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RepBoTNet-CESA:An Alzheimer’s Disease Computer Aided Diagnosis Method Using Structural Reparameterization BoTNet and Cubic Embedding Self Attention

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Computers, Materials & Continua 2024年第5期79卷 2879-2905页

作者： xiabin zhang zhongyi Hu Lei xiao Hui huang College of Computer Science and Artificial Intelligence Wenzhou UniversityWenzhou325035China Key Laboratory of Intelligence Image Processing and Analysis Wenzhou UniversityWenzhou325035China

Various deep learning models have been proposed for the accurate assisted diagnosis of early-stage Alzheimer’s disease(AD).Most studies predominantly employ Convolutional Neural Networks(CNNs),which focus solely on local features,thus encountering difficulties in handling global *** contrast to natural images,Structural Magnetic Resonance Imaging(sMRI)images exhibit a higher number of channel ***,during the Position Embedding stage ofMulti Head Self Attention(MHSA),the coded information related to the channel dimension is *** tackle these issues,we propose theRepBoTNet-CESA network,an advanced AD-aided diagnostic model that is capable of learning local and global features *** combines the advantages of CNN networks in capturing local information and Transformer networks in integrating global information,reducing computational costs while achieving excellent classification ***,it uses the Cubic Embedding Self Attention(CESA)proposed in this paper to incorporate the channel code information,enhancing the classification performance within the Transformer ***,the RepBoTNet-CESA performs well in various AD-aided diagnosis tasks,with an accuracy of 96.58%,precision of 97.26%,and recall of 96.23%in the AD/NC task;an accuracy of 92.75%,precision of 92.84%,and recall of 93.18%in the EMCI/NC task;and an accuracy of 80.97%,precision of 83.86%,and recall of 80.91%in the AD/EMCI/LMCI/NC *** demonstrates that RepBoTNet-CESA delivers outstanding outcomes in various AD-aided diagnostic ***,our study has shown that MHSA exhibits superior performance compared to conventional attention mechanisms in enhancing ResNet ***,the Deeper RepBoTNet-CESA network fails to make further progress in AD-aided diagnostic tasks.

关键词： Alzheimer CNN structural reparameterization multi head self attention computer aided diagnosis

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Remodel the perifollicular microenvironment via Minoxidil-loaded microneedle patch and cold atmospheric plasma for treating androgenetic alopecia

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Nano Research 2024年第7期17卷 6411-6419页

作者： Hao Chen xianzhe Tang Yueye huang Chen Chen Yuheng Yang Chaojie Hao Wenqi xie Tingjing huang xiaofeng Cheng Qingnan xu Shicong huang zhi Ye xucong Lin zhaowei Chen zhitong Chen MOE Key Laboratory for Analytical Science of Food Safety and Biology and New Cornerstone Science LaboratoryCollege of ChemistryFuzhou UniversityFuzhou 350108China Institute of Biomedical and Health Engineering Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China Advanced Therapeutic Center National Innovation Center for Advanced Medical DevicesShenzhen 518000China Department of Chemistry University College LondonLondon WC1H 0AJUK Engineering Technology Research Center on Reagent and Instrument for Rapid Detection of Product Quality and Food Safety in Fujian Province College of ChemistryFuzhou UniversityFuzhou 350108China Key Laboratory of Biomedical Imaging Science and System Chinese Academy of SciencesShenzhen 518055China

Androgenetic alopecia(AGA)is a chronic and progressive form of hair loss characterized by vascular degeneration in the perifollicular microenvironment,leading to cell apoptosis and eventual loss of hair follicles(HFs).Traditional therapeutic formulations,such as Minoxidil(MxD)tincture,have limitations in reshaping the perifollicular microenvironment and exhibit limited ***,we report a multi-synergistic therapeutic platform for high-performance hair regeneration *** platform combines microneedle(MN)patches loaded with MxD-encapsulated nanostructured lipid carriers(MxD-NLC-MNs)and cold atmospheric plasma(CAP).The MNs’mechanical strength enables efficient transdermal delivery of MxD to the targeted dermal papilla cells,promoting cell ***,in collaboration with MxD,the mechanical stimulation exerted by MN application synergistically upregulates the expression of vascular endothelial growth factor,leading to ***,the transient microchannels in the skin created by MNs facilitate the transdermal delivery of CAPgenerated nitric oxide(NO)to the sites of HF lesions,whereby the synergistic interaction between MxD and NO boosts perifollicular ***,the perifollicular microenvironment can be effectively reshaped to accelerate hair regeneration in AGA murine *** multi-synergistic combination therapy strategy would hold great promise for effectively treating AGA and promoting hair regrowth.

