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Sex-dependent alterations in extracellular vesicles linking chronic spinal cord injury to brain neuroinflammation and neurodegeneration

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Neural Regeneration Research 2025年第2期20卷 483-484页

作者： yun Li Junfang wu Department of Anesthesiology&Shock Trauma and Anesthesiology Research(STAR)CenterUniversity of Maryland School of MedicineBaltimoreMDUSA

Traumatic spinal cord injury(SCI)is a devastating exogenous injury with long-lasting consequences and a leading cause of death and disability *** in assistive technology,rehabilitative interventions,and the ability to identify and intervene in secondary conditions have significantly increased the long-term survival rate of SCI patients,with some people even living well into their seventh or eighth *** survival changes have led neurotrauma researchers to examine how SCI interacts with brain *** health and epidemiological data showed that patients with long-term SCI can have a lower life expectancy and quality of life,along with a higher risk of comorbidities and complications.

关键词： alterations inflammation injury

Mageb4,a Testis-Specific Gene,is Dispensable for Mouse Spermatogenesis

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Reproductive and Developmental Medicine 2020年第3期4卷 129-136页

作者： Sheng Gao Da-Min yun Li-Wei Zhou yun-hao wu Deng-Feng Lin Xiao-Long wu Fei Sun Medical School Institute of Reproductive MedicineNantong UniversityNantong 226001China

Objective:It has recently been shown that the melanoma antigen gene(MAGE)family is expressed in various tumor cell lines but silent in normal tissues,except germ cell ***4,a member of the MAGE family,is highly expressed in the testis and homologous in humans and ***-exome sequencing studies have identifiedMageb4 as a possible X-linked cause of inherited male ***,the function of Mageb4 protein remains largely ***:Using clustered regularly interspaced palindromic repeats(CRISPR)/CRISPR-associated protein(Cas)9 technology,we generated aMageb4 knockout mouse model(Mageb4^-/Y)to explore the role of this gene in ***:First,immunostaining of testicular cells showed thatMageb4 is localized in the cytoplasm of ***,Mageb4^-/Y male mice displayed significant increases in ***,Mageb4^-/Y male mice showed normal fertility,including normal sperm concentration,sperm motility,and testicular and epididymal ***:These findings suggest that,despite testis-exclusive expression,Mageb4 is dispensable for mouse *** research should focus on the role of this gene in apoptosis,aiming to provide clinical guidance regarding male infertility.

关键词： Clustered Regularly Interspaced Palindromic Repeats/CRISPR-Associated Protein 9 Mageb4 Male Infertility Spermatogenesis

The role of sub-continental lithosphere mantle in deep F and Cl cycling:Insight from the Dabeigou basalts,North China Craton

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Science China Earth Sciences 2025年第2期68卷 564-580页

作者： Yadong wu Jinhui YANG Jinfeng SUN hao WANG Baoquan ZHOU State Key Laboratory of Lithospheric Evolution Institute of Geology and GeophysicsChinese Academy of SciencesBeijing 100029China College of Earth and Planetary Sciences University of Chinese Academy of SciencesBeijing 100049China Key Laboratory of Computational Geodynamics University of Chinese Academy of SciencesBeijing 100049China

