Search

Your search keyword '"He, Q"' showing total 345 results
Start Over Author "He, Q" Publisher elsevier b.v.
345 results on '"He, Q"'

16. The detector system of the Daya Bay reactor neutrino experiment

Author

An, F.P., Bai, J.Z., Balantekin, A.B., Band, H.R., Beavis, D., Beriguete, W., Bishai, M., Blyth, S., Brown, R.L., Butorov, I., Cao, D., Cao, G.F., Cao, J., Carr, R., Cen, W.R., Chan, W.T., Chan, Y.L., Chang, J.F., Chang, L.C., Chang, Y., Chasman, C., Chen, H.Y., Chen, H.S., Chen, M.J., Chen, Q.Y., Chen, S.J., Chen, S.M., Chen, X.C., Chen, X.H., Chen, X.S., Chen, Y.X., Chen, Y., Cheng, J.H., Cheng, J., Cheng, Y.P., Cherwinka, J.J., Chidzik, S., Chow, K., Chu, M.C., Cummings, J.P., de Arcos, J., Deng, Z.Y., Ding, X.F., Ding, Y.Y., Diwan, M.V., Dong, L., Dove, J., Draeger, E., Du, X.F., Dwyer, D.A., Edwards, W.R., Ely, S.R., Fang, S.D., Fu, J.Y., Fu, Z.W., Ge, L.Q., Ghazikhanian, V., Gill, R., Goett, J., Gonchar, M., Gong, G.H., Gong, H., Gornushkin, Y.A., Grassi, M., Greenler, L.S., Gu, W.Q., Guan, M.Y., Guo, R.P., Guo, X.H., Hackenburg, R.W., Hahn, R.L., Han, R., Hans, S., He, M., He, Q., He, W.S., Heeger, K.M., Heng, Y.K., Higuera, A., Hinrichs, P., Ho, T.H., Hoff, M., Hor, Y.K., Hsiung, Y.B., Hu, B.Z., Hu, L.M., Hu, L.J., Hu, T., Hu, W., Huang, E.C., Huang, H.Z., Huang, H.X., Huang, P.W., Huang, X., Huang, X.T., Huber, P., Hussain, G., Isvan, Z., Jaffe, D.E., Jaffke, P., Jen, K.L., Jetter, S., Ji, X.P., Ji, X.L., Jiang, H.J., Jiang, W.Q., Jiao, J.B., Johnson, R.A., Joseph, J., Kang, L., Kettell, S.H., Kohn, S., Kramer, M., Kwan, K.K., Kwok, M.W., Kwok, T., Lai, C.Y., Lai, W.C., Lai, W.H., Langford, T.J., Lau, K., Lebanowski, L., Lee, J., Lee, M.K.P., Lei, R.T., Leitner, R., Leung, J.K.C., Lewis, C.A., Li, B., Li, C., Li, D.J., Li, F., Li, G.S., Li, J., Li, N.Y., Li, Q.J., Li, S.F., Li, S.C., Li, W.D., Li, X.B., Li, X.N., Li, X.Q., Li, Y., Li, Y.F., Li, Z.B., Liang, H., Liang, J., Lin, C.J., Lin, G.L., Lin, P.Y., Lin, S.X., Lin, S.K., Lin, Y.C., Ling, J.J., Link, J.M., Littenberg, L., Littlejohn, B.R., Liu, B.J