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Electrocatalytic cleavage of a lignin β-O-4 model compound and coupling with nitrogen-containing aromatics using Prussian blue analogue-derived nickel–cobalt spinel

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Journal of Energy chemistry 2025年第1期100卷 628-636页

作者： Yi Qi xueying chen Bowen Liu xuliang lin xueqing Qiu Yanlin Qin Guangdong Provincial Key Laboratory of Plant Resources Biorefinery School of Chemical Engineering and Light Industry Guangdong University of Technology Guangdong Provincial Laboratory of chemistry and Fine chemical Engineering Jieyang center Guangdong Basic Research center of Excellence for Ecological Security and Green Development Guangdong University of Technology

Electrochemical conversion of lignin for the production of high-value heterocyclic aromatic compounds has great *** demonstrate the targeted synthesis and cation modulation of Nico2O4spinel nanoboxes,synthesized via cation exchange and calcination *** catalysts exhibit excellent efficacy in the electrocatalytic conversion of lignin model compounds,specifically 2-phenoxy-1-phenylethanol,into nitrogen-containing aromatics,achieving high conversion rates and *** catalysts were synthesized via a cation exchange and calcination oxidation process,using Prussian blue nanocubes as *** porous architecture and polymetallic composition of the Nico2O4spinel demonstrated superior performance in electrocatalytic oxidative coupling,achieving a 99.2 wt%conversion rate of the 2-phenoxy-1-phenylethanol with selectivities of 37.5 wt%for quinoline derivatives and 31.5 wt%for *** innovations include the development of a sustainable one-pot synthesis method for quinoline derivatives,the elucidation of a multistage reaction pathway involving cAO bond cleavage,hydroxyaldol condensation,and cAN bond formation,and a deeper mechanistic understanding derived from DFT *** work establishes a new strategy for lignin valorization,offering a sustainable route to produce high-value nitrogen-containing aromatics from renewable biomass under mild conditions,without the need for additional reagents.

关键词： Spinel Biomass valorization Electrocatalysis Lignin oxidation coupling

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Wafer‑Scale Vertical 1D GaN Nanorods/2D MoS_(2)/PEDOT:PSS for Piezophototronic Effect‑Enhanced Self‑Powered Flexible Photodetectors

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Nano-Micro Letters 2025年第3期17卷 102-116页

作者： xin Tang Hongsheng Jiang Zhengliang lin xuan Wang Wenliang Wang Guoqiang Li State Key Laboratory of Luminescent Materials and Devices South China University of TechnologyGuangzhou 510640People’s Republic of China Department of Electronic Materials School of Materials Science and EngineeringSouth China University of TechnologyGuangzhou 510640People’s Republic of China

van der Waals(vdW)heterostructures constructed by lowdimensional(0D,1D,and 2D)materials are emerging as one of the most appealing systems in next-generation flexible ***,hand-stacked vdW-type photodetectors are not compatible with large-areaarray fabrication and show unimpressive performance in self-powered ***,vertical 1D GaN nanorods arrays(NRAs)/2D MoS_(2)/PEDOT:PSS in wafer scale have been proposed for self-powered flexible photodetectors arrays *** as-integrated device without external bias under weak UV illumination exhibits a competitive responsivity of 1.47 A W^(−1)and a high detectivity of 1.2×10^(11)Jones,as well as a fast response speed of 54/71μs,thanks to the strong light absorption of GaN NRAs and the efficient photogenerated carrier separation in type-II ***,the strain-tunable photodetection performances of device have been ***,the device at−0.78%strain and zero bias reveals a significantly enhanced photoresponse with a responsivity of 2.47 A W^(−1),a detectivity of 2.6×10^(11)Jones,and response times of 40/45μs,which are superior to the state-of-the-art self-powered flexible *** work presents a valuable avenue to prepare tunable vdWs heterostructures for self-powered flexible photodetection,which performs well in flexible sensors.

