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| 1 | The enhanced X-ray Timing and Polarimetry mission—eXTP显示文摘In this paper we present the enhanced X-ray Timing and Polarimetry mission—eXTP. eXTP is a space science mission designed to study fundamental physics under extreme conditions of density, gravity and magnetism. The mission aims at determining the equation of state of matter at supra-nuclear density, measuring effects of QED, and understanding the dynamics of matter in strong-field gravity. In addition to investigating fundamental physics, eXTP will be a very powerful observatory for astrophysics that will provide observations of unprecedented quality on a variety of galactic and extragalactic objects. In particular, its wide field monitoring capabilities will be highly instrumental to detect the electro-magnetic counterparts of gravitational wave sources.The paper provides a detailed description of:(1) the technological and technical aspects, and the expected performance of the instruments of the scientific payload;(2) the elements and functions of the mission, from the spacecraft to the ground segment. | ShuangNan Zhang Andrea Santangelo Marco Feroci YuPeng Xu FangJun Lu Yong Chen Hua Feng Shu Zhang Sφren Brandt Margarita Hernanz Luca Baldini Enrico Bozzo Riccardo Campana Alessandra De Rosa YongWei Dong Yuri Evangelista Vladimir Karas Norbert Meidinger Aline Meuris Kirpal Nandra Teng Pan Giovanni Pareschi Piotr Orleanski QiuShi Huang Stephane Schanne Giorgia Sironi Daniele Spiga Jiri Svoboda Gianpiero Tagliaferri Christoph Tenzer Andrea Vacchi Silvia Zane Dave Walton ZhanShan Wang Berend Winter Xin Wu Jean J.M.in't Zand Mahdi Ahangarianabhari Giovanni Ambrosi Filippo Ambrosino Marco Barbera Stefano Basso Jörg Bayer Ronaldo Bellazzini Pierluigi Bellutti Bruna Bertucci Giuseppe Bertuccio Giacomo Borghi XueLei Cao Franck Cadoux Francesco Ceraudo TianXiang Chen Yu Peng Chen Jerome Chevenez Marta Civitani Wei Cui WeiWei Cui Thomas Dauser Ettore Del Monte Sergio Di Cosimo Sebastian Diebold Victor Doroshenko Michal Dovciak YuanYuan Du Lorenzo Ducci QingMei Fan Yannick Favre Fabio Fuschino JoséLuis Ga'lvez Min Gao MingYu Ge Olivier Gevin Marco Grassi QuanYing Gu YuDong Gu DaWei Han Bin Hong Wei Hu Long Ji ShuMei Jia WeiChun Jiang Thomas Kennedy Ingo Kreykenbohm Irfan Kuvvetli Claudio Labanti Luca Latronico Gang Li MaoShun Li Xian Li Wei Li ZhengWei Li Olivier Limousin HongWei Liu XiaoJing Liu Bo Lu Tao Luo Daniele Macera Piero Malcovati Adrian Martindale Malgorzata Michalska Bin Meng Massimo Minuti Alfredo Morbidini Fabio Muleri Stephane Paltani Emanuele Perinati Antonino Picciotto Claudio Piemonte JinLu Qu Alexandre Rachevski Irina Rashevskaya Jerome Rodriguez Thomas Schanz ZhengXiang Shen LiZhi Sheng JiangBo Song LiMing Song Carmelo Sgro Liang Sun Ying Tan Phil Uttley Bo Wang DianLong Wang GuoFeng Wang Juan Wang LangPing Wang YuSa Wang Anna L.Watts XiangYang Wen Jörn Wilms ShaoLin Xiong JiaWei Yang Sheng Yang YanJi Yang Nian Yu WenDa Zhang Gianluigi Zampa Nicola Zampa Andrzej A.Zdziarski AiMei Zhang ChengMo Zhang Fan Zhang Long Zhang Tong Zhang Yi Zhang XiaoLi Zhang ZiLiang Zhang BaoSheng Zhao ShiJie Zheng Yu Peng Zhou Nicola Zorzi J.Frans Zwart | 2019 | Science China(Physics,Mechanics & Astronomy)2019，62，2： | 11 |
| 2 | 硅粉与纳米硅粉水泥基材料的耐酸性显示文摘为了研究硅粉与纳米硅粉作为添加剂对水泥砂浆耐酸性的影响,本文将标准养护后的样品浸泡于pH=2的硫酸溶液中,并分析了样品在浸泡实验前后的性能变化。实验结果表明,添加硅粉及纳米硅粉能有效提高浸泡前水泥砂浆的单轴抗压强度,降低可渗透孔隙的体积率。相较于纳米硅粉,硅粉对水泥砂浆的性能影响更为显著。在硫酸溶液中浸泡75 d后,样品出现了不同程度的腐蚀。其中,掺5%硅粉及1%纳米硅粉的样品展现了最低的质量损失及长度损失。 | WU Lin-ping HUANG Guang-ping LIU Wei Victor | 2020 | Journal of Central South University2020，27，12： | 5 |
| 3 | Effects of initial particle gradation and rock content on crushing behaviors of weathered phyllite fills——A case of eastern Ankang section of Shiyan—Tianshui highway,China显示文摘The objective of this paper is to investigate the effects of initial particle gradation and rock content on the crushing behavior(i.e.grain size before and after crushing) of weathered phyllite fills.Compaction tests were conducted on weathered phyllite fills with rock contents of 35%,45%,55%,65% and 75%(by weight).First,the particle size distributions(PSDs) were observed before and after compaction,and then the particle breakage of weathered phyllite fills was analyzed by fractal dimension.Relative fractal dimension was proposed to evaluate the effects of initial rock content and