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Integrating lipidomics and gut microbiota to study the anti-hyperlipidemia effect of Sargentodoxae Caulis extract

Traditional Medicine Research 2025年第1期10卷 1-11页

作者： Xiao-Xiao Zhang li Jia Xiu-Jun Zhan Charity Ngina Qing-Rui Zhang Xiao-Ge li Qi-Bao jiang Shi Bai Miao-Miao jiang National Key Laboratory of Chinese Medicine Modernization Tianjin University of Traditional Chinese MedicineTianjin 301617China Haihe Laboratory of Modern Chinese Medicine Tianjin 301617China School of Medicine Taizhou UniversityTaizhou 318000China.

Background:Sargentodoxae Caulis(SC)is the vine stem of Sargentodoxa Cuneata(Oliv.)Rehd.&*** in ***,and it in traditional Chinese medicine has been known for promoting blood circulation and removing blood stasis as recorded in the ancient book“Illustrated Classics of Materia Medica”.It has been used effectively to treat blood stasis too in modern clinical ***,the anti-hyperlipidemia effect of SC is not fully *** paper aims at exploring the use of SC stems to improve the balance of blood lipids in the body,and its new role in treating ***:The effects of SC extract on hyperlipidemia were explored by combining lipidomics and gut ***,we explored the potential mechanism of SC in treating hyperlipidemia by pathway ***:The results showed that the stem extract of SC could restore the physiological and biochemical indices of hyperlipidemia in mice,as well as repair the morphological and structural damage to *** to the Model group,the SC extract significantly reduced the liver index,epididymal fat index,and Lee’s *** also significantly decreased serum levels of total cholesterol,triglycerides,low-density lipoprotein cholesterol,peroxisome proliferator-activated receptor gamma(PPAR-γ),D-lactate,and free fatty acids,while significantly increasing the relative content of peroxisome proliferator-activated receptor alpha(PPAR-α).These changes were statistically ***-targeted lipidomics,based on LC-MS,were utilized to investigate the lipid metabolism characteristics in serum,liver,and epididymal fat of the *** was observed that,compared to the blank group,the Model group exhibited significant changes primarily in glycerol lipids and *** treatment group also displayed alterations in these lipids.A total of 38,81,and 27 differential lipids were identified in serum,liver,and epididymal fat samples,*** these,14 common differenti

关键词： hyperlipidemia Sargentodoxae Caulis lipidomics intestinal flora

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Ideal Bi‑Based Hybrid Anode Material for Ultrafast Charging of Sodium‑Ion Batteries at Extremely Low Temperatures

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Nano-Micro Letters 2025年第3期17卷 152-167页

作者： Jie Bai Jian Hui Jia Yu Wang Chun Cheng Yang Qing jiang Key Laboratory of Automobile Materials(Jilin University) Ministry of EducationSchool of Materials Science and EngineeringJilin UniversityChangchun 130022People’s Republic of China

Sodium-ion batteries have emerged as competitive substitutes for low-temperature applications due to severe capacity loss and safety concerns of lithium-ion batteries at−20°C or ***,the key capability of ultrafast charging at ultralow temperature for SIBs is rarely ***,a hybrid of Bi nanoparticles embedded in carbon nanorods is demonstrated as an ideal material to address this issue,which is synthesized via a high temperature shock *** a hybrid shows an unprecedented rate performance(237.9 mAh g^(−1)at 2 A g^(−1))at−60℃,outperforming all reported SIB anode *** with a Na_(3)V_(2)(PO_(4))_(3)cathode,the energy density of the full cell can reach to 181.9 Wh kg^(−1)at−40°*** on this work,a novel strategy of high-rate activation is proposed to enhance performances of Bi-based materials in cryogenic conditions by creating new active sites for interfacial reaction under large current.