关键词： nanomedicine androgenetic alopecia microneedle cold atmospheric plasma drug delivery

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Co-influence of the start of thermal growing season and precipitation on vegetation spring green-up on the Tibetan Plateau

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Advances in Climate Change Research 2024年第2期15卷 327-337页

作者： Chen-Peng WANG Meng-Tian huang Pan-Mao zHAI State Key Laboratory of Severe Weather and Institute of Global Change and Polar Meteorology Chinese Academy of Meteorological SciencesBeijing 100081China University of Chinese Academy of Sciences Beijing 100049China

The climate in the Tibetan Plateau(TP)has undergone significant change in recent decades,mainly in thermal and water conditions,which plays a crucial role in phenological changes in vegetation spring ***,how the start of the thermal growing season(SOS-T)and the start of the rainy season(SORS)as key climatic factors affect vegetation green-up remains *** that these factors characterize thermal and water conditions required for vegetation green-up,this study investigated changes in the SOS-T and SORS from 1961 to 2022,using observation-based datasets with long time *** found that the SOS-T and SORS have advanced across the TP in 1961-2022 and have shown a spatial pattern of advancement in the east and delay in the west in ***,the co-effect of temperature and precipitation change on the start of vegetation growing season(SOS-V)in 2000-2022 was *** across TP,the SOS-V had an early onset of 1.3 d per decade during 2000-2022,corresponding to advanced SOS-T and ***,the SOS-V generally occurred nearly at the same time as the SOS-T in the high-altitude meadow region.A substantial delay in the SOS-V relative to the SOS-T was observed in the desert,shrub,grassland and forest regions and generally kept pace with the ***,for 50%of the vegetated regions on the TP,inter-annual variation in the delay in the SOS-V relative to the SOS-T was dominated by precipitation change,which was profound in warm-climate *** study highlights the co-regulation of precipitation and temperature change in the SOS-V in different vegetation cover regions in the TP,offering a scientific foundation for comprehending the impact of climate change and prospects for vegetation phenology on the TP.

关键词： Tibetan Plateau Start of growing season Temperature Precipitation Climate change

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Observation of e^+e^-→D_s^+■^((*)0)K^- and study of the P-wave D_s mesons

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Chinese Physics C 2019年第3期43卷 5-16页