关键词： Vertical nanorod arrays van der Waals heterostructure Piezophototronic effect Self-powered photodetection Flexible sensors

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Interannual variability of boreal summer intraseasonal oscillation over the northwestern Pacific influenced by the Pacific Meridional Mode

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Atmospheric and Oceanic Science Letters 2025年第1期18卷 6-11页

作者： Haoyu Zhou Pang-chi Hsu lin chen Yitian Qian Key Laboratory of Meteorological Disaster Ministry of Education/Joint International Research Laboratory of Climate and Environmental Change/Collaborative Innovation Center on Forecast and Evaluation of Meteorological DisastersNanjing University of Information Science and TechnologyNanjingChina

During the boreal summer,intraseasonal oscillations exhibit significant interannual variations in intensity over two key regions:the central-western equatorial Pacific(5°S-5°N,150°E-150°W)and the subtropical Northwestern Pacific(10°-20°N,130°E-175°W).The former is well-documented and considered to be influenced by the ENSO,while the latter has received comparatively less attention and is likely influenced by the Pacific Meridional Mode(PMM),as suggested by partial correlation analysis *** elucidate the physical processes responsible for the enhanced(weakened)intraseasonal convection over the subtropical northwestern Pacific during warm(cold)PMM years,the authors employed a moisture budget *** findings reveal that during warm PMM years,there is an increase in summer-mean moisture over the subtropical northwestern *** increase interacts with intensified vertical motion perturbations in the region,leading to greater vertical moisture advection in the lower troposphere and consequently resulting in convective *** a process is pivotal in amplifying intraseasonal convection *** observational findings were further verified by model experiments forced by PMM-like sea surface temperature patterns.

关键词： Boreal summer intraseasonal oscillation Interannual variability Pacific Meridional Mode Moisture budget analysis

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Fine-tuning the spatial allocation of phytohormones for smart canopy, smart breeding, and smart agriculture

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Science china Life Sciences 2025年第1期 309-310页

作者： Tao Zhou lin Li National Key Laboratory of crop Genetic Improvement Huazhong Agricultural University HuBei HongShan Laboratory

The dual challenges of global climate change and population growth have increased demand for higher crop yields per unit area. The innovative technology of smart agriculture aims to synergize breeding, cultivation, and production through the application of biological and informatics technologies. Historically, the “Green Revolution” introduced semidwarf varieties of certain key crops by utilizing mutations affecting gibberellin pathways, which significantly increased planting densities and yields.

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PD-YOLO:colon Polyp Detection Model Based on Enhanced Small-Target Feature Extraction

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computers, Materials & continua 2025年第1期82卷 913-928页

作者： Yicong Yu Kaixin lin Jiajun Hong Rong-Guei Tsai Yuanzhi Huang New Engineering Industry college Putian UniversityPutian351100China Engineering Research center of Big Data Application in Private Health Medicine(Putian University) Fujian Province UniversityPutian351100China computer college Guangdong University of Science&TechnologyDongguan523668China

In recent years,the number of patientswith colon disease has increased *** polyps are the precursor lesions of colon *** not diagnosed in time,they can easily develop into colon cancer,posing a serious threat to patients’lives and health.A colonoscopy is an important means of detecting colon ***,in polyp imaging,due to the large differences and diverse types of polyps in size,shape,color,etc.,traditional detection methods face the problem of high false positive rates,which creates problems for doctors during the diagnosis *** order to improve the accuracy and efficiency of colon polyp detection,this question proposes a network model suitable for colon polyp detection(PD-YOLO).This method introduces the self-attention mechanism cBAM(convolutional Block Attention Module)in the backbone layer based on YOLOv7,allowing themodel to adaptively focus on key information and ignore the unimportant *** help themodel do a better job of polyp localization and bounding box regression,add the SPD-conv(Symmetric Positive Definite convolution)module to the neck layer and use deconvolution instead of *** results indicate that the PD-YOLO algorithm demonstrates strong robustness in colon polyp *** to the original YOLOv7,on the Kvasir-SEG dataset,PD-YOLO has shown an increase of 5.44 percentage points in AP@0.5,showcasing significant advantages over other mainstream methods.