initial gradation on the particle breakage.It was found that the fractal dimension method can well characterize the crushing behaviors of the weathered phyllite fills.The finer the fills were,the more they were compacted.That is,after the first compaction,the relative fractal dimension of the weathered phyllite fills increased as the rock content increased,reaching the values of 0.013,0.016,0.024,0.037 and 0.08,respectively.After the second compaction,these relative fractal dimension values,dominated by the initial particle gradation,became 0.059,0.072,0.052,0.095 and 0.118,respectively.In conclusion,the weathered phyllite fills with 55% rock content exhibited the least breakage and were most suitable for filling the subgrade.Findings in this paper will provide significant guidance for the construction of weathered phyllite filling subgrade in future projects. | Feifei Liu Xuesong Mao Yushuo Fan Linping Wu Wei Victor Liu | 2020 | Journal of Rock Mechanics and Geotechnical Engineering2020，12，2： | 2 |
| 4 | A multiple-tissue-specific magnetic resonance imaging model for diagnosing Parkinson’s disease: a brain radiomics study显示文摘Brain radiomics can reflect the characteristics of brain pathophysiology.However,the value of T1-weighted images,quantitative susceptibility mapping,and R2*mapping in the diagnosis of Parkinson’s disease(PD)was underestimated in previous studies.In this prospective study to establish a model for PD diagnosis based on brain imaging information,we collected high-resolution T1-weighted images,R2*mapping,and quantitative susceptibility imaging data from 171 patients with PD and 179 healthy controls recruited from August 2014 to August 2019.According to the inclusion time,123 PD patients and 121 healthy controls were assigned to train the diagnostic model,while the remaining 106 subjects were assigned to the external validation dataset.We extracted 1408 radiomics features,and then used data-driven feature selection to identify informative features that were significant for discriminating patients with PD from normal controls on the training dataset.The informative features so identified were then used to construct a diagnostic model for PD.The constructed model contained 36 informative radiomics features,mainly representing abnormal subcortical iron distribution(especially in the substantia nigra),structural disorganization(e.g.,in the inferior temporal,paracentral,precuneus,insula,and precentral gyri),and texture misalignment in the subcortical nuclei(e.g.,caudate,globus pallidus,and thalamus).The predictive accuracy of the established model was 81.1±8.0%in the training dataset.On the external validation dataset,the established model showed predictive accuracy of 78.5±2.1%.In the tests of identifying early and drug-naïve PD patients from healthy controls,the accuracies of the model constructed on the same 36 informative features were 80.3±7.1%and 79.1±6.5%,respectively,while the accuracies were 80.4±6.3%and 82.9±5.8%for diagnosing middle-to-late PD and those receiving drug management,respectively.The accuracies for predicting tremor-dominant and non-tremor-dominant PD were 79.8±6.9%and 79.1±6.5%,respectively.In conclusion,the multiple-tissue-specific brain radiomics model constructed from magnetic resonance imaging has the ability to discriminate PD and exhibits the advantages for improving PD diagnosis. | Xiao-Jun Guan Tao Guo Cheng Zhou Ting Gao Jing-Jing Wu Victor Han Steven Cao Hong-Jiang Wei Yu-Yao Zhang Min Xuan Quan-Quan Gu Pei-Yu Huang Chun-Lei Liu Jia-Li Pu Bao-Rong Zhang Feng Cui Xiao-Jun Xu Min-Ming Zhang | 2022 | Neural Regeneration Research2022，17，12： | 2 |
| 5 | FungalTraits:a user-friendly traits database of fungi and fungus-like stramenopiles显示文摘The cryptic lifestyle of most fungi necessitates molecular identification of the guild in environmental studies.Over the past decades,rapid development and affordability of molecular tools have tremendously improved insights of the fungal diversity in all ecosystems and habitats.Yet,in spite of the progress of molecular methods,knowledge about functional properties of the fungal taxa is vague and interpretation of environmental studies in an ecologically meaningful manner remains challenging.In order to facilitate functional assignments and ecological interpretation of environmental studies we introduce a user friendly traits and character