作者： M.Ablikim M.N.Achasov S.Ahmed M.Albrecht M.Alekseev A.Amoroso F.F.An Q.An Y.Bai O.Bakina R.Baldini Ferroli Y.Ban K.Begzsuren D.W.Bennett J.V.Bennett N.Berger M.Bertani D.Bettoni F.Bianchi I.Boyko R.A.Briere H.Cai x.Cai A.Calcaterra G.F.Cao S.A.Cetin J.Chai J.F.Chang W.L.Chang G.Chelkov G.Chen H.S.Chen J.C.Chen M.L.Chen S.J.Chen Y.B.Chen W.S.Cheng G.Cibinetto F.Cossio H.L.Dai J.P.Dai A.Dbeyssi D.Dedovich z.Y.Deng A.Denig I.Denysenko M.Destefanis F.De Mori Y.Ding C.Dong J.Dong L.Y.Dong M.Y.Dong z.L.Dou S.x.Du J.z.Fan J.Fang S.S.Fang Y.Fang R.Farinelli L.Fava F.Feldbauer G.Felici C.Q.Feng M.Fritsch C.D.Fu Y.Fu Q.Gao x.L.Gao Y.N.Gao Y.G.Gao z.Gao B.Garillon I.Garzia A.Gilman K.Goetzen L.Gong W.x.Gong W.Gradl M.Greco L.M.Gu M.H.Gu S.Gu Y.T.Gu A.Q.Guo L.B.Guo R.P.Guo Y.P.Guo A.Guskov z.Haddadi S.Han x.Q.Hao F.A.Harris K.L.He F.H.Heinsius T.Held Y.K.Heng z.L.Hou H.M.Hu J.F.Hu T.Hu Y.Hu G.S.huang J.S.huang x.T.huang x.z.huang z.L.huang N.Huesken T.Hussain W.Ikegami Andersson W.Imoehl M.Irshad Q.Ji Q.P.Ji x.B.Ji x.L.Ji H.L.Jiang x.S.Jiang x.Y.Jiang J.B.Jiao z.Jiao D.P.Jin S.Jin Y.Jin T.Johansson N.Kalantar-Nayestanaki x.S.Kang M.Kavatsyuk B.C.Ke I.K.Keshk T.Khan A.Khoukaz P.Kiese R.Kiuchi R.Kliemt L.Koch O.B.Kolcu B.Kopf M.Kuemmel M.Kuessner A.Kupsc M.Kurth W.Kühn J.S.Lange P.Larin L.Lavezzi H.Leithoff C.Li Cheng Li D.M.Li F.Li F.Y.Li G.Li H.B.Li H.J.Li J.C.Li J.W.Li Ke Li L.K.Li Lei Li P.L.Li P.R.Li Q.Y.Li W.D.Li W.G.Li x.L.Li x.N.Li x.Q.Li z.B.Li H.Liang Y.F.Liang Y.T.Liang G.R.Liao L.z.Liao J.Libby C.x.Lin D.x.Lin B.Liu B.J.Liu C.x.Liu D.Liu D.Y.Liu F.H.Liu Fang Liu Feng Liu H.B.Liu H.L Liu H.M.Liu Huanhuan Liu Huihui Liu J.B.Liu J.Y.Liu K.Y.Liu Kai Liu Ke Liu Q.Liu S.B.Liu x.Liu Y.B.Liu z.A.Liu zhiqing Liu Y.F.Long x.C.Lou H.J.Lu J.D.Lu J.G.Lu Y.Lu Y.P.Lu C.L.Luo M.x.Luo P.W.Luo T.Luo x.L.Luo S.Lusso x.R.Lyu F.C.Ma H.L.Ma L.L.Ma M.M.Ma Q.M.Ma x.N.Ma x.x.Ma x.Y.Ma Y.M.Ma F.E.Maas M.Maggiora S.Maldaner Q.A.Malik A.Mangoni Y.J.Mao z.P.Mao S.Marcello z.x.Meng J.G.Messchendorp G.Mezzadri J.Min T.J.Min R.E.Mitchell x.H.Mo Y 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 China Center of Advanced Science and Technology Beijing 100190China COMSATS University Islamabad Lahore CampusDefence RoadOff Raiwind Road54000 LahorePakistan Fudan University Shanghai 200443China 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 Helmholtz Institute Mainz Johann-Joachim-Becher-Weg 45D-55099 MainzGermany Henan Normal University Xinxiang 453007China Henan University of Science and Technology Luoyang 471003China 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 Ferrara I-44122FerraraItaly Institute of Physics and Technology Peace Ave.54BUlaanbaatar 13330Mongolia 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 KVI-CART University of GroningenNL-9747 AA GroningenThe Netherlands Lanzhou University Lanzhou 730000China Liaoning University Shenyang 110036China Nanjing Normal University Nanjing 210023China Nanjing University Nanjing 210093China Nankai University Tianjin 300071China Peking University Beijing 100871China Shandong University Jinan 250100China Shanghai

Studies of e^+e~→D_s^+■^((*)0)K^-and the P-wave charmed-strange mesons are performed based on an e^+e^-collision data sample corresponding to an integrated luminosity of 567 pb^(-1) collected with the BESIII detector at s^(1/2)=4.600 GeV. The processes of e^+e^-→D_s^+■^(*0)K^- and D_s^+■~0K^- are observed for the first time and are found to be dominated by the modes D_s^+D_(s1)(2536)^-and D_s^+D_(s2)~*(2573)^-, respectively. The Born cross sections are measured to be σ~B(e^+e^-→D_s^+■^(*0)K^-) =(10.1±2.3±0.8) pb and σ~B(e^+e^-→D_s^+■~0K^-) =(19.4±2.3± 1.6) pb, and the products of Born cross section and the decay branching fraction are measured to be σ~B(e^+e^-→D_s^+D_(s1)(2536)^-+c.c.)·B(D_(s1)(2536)^-→■^(*0)K^-)=(7.5±1.8±0.7) pb and σ~B(e^+e^-→D_s^+D_(s2)~*(2573)^-+ c.c.)·B(D_(s2)~*(2573)^-→■~0 K^-)=(19.7 ± 2.9 ±2.0) pb. For the D_(s1)(2536)^-and D_(s2)~*(2573)^-mesons, the masses and widths are measured to be M(D_(s1)(2536)^-)=(2537.7±0.5 ±3.1) MeV/c2, Γ(D_(s1)(2536)^-) =(1.7 ±1.2 ±0.6)MeV, and M(D_(s2)~*(2573)^-)=(2570.7±2.0 ±1.7) MeV/c^2, Γ(D_(s2)~*(2573)^-)=(17.2 ±3.6 ±1.1) MeV. The spin-parity of the D_(s2)~*(2573)^-meson is determined to be J^p= 2^+. In addition, the processes e^+e^-→D_s^+■^((*)0)K^-are searched for using the data samples taken at four(two) center-of-mass energies between 4.416(4.527) and 4.575 GeV, and upper limits at the 90% confidence level on the cross sections are determined.

