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Neural Regeneration Research 2025年第5期20卷 1403-1404页

作者： Oliver Kann Lennart Soder Babak Khodaie institute of Physiology and Pathophysiology Heidelberg UniversityHeidelbergGermany interdisciplinary Center for Neurosciences(IZN) Heidelberg UniversityHeidelbergGermany

The metabolite lactate (L-lactate) can be generated and released by diverse brain cells,including neurons,astrocytes,and oligodendrocytes (Kann,2023;Rae et al.,2024).Lactate production usually requires the degradation of glucose (D-glucose)-and glycogen in astrocytes-to pyruvate by glycolysis and subsequent conversion of pyruvate to lactate by the enzyme lactate dehydrogenase(Figure 1A;Dienel,2019;Rae et al.,2024).

关键词： consequences Figure restoration

An Enhanced Lung Cancer Detection Approach Using Dual-Model Deep Learning Technique

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 835-867页

作者： Sumaia Mohamed Elhassan Saad Mohamed Darwish Saleh Mesbah Elkaffas Department of Information Technology Institute of Graduate Studies and ResearchAlexandria UniversityAlexandria21526Egypt College of Computing and Information Technology Arab Academy for ScienceTechnology and Maritime TransportAlexandriaP.O.Box 1029Egypt

Lung cancer continues to be a leading cause of cancer-related deaths worldwide,emphasizing the critical need for improved diagnostic *** detection of lung tumors significantly increases the chances of successful treatment and ***,current diagnostic methods often fail to detect tumors at an early stage or to accurately pinpoint their location within the lung ***-model deep learning technologies for lung cancer detection,while beneficial,cannot capture the full range of features present in medical imaging data,leading to incomplete or inaccurate ***,it may not be robust enough to handle the wide variability in medical images due to different imaging conditions,patient anatomy,and tumor *** overcome these disadvantages,dual-model or multi-model approaches can be *** research focuses on enhancing the detection of lung cancer by utilizing a combination of two learning models:a Convolutional Neural Network(CNN)for categorization and the You Only Look Once(YOLOv8)architecture for real-time identification and pinpointing of *** automatically learn to extract hierarchical features from raw image data,capturing patterns such as edges,textures,and complex structures that are crucial for identifying lung ***8 incorporates multiscale feature extraction,enabling the detection of tumors of varying sizes and scales within a single *** is particularly beneficial for identifying small or irregularly shaped tumors that may be challenging to ***,through the utilization of cutting-edge data augmentation methods,such as Deep Convolutional Generative Adversarial Networks(DCGAN),the suggested approach can handle the issue of limited data and boost the models’ability to learn from diverse and comprehensive *** combined method not only improved accuracy and localization but also ensured efficient real-time processing,which is crucial for practical clinical applicati

关键词： Lung cancer detection dual-model deep learning technique data augmentation CNN YOLOv8

Decision making module based on stochastic magnetic tunnel junctions

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Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 202-209页

作者： Yifan Miao Li Zhao Yajun Zhang Zhe Yuan Center for Advanced Quantum studies and Department of Physics Beijing Normal University institute for Nanoelectric Devices and Quantum Computing Fudan University interdisciplinary Center for Theoretical Physics and Information Sciences Fudan University

In biological neural systems, noise is ubiquitous but does not affect the correct decisions made in the complex cognitive ***-making in biological neural system is typically achieved by accumulating input information over a period of *** by recent developments in neurosciences, we design a decision-making module based on spintronic devices, utilizing superparamagnetic tunnel junctions as artificial neurons. The feasibility of this decision-making module is verified through circuit simulations. Taking a multi-layer perceptron as an example, the module significantly improves the accuracy of the perceptron in the handwritten digit recognition task. Furthermore, the spintronic decision-making module offers advantages over the conventional pooling methods, such as adaptive decision time, high performance and the absence of analog-to-digital conversion. The decision-making module is flexible to be integrated into artificial neural networks and provides a general yet effective solution to enhance performance against device noise.

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BCCLR:A Skeleton-Based Action Recognition with Graph Convolutional Network Combining Behavior Dependence and Context Clues

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Computers, Materials & Continua 2024年第3期78卷 4489-4507页

作者： Yunhe Wang Yuxin Xia Shuai Liu College of Information Science and Engineering Institute of Interdisciplinary StudiesHunan Normal UniversityChangsha410081China School of Educational Sciences Institute of Interdisciplinary StudiesHunan Normal UniversityChangsha410081China