database FungalTraits operating at genus and species hypothesis levels.Combining the information from previous efforts such as FUNGuild and FunFun together with involvement of expert knowledge,we reannotated 10,210 and 151 fungal and Stramenopila genera,respectively.This resulted in a stand-alone spreadsheet dataset covering 17 lifestyle related traits of fungal and Stramenopila genera,designed for rapid functional assignments of environmental stud-ies.In order to assign the trait states to fungal species hypotheses,the scientific community of experts manually categorised and assigned available trait information to 697,413 fungal ITS sequences.On the basis of those sequences we were able to summarise trait and host information into 92,623 fungal species hypotheses at 1%dissimilarity threshold. | Sergei Põlme Kessy Abarenkov RHenrik Nilsson Björn D.Lindahl Karina Engelbrecht Clemmensen Havard Kauserud Nhu Nguyen Rasmus Kjøller Scott T.Bates Petr Baldrian Tobias Guldberg Frøslev Kristjan Adojaan Alfredo Vizzini Ave Suija Donald Pfister Hans-Otto Baral Helle Järv Hugo Madrid Jenni Nordén Jian-Kui Liu Julia Pawlowska Kadri Põldmaa Kadri Pärtel Kadri Runnel Karen Hansen Karl-Henrik Larsson Kevin David Hyde Marcelo Sandoval-Denis Matthew E.Smith Merje Toome-Heller Nalin N.Wijayawardene Nelson Menolli Jr Nicole K.Reynolds Rein Drenkhan Sajeewa S.N.Maharachchikumbura Tatiana B.Gibertoni Thomas Læssøe William Davis Yuri Tokarev Adriana Corrales Adriene Mayra Soares Ahto Agan Alexandre Reis Machado Andrés Argüelles-Moyao Andrew Detheridge Angelina de Meiras-Ottoni Annemieke Verbeken Arun Kumar Dutta Bao-Kai Cui C.K.Pradeep César Marín Daniel Stanton Daniyal Gohar Dhanushka N.Wanasinghe Eveli Otsing Farzad Aslani Gareth W.Griffith Thorsten H.Lumbsch Hans-Peter Grossart Hossein Masigol Ina Timling Inga Hiiesalu Jane Oja John Y.Kupagme József Geml Julieta Alvarez-Manjarrez Kai Ilves Kaire Loit Kalev Adamson Kazuhide Nara Kati Küngas Keilor Rojas-Jimenez Krišs Bitenieks Laszlo Irinyi LászlóGNagy Liina Soonvald Li-Wei Zhou Lysett Wagner M.Catherine Aime MaarjaÖpik María Isabel Mujica Martin Metsoja Martin Ryberg Martti Vasar Masao Murata Matthew PNelsen Michelle Cleary Milan C.Samarakoon Mingkwan Doilom Mohammad Bahram Niloufar Hagh-Doust Olesya Dulya Peter Johnston Petr Kohout Qian Chen Qing Tian Rajasree Nandi Rasekh Amiri Rekhani Hansika Perera Renata dos Santos Chikowski Renato L.Mendes-Alvarenga Roberto Garibay-Orijel Robin Gielen Rungtiwa Phookamsak Ruvishika S.Jayawardena Saleh Rahimlou Samantha C.Karunarathna Saowaluck Tibpromma Shawn P.Brown Siim-Kaarel Sepp Sunil Mundra Zhu-Hua Luo Tanay Bose Tanel Vahter Tarquin Netherway Teng Yang Tom May Torda Varga Wei Li Victor Rafael Matos Coimbra Virton Rodrigo Targino de Oliveira Vitor Xavier de Lima Vladimir S.Mikryukov Yongzhong Lu Yosuke Matsuda Yumiko Miyamoto Urmas Kõljalg Leho Tedersoo | 2020 | Fungal Diversity2020，，6： | 1 |
| 6 | Spontaneous combustion influenced by surface methane drainage and its prediction by rescaled range analysis显示文摘This study established numerical modeling using COMSOLTMto examine the influence of horizontal location and drainage ability of surface borehole on spontaneous combustion in longwall working face gob. Rescaled Range Analysis(R/S analysis) was employed to investigate the chaos characteristic of N_2/O_2 ratio from a surface borehole in 10416 working face gob, Yangliu Colliery, China. The simulation results show that there is always a circular ‘‘dissipation zone' around the drainage borehole and an elliptic ‘‘spontaneous combustion zone' in deep gob. Little influence was found on spontaneous combustion zone on the intake side of the gob but the width of spontaneous combustion zone in middle gob is enlarged, while the depth of spontaneous combustion zone near the return side is reduced. The R/S analysis indicates that the influence of surface borehole on spontaneous combustion can be divided into two stages by the chaos feature of N_2/O_2: safety drainage stage and spontaneous combustion initiating stage. It can be concluded that the methane drainage from gob through surface borehole can intervene in the distribution of spontaneous combustion zone in gob and the chaos feature of N_2/O_2 from surface borehole can effectively reflect coal spontaneous combustion condition in gob. | Shengqiang Yang Xincheng Hu Wei Victor Liu Jiawen Cai Xiuhong Zhou | 2018 | International Journal of Mining Science and Technology2018，28，2： | 1 |