., Liu, C., Liu, D.W., Liu, H., Liu, J.L., Liu, J.C., Liu, S., Liu, S.S., Liu, X., Liu, Y.B., Lu, C., Lu, H.Q., Lu, J.S., Luk, A., Luk, K.B., Luo, T., Luo, X.L., Ma, L.H., Ma, Q.M., Ma, X.Y., Ma, X.B., Ma, Y.Q., Mayes, B., McDonald, K.T., McFarlane, M.C., McKeown, R.D., Meng, Y., Mitchell, I., Mohapatra, D., Monari Kebwaro, J., Morgan, J.E., Nakajima, Y., Napolitano, J., Naumov, D., Naumova, E., Newsom, C., Ngai, H.Y., Ngai, W.K., Nie, Y.B., Ning, Z., Ochoa-Ricoux, J.P., Olshevskiy, A., Pagac, A., Pan, H.-R., Patton, S., Pearson, C., Pec, V., Peng, J.C., Piilonen, L.E., Pinsky, L., Pun, C.S.J., Qi, F.Z., Qi, M., Qian, X., Raper, N., Ren, B., Ren, J., Rosero, R., Roskovec, B., Ruan, X.C., Sands, W.R., III, Seilhan, B., Shao, B.B., Shih, K., Song, W.Y., Steiner, H., Stoler, P., Stuart, M., Sun, G.X., Sun, J.L., Tagg, N., Tam, Y.H., Tanaka, H.K., Tang, W., Tang, X., Taychenachev, D., Themann, H., Torun, Y., Trentalange, S., Tsai, O., Tsang, K.V., Tsang, R.H.M., Tull, C.E., Tung, Y.C., Viaux, N., Viren, B., Virostek, S., Vorobel, V., Wang, C.H., Wang, L.S., Wang, L.Y., Wang, L.Z., Wang, M., Wang, N.Y., Wang, R.G., Wang, T., Wang, W., Wang, W.W., Wang, X.T., Wang, X., Wang, Y.F., Wang, Z., Wang, Z.M., Webber, D.M., Wei, H.Y., Wei, Y.D., Wen, L.J., Wenman, D.L., Whisnant, K., White, C.G., Whitehead, L., Whitten, C.A., Jr., Wilhelmi, J., Wise, T., Wong, H.C., Wong, H.L.H., Wong, J., Wong, S.C.F., Worcester, E., Wu, F.F., Wu, Q., Xia, D.M., Xia, J.K., Xiang, S.T., Xiao, Q., Xing, Z.Z., Xu, G., Xu, J.Y., Xu, J.L., Xu, J., Xu, W., Xu, Y., Xue, T., Yan, J., Yang, C.G., Yang, L., Yang, M.S., Yang, M.T., Ye, M., Yeh, M., Yeh, Y.S., Yip, K., Young, B.L., Yu, G.Y., Yu, Z.Y., Zeng, S., Zhan, L., Zhang, C., Zhang, F.H., Zhang, H.H., Zhang, J.W., Zhang, K., Zhang, Q.X., Zhang, Q.M., Zhang, S.H., Zhang, X.T., Zhang, Y.C., Zhang, Y.H., Zhang, Y.M., Zhang, Y.X., Zhang, Z.J., Zhang, Z.Y., Zhang, Z.P., Zhao, J., Zhao, Q.W., Zhao, Y.F., Zhao, Y.B., Zheng, L., Zhong, W.L., Zhou, L., Zhou, N., Zhou, Z.Y., Zhuang, H.L., Zimmerman, S., and Zou, J.H.