关键词： cross section P-wave D_s mesons resonance parameters spin-parity BESIII

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Cooperative Anti-Jamming and Interference Mitigation for UAV Networks: A Local Altruistic Game Approach

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China Communications 2024年第2期21卷 183-196页

作者： Yueyue Su Nan Qi zanqi huang Rugui Yao Luliang Jia College of Electronic Information Engineering Nanjing University of Aeronautics and AstronauticsNanjing 211106China National Mobile Communications Research Laboratory Southeast UniversityNanjing 210096China School of Electronics and Information Northwestern Polytechnical UniversityXi’an 710072China School of Space Information Space Engineering UniversityBeijing 101416China

To improve the anti-jamming and interference mitigation ability of the UAV-aided communication systems, this paper investigates the channel selection optimization problem in face of both internal mutual interference and external malicious jamming. A cooperative anti-jamming and interference mitigation method based on local altruistic is proposed to optimize UAVs’ channel selection. Specifically, a Stackelberg game is modeled to formulate the confrontation relationship between UAVs and the jammer. A local altruistic game is modeled with each UAV considering the utilities of both itself and other UAVs. A distributed cooperative anti-jamming and interference mitigation algorithm is proposed to obtain the Stackelberg equilibrium. Finally, the convergence of the proposed algorithm and the impact of the transmission power on the system loss value are analyzed, and the anti-jamming performance of the proposed algorithm can be improved by around 64% compared with the existing algorithms.

关键词： channel selection cooperative antijamming and interference mitigation local altruistic game Stackelberg game unmanned aerial vehicle(UAV)

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A performance-based hybrid deep learning model for predicting TBM advance rate using Attention-ResNet-LSTM

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第1期16卷 65-80页

作者： Sihao Yu zixin zhang Shuaifeng Wang xin huang Qinghua Lei Department of Geotechnical Engineering College of Civil EngineeringTongji UniversityShanghaiChina Key Laboratory of Geotechnical and Underground Engineering Ministry of EducationTongji UniversityShanghaiChina Department of Earth Sciences ETH ZürichZürichSwitzerland Department of Earth Sciences Uppsala UniversityUppsalaSweden

The technology of tunnel boring machine(TBM)has been widely applied for underground construction worldwide;however,how to ensure the TBM tunneling process safe and efficient remains a major *** rate is a key parameter of TBM operation and reflects the TBM-ground interaction,for which a reliable prediction helps optimize the TBM ***,we develop a hybrid neural network model,called Attention-ResNet-LSTM,for accurate prediction of the TBM advance rate.A database including geological properties and TBM operational parameters from the Yangtze River Natural Gas Pipeline Project is used to train and test this deep learning *** evolutionary polynomial regression method is adopted to aid the selection of input *** results of numerical exper-iments show that our Attention-ResNet-LSTM model outperforms other commonly-used intelligent models with a lower root mean square error and a lower mean absolute percentage ***,parametric analyses are conducted to explore the effects of the sequence length of historical data and the model architecture on the prediction accuracy.A correlation analysis between the input and output parameters is also implemented to provide guidance for adjusting relevant TBM operational *** performance of our hybrid intelligent model is demonstrated in a case study of TBM tunneling through a complex ground with variable ***,data collected from the Baimang River Tunnel Project in Shenzhen of China are used to further test the generalization of our *** results indicate that,compared to the conventional ResNet-LSTM model,our model has a better predictive capability for scenarios with unknown datasets due to its self-adaptive characteristic.