The sub-continental lithosphere mantle(SCLM)represents a mechanical barrier that separate the convecting mantle from the exosphere,and possesses the ability to sequester and release volatiles,making it an integral part in deep volatile *** we explore the SCLM in modulating F and Cl cycling through a case study from the Early Cretaceous Dabeigou basalts in the North China Craton(NCC).These lavas are associated with decratonization of the NCC,a process involving significant removal and replacement of the ancient *** Dabeigou basalts,characterized by arc magma-like trace element signatures,evolved initial^(87)Sr/^(86)Sr(0.70574–0.70578),ε_(Nd)(t)(-11.2–-11.1),andε_(Hf)(t)(-13.7–-13.4)values,along with high Fe/Mn ratios,Ni contents,andδ^(18)O values(5.8‰–6.8‰)of olivine phenocrysts,are compatible with their origination from a veined,pyroxene-rich source formed through the infiltration and interaction of hydrous silicate melts from the subducting Pacific slabs with ambient ***-hosted melt inclusions of the Dabeigou basalts have compositions similar to the whole rocks,indicating that they record pre-eruptive melt compositions forming the whole *** melt inclusions exhibit high F(1371–2316 ppm)and moderate Cl(688–900 ppm)contents,with high F/Cl ratios of 2.1±0.3(1σ).The F and Cl signatures of the Dabeigou basalts are different from those of typical arc magmas,which are commonly characterized by high Cl contents(median of~1200 ppm)and low F/Cl ratios(<1).The observed differences can be attributed to chromatographic reaction that fractionates elements of different compatibility in the metasomatic agents,with amphibole as the main mineral phase for fractionating and preserving F and *** is,amphibole crystallization prefers to retain F rather than Cl,making the metasomes in vein enriched in F and exhibiting elevated F/Cl ratios compared to original metasomatic *** is further suggested that the scenario inferred from the Dabeigou basalts mi

关键词： North China Craton Sub-continental lithosphere mantle Early Cretaceous Dabeigou basalts Melt inclusion F and Cl cycling

Aluminum foam as buffer layer used in soft rock tunnel with large deformation

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Journal of Mountain Science 2025年第1期22卷 324-336页

作者： wu Faquan MIAO Binxin TIAN yun ZHANG Fang ZHANG Chaoxuan School of Civil Engineering Shaoxing UniversityShaoxing 312000China Key Laboratory of Rock Mechanics and Geohazards of Zhejiang Province Shaoxing 312000China School of Civil Engineering and Architecture Taizhou UniversityTaizhou 318000China

The squeezing deformation of surrounding rock is an important factor restricting the safe construction and long-term operation of tunnels when a tunnel passes through soft strata with high ground *** such soft rock geological conditions,the large deformation of the surrounding rock can easily lead to the failure of supporting structures,including shotcrete cracks,spalling,and steel arch *** improve the lining support performance during the large deformation of squeezed surrounding rock,this work selects aluminum foam with densities of 0.25 g/cm3,0.42 g/cm3 and 0.61 g/cm3 as the buffer layer material and carries out uniaxial confined compression *** the evaluation and analysis of energy absorption and the comparison of the yield pressure of aluminum foam with those of other cushioning materials and yield pressure support systems,the strength,deformation and energy absorption of aluminum foam with a density of 0.25 g/cm3 meet the yield pressure performance *** numerical model of the buffer layer yielding support system is then established via the finite element analysis software ABAQUS,and the influence of the buffer layer setting on the lining support is *** with the conventional support scheme,the addition of an aluminum foam buffer layer can reduce the stress and deformation of the primary support and secondary *** maximum and minimum principal stresses of the primary support are reduced by 13%and 15%,*** maximum and minimum principal stresses of the secondary lining are reduced by 15%and 12%,respectively,and the displacement deformation of the secondary lining position is reduced by 15%.In summary,the application of aluminum foam buffer layer can reduce the stress and deformation of the primary support and secondary lining,improve the stress safety of the support and reduce the deformation of the support.