In recent years,skeleton-based action recognition has made great achievements in Computer Vision.A graph convolutional network(GCN)is effective for action recognition,modelling the human skeleton as a spatio-temporal *** GCNs define the graph topology by physical relations of the human ***,this predefined graph ignores the spatial relationship between non-adjacent joint pairs in special actions and the behavior dependence between joint pairs,resulting in a low recognition rate for specific actions with implicit correlation between joint *** addition,existing methods ignore the trend correlation between adjacent frames within an action and context clues,leading to erroneous action recognition with similar ***,this study proposes a learnable GCN based on behavior dependence,which considers implicit joint correlation by constructing a dynamic learnable graph with extraction of specific behavior dependence of joint *** using the weight relationship between the joint pairs,an adaptive model is *** also designs a self-attention module to obtain their inter-frame topological relationship for exploring the context of *** the shared topology and the multi-head self-attention map,the module obtains the context-based clue topology to update the dynamic graph convolution,achieving accurate recognition of different actions with similar *** experiments on public datasets demonstrate that the proposed method achieves better results and realizes higher quality representation of actions under various evaluation protocols compared to state-of-the-art methods.

关键词： Action recognition deep learning GCN behavior dependence context clue self-attention

Remediation effect of compost on soluble mercury transfer in a crop of Phaseolus vulgaris

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Journal of Environmental Sciences 2015年第5期27卷 61-67页

作者： Nora E.Restrepo-Sánchez Liliana Acevedo-Betancourth Beatriz Henao-Murillo Carlos Peláez-Jaramillo interdisciplinary Group of Molecular studies (GIEM) Institute of Chemistry Faculty of Natural and Exact Sciences University of Antioquia

We studied the dynamics of mercury（Hg） transfer in Phaseolus vulgaris plants grown in soil with Hg-doped compost at the maximum levels permitted by Colombian law on organic amendments. Quantitative evaluation of transfer was made in different plant organs： roots,stem, leaves, pods and seeds. Matrix effect was determined in doped soil assays, using soil with and without addition of compost. Results showed that the use of organic matter reduced Hg transfer to the plant and the amount transferred was differentially distributed to the organs. We observed an inverse relationship between concentration and distance from the body to the root. It was evident that transfer was mediated by quantitative factors;the greater the presence of mercury in soil, the larger the amount that will be *** also indicate the remedial effect of compost and the presence of a barrier, at the root level, against mercury translocation to the plant aerial parts.

关键词： Trophic transfer Mercury Organic matter Soil pollution Remediation

Dark energy constraints from joint analysis of standard rulers and standard candles

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Research in Astronomy and Astrophysics 2011年第6期11卷 641-654页

作者： Marek Biesiada Beata Malec Aleksandra Piórkowska Department of Astrophysics and Cosmology Institute of PhysicsUniversity of Silesia Copernicus Center for interdisciplinary studies

We performed joint analysis of five cosmological models invoked to explain the accelerating expansion of the *** used the data from strong gravitational lensing systems,locations of cosmic microwave background acoustic peaks and baryon acoustic oscillation data in combination with supernova Ia data（Union2 compilation）.The observables we used came from both standard rulers and standard candles,so they had different parameter degeneracies and different restrictive powers in the parameter spaces of cosmological *** best fits we obtained for the model parameters in joint analysis turned out to prefer cases effectively equivalent to the ΛCDM *** were also in agreement with other combined studies performed by other authors on different sets of diagnostic *** theoretic methods used to assess which model is most supported by the data lead to the conclusion that the concordance model ΛCDM is clearly preferred in joint *** quintessence（both having constant or time varying equation of state） and Chaplygin gas get considerably less support from the data while the brane world（DGP） scenario is practically ruled out.

关键词： cosmology:observations-cosmological parameters-gravitational lensing-supernovae

Enhanced Anti-corrosion Ability and Biocompatibility of PLGA Coatings on MgZnYNd Alloy by BTSE-APTES Pre-treatment for Cardiovascular Stent

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Journal of Materials Science & Technology 2016年第9期32卷 845-857页

作者： Jing Liu Tingfei Xi Center for Biomedical Materials and Tissue Engineering Academy for Advanced Interdisciplinary Studies Peking University Shenzhen institute Peking University