关键词： Tunnel boring machine(TBM) Advance rate Deep learning Attention-ResNet-LSTM Evolutionary polynomial regression

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Modulated Degradation Rates of Bone Mineral-Like Calcium Phosphate Glass to Support the Proliferation and Osteogenic Differentiation of Bone Marrow-Derived Stem Cells

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Journal of Bionic Engineering 2024年第4期21卷 1960-1974页

作者： Lizhe He Yuye huang Jiafei Gu xiaoling Liu Jun Yin xiang Gao Department of Neurosurgery The First Affiliated Hospital of Ningbo UniversityNingbo315010China Center for Medical and Engineering Innovation The First Affiliated Hospital of Ningbo UniversityNingbo315010China The State Key Laboratory of Fluid Power Transmission and Control Systems Key Laboratory of 3D Printing Process and Equipment of Zhejiang ProvinceSchool of Mechanical EngineeringZhejiang UniversityHangzhou310028China Faculty of Science and Engineering University of Nottingham Ningbo ChinaNingbo315100China

With an elemental composition similar to bone mineral,and the ability to release phosphorus and calcium that benefit bone regeneration,Calcium Phosphate Glass(CPG)serves as a promising component of bone tissue engineering ***,the degradation of CPG composites typically results in increased acidity,and its impact on bone-forming activity is less *** this work,we prepared 3D-printed composite scaffolds comprising CPG,Poly-ε-caprolactone(PCL),and various Magnesium Oxide(MgO)*** the MgO content effectively suppressed the degradation of CPG,maintaining a physiological pH of the degradation *** the degradation of CPG/PCL scaffolds resulted in upregulated apoptosis of Rat Bone Marrow-derived Stem Cells(rBMSC),scaffolds containing MgO were free from these negative impacts,and an optimal MgO content of 1 wt%led to the most pronounced osteogenic differentiation of *** work demonstrated that the rapid degradation of CPG impaired the renewability of stem cells through the increased acidity of the surrounding media,and MgO effectively modulated the degradation rate of CPG,thus preventing the negative effects of rapid degradation and supporting the proliferation and osteogenic differentiation of the stem cells.

关键词： Phosphate glass Polymer composites 3D printing Bone tissue engineering Scaffolds

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Amplitude analysis of the decays D^(0)→π^(+)π^(−)π^(+)π^(−)and D^(0)→π^(+)π^(−)π^(0)π^(0)

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Chinese Physics C 2024年第8期48卷 6-33页