关键词： Polyp detection YOLOv7 SPD-conv cBAM deconvolution

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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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Projective Hilbert modules and sequential approximations

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Science china Mathematics 2025年第1期 137-168页

作者： Lawrence G.Brown Huaxin lin Department of Mathematics Purdue University Department of Mathematics East China Normal University Department of Mathematics University of Oregon Shanghai Institute for Mathematics and Interdisciplinary Sciences

We show that when A is a separable c*-algebra,every countably generated Hilbert A-module is projective（with bounded module maps as morphisms）.We also study the approximate extensions of bounded module *** the case where A is a σ-unital simple c*-algebra with strict comparison,and every strictly positive lower semicontinuous affine function on quasitraces can be realized as the rank of an element in the cuntz semigroup,we show that the cuntz semigroup is equivalent to unitarily equivalent classes of countably generated Hilbert A-modules if and only if A has stable rank one.

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Search for hidden-charm tetraquark with strangeness in e^(+)e^(−)→K^(+)D_(s)^(∗−) D^(∗0 )+ c.c.

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chinese Physics c 2023年第3期47卷 1-14页

作者：麦迪娜 M.N.Achasov P.Adlarson M.Albrecht R.Aliberti A.Amoroso 安美儒安琪白羽 O.Bakina R.Baldini Ferroli I.Balossino Y.Ban V.Batozskaya D.Becker K.Begzsuren N.Berger M.Bertani D.Bettoni F.Bianchi E.Bianco J.Bloms A.Bortone I.Boyko R.A.Briere A.Brueggemann 蔡浩蔡啸 A.calcaterra 曹国富曹宁 S.A.cetin 常劲帆常万玲车国荣 G.chelkov 陈琛陈超陈刚陈和生陈玛丽陈申见陈少敏 T.chen 陈旭荣 x.T.chen 陈元柏陈卓俊成伟帅 S.K.choi 初晓 G.cibinetto F.cossio 崔佳佳代洪亮代建平 A.Dbeyssi R.E.de Boer D.Dedovich 邓子艳 A.Denig I.Denysenko M.Destefanis F.De Mori 丁勇丁逸董静董燎原董明义董翔杜书先段宗欢 P.Egorov 范玉兰方建房双世方文兴方易 R.Farinelli L.Fava F.Feldbauer G.Felici 封常青冯俊华 K Fischer M.Fritsch c.Fritzsch 傅成栋高涵高原宁高扬 S.Garbolino I.Garzia 葛潘婷葛振武耿聪 E.M.Gersabeck A Gilman K.Goetzen 龚丽龚文煊 W.Gradl M.Greco 谷立民顾旻皓顾运厅关春懿郭爱强郭立波郭如盼郭玉萍 A.Guskov 韩文颖郝喜庆 F.A.Harris 何凯凯何康林 F.H.Heinsius c.H.Heinz 衡月昆 c.Herold 侯国一侯颖锐侯治龙胡海明 J.F.Hu 胡涛胡誉黄光顺黄凯旋黄麟钦黄性涛黄燕萍黄震 T.Hussain N Hüsken W.Imoehl M.Irshad J.Jackson S.Jaeger S.Janchiv E.Jang J.H.Jeong 纪全姬清平季晓斌季筱璐吉钰瑶贾泽坤蒋沛成姜赛赛江晓山 Y.Jiang 焦健斌焦铮金山金毅荆茂强 T.Johansson S.Kabana N.Kalantar-Nayestanaki 康晓琳康晓珅 R.Kappert M.Kavatsyuk 柯百谦 I.K.Keshk A.Khoukaz R.Kiuchi R.Kliemt L.Koch O.B.Kolcu B.Kopf M.Kuemmel M.Kuessner A.Kupsc W.Kühn J.J.Lane J.S.Lange P.Larin A.Lavania L.Lavezzi 雷天天雷祚弘 H.Leithoff M.Lellmann T.Lenz 