Automating Carotid Intima-Media Thickness Video Interpretation with Convolutional Neural Networks

Cardiovascular disease (CVD) is the leading cause of mortality yet largely preventable, but the key to prevention is to identify at-risk individuals before adverse events. For predicting individual CVD risk, carotid intima-media thickness (CIMT), a noninvasive ultrasound method, has proven to be valuable, offering several advantages over CT coronary artery calcium score. However, each CIMT examination includes several ultrasound videos, and interpreting each of these CIMT videos involves three operations: (1) select three end-diastolic ultrasound frames (EUF) in the video, (2) localize a region of interest (ROI) in each selected frame, and (3) trace the lumen-intima interface and the media-adventitia interface in each ROI to measure CIMT. These operations are tedious, laborious, and time consuming, a serious limitation that hinders the widespread utilization of CIMT in clinical practice. To overcome this limitation, this paper presents a new system to automate CIMT video interpretation. Our extensive experiments demonstrate that the suggested system significantly outperforms the state-of-the-art methods. The superior performance is attributable to our unified framework based on convolutional neural networks (CNNs) coupled with our informative image representation and effective post-processing of the CNN outputs, which are uniquely designed for each of the above three operations.Comment: J. Y. Shin, N. Tajbakhsh, R. T. Hurst, C. B. Kendall, and J. Liang. Automating carotid intima-media thickness video interpretation with convolutional neural networks. CVPR 2016, pp 2526-2535; N. Tajbakhsh, J. Y. Shin, R. T. Hurst, C. B. Kendall, and J. Liang. Automatic interpretation of CIMT videos using convolutional neural networks. Deep Learning for Medical Image Analysis, Academic Press, 201

On the interpretation of the spectral--energy correlations in long Gamma--Ray Bursts

Recently, Liang & Zhang (2005) found a tight correlation involving only observable quantities, namely the isotropic emitted energy $E_{\gamma,iso}$, the energy of the peak of the prompt spectrum $E^\prime_{p}$, and the jet break time $t^\prime_{j}$. This phenomenological correlation can have a first explanation in the framework of jetted fireballs, whose semiaperture angle $\theta_{j}$ is measured by the jet break time $t^\prime_{j}$. By correcting $E_{\gamma, iso}$ for the angle $\theta_{j}$ one obtains the so called Ghirlanda correlation linking the collimation corrected energy $E_\gamma$ and $E^\prime_{p}$. There are two ways to derive $\theta_{j}$ from $t^\prime_{j}$ in the standard scenario, corresponding to an homogeneous or to a wind-like circumburst medium. We show that the Ghirlanda correlation with a wind-like medium is as tight as (if not tighter) than the Ghirlanda correlation found in the case of an homogeneous medium. There are hence two Ghirlanda correlations, both entirely consistent with the phenomenological Liang & Zhang relation. We consider the difference between the observed correlations and the ones one would see in the comoving frame (i.e. moving with the same bulk Lorentz factor of the fireball). Since both $E_{p}$ and $E_\gamma$ transform in the same way, the wind-like Ghirlanda relation, which is linear, remains linear also in the comoving frame, no matter the distribution of bulk Lorentz factors. Instead, in the homogeneous density case, one is forced to assume the existence of a strict relation between the bulk Lorentz factor and the total energy, which in turn put constraints on the radiation mechanisms of the prompt emission. The wind-like Ghirlanda correlation, being linear, corresponds to different bursts having the same number of photons.Comment: 12 pages, 8 figures, 2 tables. Accepted for publication in Astronomy & Astrophysic