Published
2016
Full Text
View/download PDF

18. The muon system of the Daya Bay Reactor antineutrino experiment

Author

An, F.P., Balantekin, A.B., Band, H.R., Beriguete, W., Bishai, M., Blyth, S., Brown, R.E., Butorov, I., Cao, G.F., Cao, J., Carr, R., Chan, Y.L., Chang, J.F., Chang, L., Chang, Y., Chasman, C., Chen, H.S., Chen, H.Y., Chen, Q.Y., Chen, S.J., Chen, S.M., Chen, X.C., Chen, X.H., Chen, Y., Chen, Y.X., Cheng, Y.P., Cherwinka, J.J., Chu, M.C., Cummings, J.P., Dale, E., de Arcos, J., Deng, Z.Y., Ding, Y.Y., Diwan, M.V., Draeger, E., Du, X.F., Dwyer, D.A., Edwards, W.R., Ely, S.R., Fu, J.Y., Ge, L.Q., Gill, R., Goett, J., Gonchar, M., Gong, G.H., Gong, H., Gu, W.Q., Guan, M.Y., Guo, X.H., Hackenburg, R.W., Han, G.H., Hans, S., He, M., He, Q., Heeger, K.M., Heng, Y.K., Hinrichs, P., Hor, Y.K., Hsiung, Y.B., Hu, B.Z., Hu, L.J., Hu, L.M., Hu, T., Hu, W., Huang, E.C., Huang, H.X., Huang, H.Z., Huang, X.T., Huber, P., Hussain, G., Isvan, Z., Jaffe, D.E., Jaffke, P., Jetter, S., Ji, X.L., Ji, X.P., Jiang, H.J., Jiao, J.B., Johnson, R.A., Kang, L., Kebwaro, J.M., Kettell, S.H., Kramer, M., Kwan, K.K., Kwok, M.W., Kwok, T., Lai, W.C., Lai, W.H., Lau, K., Lebanowski, L., Lee, J., Lei, R.T., Leitner, R., Leung, A., Leung, J.K.C., Lewis, C.A., Li, D.J., Li, F., Li, G.S., Li, Q.J., Li, W.D., Li, X.N., Li, X.Q., Li, Y.Z.B., Liang, H., Lin, C.J., Lin, G.L., Lin, P.Y., Lin, S.K., Link, J.M., Littenberg, L., Littlejohn, B.R., Liu, D.W., Liu, H., Liu, J.C., Liu, J.L., Liu, S.S., Liu, Y.B., Lu, C., Lu, H.Q., Luk, K.B., Ma, Q.M., Ma, X.B., Ma, X.Y., Ma, Y.Q., McDonald, K.T., McFarlane, M.C., McKeown, R.D., Meng, Y., Mitchell, I., Mohapatra, D., Morgan, J.E., Nakajima, Y., Napolitano, J., Naumov, D., Naumova, E., Nemchenok, I., Newsom, C., Ngai, H.Y., Ngai, W.K., Ning, Z., Ochoa-Ricoux, J.P., Olshevski, A., Patton, S., Pec, V., Pearson, C.E., Peng, J.C., Piilonen, L.E., Pinsky, L., Pun, C.S.J., Qi, F.Z., Qi, M., Qian, X., Raper, N., Ren, B., Ren, J., Rosero, R., Roskovec, B., Ruan, X.C., Shao, B.B., Steiner, H., Sun, G.X., Sun, J.L., Tam, Y.H., Tang, X., Themann, H., Tsang, K.V., Tsang, R.H.M., Tull, C.E., Tung, Y.C., Viren, B., Virostek, S., Vorobel, V., Wang, C.H., Wang, L.S., Wang, L.Y., Wang, L.Z., Wang, M., Wang, N.Y., Wang, R.G., Wang, W., Wang, W.W., Wang, X., Wang, Y.F., Wang, Z., Wang, Z.M., Webber, D.M., Wei, H.Y., Wei, Y.D., Wen, L.J., Whisnant, K., White, C.G., Whitehead, L., Wilhelmi, J., Wise, T., Wong, H.L.H., Wong, S.C.F., Worcester, E., Wu, Q., Xia, D.M., Xia, J.K., Xia, X., Xing, Z.Z., Xu, G.H., Xu, J., Xu, J.L., Xu, J.Y., Xu, Y., Xue, T., Yan, J., Yang, C.G., Yang, L., Yang, M.S., Yang, M.T., Ye, M., Yeh, M., Yeh, Y.S., Young, B.L., Yu, G.Y., Yu, J.Y., Yu, Z.Y., Zang, S.L., Zhan, L., Zhang, C., Zhang, F.H., Zhang, J.W., Zhang, K., Zhang, Q.M., Zhang, S.H., Zhang, Y.H., Zhang, Y.M., Zhang, Y.X., Zhang, Z.J., Zhang, Z.P., Zhang, Z.Y., Zhao, J., Zhao, Q.W., Zhao, Y., Zhao, Y.B., Zheng, L., Zhong, W.L., Zhou, L., Zhou, Z.Y., Zhuang, H.L., and Zou, J.H.