李聪李翠李春花李澄李德民李飞李刚李慧李贺李海波李惠静 H.N.Li J.Q.Li 李静舒李井文李科 L.J Li 李龙科李蕾李明浩李培荣李素娴栗帅迎李腾李卫东李卫国李旭红李晓玲李晓宇李彦谷李振轩李紫源梁畅梁浩梁昊梁勇飞梁羽铁廖广睿廖龙洲 J.Libby A.Limphirat 林创新林德旭 T.lin 刘北江刘成刘春秀 D.Liu 刘福虎刘芳刘峰 G.M.Liu H.Liu 刘宏邦刘怀民刘欢欢刘汇慧刘建北刘佳俊刘晶译刘凯刘魁勇刘珂刘亮刘露刘美宏刘佩莲刘倩刘树彬刘桐刘维克刘卫民刘翔刘英刘玉斌刘振安刘智青娄辛丑卢飞翔吕海江吕军光陆小玲卢宇卢云鹏卢泽辉罗成林罗民兴罗涛罗小兰吕晓睿吕翌丰马凤才马海龙马连良马明明马秋梅马润秋马瑞廷马骁妍马尧 F.E.Maas M.Maggiora S.Maldaner S.Malde Q.A.Malik A.Mangoni 冒亚军毛泽普 S.Marcello 孟召霞 J.G.Messchendorp G.Mezzadri H.Miao 闵天觉 R.E.Mitchell 莫晓虎 N.Yu.Muchnoi Y.Nefedov F.Nerling I.B.Nikolaev 宁哲 S.Nisar 牛艳 S.L.Olsen 欧阳群 S.Pacetti 潘祥潘越 A.Pathak 裴宇鹏 M.Pelizaeus 彭海平 K.Peters 平加伦平荣刚 S.Plura S.Pogodin V.Prasad 齐法制齐航漆红荣祁鸣齐天钰钱森钱文斌钱圳乔从丰秦佳佳秦丽清覃潇平秦小帅秦中华邱进发屈三强 K Institute of High Energy Physics Beijing 100049China Beihang University Beijing 100191China Beijing Institute of PetrochemicalTechnology Beijing 102617China Bochum Ruhr-University D-44780 BochumGermany carnegie Mellon University PittsburghPennsylvania15213USA central china Normal University Wuhan 430079China central South University Changsha 410083China china center of AdvancedScience and Technology Beijing 100190China china University of Geosciences Wuhan 430074China cOMSATS University Islamabad LahoreCampusDefence RoadOff Raiwind Road54000 LahorePakistan Fudan University Shanghai 200433China G.I.Budker Institute of NuclearPhysics SB RAS(BINP) Novosibirsk 630090Russia GSI Helmholtzcentre for Heavy Ion Research GmbH D-64291 DarmstadtGermany GuangxiNormal University Guilin 541004China Guangxi University Nanning 530004China Hangzhou Normal University Hangzhou 310036China Hebei University Baoding 071002China Helmholtz Institute Mainz Staudinger Weg 18D-55099 MainzGermany Henan NormalUniversity Xinxiang 453007China Henan University of Science and Technology Luoyang 471003China Henan University of Technology Zhengzhou 450001China Huangshan college Huangshan 245000China Hunan Normal University Changsha 410081China Hunan University Changsha 410082China Indian Institute of Technology Madras Chennai 600036India Indiana University BloomingtonIndiana 47405USA INFN Laboratori Nazionali di Frascati INFN Laboratori Nazionali di FrascatiI-00044FrascatiItaly INFN Laboratori Nazionali di Frascati INFN Sezione di PerugiaI-06100PerugiaItaly INFN Laboratori Nazionali di Frascati University of PerugiaI-06100PerugiaItaly INFN Sezione di Ferrara INFN Sezione di FerraraI-44122FerraraItaly INFN Sezione di Ferrara University of FerraraI-44122FerraraItaly Institute of Modern Physics Lanzhou 730000People's Republic of China Institute of Physics and Technology Peace Avenue 54BUlaanbaatar 13330Mongolia Instituto de Alta Investigación Universidad de TarapacáCasilla 7DAricaChile Jilin Univers