Miscellanea. Folyóirat-referátumok. Könyvismertetés. OH-Kvíz

Az intestinalis zsírsavkötő fehérje (I-FABP) ígéretes teszt Crohnbetegségben: bevezető tanulmány [Intestinal fatty acid binding protein (I-FABP) as a promising test for Crohn’s disease: a preliminary study] Sarikaya, M., Ergül, B., Doğan, Z., et al. (Ankara Education and Research Hospital, Gastroenterology, Ankara, Törökország): Clin. Lab., 2015, 61(1–2), 87–91. | A rivaroxaban hatékonysága és biztonságossága pitvarfibrilláló betegek körében (Efficacy and safety of rivaroxaban in real-life patients with atrial fibrillation) Barón-Esquivias, G., Fernández-Avilés, F., Atienza, F., et al. (Coordinator de Área. Servicio de Cardiologia Hospital Universitario Virgen del Rocio, Univesidad de Sevilla, Sevilla, Spanyolország): Expert Rev. Cardiovasc. Ther., 2015, 13(4), 341–353. | A plazma-mi-RNS-ek ígéretes biomarkerek lehetnek krónikus obstruktív tüdőbetegségben (Plasma miRNAs might be promising biomarkers of chronic obstructive pulmonary disease) Wang, M., Huang, Y., Liang, Z., et al. ([Z. Liang] Department of Respiratory Disease, West China Hospital, Sichuan University, 610041 Chengdu, Kína; e-mail: [email protected]): Clin. Respir. J., 2016, 10(1), 104–111. | Időtakarékos testzsírcsökkentés 4 nap alatt edzéssel és étkezésmegszorítással (A timeefficient reduction of fat mass in 4 days with exercise and caloric restriction) Calbet, J. A., L. PonceGonzález, J. G., Pérez-Suárez, I., et al. (Department of Physical Education, University of Las Palmas de Grand Canaria, Las Palmas de Grand Canaria, Canary Islands, Spanyolország; e-mail: lopezcalbet@ gmail.com): Scand. J. Med. Sci. Sports, 2015, 25(2), 223–233. | Vincze János (szerk.): Emlékezünk orvosainkra 29. Orvos-akadémikusok I. 1827–1944. NDP Kiadó, Budapest, 2016 352 olda

Some molecule-based materials low dimension nanostructures

Molecule based materials nanoarchitectures have been employed as important nanoscale building blocks for advanced materials and smart miniature devices to fulfill the increasing needs of high materials usage efficiency. Different dimension molecule based materials based nanoarchitectures, especially low dimension nanostructures, attract significant attention due to its fascinating controlled structure and functionality-easy tailoring with excellent semi-conductive properties and stability. In this report, we discuss the some molecule based materials self-assembled oriented functional nanoarchitectures by coordinated inducing. The molecular material building blocks, aggregate structures and their properties in optical, electrical and photoelectrical properties were shown. REFERENCES [1] Guo, Y.B.; Xu, L.; Liu, H. B.; Li, Y. J.; Che, C.-M.; Li, Y. L. Adv. Mater. 2015, 27, 985. [2] Li, Y. J.; Liu, T. F.; Liu, H. B.; Tian, M.-Z.; Li, Y. L. Acc. Chem. Res., 2014, 47,1186. [3] Li, Y. J.; Liang Xu, Liu, H. B.; Li, Y. L. Chem. Soc. Rev. 2014, 43, 2572. [4] Liu, H. B.; Xu, J. L.; Li, Y. J.; Li, Y. L. Acc. Chem. Res. 2010, 43, 1496. [5] Zheng, H. Y.; Li, Y. J.; Liu, H. B.; Yin, X. D.; Li, Y. L. Chem. Soc. Rev. 2011, 40, 4506

Pressure of Coulomb systems with volume-dependent long-range potentials

In this work, we consider the pressure of Coulomb systems, in which particles interact via a volume-dependent potential (in particular, the Ewald potential). We confirm that the expression for virial pressure should be corrected in this case. We show that the corrected virial pressure coincides with the formula obtained by differentiation of free energy if the potential energy is a homogeneous function of particle coordinates and a cell length. As a consequence, we find out that the expression for pressure in the recent paper by J. Liang \textit{et al.} [\href{https://doi.org/10.1063/5.0107140}{J. Chem. Phys. \textbf{157}, 144102 (2022)}] is incorrect

Free Surface Turbulent Flow in an Unbaffled Stirred Tank: Detached Eddy Simulation and VOF Study

