalized Harvey-Shack(GHS)*** was shown that the FDTD approach can be used for an accurate simulation of the scattered field of a rough surface,and the superposition of results obtained from many surfaces that have the same roughness level was in good agreement with the result given by the analytic GHS model.A light scattering matrix(LSM)method was proposed based on the FDTD simulation results that could obtain rich surface roughness *** classification effect of LSM was compared with that of the single-incidence scattering distribution(SISD)based on a ResNet-50 deep learning *** classification accuracy of the model trained with the LSM dataset was obtained as 95.74%,which was 23.40%higher than that trained using the SISD ***,the effects of different noise types and filtering methods on the classification performance were analyzed,and the LSM was also shown to improve the robustness and generalizability of the trained surface roughness ***,the proposed LSM method has important implications for improving the data acquisition scheme of current light scattering measurement systems,and it also has the potential to be used for detection and characterization of surface defects of optical components.

关键词： surface roughness FDTD simulation GHS theory deep learning light scattering matrix

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Inverse Calculation and Regularization Process for the Solar Aspect System(SAS) of HXI Payload on ASO-S Spacecraft

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Research in Astronomy and Astrophysics 2024年第4期24卷 13-34页

作者： Ji-Rui yu Ping ruan yang Su Ying-Hong He Jin-You Tao Zhe Zhang Song Guo Bin xue Jian-Feng yang Xi'an Institute of Optics and Precision Mechanics of Chinese Academy of Sciences Xi'an 710119China University of Chinese Academy of Sciences Beijing 100049China Key Laboratory of Dark Matter and Space Astronomy Purple Mountain ObservatoryChinese Academy of SciencesNanjing 20034China School ofAstronomy and Space Science Universityof Science and Technology of ChinaHefei 230026China

For the ASO-S/HXI payload, the accuracy of the flare reconstruction is reliant on important factors such as the alignment of the dual grating and the precise measurement of observation orientation. To guarantee optimal functionality of the instrument throughout its life cycle, the Solar Aspect System (SAS) is imperative to ensure that measurements are accurate and reliable. This is achieved by capturing the target motion and utilizing a physical model-based inversion algorithm. However, the SAS optical system’s inversion model is a typical ill-posed inverse problem due to its optical parameters, which results in small target sampling errors triggering unacceptable shifts in the solution. To enhance inversion accuracy and make it more robust against observation errors, we suggest dividing the inversion operation into two stages based on the SAS spot motion model. First, the as-rigid-aspossible (ARAP) transformation algorithm calculates the relative rotations and an intermediate variable between the substrates. Second, we solve an inversion linear equation for the relative translation of the substrates, the offset of the optical axes, and the observation orientation. To address the ill-posed challenge, the Tikhonov method grounded on the discrepancy criterion and the maximum a posteriori (MAP) method founded on the Bayesian framework are utilized. The simulation results exhibit that the ARAP method achieves a solution with a rotational error of roughly±3 5 (1/2-quantile);both regularization techniques are successful in enhancing the stability of the solution, the variance of error in the MAP method is even smaller—it achieves a translational error of approximately±18μm (1/2-quantile) in comparison to the Tikhonov method’s error of around±24μm (1/2-quantile). Furthermore, the SAS practical application data indicates the method’s usability in this study. Lastly, this paper discusses the intrinsic interconnections between the regularization methods.

关键词： methods:data analysis Sun:flares Sun:X-rays gamma rays

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Finite Difference-Peridynamic Differential Operator for Solving Transient Heat Conduction Problems

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Computer Modeling in Engineering & Sciences 2024年第9期140卷 2707-2728页

作者： Chunlei ruan Cengceng dong Zeyue Zhang Boyu Chen Zhijun Liu School of Mathematics&Statistics Henan University of Science&TechnologyLuoyang471023China Longmen Laboratory Luoyang471023China

Transient heat conduction problems widely exist in *** previous work on the peridynamic differential operator(PDDO)method for solving such problems,both time and spatial derivatives were discretized using the PDDO method,resulting in increased complexity and programming *** this work,the forward difference formula,the backward difference formula,and the centered difference formula are used to discretize the time derivative,while the PDDO method is used to discretize the spatial *** new schemes for solving transient heat conduction equations have been developed,namely,the forward-in-time and PDDO in space(FT-PDDO)scheme,the backward-in-time and PDDO in space(BT-PDDO)scheme,and the central-in-time and PDDO in space(CT-PDDO)*** stability and convergence of these schemes are analyzed using the Fourier method and Taylor’s *** show that the FT-PDDO scheme is conditionally stable,whereas the BT-PDDO and CT-PDDO schemes are unconditionally *** stability conditions for the FT-PDDO scheme are less stringent than those of the explicit finite element method and explicit finite difference *** convergence rate in space for these three methods is *** constructed schemes are applied to solve one-dimensional and two-dimensional transient heat conduction *** accuracy and validity of the schemes are verified by comparison with analytical solutions.