作者： M.Ablikim M.N.Achasov P.Adlarson O.Afedulidis x.C.Ai R.Aliberti A.Amoroso Q.An Y.Bai O.Bakina I.Balossino Y.Ban H.-R.Bao V.Batozskaya K.Begzsuren N.Berger M.Berlowski M.Bertani D.Bettoni F.Bianchi E.Bianco A.Bortone I.Boyko R.A.Briere A.Brueggemann H.Cai x.Cai A.Calcaterra G.F.Cao N.Cao S.A.Cetin J.F.Chang W.L.Chang G.R.Che G.Chelkov C.Chen C.H.Chen Chao Chen G.Chen H.S.Chen M.L.Chen S.J.Chen S.L.Chen S.M.Chen T.Chen x.R.Chen x.T.Chen Y.B.Chen Y.Q.Chen z.J.Chen z.Y.Chen S.K.Choi x.Chu G.Cibinetto F.Cossio J.J.Cui H.L.Dai J.P.Dai A.Dbeyssi R.E.de Boer D.Dedovich C.Q.Deng z.Y.Deng A.Denig I.Denysenko M.Destefanis F.De Mori B.Fang S.S.Fang W.x.Fang Y.Fang Y.Q.Fang R.Farinelli L.Fava F.Feldbauer G.Felici C.Q.Feng J.H.Feng Y.T.Feng K.Fischer M.Fritsch C.D.Fu J.L.Fu Y.W.Fu H.Gao Y.N.Gao Yang Gao S.Garbolino I.Garzia P.T.Ge z.W.Ge C.Geng E.M.Gersabeck B.Ding x.x.Ding Y.Ding Y.Ding J.Dong L.Y.Dong M.Y.Dong x.Dong M.C.Du S.x.Du z.H.Duan P.Egorov Y.H.Fan J.Fang JA.Gilman K.Goetzen L.Gong W.x.Gong W.Gradl S.Gramigna M.Greco M.H.Gu Y.T.Gu C.Y.Guan z.L.Guan A.Q.Guo L.B.Guo M.J.Guo R.P.Guo Y.P.Guo A.Guskov J.Gutierrez K.L.Han T.T.Han x.Q.Hao F.A.Harris K.K.He K.L.He F.H.Heinsius C.H.Heinz Y.K.Heng C.Herold T.Holtmann P.C.Hong G.Y.Hou x.T.Hou Y.R.Hou z.L.Hou B.Y.Hu H.M.Hu J.F.Hu T.Hu Y.Hu G.S.huang K.x.huang L.Q.huang x.T.huang Y.P.huang T.Hussain F.H\"olzken N.H\"usken N.in der Wiesche M.Irshad J.Jackson S.Janchiv J.H.Jeong Q.Ji Q.P.Ji W.Ji x.B.Ji x.L.Ji Y.Y.Ji x.Q.Jia z.K.Jia D.Jiang H.B.Jiang P.C.Jiang S.S.Jiang T.J.Jiang x.S.Jiang Y.Jiang J.B.Jiao J.K.Jiao z.Jiao S.Jin Y.Jin M.Q.Jing x.M.Jing T.Johansson S.Kabana N.Kalantar-Nayestanaki x.L.Kang x.S.Kang M.Kavatsyuk B.C.Ke V.Khachatryan A.Khoukaz R.Kiuchi O.B.Kolcu B.Kopf M.Kuessner x.Kui A.Kupsc W.K\"uhn J.J.Lane P.Larin L.Lavezzi T.T.Lei z.H.Lei H.Leithoff M.Lellmann T.Lenz C.Li C.Li C.H.Li Cheng Li D.M.Li F.Li G.Li H.Li H.B.Li H.J.Li H.N.Li Hui Li J.R.Li J.S.Li K.Li L.J.Li L.K.Li Lei Li M.H.Li P.R.Li Q.M.Li Q.x.Li R.Li S.x.Li T.Li W.D.Li W.G.Li x.Li x.H.Li x.L.Li x.Y.Li Y Institute of High Energy Physics Chinese Academy of SciencesBeijing 100049China Beihang University Beijing 100191China Bochum Ruhr-University D-44780 BochumGermany Budker Institute of Nuclear Physics SB RAS(BINP) Novosibirsk 630090Russia 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 China University of Geosciences Wuhan 430074China Chung-Ang University Seoul06974Republic of Korea COMSATS University Islamabad Lahore CampusDefence RoadOff Raiwind Road54000 LahorePakistan Fudan University Shanghai 200433China 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 Kaifeng 475004China 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 Inner Mongolia University Hohhot 010021China Institute of Modern Physics Lanzhou 730000China Institute of Physics and Technology Peace Avenue 54BUlaanbaatar 13330Mongolia Instituto de A

Using e^(+)e^(−)annihilation data corresponding to an integrated luminosity of 2.93 fb^(−1)taken at the center-of-mass energy√s=3.773 GeV with the BESIII detector,a joint amplitude analysis is performed on the decays D^(0)→π^(+)π^(−)π^(+)π^(−)and D^(0)→π^(+)π^(−)π^(0)π^(0)(non-η).The fit fractions of individual components are obtained,and large interferences among the dominant components of the decays D^(0)→a_(1)(1260)π,D^(0)→π(1300)π,D^(0)→ρ(770)ρ(770),and D^(0)→2(ππ)_(S)are observed in both *** the obtained amplitude model,the CP-even fractions of D^(0)→π^(+)π^(−)π^(+)π^(−)and D^(0)→π^(+)π^(−)π^(0)π^(0)(non-η)are determined to be(75.2±1.1_(stat).±1.5_(syst.))%and(68.9±1.5_(stat).±2.4_(syst.))%,*** branching fractions of D^(0)→π^(+)π^(−)π^(+)π^(−)and D^(0)→π^(+)π^(−)π^(0)π^(0)(non-η)are measured to be(0.688±0.010_(stat.)±0.010_(syst.))%and(0.951±0.025_(stat.)±0.021_(syst.))%,*** amplitude analysis provides an important model for the binning strategy in measuring the strong phase parameters of D^(0)→4πwhen used to determine the CKM angleγ(ϕ_(3))via the B^(−)→DK^(−)decay.