Numerical simulations based on the RANS model are known to have drawbacks of low accuracy in predicting the turbulence quantities of the flow fields in stirred tanks. For this purpose, the detached eddy simulation (DES) model was employed to simulate the turbulent flow in an unbaffled dish-bottom stirred tank. The free-surface deformation was modelled by the volume of fluid (VOF) method. The numerical predictions were validated with LDV measurements reported by Haque et al. (Haque, J. N., Mahmud, T., Roberts, K. J., Liang, J. K., White, G., Wilkinson, D., Rhodes, D., Can. J. Chem. Eng. 89 (2011) 745)11. The results show that the predicted surface profiles using the combination of DES and VOF are generally better than their counterparts obtained by the k-ε model. The mean velocity components and turbulent kinetic energy are in good agreement with the experimental results. By comparison, the differences between the k-ε predictions and the LDV data are much greater. These findings indicate that DES works better than k-ε model in the prediction of the free-surface hydrodynamics in stirred tanks

Journal of the National Collegiate Honors Council, Volume 14, Number 2, Fall/Winter 2013 (complete issue)

Forum on Admissions and Retention in Honors Forum Articles Jerry Herron Sean K. Kelly Michael K. Cundall, Jr. Scott Carnicom Annmarie Guzy Jeffrey A. Portnoy Research Essays Patricia Joanne Smith and John Thomas Vitus Zagurski Robert R. Keller and Michael G. Lacy Lynne Goodstein and Patricia Szarek Timothy J. Nichols and Kuo-Liang “Matt” Chang Emily Star