关键词： Soft rock tunnel Uniaxial confined compression Aluminum foam Buffer layer Yielding support

Numerical investigation on vortex dynamics of flow around a pitching hydrofoil via the finite-domain impulse theory

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Acta Mechanica Sinica 2025年第1期41卷 82-94页

作者： Hui-yun hao yun-Qing Liu Qin wu Ying Liu School of Mechanical Engineering Beijing Institute of TechnologyBeijing 100081China

The behaviors of unsteady flow structures and corresponding hydrodynamics for a pitching hydrofoil are investigated numerically and theoretically in the present *** aims are to derive the total lift by finite-domain impulse theory for subcavitating flow(σ=8.0)and cavitating flow(σ=3.0),and to quantify the distinct impact of individual vortex structures on the transient lift to appreciate the interplay among cavitation,flow structures,and vortex *** motion of the hydrofoil is set to pitch up clockwise with an almost constant rate from 0°to 15°and then back to 0°,for the Reynolds number,7.5×105,and the frequency,0.2 Hz,*** results reveal that the presence of cavities delays the migration of the laminar separation bubble(LSB)from the trailing edge(TE)to the leading edge(LE),consequently postponing the hysteresis in the inflection of lift *** eventual stall under the sub-cavitation regime is the result of LSB *** the instabilities within the leading-edge LSB induce the convection of cavitation-dominated vortices under the cavitation regime *** validated the lift coefficients on the hydrofoil through the finite-domain impulse theory using the standard force expression,the Lamb vector integral emerges as the main contribution to the generation of unsteady ***,the typical vortices’contributions to the transient lift during dynamic stall are accurately *** analysis indicates that the clockwise leading-edge vortex(−LEV)contributes positively,while the counterclockwise trailing-edge vortex(+TEV)contributes *** negative influence becomes particularly pronounced after reaching the peak of total lift,as the shedding of the concentrated wake vortex precipitates a sharp decline due to a predominant negative lift contribution from the TEV ***,the vortices’contribution is relatively modest in sub-cavitating flow,but it is notably more significant in the context of incipient ca

关键词： Cavitation Vortex dynamics Finite-domain impulse theory Pitching hydrofoil Laminar separation bubble Dynamic stall

When AI meets sustainable 6G

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Science China(Information Sciences) 2025年第1期68卷 4-22页

作者： Xiaohu YOU Yongming HUANG Cheng ZHANG Jiaheng WANG hao YIN Hequan wu National Mobile Communications Research Laboratory Southeast University Purple Mountain Laboratories Chinese Academy of Military Science China Information Communication Technologies Group

Sixth-generation(6G) networks are anticipated to achieve transformative advancements, characterized by extreme connectivity, deep integration with artificial intelligence(AI) and sensing, and airground integration. The evolution of 6G exhibits two major trends: ubiquitous intelligence and sustainability. The former aims to embed state-of-the-art AI technology into the 6G network, from the physical layers to applications, while the latter emphasizes reducing energy consumption while enhancing network performance to address environmental concerns. Despite the amazing progress in recent years, AI advancements come with substantial increases in data and computational overhead, posing critical challenges for integrating AI into sustainable 6G networks. First, high energy consumption from large datasets and heavyweight AI models contradicts6G's green goals. Second, the precise collection of large datasets, message delivery latency, and inference delays in AI models pose challenges for real-time tasks in 6G. Third, the uninterpretability and unpredictability of AI models complicate meeting the stringent requirements for controllable transmission in dynamic wireless environments. Addressing these challenges and achieving sustainable 6G with ubiquitous intelligence calls for a revolutionary design of 6G architecture and AI frameworks. To this end, this paper introduces a novel and practical methodology for green, real-time, and controllable 6G native intelligence,starting with knowledge graph(KG) analysis to extract small but critical datasets, followed by the development of distributed lightweight AI models, and the use of digital twins(DTs) to create precise replicas of physical 6G networks. This leads to a pervasive multi-level(PML)-AI framework supported by a task-centric, three-layer 6G architecture. The AI framework operates through non-real-time and real-time cycles, leveraging three key technologies: wireless data KGs for efficient data management,lightweight AI mode

关键词： artificial intelligence sustainable 6G green real-time controllable

A new exceptionally preserved corystosperm wood from the Jurassic of East Asia

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Science China Earth Sciences 2025年第3期68卷 803-810页

