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| 1 | Single Cr atom catalytic growth of graphene显示文摘 | Huy Q. Ta Uang Zhao Wanjian Yin Darius Pohl Bemd Rellinghaus Thomas Gemming Barbara Trzebicka Justinas Palisaitis Gao Jing Per O. A. Persson Zhongfan Liu Alicja Bachmatiuk Mark H. Rummeli | 2018 | Nano Research2018，11，5： | 3 |
| 2 | An analysis of the impact of clinico-pathological features on long-term results following esophagectomy due to squa- mous cell carcinoma of the thoracic esophagus 显示文摘 | Sliwa Barbara Szelachowski Piotr Struty~ska-Karpi~ska Mar- ta | 2013 | Advances in clinical and experimental medicine : official organ Wro- claw Medical University2013，22，3： | 1 |
| 3 | L-arginine attenuates hypertension in pregnant rats with reduced uterine perfusion pressure显示文摘 | Barbara TA Maria TL Walter CK | 2004 | Hypertension2004，43，4： | 1 |
| 4 | 悬浮于石墨烯空位/孔洞中的独立纳米结构显示文摘在电子束辐照下,石墨烯较易形成空位、孔洞等缺陷,从而捕获外来原子,形成新的结构.由于这些结构具有一些令人兴奋的性质,它们和石墨烯之间的相互作用引起了科研工作者相当大的研究兴趣.本文总结了利用透射电子显微镜在制备和表征悬浮在石墨烯中的独立纳米结构的方法,以及原子分辨率下观察到的此类材料中原子/结构的动态行为过程,讨论了新型金属/非金属掺杂剂对具有不同键结构的石墨烯空位的影响,以及位于石墨烯边缘的单原子/团簇的催化活性.此外,还讨论了独立单原子厚二维团簇/金属/金属烯和二维团簇/金属/金属烯氧化物的动态形成过程.并指出这些纳米结构的形成、稳定性和宏观效应对于新的原子/分子尺度纳米技术的实际应用至关重要.以上数据证实了新型纳米结构的数量不断增加,并预示着相关研究的不断深入. | 刘玉 Huy Q Ta 杨晓琴 张月 周军华 施启涛 曾梦琪 Thomas Gemming Barbara Trzebicka 付磊 Mark H.Rümmeli | 2023 | Science China Materials2023，66，1： | 0 |
| 5 | Real-world performance analysis of a novel computational method in the precision oncology of pediatric tumors显示文摘Background The utility of routine extensive molecular profiling of pediatric tumors is a matter of debate due to the high number of genetic alterations of unknown significance or low evidence and the lack of standardized and personalized decision support methods.Digital drug assignment(DDA)is a novel computational method to prioritize treatment options by aggregating numerous evidence-based associations between multiple drivers,targets,and targeted agents.DDA has been validated to improve personalized treatment decisions based on the outcome data of adult patients treated in the SHIVA01 clinical trial.The aim of this study was to evaluate the utility of DDA in pediatric oncology.Methods Between 2017 and 2020,103 high-risk pediatric cancer patients(<21 years)were involved in our precision oncology program,and samples from 100 patients were eligible for further analysis.Tissue or blood samples were analyzed by whole-exome(WES)or targeted panel sequencing and other molecular diagnostic modalities and processed by a software system using the DDA algorithm for therapeutic decision support.Finally,a molecular tumor board(MTB)evaluated the results to provide therapy recommendations.Results Of the 100 cases with comprehensive molecular diagnostic data,88 yielded WES and 12 panel sequencing results.DDA identified matching off-label targeted treatment options(actionability)in 72/100 cases(72%),while 57/100(57%)showed potential drug resistance.Actionability reached 88%(29/33)by 2020 due to the continuous updates of the evidence database.MTB approved the clinical use of a DDA-top-listed treatment in 56 of 72 actionable cases(78%).The approved therapies had significantly higher aggregated evidence