| 7 | Resolving the inner jet of PKS 1749+096 with super-resolution VLBA images at 7 mm显示文摘High resolution imaging of inner jets in Active Galactic Nuclei(AGNs)with Very Long Baseline Interferometry(VLBI)at millimeter wavelengths provides deep insight into the launching and collimation mechanisms of relativistic jets.The BL Lac object,PKS 1749+096,shows a core-dominated jet pointing toward the northeast on parsec-scales revealed by various VLBI observations.In order to investigate the jet kinematics,in particular,the orientation of the inner jet on the smallest accessible scales and the basic physical conditions of the core,in this work we adopted a super-resolution technique,the Bi-Spectrum Maximum Entropy Method(BSMEM),to reanalyze VLBI images based on the Very Long Baseline Array(VLBA)observations of PKS 1749+096 within the VLBA-BU-BLAZAR 7 mm monitoring program.These observations include a total of 105 epochs covering the period from 2009 to 2019.We found that the stacked image of the inner jet is limb-brightened with an apparent opening angle of 50°.0±8°.0 and 42°.0±6°.0 at the distances of 0.2 and 0.3 mas(0.9 and 1.4 pc)from the core,corresponding to an intrinsic jet opening angle of 5°.2±1°.0 and 4°.3±0°.7,respectively.In addition,our images show a clear jet position angle swing in PKS 1749+096 within the last ten years.We discuss the possible implications of jet limb brightening and the connection of the position angle with jet peak flux density and gamma-ray brightness. | Lang Cui Ru-Sen Lu Wei Yu Jun Liu Victor M.Patino-Alvarez Qi Yuan | 2021 | Research in Astronomy and Astrophysics2021，21，4： | 0 |
| 8 | Appraising the potential of calcium sulfoaluminate cement-based grouts in simulated permafrost environments显示文摘The aim of this study is to appraise the potential of calcium sulfoaluminate(CSA)cement-based grouts in simulated permafrost environments.The hydration and performance of CSA cement-based grouts cured in cold environments(10,0,and−10℃)are investigated using a combination of tests,including temperature recording,X-ray diffraction(XRD)tests,thermogravimetric analysis(TGA),and unconfined compressive strength(UCS)tests.The recorded temperature shows a rapid increase in temperature at the early stage in all the samples.Meanwhile,results of the TGA and XRD tests show the generation of a significant quantity of hydration products,which indicates the rapid hydration of CSA cement-based grouts at the early stage at low temperatures.Consequently,the CSA cement-based grouts exhibit remarkably high early strength.The UCS values of the samples cured for 2 h at−10,0,and 10℃ are 6.5,12.0,and 12.3 MPa,respectively.The UCS of the grouts cured at−10,0,and 10℃ increases continuously with age and ultimately reached 14.9,19.0,and 30.6 MPa at 28 d,respectively.The findings show that the strength of grouts fabricated using CSA cement can develop rapidly in cold environments,thus rendering them promising for permafrost applications. | Jian ZHAO Guangping HUANG Lin LIAO Wei Victor LIU | 2023 | Frontiers of Structural and Civil Engineering2023，17，5： | 0 |
| 9 | Using deep neural networks coupled with principal component analysis for ore production forecasting at open-pit mines显示文摘Ore production is usually affected by multiple influencing inputs at open-pit mines.Nevertheless,the complex nonlinear relationships between these inputs and ore production remain unclear.This becomes even more challenging when training data(e.g.truck haulage information and weather conditions)are massive.In machine learning(ML)algorithms,deep neural network(DNN)is a superior method for processing nonlinear and massive data by adjusting the amount of neurons and hidden layers.This study adopted DNN to forecast ore production using truck haulage information and weather conditions at open-pit mines as training data.Before the prediction models were built,principal component analysis(PCA)was employed to reduce the data dimensionality and eliminate the multicollinearity among highly correlated input variables.To verify the superiority of DNN,three ANNs containing only one hidden layer and six traditional ML models were established as benchmark models.The DNN model with multiple hidden layers performed better than the ANN models with a single hidden layer.The DNN model outperformed the extensively applied benchmark models in predicting ore production.This can provide engineers and researchers with an accurate method to forecast ore production,which helps make sound budgetary decisions and mine planning at open-pit mines. | Chengkai Fan Na Zhang Bei Jiang Wei Victor Liu | 2024 | Journal of Rock Mechanics and Geotechnical Engineering2024，16，3： | 0 |