Bioabsorbable magnesium alloys are widely studied for various implant applications, as they reduce the risks such as severe inflammatory response existing in permanent metallic implants. However, the over-fast corrosion rate of magnesium alloy is usually an obstacle in biomedical applications. Here we report a simple two-step reaction to introduce anticorrosive silane pre-treatment on MgZnYNd alloys before coating with poly （glycolide-co-lactide）（PLGA）. The first step is to immerse the NaOH-activated MgZnYNd with bistriethoxysilylethane （BTSE） to form a cross-linked silane coating layer with enhanced corrosion resistance; the second step involves immobilizing amine functional groups for forming hydrogen bond with outer PLGA coating by treating the BTSE-modified MgZnYNd with 3-amino-propyltrimethoxysilane （APTES）. We characterized the BTSE-APTES pre-treated PLGA coating on MgZnYNd by scanning electron microscopy （SEM）, Fourier transform infrared spectroscopy （FF-IR）, X-ray photoelectron spectroscopy （XPS）, static contact angle and Acid Orange 7 measurement. Nano-scratch test was to verify that the scratch resistance of the PLGA coating with BTSE-APTES pre-treatment was superior to direct PLGA coating. Stan-dard electrochemical measurements along with the long-term immersion results indicated that the BTSE- APTES pre-treatment rendered better in vitro degradation behavior. Cell adhesion and cell viability tests with both vascular smooth muscle cells （VSMC） and human umbilical vein endothelial cells （EA. hy926） demonstrated that BTSE-APTES pre-treated MgZnYNd substrate had significantly more beneficial effects. The favorable anti-corrosion behavior and biocompatibility of BTSE-APTES pre-treated PLGA coatings on MgZnYNd alloy suggest that the novel two-step silanization procedure may have the great potential to enhance the performance of the magnesium-based biomaterials and provide a valid solution for the conversion modification of cardiovascular implants, taking the

关键词： Cardiovascular stent SilanizationAnti-corrosion Cytocompatibility MgZnYNd alloy

Development status of high power fiber lasers and their coherent beam combination

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Science China(Information Sciences) 2019年第4期62卷 56-87页

作者： Zejin LIU Xiaoxi JIN Rongtao SU Pengfei MA Pu ZHOU College of Advanced interdisciplinary studies National University of Defense Technology

High-power fiber laser has been emerged great potential in a wide range of applications and becomes a robust candidate for high energy solid state laser system. To further increase the output brightness of single-channel fiber laser, high-brightness pump sources and high-power-handling passive components should be fabricated and utilized in the fiber laser systems, in addition to the advanced techniques for multiple nonlinear effects managements. The state-of-the-art high power fiber lasers are reviewed, in terms of narrow-linewidth fiber lasers, broadband fiber lasers and fiber lasers at 2 μm. Coherent beam combining is a promising technique to obtain higher output power while maintaining excellent beam quality simultaneously,which breaks through the bottlenecks of single-channel fiber laser. Based on a series of key techniques for coherent beam combining, high-power coherent beam combining of fiber lasers could be enabled with high combining efficiency. In this paper, we review the progress of high-power fiber lasers and their coherent beam combining in the recent decade, particularly the relevant work in our group. The future prospects of fiber lasers and coherent beam combining technique are also discussed.

关键词： fiber lasers and amplifiers nonlinear effects and mode instability coherent beam combining passive components 2 μm fiber lasers

Intrinsic transverse relaxation mechanisms of polarized alkali atoms enclosed in radio-frequency magnetometer cell

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Chinese Physics B 2019年第9期28卷 385-390页

作者： Yang-Ying Fu Jie Yuan College of Advanced interdisciplinary studies National University of Defense Technology

The intrinsic transverse relaxation mechanisms of polarized alkali atoms enclosed in the radio-frequency magnetometer cell are *** intrinsic transverse relaxation rate of cesium atoms as a function of cell temperature is *** absorption of alkali atoms by the glass wall and the reservoir effect are the main error factors which contribute to the disagreements between theory and experiments.A modified relaxation model is presented, in which both the absorption of alkali atoms by the glass wall and the reservoir effect are *** study provides a more accurate description of the intrinsic transverse relaxation mechanisms of polarized alkali atoms, and enlightens the optimization of the cell design.

关键词： intrinsic transverse relaxation modified relaxation model absorption of alkali atoms reservoir effect

Production of anthocyanins in metabolically engineered microorganisms:Current status and perspectives

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Synthetic and Systems Biotechnology 2017年第4期2卷 259-266页

作者： Jian Zha Mattheos A.G.Koffas Department of Chemical and Biological Engineering Center for Biotechnology and Interdisciplinary StudiesRensselaer Polytechnic InstituteTroyNYUSA Department of Biological Sciences Center for Biotechnology and Interdisciplinary StudiesRensselaer Polytechnic InstituteTroyNYUSA

Microbial production of plant-derived natural products by engineered microorganisms has achieved great success thanks to large extend to metabolic engineering and synthetic ***,the water-soluble colored pigments found in terrestrial plants that are responsible for the red,blue and purple coloration of many flowers and fruits,are extensively used in food and cosmetics industry;however,their current supply heavily relies on complex extraction from plant-based materials.A promising alternative is their sustainable production in metabolically engineered ***,we review the recent progress on anthocyanin biosynthesis in engineered bacteria,with a special focus on the systematic engineering modifications such as selection and engineering of biosynthetic enzymes,engineering of transportation,regulation of UDP-glucose supply,as well as process *** promising engineering strategies will facilitate successful microbial production of anthocyanins in industry in the near future.

关键词： Anthocyanin Enzyme engineering Metabolic engineering Microbial production