Search for a light CP -odd Higgs boson in radiative decays of J /ψ

none406siWe search for a light Higgs boson A0 in the fully reconstructed decay chain of J/ψ→γA0, A0→μ+μ- using (225.0±2.8)×106 J/ψ events collected by the BESIII experiment. The A0 is a hypothetical CP-odd light Higgs boson predicted by many extensions of the Standard Model including two spin-0 doublets plus an extra singlet. We find no evidence for A0 production and set 90% confidence-level upper limits on the product branching fraction B(J/ψ→γA0)×B(A0→μ+μ-) in the range of (2.8-495.3)×10-8 for 0.212≤mA0≤3.0 GeV/c2. The new limits are five times below our previous results, and the nature of the A0 is constrained to be mostly singlet.noneAblikim, M.; Achasov, M.N.; Ai, X.C.; Albayrak, O.; Albrecht, M.; Ambrose, D.J.; Amoroso, A.; An, F.F.; An, Q.; Bai, J.Z.; Baldini Ferroli, R.; Ban, Y.; Bennett, D.W.; Bennett, J.V.; Bertani, M.; Bettoni, D.; Bian, J.M.; Bianchi, F.; Boger, E.; Boyko, I.; Briere, R.A.; Cai, H.; Cai, X.; Cakir, O.; Calcaterra, A.; Cao, G.F.; Cetin, S.A.; Chang, J.F.; Chelkov, G.; Chen, G.; Chen, H.S.; Chen, H.Y.; Chen, J.C.; Chen, M.L.; Chen, S.J.; Chen, X.; Chen, X.R.; Chen, Y.B.; Cheng, H.P.; Chu, X.K.; Cibinetto, G.; Dai, H.L.; Dai, J.P.; Dbeyssi, A.; Dedovich, D.; Deng, Z.Y.; Denig, A.; Denysenko, I.; Destefanis, M.; De Mori, F.; Ding, Y.; Dong, C.; Dong, J.; Dong, L.Y.; Dong, M.Y.; Dou, Z.L.; Du, S.X.; Duan, P.F.; Fan, J.Z.; Fang, J.; Fang, S.S.; Fang, X.; Fang, Y.; Fava, L.; Feldbauer, F.; Felici, G.; Feng, C.Q.; Fioravanti, E.; Fritsch, M.; Fu, C.D.; Gao, Q.; Gao, X.L.; Gao, X.Y.; Gao, Y.; Gao, Z.; Garzia, I.; Goetzen, K.; Gong, W.X.; Gradl, W.; Greco, M.; Gu, M.H.; Gu, Y.T.; Guan, Y.H.; Guo, A.Q.; Guo, L.B.; Guo, Y.; Guo, Y.P.; Haddadi, Z.; Hafner, A.; Han, S.; Harris, F.A.; He, K.L.; Held, T.; Heng, Y.K.; Hou, Z.L.; Hu, C.; Hu, H.M.; Hu, J.F.; Hu, T.; Hu, Y.; Huang, G.M.; Huang, G.S.; Huang, J.S.; Huang, X.T.; Huang, Y.; Hussain, T.; Ji, Q.; Ji, Q.P.; Ji, X.B.; Ji, X.L.; Jiang, L.W.; Jiang, X.S.; Jiang, X.Y.; Jiao, J.B.; Jiao, Z.; Jin, D.P.; Jin, S.; Johansson, T.; Julin, A.; Kalantar-Nayestanaki, N.; Kang, X.L.; Kang, X.S.; Kavatsyuk, M.; Ke, B.C.; Kiese, P.; Kliemt, R.; Kloss, B.; Kolcu, O.B.; Kopf, B.; Kornicer, M.; Kühn, W.; Kupsc, A.; Lange, J.S.; Lara, M.; Larin, P.; Leng, C.; Li, C.; Li, Cheng; Li, D.M.; Li, F.; Li, F.Y.; Li, G.; Li, H.B.; Li, J.C.; Li, Jin; Li, K.; Li, K.; Li, Lei; Li, P.R.; Li, T.; Li, W.D.; Li, W.G.; Li, X.L.; Li, X.M.; Li, X.N.; Li, X.Q.; Li, Z.B.; Liang, H.; Liang, Y.F.; Liang, Y.T.; Liao, G.R.; Lin, D.X.; Liu, B.J.; Liu, C.X.; Liu, D.; Liu, F.H.; Liu, Fang; Liu, Feng; Liu, H.B.; Liu, H.H.; Liu, H.H.; Liu, H.M.; Liu, J.; Liu, J.B.; Liu, J.P.; Liu, J.Y.; Liu, K.; Liu, K.Y.; Liu, L.D.; Liu, P.L.; Liu, Q.; Liu, S.B.; Liu, X.; Liu, Y.B.; Liu, Z.A.; Liu, Zhiqing; Loehner, H.; Lou, X.C.; Lu, H.J.; Lu, J.G.; Lu, Y.; Lu, Y.P.; Luo, C.L.; Luo, M.X.; Luo, T.; Luo, X.L.; Lyu, X.R.; Ma, F.C.; Ma, H.L.; Ma, L.L.; Ma, Q.M.; Ma, T.; Ma, X.N.; Ma, X.Y.; Maas, F.E.; Maggiora, M.; Mao, Y.J.; Mao, Z.P.; Marcello, S.; Messchendorp, J.G.; Min, J.; Mitchell, R.E.; Mo, X.H.; Mo, Y.J.; Morales Morales, C.; Muchnoi, N. Yu.; Muramatsu, H.; Nefedov, Y.; Nerling, F.; Nikolaev, I.B.; Ning, Z.; Nisar, S.; Niu, S.L.; Niu, X.Y.; Olsen, S.L.; Ouyang, Q.; Pacetti, S.; Pan, Y.; Patteri, P.; Pelizaeus, M.; Peng, H.P.; Peters, K.; Pettersson, J.; Ping, J.L.; Ping, R.G.; Poling, R.; Prasad, V.; Qi, M.; Qian, S.; Qiao, C.F.; Qin, L.Q.; Qin, N.; Qin, X.S.; Qin, Z.H.; Qiu, J.F.; Rashid, K.H.; Redmer, C.F.; Ripka, M.; Rong, G.; Rosner, Ch.; Ruan, X.D.; Santoro, V.; Sarantsev, A.; Savrié, M.; Schoenning, K.; Schumann, S.; Shan, W.; Shao, M.; Shen, C.P.; Shen, P.X.; Shen, X.Y.; Sheng, H.Y.; Song, W.M.; Song, X.Y.; Sosio, S.; Spataro, S.; Sun, G.X.; Sun, J.F.; Sun, S.S.; Sun, Y.J.; Sun, Y.Z.; Sun, Z.J.; Sun, Z.T.; Tang, C.J.; Tang, X.; Tapan, I.; Thorndike, E.H.; Tiemens, M.; Ullrich, M.; Uman, I.; Varner, G.S.; Wang, B.; Wang, B.L.; Wang, D.; Wang, D.Y.; Wang, K.; Wang, L.L.; Wang, L.S.; Wang, M.; Wang, P.; Wang, P.L.; Wang, S.G.; Wang, W.; Wang, W.P.; Wang, X.F.; Wang, Y.D.; Wang, Y.F.; Wang, Y.Q.; Wang, Z.; Wang, Z.G.; Wang, Z.H.; Wang, Z.Y.; Weber, T.; Wei, D.H.; Wei, J.B.; Weidenkaff, P.; Wen, S.P.; Wiedner, U.; Wolke, M.; Wu, L.H.; Wu, Z.; Xia, L.; Xia, L.G.; Xia, Y.; Xiao, D.; Xiao, H.; Xiao, Z.J.; Xie, Y.G.; Xiu, Q.L.; Xu, G.F.; Xu, L.; Xu, Q.J.; Xu, X.P.; Yan, L.; Yan, W.B.; Yan, W.C.; Yan, Y.H.; Yang, H.J.; Yang, H.X.; Yang, L.; Yang, Y.; Yang, Y.Y.; Ye, M.; Ye, M.H.; Yin, J.H.; Yu, B.X.; Yu, C.X.; Yu, J.S.; Yuan, C.Z.; Yuan, W.L.; Yuan, Y.; Yuncu, A.; Zafar, A.A.; Zallo, A.; Zeng, Y.; Zeng, Z.; Zhang, B.X.; Zhang, B.Y.; Zhang, C.; Zhang, C.C.; Zhang, D.H.; Zhang, H.H.; Zhang, H.Y.; Zhang, J.J.; Zhang, J.L.; Zhang, J.Q.; Zhang, J.W.; Zhang, J.Y.; Zhang, J.Z.; Zhang, K.; Zhang, L.; Zhang, X.Y.; Zhang, Y.; Zhang, Y.H.; Zhang, Y.N.; Zhang, Y.T.; Zhang, Yu; Zhang, Z.H.; Zhang, Z.P.; Zhang, Z.Y.; Zhao, G.; Zhao, J.W.; Zhao, J.Y.; Zhao, J.Z.; Zhao, Lei; Zhao, Ling; Zhao, M.G.; Zhao, Q.; Zhao, Q.W.; Zhao, S.J.; Zhao, T.C.; Zhao, Y.B.; Zhao, Z.G.; Zhemchugov, A.; Zheng, B.; Zheng, J.P.; Zheng, W.J.; Zheng, Y.H.; Zhong, B.; Zhou, L.; Zhou, X.; Zhou, X.K.; Zhou, X.R.; Zhou, X.Y.; Zhu, K.; Zhu, K.J.; Zhu, S.; Zhu, S.H.; Zhu, X.L.; Zhu, Y.C.; Zhu, Y.S.; Zhu, Z.A.; Zhuang, J.; Zotti, L.; Zou, B.S.; Zou, J.H.Ablikim, M.; Achasov, M. N.; Ai, X. C.; Albayrak, O.; Albrecht, M.; Ambrose, D. J.; Amoroso, A.; An, F. F.; An, Q.; Bai, J. Z.; Baldini