| 10 | Perinephric myxoid pseudotumor of fat in a young patient with a horseshoe kidney complicated by an obstructing renal calculus显示文摘Dear Editor,Perinephric myxoid pseudotumor of fat(PMPF)is a recently described entity with only a few cases published in the literature.On imaging,the appearances overlap with other better-known fat-containing lesions such as angiomyolipoma and retroperitoneal liposarcoma.We present a novel case of PMPF in a young male patient with horseshoe kidney.We discuss the imaging characteristics on computed tomography(CT)and magnetic resonance imaging,differential diagnoses,as well as the histopathological features of this rare entity.Consent was obtained from the patient for treatment and publication. | Ren Wei Liu Gideon Tan Yi Ting Lim Wei Jin Chua Amanda Cheng Ying Mei Wong Victor Lee Thomas Thamboo | 2023 | Asian Journal of Urology2023，10，3： | 0 |
| 11 | Effects of cellulose nanocrystals on the acid resistance of cementitious composites显示文摘Acid mine drainage presents an important threat to cementitious structures.This study is aimed at investigating the effect of cellulose nanocrystals(CNCs)on the acid resistance of cementitious composites.CNCs were added to mortar mixtures as additives at cement volume ratios of 0.2vol%,0.4vol%,1.0vol%,and 1.5vol%.After 28 d of standard curing,the samples were immersed in a sulfuric acid with a pH value of 2 for 75 d.The unconfined compressive strength(UCS)test,the density,water absorption,void volume test,and thermogravimetric analysis were carried out to investigate the properties of CNC mixtures before sulfuric acid immersion.It was found that the addition of CNC reduced the volume of permeable voids and increased the hydration degree and mechanical strength of the samples.Changes in mass and length were monitored during immersion to evaluate the acid resistance of mixtures.The mixture with 0.4vol%CNC showed a reduced mass change and length change indicating its improved acid resistance. | Lin-ping Wu Guang-ping Huang Chao-shi Hu Wei Victor Liu | 2021 | International Journal of Minerals,Metallurgy and Materials2021，28，11： | 0 |
| 12 | Research on Railway Engineering Experiment Teaching Principles Based on Virtual Simulation Experiment Teaching——Taking the Floating Slab Vibration Damping Track Virtual Experiment as an Example显示文摘Virtual simulation teaching is an addendum to the experimental teaching mode of railway engineering,and the two teaching methods complement each other and merge with each other.In view of the current research,there is little discussion about the integration path of the two above.Based on the connotation and design of virtual simulation teaching,this research systematically expounds the integration of the real path and path optimization problems,and puts forward the railway engineering experimental teaching principles based on virtual simulation teaching.On the basis of this research,a virtual simulation experiment platform for vibration mechanics and its application in the floating slab vibration damping track was developed to make full use of three-dimensional modeling,virtual reality,human-computer interaction and other technologies,which can realistically simulate the vibration law and vibration damping effect of the rail transit system,and in the hope that the virtual simulation teaching can be widely used in the experimental teaching mode of railway engineering in the future. | Zhihui Zhu Zhiping Zeng Jing Liu Lili Liu Lei Xu Wei Chen Wei Li Jianyang Luo Joseph Eleojo Victor | 2021 | Journal of Educational Theory and Management2021，5，2： | 0 |