We report a search for a heavier partner of the recently observed Z_(cs)(3985)^(-) state,denoted as Z_(cs)^('-),in the process e^(+)e^(−)→K^(+)D_(s)^(∗−) D^(∗0 )+ c.c.,based on e^(*)e^(-)collision data collected at the center-of-mass energies of √s=4.661,4.682 and 4.699 GeV with the BESIII *** Z_(cs)^('-) is of interest as it is expected to be a candidate for a hidden-charm and open-strange tetraquark.A partial-reconstruction technique is used to isolate K^(+)recoil-mass spectra,which are probed for a potential contribution from Z_(cs)^('-)→D_(s)^(∗−) D^(∗0 )+ *** find an excess of Z_(cs)^('-)→D_(s)^(*-)-D^(*0)(c.c.)candidates with a significance of 2.1o,after considering systematic uncertainties,at a mass of(4123.5±0.7_(sat)±4.7_(syst.))MeV/c^(2).As the data set is limited in size,the upper limits are evaluated at the 90%confidence level on the product of the Born cross sections(σ^(Borm))and the branching fraction(B)of Z_(cs)^('-)→D_(s)^(*-)-D^(*0),under different assumptions of the Z_(cs)^('-) mass from 4.120 to 4.140 MeV and of the width from 10 to 50 MeV at the three center-of-mass *** upper limits of σ^(Born).B are found to be at the level of O(1)pb at each *** data samples are needed to confirm the Z_(cs)^('-) state and clarify its nature in the coming years.

关键词： electron-positron collision BESIl hadron spectroscopy tetraquark

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Observations of the cabibbo-Suppressed decays Λ_(c)^(+)→nπ+π^(0),nπ^(+)π^(-)π^(+) and the cabibbo-Favored decay Λ_(c)^(+)→nK^(-)π^(+)π^(+)

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chinese Physics c 2023年第2期47卷 1-18页