Published
2015
Full Text
View/download PDF

20. Individualized CTV Delineation Method for Nasopharyngeal Carcinoma Based on Safe Distance Expansion from Primary Tumor: A Preliminary Efficacy Report from a Prospective Observational Study.

Author

Wu, Z., He, Q., Li, Y., Xiao, J., Wang, S.B., Luo, X., Wang, H., and Han, Y.Q.

Subjects
*INDUCTION chemotherapy, *ADJUVANT chemotherapy, *WATERSHEDS, *SKULL base, NASOPHARYNX tumors
Abstract

The nasopharyngeal carcinoma (NPC) target delineation guidelines recommend that traditional high-risk structures, such as parapharyngeal space and skull base foramina on both sides, should be included in clinical target volume (CTV) and require prophylactic radiation. This study aimed to evaluate the efficacy and feasibility of our individualized CTV delineation strategy based on safe distance expansion from primary tumor. Data on 126 newly diagnosed, biopsy-proven, non-metastatic NPC patients treated at the Hunan Cancer Hospital using intensity modulated radiation therapy (IMRT) between Jan 2021 and Dec 2022 were analyzed. The gross tumor volume (GTVnx/nd) included the primary tumor in the nasopharynx (GTVnx) and the involved cervical lymph nodes (GTVnd) according to clinical and imaging findings; the high-risk clinical target volume (CTVnx-1) was defined as the GTVnx plus a margin of 5-10 mm, the CTVnd-1 was defined as the GTVnd plus a margin of 5 mm; The low-risk clinical target volume (CTV2) was defined by adding a margin of 5 mm to CTVnx/nd-1 and the lymphatic drainage area which need to be prophylactically irradiated. The CTVs would be modified based on anatomic barrier after expansion, and the traditional high-risk structures outside of CTVs is no longer included in CTV after safety distance expansion. The prescribed dose was 6996 cGy to the PGTVnx/nd, 6006 cGy to the PCTVnx/nd-1, and 5445 cGy to PCTV2 in 33 fractions. Follow-up was updated in Jan 2024, with the median follow-up time of 25 months (range = 12-38 months). The median age was 52 years (range = 19-83 years). The proportions of patients grouped as T3-4 and N2-3 were both 68.3% (77/126), and 85.7% (108/126) patients had stage III-IVa disease. The most frequently used treatment modalities were induction chemotherapy (IC) plus concurrent chemoradiotherapy (CCRT) and IC plus CCRT with adjuvant chemotherapy (77.8%, 99/126). 3 patients had local recurrence, 4 had lymph node recurrence, 14 patients developed distant metastasis, and 1 patient died. All the relapses occurred within high dose area and considered as in-field failures. No recurrences were observed in the shrunk radiation areas. The 2-year local relapse-free survival, nodal relapse-free survival, distant metastasis-free survival, and overall survival were 97.4%, 97.2%, 89.7% and 98.7%, respectively. Individualized CTV delineation based on safe distance expansion from primary tumor in NPC could yield excellent local control, which is worthy of further exploration. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

25. Microbiome-scale analysis of aerosol facemask contamination during nebulization therapy in hospital.

Author

Swanson, C.S., Dhand, R., Cao, L., Ferris, J., Elder, C.S., and He, Q.

Abstract

Microbial contamination of aerosol facemasks could be a source of nosocomial infections during nebulization therapy in hospital, prompting efforts to identify these contaminants. Identification of micro-organisms in medical devices has traditionally relied on culture-dependent methods, which are incapable of detecting the majority of these microbial contaminants. This challenge could be overcome with culture-independent sequencing-based techniques that are suited for the profiling of complex microbiomes. To characterize the microbial contaminants in aerosol facemasks used for nebulization therapy, and identify factors influencing the composition of these microbial contaminants with the acquisition and analysis of comprehensive microbiome-scale profiles using culture-independent high-throughput sequencing. Used aerosol facemasks collected from hospitalized patients were analysed with culture-independent 16S rRNA gene-based amplicon sequencing to acquire microbiome-scale comprehensive profiles of the microbial contaminants. Microbiome-based analysis was performed to identify potential sources of microbial contamination in facemasks. Culture-independent high-throughput sequencing was demonstrated for the capacity to acquire microbiome-scale profiles of microbial contaminants on aerosol facemasks. Microbial source identification enabled by the microbiome-scale profiles linked microbial contamination on aerosol facemasks to the human skin and oral microbiota. Antibiotic treatment with levofloxacin was found to reduce contamination of the facemasks by oral microbiota. Sequencing-based microbiome-scale analysis is capable of providing comprehensive characterization of microbial contamination in aerosol facemasks. Insight gained from microbiome-scale analysis facilitates the development of effective strategies for the prevention and mitigation of the risk of nosocomial infections arising from exposure to microbial contamination of aerosol facemasks, such as targeted elimination of potential sources of contamination. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