| 13 | Extending blending proportions of ordinary Portland cement and calcium sulfoaluminate cement blends:Its effects on setting,workability,and strength development显示文摘This study extended blending proportion range of ordinary Portland cement(OPC)and calcium sulfoaluminate(CSA)cement blends,and investigated effects of proportions on setting time,workability,and strength development of OPC-CSA blend-based mixtures.Thermogravimetric analysis(TGA)and X-ray diffraction(XRD)were conducted to help understand the performance of OPC-CSA blend-based mixtures.The setting time of the OPC-CSA blends was extended,and the workability was improved with increase of OPC content.Although the early-age strength decreased with increase of OPC content,the strength development was still very fast when the OPC content was lower than 60%due to the rapid formation and accumulation of ettringite.At 2 h,the OPC-CSA blend-based mortars with OPC contents of 0%,20%,40%,and 60%achieved the unconfined compressive strength(UCS)of 17.5,13.9,9.6,and 5.0 MPa,respectively.The OPC content had a negligible influence on long-term strength.At 90 d,the average UCS of the OPC-CSA blend-based mortars was 39.2±1.7 MPa. | Guangping HUANG Deepak PUDASAINEE Rajender GUPTA Wei Victor LIU | 2021 | Frontiers of Structural and Civil Engineering2021，15，5： | 0 |
| 14 | Correction to:FungalTraits:a user friendly traits database of fungi and fungus-like stramenopiles显示文摘Correction to:Fungal Diversity(2020)105:116 http://gffzzd3cc09b8251d45dfsw9bx5fbnkxck6f5q.ffgz.tsg.suse.edu.cn/10.1007/s13225-020-00466-2 There were errors in the name of author LászlóG.Nagy and in affiliation no.31 in the original publication.The original article has been corrected. | Sergei Põlme Kessy Abarenkov RHenrik Nilsson Björn D.Lindahl Karina Engelbrecht Clemmensen Havard Kauserud Nhu Nguyen Rasmus Kjøller Scott T.Bates Petr Baldrian Tobias Guldberg Frøslev Kristjan Adojaan Alfredo Vizzini Ave Suija Donald Pfister Hans-Otto Baral Helle Järv Hugo Madrid Jenni Nordén Jian-Kui Liu Julia Pawlowska Kadri Põldmaa Kadri Pärtel Kadri Runnel Karen Hansen Karl-Henrik Larsson Kevin David Hyde Marcelo Sandoval-Denis Matthew E.Smith Merje Toome-Heller Nalin N.Wijayawardene Nelson Menolli Jr Nicole K.Reynolds Rein Drenkhan Sajeewa S.N.Maharachchikumbura Tatiana B.Gibertoni Thomas Læssøe William Davis Yuri Tokarev Adriana Corrales Adriene Mayra Soares Ahto Agan Alexandre Reis Machado Andrés Argüelles-Moyao Andrew Detheridge Angelina de Meiras-Ottoni Annemieke Verbeken Arun Kumar Dutta Bao-Kai Cui C.K.Pradeep César Marín Daniel Stanton Daniyal Gohar Dhanushka N.Wanasinghe Eveli Otsing Farzad Aslani Gareth W.Griffith Thorsten H.Lumbsch Hans-Peter Grossart Hossein Masigol Ina Timling Inga Hiiesalu Jane Oja John Y.Kupagme József Geml Julieta Alvarez-Manjarrez Kai Ilves Kaire Loit Kalev Adamson Kazuhide Nara Kati Küngas Keilor Rojas-Jimenez Krišs Bitenieks LászlóIrinyi LászlóGNagy Liina Soonvald Li-Wei Zhou Lysett Wagner M.Catherine Aime MaarjaÖpik María Isabel Mujica Martin Metsoja Martin Ryberg Martti Vasar Masao Murata Matthew P.Nelsen Michelle Cleary Milan C.Samarakoon Mingkwan Doilom Mohammad Bahram Niloufar Hagh-Doust Olesya Dulya Peter Johnston Petr Kohout Qian Chen Qing Tian Rajasree Nandi Rasekh Amiri Rekhani Hansika Perera Renata dos Santos Chikowski Renato L.Mendes-Alvarenga Roberto Garibay-Orijel Robin Gielen Rungtiwa Phookamsak Ruvishika S.Jayawardena Saleh Rahimlou Samantha C.Karunarathna Saowaluck Tibpromma Shawn P.Brown Siim-Kaarel Sepp Sunil Mundra Zhu-Hua Luo Tanay Bose Tanel Vahter Tarquin Netherway Teng Yang Tom May Torda Varga Wei Li Victor Rafael Matos Coimbra Virton Rodrigo Targino de Oliveira Vitor Xavier de Lima Vladimir S.Mikryukov Yongzhong Lu Yosuke Matsuda Yumiko Miyamoto Urmas Kõljalg Leho Tedersoo | 2021 | Fungal Diversity2021，，2： | 0 |
| 15 | A machine learning model to predict unconfined compressive strength of alkali-activated slag-based cemented paste backfill显示文摘The unconfined compressive strength(UCS)of alkali-activated slag(AAS)-based cemented paste backfill(CPB)is influenced by multiple design parameters.However,the experimental methods are limited to understanding the relationships between a single design parameter and the UCS,independently of each other.Although machine learning(ML)methods have proven efficient in understanding relationships between multiple parameters and the UCS of ordinary Portland cement(OPC)-based CPB,there is a lack of ML research on AAS-based CPB.In this study,two ensemble ML methods,comprising gradient boosting regression(GBR)and random forest(RF),were built on a dataset collected from literature alongside two other single ML methods,support vector regression(SVR)and artificial neural network(ANN).The results revealed that the ensemble learning methods outperformed the single learning methods in predicting the UCS of AAS-based CPB.Relative importance analysis based on the bestperforming model(GBR)indicated that curing time and water-to-binder ratio were the most critical input parameters in the model.Finally,the GBR model with the highest accuracy was proposed for the UCS predictions of AAS-based CPB. | Chathuranga Balasooriya Arachchilage Chengkai Fan Jian Zhao Guangping Huang Wei Victor Liu | 2023 | Journal of Rock Mechanics and Geotechnical Engineering2023，15，11： | 0 |