作者：麦迪娜 M.N.Achasov P.Adlarson M.Albrecht R.Aliberti A.Amoroso 安美儒安琪白羽 O.Bakina R.Baldini Ferroli I.Balossino 班勇 V.Batozskaya D.Becker K.Begzsuren N.Berger M.Bertani D.Bettoni F.Bianchi E.Bianco J.Bloms A.Bortone I.Boyko R.A.Briere A.Brueggemann 蔡浩蔡啸 A.calcaterra 曹国富曹宁 S.A.cetin 常劲帆常万玲车国荣 G.chelkov 陈琛陈超陈刚陈和生陈玛丽陈申见陈少敏 T.chen 陈旭荣 x.T.chen 陈元柏陈卓俊成伟帅 S.K.choi 初晓 G.cibinetto F.cossio 崔佳佳代洪亮代建平 A.Dbeyssi R.Ede Boer D.Dedovich 邓子艳 A.Denig I.Denysenko M.Destefanis F.De Mori 丁勇丁逸董静董燎原董明义董翔杜书先段宗欢 P.Egorov 范玉兰方建房双世方文兴方易 R.Farinelli L.Fava F.Feldbauer G.Felici 封常青冯俊华 K Fischer M.Fritsch c.Fritzsch 傅成栋高涵高原宁高扬 S.Garbolino I.Garzia 葛潘婷葛振武耿聪 E.M.Gersabeck A Gilman K.Goetzen 龚丽龚文煊 W.Gradl M.Greco 谷立民顾旻皓顾运厅关春懿郭爱强郭立波郭如盼郭玉萍 A.Guskov 韩文颖郝喜庆 F.A.Harris 何凯凯何康林 F.H.Heinsius c.H.Heinz 衡月昆 c.Herold 侯国一侯颖锐侯治龙胡海明 J.F.Hu 胡涛胡誉黄光顺黄凯旋黄麟钦黄性涛黄燕萍黄震 T.Hussain N Hüsken W.Imoehl M.Irshad J.Jackson S.Jaeger S.Janchiv E.Jang J.H.Jeong 纪全姬清平季晓斌季筱璐吉钰瑶贾泽坤姜赛赛江晓山 Y.Jiang 焦健斌焦铮金山金毅荆茂强 T.Johansson N.Kalantar-Nayestanaki 康晓珅 R.Kappert M.Kavatsyuk 柯百谦 I.K.Keshk A.Khoukaz R.Kiuchi R.Kliemt L.Koch O.B.Kolcu B.Kopf M.Kuemmel M.Kuessner A.Kupsc W.Kühn J.J.Lane J.S.Lange P.Larin A.Lavania L.Lavezzi 雷祚弘 H.Leithoff M.Lellmann T.Lenz 李翠李聪李春花李澄李德民李飞李刚李慧李贺李海波李惠静 H.N.Li J.Q.Li 李静舒李井文李科 L.J Li 李龙科李蕾李明浩李培荣李素娴栗帅迎李腾李卫东李卫国李旭红李晓玲李晓宇李彦谷李振轩李紫源梁畅梁昊梁浩梁浩梁勇飞梁羽铁廖广睿廖龙洲 J.Libby A.Limphirat 林创新林德旭 T.lin 刘北江刘成刘春秀 D.Liu 刘福虎刘芳刘峰 G.M.Liu H.Liu 刘宏邦刘怀民刘欢欢刘汇慧刘建北刘佳俊刘晶译刘凯刘魁勇刘珂刘亮刘露刘美宏刘佩莲刘倩刘树彬刘桐刘维克刘卫民刘翔刘英刘玉斌刘振安刘智青娄辛丑卢飞翔吕海江吕军光陆小玲卢宇卢云鹏 Z.H.Lu 罗成林罗民兴罗涛罗小兰吕晓睿吕翌丰马凤才马海龙马连良马明明马秋梅马润秋马瑞廷马骁妍马尧 F.E.Maas M.Maggiora S.Maldaner S.Malde Q.A.Malik A.Mangoni 冒亚军毛泽普 S.Marcello 孟召霞 J.G.Messchendorp G.Mezzadri H.Miao 闵天觉 R.E.Mitchell 莫晓虎 N.Yu.Muchnoi Y.Nefedov F.Nerling I.B.Nikolaev 宁哲 S.Nisar 牛艳 S.L.Olsen 欧阳群 S.Pacetti 潘祥潘越 A.Pathak P.Patteri M.Pelizaeus 彭海平 K.Peters 平加伦平荣刚 S.Plura S.Pogodin V.Prasad 齐法制齐航漆红荣祁鸣齐天钰钱森钱文斌钱圳乔从丰秦佳佳秦丽清覃潇平秦小帅秦中华邱进发屈三强 K.H.Rashid c.F Institute of High Energy Physics Beijing 100049China Beihang University Beijing 100191China Beijing Institute of Petrochemical Technology Beijing 102617China Bochum Ruhr-University D-44780 BochumGermany carnegie Mellon University PittsburghPennsylvania 15213USA central china Normal University Wuhan 430079China central South University Changsha 410083China china center of Advanced Science and Technology Beijing 100190China cOMSATS University Islamabad Lahore CampusDefence RoadOff Raiwind Road54000 LahorePakistan Fudan University Shanghai 200433China G.I.Budker Institute of Nuclear Physics SB RAS(BINP) Novosibirsk 630090Russia GSI Helmholtzcentre for Heavy Ion Research GmbH D-64291 DarmstadtGermany Guangxi Normal University Guilin 541004China Guangxi University Nanning 530004China Hangzhou Normal University Hangzhou 310036China Hebei University Baoding 071002China Helmholtz Institute Mainz Staudinger Weg 18D-55099 MainzGermany Henan Normal University Xinxiang 453007China Henan University of Science and Technology Luoyang 471003China Henan University of Technology Zhengzhou 450001China Huangshan college Huangshan 245000China Hunan Normal University Changsha 410081China Hunan University Changsha 410082China Indian Institute of Technology Madras Chennai 600036India Indiana University BloomingtonIndiana 47405USA INFN Laboratori Nazionali di Frascati I-00044FrascatiItaly INFN Sezione di Perugia I-06100PerugiaItaly University of Perugia I-06100PerugiaItaly INFN Sezione di Ferrara I-44122FerraraItaly University of Ferrara I-44122FerraraItaly Institute of Modern Physics Lanzhou 730000China Institute of Physics and Technology Peace Avenue 54BUlaanbaatar 13330Mongolia Jilin University Changchun 130012China Johannes Gutenberg University of Mainz Johann-Joachim-Becher-Weg 45D-55099 MainzGermany Joint Institute for Nuclear Research 141980 DubnaMoscow regionRussia Justus-Liebig-Universitaet Giessen II.Physikalisches InstitutHeinrich-Buff-Ring 16D-35392 GiessenGermany Lanzhou Un