关键词： Bi nanoparticles High temperature shock High-rate activation Ultrafast charging Low-temperature sodium-ion batteries

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Role of the globus pallidus in motor and non-motor symptoms of Parkinson's disease

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Neural Regeneration Research 2025年第6期20卷 1628-1643页

作者： Yimiao jiang Zengxin Qi Huixian Zhu Kangli Shen Ruiqi liu Chenxin Fang Weiwei Lou Yifan jiang Wangrui Yuan Xin Cao liang Chen Qianxing Zhuang Department of Physiology School of MedicineNantong UniversityNantongJiangsu ProvinceChina Department of Neurosurgery Huashan HospitalShanghai Medical CollegeFudan UniversityShanghaiChina National Center for Neurological Disorders ShanghaiChina Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration ShanghaiChina State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science Institute of Brain ScienceFudan UniversityShanghaiChina

The globus pallidus plays a pivotal role in the basal ganglia circuit. Parkinson's disease is characterized by degeneration of dopamine-producing cells in the substantia nigra, which leads to dopamine deficiency in the brain that subsequently manifests as various motor and non-motor symptoms. This review aims to summarize the involvement of the globus pallidus in both motor and non-motor manifestations of Parkinson's disease. The firing activities of parvalbumin neurons in the medial globus pallidus, including both the firing rate and pattern, exhibit strong correlations with the bradykinesia and rigidity associated with Parkinson's disease. Increased beta oscillations, which are highly correlated with bradykinesia and rigidity, are regulated by the lateral globus pallidus. Furthermore,bradykinesia and rigidity are strongly linked to the loss of dopaminergic projections within the cortical-basal ganglia-thalamocortical loop. Resting tremors are attributed to the transmission of pathological signals from the basal ganglia through the motor cortex to the cerebellum-ventral intermediate nucleus circuit. The cortico–striato–pallidal loop is responsible for mediating pallidi-associated sleep disorders. Medication and deep brain stimulation are the primary therapeutic strategies addressing the globus pallidus in Parkinson's disease. Medication is the primary treatment for motor symptoms in the early stages of Parkinson's disease, while deep brain stimulation has been clinically proven to be effective in alleviating symptoms in patients with advanced Parkinson's disease,particularly for the movement disorders caused by levodopa. Deep brain stimulation targeting the globus pallidus internus can improve motor function in patients with tremordominant and non-tremor-dominant Parkinson's disease, while deep brain stimulation targeting the globus pallidus externus can alter the temporal pattern of neural activity throughout the basal ganglia–thalamus network. Therefore, the comp

关键词： anxiety basal ganglia bradykinesia deep brain stimulation depression globus pallidus externus globus pallidus internus lateral globus pallidus medial globus pallidus neural circuit Parkinson's disease

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蝎毒素BmkTXKβ对家兔心房肌细胞瞬间外向钾电流的抑制作用

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生物化学与生物物理进展 2003年第2期30卷 266-271页

作者：胡丹黄从新江洪李庚山曹志贱李文鑫王世敏武汉大学人民医院心内科武汉430060 武汉大学生命科学学院武汉430072 UniversityatBuffalo

为研究蝎毒素BmkTXKβ对家兔心房肌细胞瞬间外向钾电流 (Ito)的影响 ,采用全细胞膜片钳技术记录应用BmkTXKβ前后的Ito电流 .结果显示BmkTXKβ (1μmol/L)使心房肌细胞Ito (刺激电压为 +5 0mV)从(13 6 3± 0 87)pA/ pF减少到 (7 98± 0... 详细信息

为研究蝎毒素BmkTXKβ对家兔心房肌细胞瞬间外向钾电流 (Ito)的影响 ,采用全细胞膜片钳技术记录应用BmkTXKβ前后的Ito电流 .结果显示BmkTXKβ (1μmol/L)使心房肌细胞Ito (刺激电压为 +5 0mV)从(13 6 3± 0 87)pA/ pF减少到 (7 98± 0 78) pA/pF ,抑制率为 4 1 4 % (n =16 ,P 0 0 5 ) .1μmol/L的BmkTXKβ可使Ito通道的失活动力学曲线明显左移 ,V1/ 2 分别为 (- 2 3 6± 2 7)mV和 (- 35 3± 3 6 )mV(n =8,P <0 0 5 ) ,曲线斜率基本不变 .同时可使Ito通道的恢复过程明显减慢 ,恢复曲线右移 ,τ值从 (5 1 2±8 5 )ms延长至 (93 5± 13 4 )ms (n =9,P <0 0 1) ,但不影响其激活过程 .据此推断BmkTXKβ对家兔心房肌细胞Ito具有显著的抑制作用 ,主要作用于失活过程。