levels(AELs)than dismissed therapies.Filtering of WES results for targeted panels missed important mutations affecting therapy selection.Conclusions DDA is a promising approach to overcome challenges associated with the interpretation of extensive molecular profiling in the routine care of high-risk pediatric cancers.Knowledgebase updates enable automatic interpretation of a continuously expanding gene set,a“virtual”panel,filtered out from genome-wide analysis to always maximize the performance of precision treatment planning. | Barbara Vodicska Júlia Déri Dóra Tihanyi Edit Várkondi EnikőKispéter Róbert Dóczi Dóra Lakatos Anna Dirner Mátyás Vidermann Péter Filotás Réka Szalkai-Dénes István Szegedi Katalin Bartyik Krisztina Míta Gábor Réka Simon Péter Hauser György Péter Csongor Kiss Miklós Garami István Peták | 2023 | World Journal of Pediatrics2023，19，10： | 0 |
| 6 | Synergistic protection of Si anode based on multi-dimensional graphitic carbon skeletons显示文摘Inspired by the natural corn structure,a Si@hollow graphene shell@graphene(Si@GS@G)anode material was prepared in which silicon nanoparticles were preliminarily anchored onto the surface of an elastic graphene shell and further constrained using graphene sheets.Hollow graphene oxide shells with abundant surficial hydrogen bonds,which were synthesized using a novel bottom-up method,were used as an intermediate material to anchor positively charged silicon nanoparticles via electrostatic attraction and achieve a rational spatial distribution.The inner hollow graphene shell anchorage and outer graphene constraint synergistically constituted a porous and robust conductive corn-like structure.The as-fabricated Si@GS@G anode afforded efficient electron and ion transport pathways and improved structural stability,thereby enhancing Li+storage capability(505 mAh·g^(−1)at 10 A·g^(−1))and extending the lifespan compared to the single hollow graphene shell or graphene sheet-protected Si anode(72%capacity retention after 500 cycles).The improved kinetics of the Si@GS@G anode were investigated using electro impedance spectroscopy,galvanostatic intermittent titration,and pseudocapacitance contribution rate analysis,and the structural evolution was analyzed using ex situ electron microscopy.This study proposes a novel hollow graphene oxide shell as an activated intermediate material for designing a porous electrode structure that facilitates an enhanced electrochemical performance. | Qitao Shi Haiming Wang Junhua Zhou HuyQuang Ta Jiaqi Wang Xueyu Lian Klaudia Kurtyka Barbara Trzebicka Thomas Gemming Mark H.Rümmeli | 2022 | Nano Research2022，15，9： | 0 |
| 7 | 石墨烯空心球的弹性缓冲效应助力高性能硅基锂离子电池显示文摘硅被认为是下一代锂离子电池极具潜力的负极材料.纳米硅的使用缓解了其在锂化时因体积变化引起的颗粒粉碎化.然而,团聚的硅颗粒间的相互挤压仍然会引起硅负极的迅速失效.为此,我们以弹性的石墨烯空心球为媒介在硅粒子之间引入机械缓冲空间,来灵活缓冲硅的体积变化,保持电极结构的稳定性.在锂化过程中,硅体积膨胀产生的应力通过压缩石墨烯空心球的内部空心得到了机械式的缓冲.除此之外,石墨烯空心球还减少了硅颗粒的局部团聚,有效地提高了整体电导率.基于这些优势,所设计的Si/GS电极在0.8 A g^(-1)的电流密度下循环200圈后性能仍维持在1200 mA hg^(-1)以上;在4 A g^(-1)的电流密度下,200次循环后仍可达到1025 mA h g^(-1). | 施启涛 叶伟彬 Kurtyka Klaudia 王海明 连雪玉 Quang Ta Huy 周军华 杨晓琴 郭伶俐 Trzebicka Barbara 孙靖宇 刘立军 王鸣生 H.Rummeli Mark | 2022 | Science China Materials2022，65，9： | 0 |
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