Ferroli, R.; Ban, Y.; Bennett, D. W.; Bennett, J. V.; Bertani, M.; Bettoni, D.; Bian, J. M.; Bianchi, F.; Boger, E.; Boyko, I.; Briere, R. A.; Cai, H.; Cai, X.; Cakir, O.; Calcaterra, A.; Cao, G. F.; Cetin, S. A.; Chang, J. F.; Chelkov, G.; Chen, G.; Chen, H. S.; Chen, H. Y.; Chen, J. C.; Chen, M. L.; Chen, S. J.; Chen, X.; Chen, X. R.; Chen, Y. B.; Cheng, H. P.; Chu, X. K.; Cibinetto, G.; Dai, H. L.; Dai, J. P.; Dbeyssi, A.; Dedovich, D.; Deng, Z. Y.; Denig, A.; Denysenko, I.; Destefanis, M.; De Mori, F.; Ding, Y.; Dong, C.; Dong, J.; Dong, L. Y.; Dong, M. Y.; Dou, Z. L.; Du, S. X.; Duan, P. F.; Fan, J. Z.; Fang, J.; Fang, S. S.; Fang, X.; Fang, Y.; Fava, L.; Feldbauer, F.; Felici, G.; Feng, C. Q.; Fioravanti, E.; Fritsch, M.; Fu, C. D.; Gao, Q.; Gao, X. L.; Gao, X. Y.; Gao, Y.; Gao, Z.; Garzia, I.; Goetzen, K.; Gong, W. X.; Gradl, W.; Greco, M.; Gu, M. H.; Gu, Y. T.; Guan, Y. H.; Guo, A. Q.; Guo, L. B.; Guo, Y.; Guo, Y. P.; Haddadi, Z.; Hafner, A.; Han, S.; Harris, F. A.; He, K. L.; Held, T.; Heng, Y. K.; Hou, Z. L.; Hu, C.; Hu, H. M.; Hu, J. F.; Hu, T.; Hu, Y.; Huang, G. M.; Huang, G. S.; Huang, J. S.; Huang, X. T.; Huang, Y.; Hussain, T.; Ji, Q.; Ji, Q. P.; Ji, X. B.; Ji, X. L.; Jiang, L. W.; Jiang, X. S.; Jiang, X. Y.; Jiao, J. B.; Jiao, Z.; Jin, D. P.; Jin, S.; Johansson, T.; Julin, A.; Kalantar Nayestanaki, N.; Kang, X. L.; Kang, X. S.; Kavatsyuk, M.; Ke, B. C.; Kiese, P.; Kliemt, R.; Kloss, B.; Kolcu, O. B.; Kopf, B.; Kornicer, M.; Kühn, W.; Kupsc, A.; Lange, J. S.; Lara, M.; Larin, P.; Leng, C.; Li, C.; Li, Cheng; Li, D. M.; Li, F.; Li, F. Y.; Li, G.; Li, H. B.; Li, J. C.; Li, Jin; Li, K.; Li, K.; Li, Lei; Li, P. R.; Li, T.; Li, W. D.; Li, W. G.; Li, X. L.; Li, X. M.; Li, X. N.; Li, X. Q.; Li, Z. B.; Liang, H.; Liang, Y. F.; Liang, Y. T.; Liao, G. R.; Lin, D. X.; Liu, B. J.; Liu, C. X.; Liu, D.; Liu, F. H.; Liu, Fang; Liu, Feng; Liu, H. B.; Liu, H. H.; Liu, H. H.; Liu, H. M.; Liu, J.; Liu, J. B.; Liu, J. P.; Liu, J. Y.; Liu, K.; Liu, K. Y.; Liu, L. D.; Liu, P. L.; Liu, Q.; Liu, S. B.; Liu, X.; Liu, Y. B.; Liu, Z. A.; Liu, Zhiqing; Loehner, H.; Lou, X. C.; Lu, H. J.; Lu, J. G.; Lu, Y.; Lu, Y. P.; Luo, C. L.; Luo, M. X.; Luo, T.; Luo, X. L.; Lyu, X. R.; Ma, F. C.; Ma, H. L.; Ma, L. L.; Ma, Q. M.; Ma, T.; Ma, X. N.; Ma, X. Y.; Maas, F. E.; Maggiora, M.; Mao, Y. J.; Mao, Z. P.; Marcello, S.; Messchendorp, J. G.; Min, J.; Mitchell, R. E.; Mo, X. H.; Mo, Y. J.; Morales