关键词：蝎毒素 BmkTXKβ 家兔心房肌细胞瞬间外向钾电流抑制作用全细胞膜片钳

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Bifunctional bridging capping layer enables 24.5% efficiency of perovskite solar cells with polymer-based hole transport materials

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Science China Chemistry 2025年第1期 350-359页

作者： Can Zhu Yiyang Wang Lei Meng Beibei Qiu Jing li Shucheng Qin Ke Hu Xin jiang Wenbin Lai Minchao liu Zhe liu Chenxing Lu Jinyuan Zhang Yongfang li Beijing National Laboratory for Molecular Sciences CAS Key Laboratory of Organic Solids Institute of Chemistry Chinese Academy of Sciences School of Chemical Science University of Chinese Academy of Sciences Key Laboratory of Solid State Optoelectronic Devices of Zhejiang Province College of Physics and Electronic Information Engineering Zhejiang Normal University Key Laboratory of Photochemical Conversion and Optoelectronic Materials Technical Institute of Physics and ChemistryChinese Academy of Sciences Laboratory of Advanced Optoelectronic Materials College of Chemistry Chemical Engineering and Materials ScienceSoochow University

Developing a bridge capping layer between perovskite and hole transport layer materials（HTMs） in the n-i-p perovskite solar cells（pero-SCs） is an effective approach to modify the morphology of HTMs and passivate the perovskite ***, we select the quinoxaline-based bifunctional passivation agent, quinoxalin-6-yl-methylamine hydrochloride（Qx MACl）,as the bridging layer, and a D-A copolymer PBQ12 containing the same quinoxaline unit as an HTM for the n-i-p pero-SCs. Due to the π-π stacking among the common quinoxaline units in the bridge layer and HTM, Qx MACl induces the π-π stacking of the PBQ12 film and improves the film morphology of HTMs with better conductivity. Additionally, Qx MACl can effectively passivate the perovskite surface, and PBQ12 possesses appropriate energy levels and high hole mobility. The pero-SCs based on FAPbI3with PBQ12/Qx MACl treatment showed a higher power conversion efficiency（PCE） of 24.05% and outstanding stability, maintaining 95.4% and 92.1% of its initial PCE after 750 h of storage and after over 800 h of thermal annealing at 85 °C, respectively. To further enhance the PCE of the PBQ12/Qx MACl-based devices, we developed a non-metal ion dopant for the PBQ12 HTM. Through trace doping of PBQ12 HTM by the non-metal ion dopant, the PCE of the PBQ12/Qx MACl-based devices reached 25.24%（the calibrated PCE of 24.55% by the National Institute of Metrology, China）.

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不同施氮下优质稻植株花后碳氮物质流转与籽粒生长的相关性

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西南农业学报 2012年第3期25卷 922-929页

作者：胡钧铭何礼健江立庚吕静宜蒋鑫鑫罗维刚汪玉美凌青翠广西农业科学院农业科技信息研究所广西南宁530007 广西大学作物栽培与耕作学重点开放实验室广西南宁530005 广西区种子公司广西南宁530022

以桂华占、八桂香为材料,在高氮(NH,High nitrogen)、中氮(NM,Middle nitrogen)、低氮(NL,Low nitrogen)三个施氮水平下,研究了优质稻花后碳氮物质积累、运转与籽粒生长特征及其相互的关系。结果表明:①在不同施氮水平下,干物质转运效率... 详细信息