| 16 | Sub-percent precision measurement of neutrino oscillation parameters with JUNO显示文摘JUNO is a multi-purpose neutrino observatory under construction in the south of China.This publication presents new sensitivity estimates for the measurement of the △m_(31)^(2),△m_(21)^(2),sin^(2)θ_(12),and sin^(2)θ_(13) oscillation parameters using reactor antineutrinos,which is one of the primary physics goals of the experiment.The sensitivities are obtained using the best knowledge available to date on the location and overburden of the experimental site,the nuclear reactors in the surrounding area and beyond,the detector response uncertainties,and the reactor antineutrino spectral shape constraints expected from the TAO satellite detector.It is found that the △m_(21)^(2) and sin^(2)θ_(12) oscillation parameters will be determined to 0.5%precision or better in six years of data collection.In the same period,the △m_(31)^(2) parameter will be determined to about 0.2%precision for each mass ordering hypothesis.The new precision represents approximately an order of magnitude improvement over existing constraints for these three parameters. | Angel Abusleme Thomas Adam Shakeel Ahmad Rizwan Ahmed Sebastiano Aiello Muhammad Akram Abid Aleem 安丰鹏 安琪 Giuseppe Andronico Nikolay Anfimov Vito Antonelli Tatiana Antoshkina Burin Asavapibhop João Pedro Athayde Marcondes de André Didier Auguste 白伟东 Nikita Balashov Wander Baldini Andrea Barresi Davide Basilico Eric Baussan Marco Bellato Antonio Bergnoli Thilo Birkenfeld Sylvie Blin David Blum Simon Blyth Anastasia Bolshakova Mathieu Bongrand Clément Bordereau Dominique Breton Augusto Brigatti Riccardo Brugnera Riccardo Bruno Antonio Budano Jose Busto Ilya Butorov Anatael Cabrera Barbara Caccianiga 蔡浩 蔡啸 蔡严克 蔡志岩 Riccardo Callegari Antonio Cammi Agustin Campeny 曹传亚 曹国富 曹俊 Rossella Caruso Cédric Cerna Chi Chan 常劲帆 Yun Chang 陈国明 陈平平 Po-An Chen 陈少敏 Xurong Chen 陈义学 陈羽 陈志源 陈梓康 程捷 程雅苹 Yu Chin Cheng Alexey Chetverikov Davide Chiesa Pietro Chimenti Artem Chukanov Gérard Claverie Catia Clementi Barbara Clerbaux Selma Conforti Di Lorenzo Daniele Corti Flavio Dal Corso Olivia Dalager Christophe De La Taille 邓智 邓子艳 Wilfried Depnering Marco Diaz Xuefeng Ding 丁雅韵 Bayu Dirgantara Sergey Dmitrievsky Tadeas Dohnal Dmitry Dolzhikov Georgy Donchenko 董建蒙 Evgeny Doroshkevich Marcos Dracos Frédéric Druillole 杜然 杜书先 Stefano Dusini Martin Dvorak Timo Enqvist Heike Enzmann Andrea Fabbri Donghua Fan 樊磊 方建 方文兴 Marco Fargetta Dmitry Fedoseev 费政勇 Li-Cheng Feng 冯启春 Richard Ford Amélie Fournier 甘浩男 高峰 Alberto Garfagnini Arsenii Gavrikov Marco Giammarchi Nunzio Giudice Maxim Gonchar 龚光华 宫辉 Yuri Gornushkin Alexandre Göttel Marco Grassi Vasily Gromov 顾旻皓 谷肖飞 古宇 关梦云 管宇铎 Nunzio Guardone 郭聪 郭竞渊 郭万磊 Xinheng Guo 郭宇航 Paul Hackspacher Caren Hagner 韩然 Yang Han 何苗 Wei He Tobias Heinz Patrick Hellmuth 衡月昆 Rafael Herrera 贺远强 侯少静 Yee Hsiung Bei-Zhen Hu 胡航 Jianrun Hu 胡俊 胡守扬 胡涛 胡宇翔 胡焯钧 黄桂鸿 黄翰雄 黄凯旋 黄文昊 Xin Huang 黄性涛 黄永波 惠加琪 霍雷 霍文驹 Cédric Huss Safeer Hussain Ara Ioannisian Roberto Isocrate Beatrice Jelmini Ignacio Jeria 季筱璐 贾慧慧 贾俊基 蹇司玉 蒋荻 蒋炜 江晓山 荆小平 Cécile Jollet Jari Joutsenvaara Leonidas Kalousis Philipp Kampmann 康丽 Rebin Karaparambil Narine Kazarian Amina Khatun Khanchai Khosonthongkee Denis Korablev Konstantin Kouzakov Alexey Krasnoperov Nikolay Kutovskiy Pasi Kuusiniemi Tobias Lachenmaier Cecilia Landini Sébastien Leblanc Victor Lebrin Frederic Lefevre 雷瑞庭 Rupert Leitner Jason Leung Daozheng Li 李德民 李飞 李福乐 李高嵩 Huiling Li 李梦朝 李民 李楠 Nan Li 李清江 李茹慧 李瑞 黎山峰 李涛 李腾 李卫东 李卫国 李笑梅 李小男 李兴隆 李仪 李依宸 李玉峰 Zepeng Li 李兆涵 李志兵 李紫源 李宗海 梁浩 梁昊 廖佳军 Ayut Limphirat Guey-Lin Lin 林盛鑫 林韬 凌家杰 Ivano Lippi 刘芳 刘海东 刘昊天 刘宏邦 刘红娟 刘洪涛 Hui Liu 刘江来 刘金昌 刘敏 刘倩 刘钦 Runxuan Liu 刘树彬 刘术林 刘小伟 刘熙文 Yan Liu Yunzhe Liu Alexey Lokhov Paolo Lombardi Claudio Lombardo Kai Loo 陆川 路浩奇 陆景彬 吕军光 路书祥 Bayarto Lubsandorzhiev Sultim Lubsandorzhiev Livia Ludhova Arslan Lukanov