46. Three-dimensional strain and stress orthogonal decompositions via an elastic energy preserving transformation.

Author

He, Q.-C.

Subjects
*ORTHOGONAL decompositions, *STRAINS & stresses (Mechanics), *BRITTLE material fracture, *STRAIN tensors, *PROPER orthogonal decomposition, *PYTHAGOREAN theorem
Abstract

Motivated by the recent development of phase field methods for modeling and simulating the fracture of brittle and quasi-brittle materials, a general approach is proposed to decompose the infinitesimal strain tensor (or Cauchy stress tensor) into a positive part and a negative part which are orthogonal in the sense of an inner product where the elastic stiffness (or compliance) tensor acts as a metric. This approach is based on a strain (or stress) transformation preserving the elastic energy, and gives rise to a generalized Pythagorean theorem. It is valid not only for the isotropic elastic case but also for all the anisotropic ones. Decompositions of the strain (or stress) tensor are given in a coordinate-free way. The main results obtained are illustrated and detailed for the elastic isotropic case in an analytical explicit manner. • Coordinate-free decomposition of the strain tensor into positive and negative parts. • The elastic tensor acting as a metric for defining the orthogonality. • The strain orthogonal decomposition valid for all elastic symmetry classes. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

47. Microbiome-based source identification of microbial contamination in nebulizers used by inpatients.

Author

Swanson, C.S., Dhand, R., Cao, L., Ferris, J., Elder, C.S., and He, Q.

Abstract

Nebulizers are essential for the delivery of aerosolized medication for respiratory patients in hospital. Microbial contamination of nebulizers increases the risk of healthcare-associated infections, presenting the critical need to identify sources of contamination in order to develop effective infection prevention and control practices in hospitals. Using an innovative microbiome-based cultivation-independent microbial source identification technique, the hospital indoor environment was identified as a significant source contributing to microbial contaminants in nebulizers, providing important information to develop strategies for targeted decontamination and enhance the effectiveness of infection prevention and control practices. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

48. Optimal and near-optimal inventory control policies for a make-to-order inventory-production system

Author

He, Q.-M., Jewkes, E.M., and Buzacott, J.

Subjects
Inventory control -- Methods, Business enterprises -- Production management, Business, Business, general, Business, international
Abstract

Optimal inventory management policies, to minimize average total cost per product in a make-to-order inventory-production system comprising of a production workshop and a warehouse, are discussed.

Published
2002

49. Non-strange dibaryons studied in the γd → π0π0d reaction

Author

Ishikawa, T., Fujimura, H., Fukasawa, H., Hashimoto, R., He, Q., Honda, Y., Iwata, T., Kaida, S., Kanda, H., Kasagi, J., Kawano, A., Kuwasaki, S., Maeda, K., Masumoto, S., Miyabe, M., Miyahara, F., Mochizuki, K., Muramatsu, N., Nakamura, A., Nawa, K., Ogushi, S., Okada, Y., Okamura, K., Onodera, Y., Ozawa, K., Sakamoto, Y., Sato, M., Shimizu, H., Sugai, H., Suzuki, K., Tajima, Y., Takahashi, S., Taniguchi, Y., Tsuchikawa, Y., Yamazaki, H., Yamazaki, R., and Yoshida, H.Y.

Published
2019
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results