以桂华占、八桂香为材料,在高氮(NH,High nitrogen)、中氮(NM,Middle nitrogen)、低氮(NL,Low nitrogen)三个施氮水平下,研究了优质稻花后碳氮物质积累、运转与籽粒生长特征及其相互的关系。结果表明:①在不同施氮水平下,干物质转运效率为53.60%～62.23%,氮素转运效率为12.33%～37.95%,茎鞘和叶片干物质转运对籽粒干物质积累的贡献率为12.33%～37.95%,茎鞘和叶片氮素转运对籽粒氮素积累贡献率为47.93%～117.2%。②施氮水平影响桂华占和八桂香花后碳氮流转及籽粒的生长。高氮条件下增加叶片碳氮同化物的转运,不利于茎鞘碳氮同化物向籽粒转运。增施氮肥在一定程度上提高了地上总氮和籽粒氮的积累量,提高了籽粒氮收获指数,蛋白质含量上升。低氮处理虽能促进茎鞘碳氮同化物的转运率,但籽粒收获指数明显变低。③不同施氮水平下,桂华占和八桂香花后碳氮流转与籽粒的生长间存在密切的相关,花后茎叶干物质运转速度和转运率都与籽粒起始灌浆势呈正相关;籽粒最大灌浆速率与叶干物质运转速度和转运率呈正相关;叶片中总氮转运率与籽粒蛋白质产量呈正相关。花后茎叶氮素积累量的减少,伴随着籽粒氮素积累量的增加和籽粒蛋白质含量的升高是同步的;茎鞘花后同化物碳氮比与籽粒蛋白质含量及产量呈正相关,与籽粒直链淀粉含量及淀粉、蛋白质比呈负相关。不同施氮水平下氮素转运效率和贡献率表现出一定差异,这种差异与水稻植株自身对氮生理利用效率密切相关。

关键词：优质稻氮肥碳氮流转籽粒生长同步性

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氮肥运筹对水稻植株不同形态氮素含量的影响

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中国水稻科学 2010年第1期24卷 49-54页

作者：莫润秀江立庚郭立胡均铭刘开强周佳民梁天锋曾可丁成泉广西大学作物栽培学与耕作学省级重点开放实验室广西南宁530004

以桂朝2号和叠加占为试验材料,以总氮、蛋白氮、叶绿素氮、可溶性蛋白氮、Rubisco-N、游离氨基态氮为指标,研究了氮肥运筹对水稻植株不同形态氮素含量的影响。结果表明,上述形态氮素含量对氮肥运筹表现出相同的趋势,即水稻抽穗期和成熟... 详细信息

以桂朝2号和叠加占为试验材料,以总氮、蛋白氮、叶绿素氮、可溶性蛋白氮、Rubisco-N、游离氨基态氮为指标,研究了氮肥运筹对水稻植株不同形态氮素含量的影响。结果表明,上述形态氮素含量对氮肥运筹表现出相同的趋势,即水稻抽穗期和成熟期植株总氮、蛋白氮、叶绿素氮、可溶性蛋白氮、Rubisco-N、游离氨基态氮含量均随施氮水平提高而提高,在相同施氮量条件下,重施穗肥时其含量较高。氮肥运筹对不同形态氮素含量的影响程度是不同的,其中,对Rubisco-N和游离氨基态氮的影响明显。两个品种早晚季无论是抽穗期还是成熟期不同施氮水平下Rubisco-N和游离氨基态氮含量差异均达到显著或极显著水平。相关分析表明,早晚季抽穗期和成熟期水稻植株总氮含量与蛋白氮含量均呈极显著相关。

关键词：水稻氮素含量氮肥运筹氮素形态

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数字农业在新农村建设中的主体作用及发展对策

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广西农业科学 2007年第3期38卷 343-346页

作者：胡钧铭王锐李世君江立庚广西大学作物栽培学与耕作学省级重点开放实验室南宁530005

探讨了数字农业的概念、特征,分析了数字农业与新农村建设的关系,提出数字农业在新农村建设中的主体作用以及存在的问题,指出解决新农村建设中的数字农业问题必须从资金投入、网络建设、技术研究、市场构建、人才培养等方面着手,加速推... 详细信息

探讨了数字农业的概念、特征,分析了数字农业与新农村建设的关系,提出数字农业在新农村建设中的主体作用以及存在的问题,指出解决新农村建设中的数字农业问题必须从资金投入、网络建设、技术研究、市场构建、人才培养等方面着手,加速推进新农村建设中的农业现代化、数字化。