关键词： Peridynamic differential operator finite difference method stability transient heat conduction problem

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Black phosphorus quantum dots induce myocardial inflammatory responses and metabolic disorders in mice

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Journal of Environmental Sciences 2024年第3期137卷 53-64页

作者： Chao Shen Xiaoyan Ding Jinpeng ruan Fengkai ruan Weiping Hu Jiyi Huang Chengyong He Yi yu Zhenghong Zuo Department of Nephrology State Key Laboratory of Cellular Stress BiologySchool of Life SciencesFaculty of Medicine and Life SciencesFujian Clinical Research Center for Chronic Glomerular DiseaseThe First Affiliated Hospital of Xiamen UniversitySchool of MedicineXiamen UniversityXiamen 361102China

As an ultrasmall derivative of black phosphorus(BP)sheets,BP quantum dots(BP-QDs)have been effectively used in many ***,information on the cardiotoxicity induced by BP-QDs remains *** aimed to evaluate BP-QD-induced cardiac toxicity in *** examination of heart tissue sections was *** sequencing,real-time quantitative PCR(RT–qPCR),western blotting,and enzyme-linked immunosorbent assay(ELISA)assays were used to detect the m RNA and/or protein expression of proinfammatory cytokines,nuclear factor kappa B(NF-κB),phosphatidylinositol3 kinase-protein kinase B(PI3K-AKT),peroxisome proliferator-activated receptor gamma(PPARγ),and glucose/lipid metabolism pathway-related *** found that heart weight and heart/body weight index(HBI)were significantly reduced in mice after intragastric administration of 0.1 or 1 mg/kg BP-QDs for 28 *** addition,obvious infammatory cell infiltration and increased cardiomyocyte diameter were observed in the BP-QD-treated *** expression of proinfammatory cytokines and genes related to the NF-κB signaling pathway further confirmed that BP-QD exposure induced infammatory *** addition,BP-QD treatment also affected the PI3K-AKT,PPARγ,thermogenesis,oxidative phosphorylation,and cardiac muscle contraction signaling *** expression of genes related to glucose/lipid metabolism signaling pathways was dramatically affected by BP-QD exposure,and the effect was primarily mediated by the PPAR signaling *** study provides new insights into the toxicity of BP-QDs to human health.

关键词： BP-QDs Cardiac toxicity Infammatory responses NF-κB signaling pathway PPARγsignaling pathway Glucose/lipid metabolism

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Learning Top-K Subtask Planning Tree Based on Discriminative Representation Pretraining for Decision-making

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Machine Intelligence Research 2024年第4期21卷 782-800页

作者： Jingqing ruan Kaishen Wang Qingyang Zhang Dengpeng Xing Bo xu Institute of Automation Chinese Academy of SciencesBeijing 100190China School of Future Technology University of Chinese Academy of SciencesBeijing 100049China School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China

Decomposing complex real-world tasks into simpler subtasks and devising a subtask execution plan is critical for humans to achieve effective ***,replicating this process remains challenging for AI agents and naturally raises two questions:(1)How to extract discriminative knowledge representation from priors?(2)How to develop a rational plan to decompose complex problems?To address these issues,we introduce a groundbreaking framework that incorporates two main ***,our multiple-encoder and individual-predictor regime goes beyond traditional architectures to extract nuanced task-specific dynamics from datasets,enriching the feature space for ***,we innovate in planning by introducing a top-K subtask planning tree generated through an attention mechanism,which allows for dynamic adaptability and forward-looking *** framework is empirically validated against challenging benchmarks BabyAI including multiple combinatorially rich synthetic tasks(e.g.,GoToSeq,SynthSeq,BossLevel),where it not only outperforms competitive baselines but also demonstrates superior adaptability and effectiveness incomplex task decomposition.

关键词： Reinforcement learning representation learning subtask planning task decomposition pretraining.

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Suppressor tRNA in gene therapy

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Science China(Life Sciences) 2024年第10期67卷 2120-2131页

作者： Jingjing ruan Xiaoxiao yu Huixia xu Wenrui Cui Kaiye Zhang Chenyang Liu Wenlong Sun Xiaodan Huang Lei An yue Zhang The Children's Hospital National Clinical Research Center for Child HealthZhejiang University School of MedicineLiangzhu LaboratoryHangzhou 310000China Liangzhu Laboratory Zhejiang University School of MedicineHangzhou 311121China Department of Thoracic and Cardiovascular Surgery Huaihe Hospital of Henan UniversityHenan UniversityKaifeng 475000China Translational Medicine Center Huaihe Hospital of Henan UniversityHenan UniversityKaifeng 475000China Eye Center The Second Affiliated HospitalSchool of MedicineZhejiang UniversityHangzhou 310009China

Suppressor tRNAs are engineered or naturally occurring transfer RNA molecules that have shown promise in gene therapy for diseases caused by nonsense mutations,which result in premature termination codons(PTCs)in coding sequence,leading to truncated,often nonfunctional *** t RNAs can recognize and pair with these PTCs,allowing the ribosome to continue translation and produce a full-length *** review introduces the mechanism and development of suppressor t RNAs,compares suppressor tRNAs with other readthrough therapies,discusses their potential for clinical therapy,limitations,and *** also summarize the applications of suppressor tRNAs in both in vitro and in vivo,offering new insights into the research and treatment of nonsense mutation diseases.

关键词： suppressor tRNA PTC nonsense mutation readthrough gene therapy

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