Daibin Luo Fengjiao Luo 罗光 罗舒 罗武鸣 罗晓杰 Vladimir Lyashuk 马帮争 马冰 马秋梅 马斯 马骁妍 马续波 Jihane Maalmi 麦景宇 Yury Malyshkin Roberto Carlos Mandujano Fabio Mantovani Francesco Manzali 冒鑫 冒亚军 Stefano M.Mari Filippo Marini Cristina Martellini Gisele Martin-Chassard Agnese Martini Matthias Mayer Davit Mayilyan Ints Mednieks Artur Meinusch 孟月 Anselmo Meregaglia Emanuela Meroni David Meyhö Mauro Mezzetto Jonathan Miller Lino Miramonti Marta Colomer Molla Paolo Montini Michele Montuschi Axel Müller Massimiliano Nastasi Dmitry V.Naumov Elena Naumova Diana Navas-Nicolas Igor Nemchenok Minh Thuan Nguyen Thi 宁飞鹏 宁哲 Hiroshi Nunokawa Lothar Oberauer Juan Pedro Ochoa-Ricoux Alexander Olshevskiy Domizia Orestano Fausto Ortica Rainer Othegraven Alessandro Paoloni Sergio Parmeggiano 裴亚田 Luca Pelicci Nicomede Pelliccia 彭安国 彭海平 彭宇 彭昭缘 Frédéric Perrot Pierre-Alexandre Petitjean Fabrizio Petrucci Oliver Pilarczyk Luis Felipe Piñeres Artyom Popov Pascal Poussot Ezio Previtali 齐法制 祁鸣 钱森 钱小辉 钱圳 乔浩 秦中华 丘寿康 Gioacchino Ranucci Neill Raper Reem Rasheed Alessandra Re Henning Rebber Abdel Rebii Mariia Redchuk 任斌 任杰 Barbara Ricci Mariam Rifai Mathieu Roche Narongkiat Rodphai Aldo Romani Bedřich Roskovec 阮锡超 Arseniy Rybnikov Andrey Sadovsky Paolo Saggese Simone Sanfilippo Anut Sangka Utane Sawangwit Julia Sawatzki Michaela Schever Cédric Schwab Konstantin Schweizer Alexandr Selyunin Andrea Serafini Giulio Settanta Mariangela Settimo Zhuang Shao Vladislav Sharov Arina Shaydurova 石京燕 史娅楠 Vitaly Shutov Andrey Sidorenkov FedorŠimkovic Chiara Sirignano Jaruchit Siripak Monica Sisti Maciej Slupecki Mikhail Smirnov Oleg Smirnov Thiago Sogo-Bezerra Sergey Sokolov Julanan Songwadhana Boonrucksar Soonthornthum Albert Sotnikov OndřejŠrámek Warintorn Sreethawong Achim Stahl Luca Stanco Konstantin Stankevich DušanŠtefánik Hans Steiger Jochen Steinmann Tobias Sterr Matthias Raphael Stock Virginia Strati Alexander Studenikin 苏俊 孙世峰 孙希磊 孙勇杰 孙永昭 孙正阳 Narumon Suwonjandee Michal Szelezniak 唐健 唐强 唐泉 唐晓 Vidhya Thara Hariharan Eric Theisen Alexander Tietzsch Igor Tkachev Tomas Tmej Marco Danilo Claudio Torri Konstantin Treskov Andrea Triossi Giancarlo Troni Wladyslaw Trzaska Alexandros Tsagkarakis Cristina Tuve Nikita Ushakov Vadim Vedin Giuseppe Verde Maxim Vialkov Benoit Viaud Cornelius Moritz Vollbrecht Cristina Volpe Katharina Von Sturm Vit Vorobel Dmitriy Voronin Lucia Votano Pablo Walker 王彩申 Chung-Hsiang Wang 王恩 王国利 王坚 王俊 汪璐 Meifen Wang 王孟 Meng Wang 王瑞光 王思广 王维 王为 王文帅 王玺 王湘粤 王仰夫 王耀光 王毅 王义 王贻芳 王元清 Yuman Wang 王喆 王铮 王志民 Zongyi Wang Apimook Watcharangkool 魏微 魏巍 韦雯露 魏亚东 温凯乐 温良剑 Christopher Wiebusch 黄振辉 Bjoern Wonsak 吴帝儒 吴群 吴智 Michael Wurm Jacques Wurtz Christian Wysotzki 习宇飞 夏冬梅 Xiang Xiao 谢小川 谢宇广 Zhangquan Xie 辛钊 邢志忠 续本达 徐程 徐东莲 徐繁荣 许杭锟 徐吉磊 徐晶 徐美杭 徐音 闫保军 Taylor Yan Wenqi Yan 严雄波 Yupeng Yan 杨长根 杨成峰 Huan Yang 杨洁 杨雷 杨晓宇 Yifan Yang 姚海峰 叶佳璇 叶梅 叶子平 Frédéric Yermia Na Yin 尤郑昀 俞伯祥 余炽业 喻纯旭 余泓钊 于淼 于向辉 于泽源 于泽众 袁岑溪 袁成卓 袁影 袁振雄 岳保彪 Noman Zafar Vitalii Zavadskyi 曾珊 曾婷轩 曾裕达 占亮 张爱强 张斌 张斌婷 张飞洋 Guoqing Zhang 张宏浩 张家梁 张家文 张杰 Jin Zhang 张景波 张金楠 Mohan Zhang 张鹏 张清民 张石其 张澍 张涛 张晓梅 张鑫 张玄同 Xueyao Zhang 张银鸿 张易于 张永鹏 张宇 张圆圆 张玉美 张振宇 张志坚 Fengyi Zhao 赵洁 赵荣 赵润泽 赵书俊 Dongqin Zheng 郑华 郑阳恒 Weirong Zhong 周静 周莉 周楠 周顺 周彤 周详 朱江 朱景森 朱康甫 朱科军 朱志航 庄博 庄红林 宗亮 邹佳恒 | 2022 | Chinese Physics C2022，46，12： | 0 |
| 17 | Physical investigation on the behaviours of voussoir beams显示文摘It is important to understand the behaviour of voussoir beams in the design of underground excavations.There are a large number of discrepancies between the re sults obtained by differe nt researchers so far.To resolve these discrepancies,physically testing the stress distribution at the mid span and abutment of voussoir beam is the key.In this paper,a simple two-block voussoir beam was built with loading system.The displacement and strain of the voussoir beam were measured by a digital image correlation system.The strain distribution along the joints of voussoir beams was firstly revealed.Then,the relationship between transverse load and midspan displacement of voussoir beam was presented.It is found that the stress distributions at the midspan and abutment are different both in shape and depth.The stress distribution is changing as the loading changes as well. | Chaoshi Hu Derek Apel Les Jozef Sudak Wei Victor Liu Zhaoyuan Chu | 2020 | Journal of Rock Mechanics and Geotechnical Engineering2020，12，3： | 0 |
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