关键词：数字农业新农村建设特征发展对策

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Near-perfect replication on amorphous alloys through active force modulation based on machine learning/neural network parameter prediction

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Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 181-191页

作者： Senkuan Meng Zheng Wang Ruisong Zhu Ruijie liu jiang Ma lina Hu Weihua Wang Key Laboratory for liquid-Solid Structural Evolution and Processing of Materials (Ministry of Education) School of Materials Science and Engineering Shandong University College of Mechatronics and Control Engineering Shenzhen University Songshan Lake Materials Laboratory Institute of Physics Chinese Academy of Sciences

As a microforming technique, micro/nano-structural replication possesses advantages of high precision and efficiency. With the remarkable superplasticity in the supercooled liquid region, amorphous alloys or metallic glasses(MGs) are regarded as ideal materials for miniature fabrication. However, due to the intrinsic metastable nature of supercooled liquids, the design of imprinting processes for MGs poses a challenge. In the past, process parameters have largely relied on trial-and-error *** this work, a low-frequency active force modulation system is employed to apply a stable, precise, and real-time feedback stress field for imprinting of MG samples. Low-frequency vibrations can facilitate the filling of microstructures on the template surface by reducing the effective viscosity of the supercooled liquid. With the dataset composed of orthogonal experiments, a machine learning strategy based on back-propagation(BP) neural networks was utilized to construct a 3D parameter space for temperature, stress, and time, and to predict the corresponding filling ratio. Furthermore, the optimal combination of imprinting process parameters was identified, and its filling ratio was experimentally validated to reach as high as 0.94. The near-perfect replication of microstructures confirms the superiority of the active force modulation system and the data-driven strategy of machine learning-assisted parameter design. At the same time, this one-step microforming process provides a new approach to addressing the accuracy-cost trade-off dilemma in precision manufacturing.

关键词： metallic glass amorphous alloy microforming imprinting machine learning

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Multi-model ensemble learning for battery state-of-health estimation:Recent advances and perspectives

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Journal of Energy Chemistry 2025年第1期100卷 739-759页

作者： Chuanping lin Jun Xu Delong jiang Jiayang Hou Ying liang Zhongyue Zou Xuesong Mei State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Shaanxi Key Laboratory of Intelligent Robots School of Mechanical Engineering Xi'an Jiaotong University Department of Electrical Engineering and Automation Luoyang Institute of Science and Technology School of Mechanical Engineering Hangzhou Dianzi University

The burgeoning market for lithium-ion batteries has stimulated a growing need for more reliable battery performance monitoring. Accurate state-of-health(SOH) estimation is critical for ensuring battery operational performance. Despite numerous data-driven methods reported in existing research for battery SOH estimation, these methods often exhibit inconsistent performance across different application scenarios. To address this issue and overcome the performance limitations of individual data-driven models,integrating multiple models for SOH estimation has received considerable attention. Ensemble learning(EL) typically leverages the strengths of multiple base models to achieve more robust and accurate outputs. However, the lack of a clear review of current research hinders the further development of ensemble methods in SOH estimation. Therefore, this paper comprehensively reviews multi-model ensemble learning methods for battery SOH estimation. First, existing ensemble methods are systematically categorized into 6 classes based on their combination strategies. Different realizations and underlying connections are meticulously analyzed for each category of EL methods, highlighting distinctions, innovations, and typical applications. Subsequently, these ensemble methods are comprehensively compared in terms of base models, combination strategies, and publication trends. Evaluations across 6 dimensions underscore the outstanding performance of stacking-based ensemble methods. Following this, these ensemble methods are further inspected from the perspectives of weighted ensemble and diversity, aiming to inspire potential approaches for enhancing ensemble performance. Moreover, addressing challenges such as base model selection, measuring model robustness and uncertainty, and interpretability of ensemble models in practical applications is emphasized. Finally, future research prospects are outlined, specifically noting that deep learning ensemble is poised to advance ens

关键词： Contrastive Learning

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