Using electron-positron annihilation data samples corresponding to an integrated luminosity of 4.5 fb-1,collected by the BESⅢdetector in the energy region between 4599.53 MeV and 4698.82 MeV,we report the first observations of the cabibbo-suppressed decaysΛ_(c)^(+)→nπ^(+)π^(0),Λ_(c)^(+)→nπ^(+)π^(-)π^(+),and the cabibbo-favored decayΛ_(c)^(+)→nK^(-)π^(+)π^(+)with statistical significances of 7.9σ,7.8σ,and>10σ,*** branching fractions of these decays are measured to be B(Λ_(c)^(+)→nπ^(+)π^(0))=(0.64±0.09±0.02)%,B(Λ_(c)^(+)→nπ^(+)π^(-)π^(+))=(0.45±0.07±0.03)%,and B(Λ_(c)^(+)→nK^(-)π^(+)π^(+))=(1.90±0.08±0.09)%,where the first uncertainties are statistical and the second are *** find that the branching fraction of the decayΛ_(c)^(+)→nπ^(+)π^(0)is about one order of magnitude higher than that ofΛ_(c)^(+)→nπ^(+).

关键词： ∧_(c)^(+)baryon Branching fraction BESⅢdetector

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Impacts of Nutlin-3a and exercise on murine double minute 2-enriched glioma treatment

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Neural Regeneration Research 2025年第4期20卷 1135-1152页

作者： Yisheng chen Zhongcheng Fan Zhiwen Luo xueran Kang Renwen Wan Fangqi Li Weiwei lin Zhihua Han Beijie Qi Jinrong lin Yaying Sun Jiebin Huang Yuzhen xu Shiyi chen Department of Sport Medicine Huashan HospitalFudan UniversityShanghaiChina Department of Orthopedic Surgery Hainan Province Clinical Medical CenterHaikou Affiliated Hospital of Central South University Xiangya School of MedicineHaikouHainan ProvinceChina Department of Basic Medicine Shanghai Jiao Tong University School of MedicineShanghai Jiao Tong UniversityShanghaiChina Department of Neurosurgery Second Affiliated Hospital of Zhejiang University School of MedicineZhejiang UniversityHangzhouZhejiang ProvinceChina Department of Orthopedics Shanghai General HospitalSchool of Medicine Shanghai Jiao Tong UniversityShanghaiChina Department of Infectious Diseases Children’s Hospital of Fudan UniversityNational Children’s Medical CenterShanghaiChina Department of Rehabilitation The Second Affiliated Hospital of Shandong First Medical UniversityTaianShandong ProvinceChina

Recent research has demonstrated the impact of physical activity on the prognosis of glioma patients,with evidence suggesting exercise may reduce mortality risks and aid neural *** role of the small ubiquitin-like modifier(SUMO)protein,especially post-exercise,in cancer progression,is gaining attention,as are the potential anti-cancer effects of *** used machine learning to create the exercise and SUMO-related gene signature(ESLRS).This signature shows how physical activity might help improve the outlook for low-grade glioma and other *** demonstrated the prognostic and immunotherapeutic significance of ESLRS markers,specifically highlighting how murine double minute 2(MDM2),a component of the ESLRS,can be targeted by *** underscores the intricate relationship between natural compounds such as nutlin-3 and immune *** comprehensive cRISPR screening,we validated the effects of specific ESLRS genes on low-grade glioma *** also revealed insights into the effectiveness of Nutlin-3a as a potent MDM2 inhibitor through molecular docking and dynamic ***-3a inhibited glioma cell proliferation and activated the p53 *** efficacy decreased with MDM2 overexpression,and this was reversed by Nutlin-3a or *** using a low-grade glioma mouse model highlighted the effect of physical activity on oxidative stress and molecular pathway ***,both physical exercise and Nutlin-3a administration improved physical function in mice bearing tumors derived from MDM2-overexpressing *** results suggest the potential for Nutlin-3a,an MDM2 inhibitor,with physical exercise as a therapeutic approach for glioma *** research also supports the use of natural products for therapy and sheds light on the interaction of exercise,natural products,and immune regulation in cancer treatment.

关键词： exercise and SUMO-related gene signatures(ESLRS) glioblastoma management low-grade glioma natural bioactives neural regeneration physical exercise

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