关键词： BESIII D^(0)meson decays amplitude analysis CP-even fraction

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Effects of Poria cocos polysaccharide on growth performance,physiological parameters,and lipid metabolism of spotted sea bass Lateolabrax maculatus

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Journal of Oceanology and Limnology 2024年第1期42卷 316-331页

作者： Jing LU zhangfan huang Youling YE Anle xU zhongbao LI Fisheries College Jimei UniversityXiamen 361021China Fujian Provincial Key Laboratory of Marine Fishery Resources and Eco-environment Xiamen 361021China

The aquaculture industry has developed significantly over the past few decades and has had a substantial impact on the global food supply and marine fisheries ***,some problems arise behind the scenes due to excessive intensive farming,such as slow animal growth,frequent disease,and lipid metabolism *** problems have limited the sustainable development of the aquaculture industry,and a continuable solution is *** use of fungal polysaccharide appears to provide a solution to these ***,different supplemented levels of Poria cocos polysaccharide(PCP)(0,0.4,0.8,1.2,1.6,and 2.0 g/kg,respectively)were fed to spotted sea bass(Lateolabrax maculatus)in similar size(30.28±0.18 g)in current *** effects of PCP on growth,physiological parameters,and lipid metabolism of spotted sea bass were investigated after a 4-week rearing *** showed,fish with PCP intake presented a significantly higher weight gain,specific growth rate,and a significantly lower feed conversion *** higher trypsin activity in liver and intestine were observed in fish with PCP *** superoxide dismutase activity in serum and liver of fish with PCP intake were significantly improved,while significantly higher serum total antioxidant capacity and hepatic catalase activity were also ***,no significant differences in lysozyme and alkaline phosphatase activity were evident among *** with PCP intake showed a significantly lower total cholesterol,but no noteworthy change in triglyceride and lipid-metabolismrelated genes expression were observed among *** indicated that intake of PCP has a positive effect on growth and antioxidant capacity of spotted sea bass,but seems to have a limited effect on the non-specific immunity and lipid metabolism of spotted sea *** on the regression analysis results,1.4 g/kg of PCP is the optimal dose for spotted sea bass in size(30.28±0.18 g).

关键词： spotted sea bass Poria cocos polysaccharide growth lipid metabolism

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Microstructures and micromechanical behaviors of high -entropy alloys investigated by synchrotron x-ray and neutron diffraction techniques: A review

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International Journal of Minerals,Metallurgy and Materials 2024年第6期31卷 1333-1349页

作者： Yubo huang Ning xu Huaile Lu Yang Ren Shilei Li Yandong Wang Beijing Advanced Innovation Center of Materials Genome Engineering State Key Laboratory for Advanced Metals and MaterialsUniversity of Science and Technology BeijingBeijing 100083China AnSteel Beijing Research Institute Co.Ltd. Beijing 102200China Spallation Neutron Source Science Center Dongguan 523803China Department of Physics City University of Hong KongHong Kong 999077China Institute for Materials Intelligent Technology Liaoning Academy of MaterialsShenyang 110004China

High-entropy alloys(HEAs)possess outstanding features such as corrosion resistance,irradiation resistance,and good mechan-ical properties.A few HEAs have found applications in the fields of aerospace and *** studies on the deformation mech-anisms of HEAs can guide microstructure control and toughness design,which is vital for understanding and studying state-of-the-art structural *** x-ray and neutron diffraction are necessary techniques for materials science research,especially for in situ coupling of physical/chemical fields and for resolving macro/microcrystallographic information on ***,several re-searchers have applied synchrotron x-ray and neutron diffraction methods to study the deformation mechanisms,phase transformations,stress behaviors,and in situ processes of HEAs,such as variable-temperature,high-pressure,and hydrogenation *** this review,the principles and development of synchrotron x-ray and neutron diffraction are presented,and their applications in the deformation mechanisms of HEAs are *** factors that influence the deformation mechanisms of HEAs are also *** review fo-cuses on the microstructures and micromechanical behaviors during tension/compression or creep/fatigue deformation and the application of synchrotron x-ray and neutron diffraction methods to the characterization of dislocations,stacking faults,twins,phases,and intergrain/interphase stress *** on future developments of synchrotron x-ray and neutron diffraction and on research directions on the deformation mechanisms of novel metals are discussed.

关键词： high-entropy alloys microstructures micromechanical behaviors synchrotron x-ray diffraction neutron diffraction

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