作者： Zikun JIANG Ning TIAN Yongdong WANG Fangyu LI Junling PEI Dieter UHL Ya LI hao wu Zhenguo NING Ruiying hao Chinese Academy of Geological Sciences College of Palaeontology Shenyang Normal University Nanjing Institute of Geology and Palaeontology Chinese Academy of Sciences College of Resources and Environmental Engineering Guizhou University East China University of Technology Senckenberg Research Institute and Natural History Museum Frankfurt Zhejiang Museum of Natural History Department of Natural Resources of Shandong Province

Corystosperms, an extinct group of “seed ferns” that lived from the late Permian to the Cretaceous or Eocene, are significant for seed plant phylogeny for their unique roles in partially resolving the long-standing question of angiosperm origins.A new fossil wood taxon, Fengweioxylon sinense gen. et sp. nov. is reported here based on exceptionally preserved wood material from the Jurassic in western Liaoning, China, whose peculiar wood structure enables it to be recognized as the first unequivocal fossil wood record of a corystosperm plant in Laurasia. The anatomical structures of this corystosperm wood show gymnospermous characters. The discovery of the new specimen will provide more anatomical evidence for understanding the systematic and affinity of this seed plants.

关键词： Corystosperms Fossil wood Laurasia Jurassic

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Unveiling the relationship between Fabry-Perot laser structures and optical field distribution via symbolic regression

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Optoelectronics Letters 2025年第3期21卷 149-154页

作者： LI Wenqiang wu Min LI Weijun hao Meilan YU Lina Ann Lab Institute of Semiconductors Chinese Academy of Sciences School of Electronic Electrical and Communication Engineering & School of Integrated Circuits University of Chinese Academy of Sciences Beijing Key Laboratory of Semiconductor Neural Network Intelligent Sensing and Computing Technology

In recent years, machine learning (ML) techniques have been shown to be effective in accelerating the development process of optoelectronic devices. However, as"black box"models, they have limited theoretical interpretability. In this work, we leverage symbolic regression (SR) technique for discovering the explicit symbolic relationship between the structure of the optoelectronic Fabry-Perot (FP) laser and its optical field distribution, which greatly improves model transparency compared to ML. We demonstrated that the expressions explored through SR exhibit lower errors on the test set compared to ML models, which suggests that the expressions have better fitting and generalization capabilities.

关键词： A

Accurate prediction of essential proteins using ensemble machine learning

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Chinese Physics B 2025年第1期34卷 108-115页

作者： Dezhi Lu hao wu Yutong Hou yuncheng wu Yuanyuan Liu Jinwu Wang School of Medicine Shanghai UniversityShanghai 200444China Shanghai Key Laboratory of Orthopaedic Implants Department of Orthopaedic SurgeryShanghai Ninth People’s HospitalShanghai Jiao Tong University School of MedicineShanghai 200011China University of Shanghai for Science and Technology Shanghai 200093China

Essential proteins are crucial for biological processes and can be identified through both experimental and computational *** experimental approaches are highly accurate,they often demand extensive time and *** address these challenges,we present a computational ensemble learning framework designed to identify essential proteins more *** method begins by using node2vec to transform proteins in the protein–protein interaction(PPI)network into continuous,low-dimensional *** also extract a range of features from protein sequences,including graph-theory-based,information-based,compositional,and physiochemical ***,we leverage deep learning techniques to analyze high-dimensional position-specific scoring matrices(PSSMs)and capture evolutionary *** then combine these features for classification using various machine learning *** enhance performance,we integrate the outputs of these algorithms through ensemble methods such as voting,weighted averaging,and *** approach effectively addresses data imbalances and improves both robustness and *** ensemble learning framework achieves an AUC of 0.960 and an accuracy of 0.9252,outperforming other computational *** results demonstrate the effectiveness of our approach in accurately identifying essential proteins and highlight its superior feature extraction capabilities.

关键词： protein-protein interaction(PPI) essential proteins deep learning ensemble learning