Morales, C.; Muchnoi, N. Y. u.; Muramatsu, H.; Nefedov, Y.; Nerling, F.; Nikolaev, I. B.; Ning, Z.; Nisar, S.; Niu, S. L.; Niu, X. Y.; Olsen, S. L.; Ouyang, Q.; Pacetti, S.; Pan, Y.; Patteri, P.; Pelizaeus, M.; Peng, H. P.; Peters, K.; Pettersson, J.; Ping, J. L.; Ping, R. G.; Poling, R.; Prasad, V.; Qi, M.; Qian, S.; Qiao, C. F.; Qin, L. Q.; Qin, N.; Qin, X. S.; Qin, Z. H.; Qiu, J. F.; Rashid, K. H.; Redmer, C. F.; Ripka, M.; Rong, G.; Rosner, C. h.; Ruan, X. D.; Santoro, V.; Sarantsev, A.; Savrie', Mauro; Schoenning, K.; Schumann, S.; Shan, W.; Shao, M.; Shen, C. P.; Shen, P. X.; Shen, X. Y.; Sheng, H. Y.; Song, W. M.; Song, X. Y.; Sosio, S.; Spataro, S.; Sun, G. X.; Sun, J. F.; Sun, S. S.; Sun, Y. J.; Sun, Y. Z.; Sun, Z. J.; Sun, Z. T.; Tang, C. J.; Tang, X.; Tapan, I.; Thorndike, E. H.; Tiemens, M.; Ullrich, M.; Uman, I.; Varner, G. S.; Wang, B.; Wang, B. L.; Wang, D.; Wang, D. Y.; Wang, K.; Wang, L. L.; Wang, L. S.; Wang, M.; Wang, P.; Wang, P. L.; Wang, S. G.; Wang, W.; Wang, W. P.; Wang, X. F.; Wang, Y. D.; Wang, Y. F.; Wang, Y. Q.; Wang, Z.; Wang, Z. G.; Wang, Z. H.; Wang, Z. Y.; Weber, T.; Wei, D. H.; Wei, J. B.; Weidenkaff, P.; Wen, S. P.; Wiedner, U.; Wolke, M.; Wu, L. H.; Wu, Z.; Xia, L.; Xia, L. G.; Xia, Y.; Xiao, D.; Xiao, H.; Xiao, Z. J.; Xie, Y. G.; Xiu, Q. L.; Xu, G. F.; Xu, L.; Xu, Q. J.; Xu, X. P.; Yan, L.; Yan, W. B.; Yan, W. C.; Yan, Y. H.; Yang, H. J.; Yang, H. X.; Yang, L.; Yang, Y.; Yang, Y. Y.; Ye, M.; Ye, M. H.; Yin, J. H.; Yu, B. X.; Yu, C. X.; Yu, J. S.; Yuan, C. Z.; Yuan, W. L.; Yuan, Y.; Yuncu, A.; Zafar, A. A.; Zallo, A.; Zeng, Y.; Zeng, Z.; Zhang, B. X.; Zhang, B. Y.; Zhang, C.; Zhang, C. C.; Zhang, D. H.; Zhang, H. H.; Zhang, H. Y.; Zhang, J. J.; Zhang, J. L.; Zhang, J. Q.; Zhang, J. W.; Zhang, J. Y.; Zhang, J. Z.; Zhang, K.; Zhang, L.; Zhang, X. Y.; Zhang, Y.; Zhang, Y. H.; Zhang, Y. N.; Zhang, Y. T.; Zhang, Yu; Zhang, Z. H.; Zhang, Z. P.; Zhang, Z. Y.; Zhao, G.; Zhao, J. W.; Zhao, J. Y.; Zhao, J. Z.; Zhao, Lei; Zhao, Ling; Zhao, M. G.; Zhao, Q.; Zhao, Q. W.; Zhao, S. J.; Zhao, T. C.; Zhao, Y. B.; Zhao, Z. G.; Zhemchugov, A.; Zheng, B.; Zheng, J. P.; Zheng, W. J.; Zheng, Y. H.; Zhong, B.; Zhou, L.; Zhou, X.; Zhou, X. K.; Zhou, X. R.; Zhou, X. Y.; Zhu, K.; Zhu, K. J.; Zhu, S.; Zhu, S. H.; Zhu, X. L.; Zhu, Y. C.; Zhu, Y. S.; Zhu, Z. A.; Zhuang, J.; Zotti, L.; Zou, B. S.; Zou, J. H