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Tytuł:
1. Steverding D. The history of leishmaniasis. Parasit Vectors. 2017; 10: 82. 2. Norouzinezhad F, Ghaffari F, Norouzinejad A, Kaveh F, Gouya MM. Cutaneous leishmaniasis in Iran: Results from an epidemiological study in urban and rural provinces. Asian Pacific Journal of Tropical Medicine. 2016; 6: 614-619. 3. Torres-Guerrero E, Quintanilla-Cedillo MR, Ruiz-Esmenjaud J, Arenas R. Leishmaniasis: a review. F1000Research. 2017; 6: 750. 4. Salimi M, Saghafipour A, Hamidi Parsa H, Khosravi M, Shirzadi M R. Economic Burden Evaluation of Cutaneous Leishmaniasis in Iran. Shiraz E-Medical Journal. 2019; 20: e82810. 5. Shirzadi MR, Javanbakht M, Jesri N, Saghafipour A. Spatial Distribution of Cutaneous Leishmaniasis Cases Referred to Health Centers of Three Khorasan Provinces in Iran Using Geographical Information System. Iranian Journal of Public Health. 2019; 48: 1885-1892. 6. Salimi M, Jesri N, Javanbakht M, Farahani LZ, Shirzadi MR, Saghafipour A. Spatio-temporal distribution analysis of zoonotic cutaneous leishmaniasis in Qom Province, Iran. Journal of Parasitic Diseases. 2018; 42: 570-6. 7. Vesali Monfared E, Sadeghi R, Sedaghat M M, Saghafipour A, Tol A, Yaseri M. Effect of educational intervention based on social cognitive theory on promoting preventive behaviors of cutaneous leishmaniasis. Koomesh. 2018; 20: 692-8. 8. Saghafipour A, Nejati J, Mozaffari E, Rezaei F, Gharlipour Z, Mirheydari M. The Effectiveness of Education Based on BASNEF Model on Promoting Preventive Behavior of Cutaneous Leishmaniasis among Students. International Journal of Pediatrics. 2017; 5: 5125-36. 9. Rassi Y, Saghafipour A, Abai MR, Oshaghi MA, Rafizadeh S, Mohebali M, et al. Phlebotomus papatasi and Meriones libycus as the vector and reservoir host of cutaneous leishmaniasis in Qomrood District, Qom Province, central Iran. Asian Pacific Journal of Tropical Medicine. 2011; 4: 97-100. 10. Bamorovat M, Sharifi I, Dabiri S, Mohammadi MA, Fasihi Harandi M, Mohebali M, Aflatoonian MR, Keyhani A. Leishmania tropica in Stray Dogs in Southeast Iran. Iranian Journal of Public Health. 2015; 44: 1359-66. 11. Saghafipour A, Vatandoost H, Zahraei-Ramazani AR, Yaghoobi-Ershadi MR, Rassi Y, Shirzadi MR, et al. Spatial Distribution of Phlebotomine Sand Fly Species (Diptera: Psychodidae) in Qom Province, Central Iran. Journal of Medical Entomology. 2017; 54: 35-43. 12. Khademvatan S, Salmanzadeh S, Foroutan-Rad M, Bigdeli S, Hedayati-Rad F, Saki J, Heydari-Gorji E. Spatial distribution and epidemiological features of cutaneous leishmaniasis in southwest of Iran. Alexandria Journal of Medicine. 2017; 53: 93-8. 13. Entezari M, Eskandari F. Relationship between Climatic Factors and the Prevalence of Cutaneous Leishmaniasis in Larestan City. Journal of Military Medicine. 2014; 16: 99-104. 14. Cardenas R, Sandoval CM, Rodriguez-Morales AJ, Franco-Paredes C. Impact of climate variability in the occurrence of leishmaniasis in northeastern Colombia. The American Journal of Tropical Medicine and Hygiene. 2006; 1; 75: 273-7. 15. Patz JA, Olson SH, Uejio CK, Gibbs HK. Disease emergence from global climate and land use change. Medical Clinics of North America. 2008; 1; 92: 1473-91. 16. Ali-Akbarpour M, Mohammadbeigi A, Tabatabaee SH, Hatam G. Spatial analysis of eco-environmental risk factors of cutaneous leishmaniasis in southern Iran. Journal of Cutaneous and Aesthetic Surgery. 2012; 5: 30-35. 17. Ramezankhani R, Hosseini A, Sajjadi N, Khoshabi M, Ramezankhani A. Environmental risk factors for the incidence of cutaneous leishmaniasis in an endemic area of Iran: A GIS-based approach. Spatial and Spatio-temporal Epidemiology. 2017; 1; 21: 57-66. 18. AhangarCani M, Farnaghi M, Shirzadi M R. Predictive Map of Spatio-Temporal Distribution of Leptospirosis Using Geographical Weighted Regression and Multilayer Perceptron Neural Network Methods. Journal of Geomatics Science and Technology, 6, 79-98. 19. Statistical Center of Iran. Iran statistical yearbook. Tehran, Iran: Statistical Center of Iran, Press; 2016. 20. Fu P, Rich PM. The solar analyst 1.0 user manual. Helios Environmental Modeling Institute. 2000; 1616. 21. Garrett JH. Where and why artificial neural networks are applicable in civil engineering. 22. Manhaj, Mohammadbagher, 2002. Principles of Artificial Neural Networks. Published by Industrial University of Amirkabir (Tehran Polytechnic), Tehran. 23. Lee S, Park I, Koo BJ, Ryu JH, Choi JK, Woo HJ. Macrobenthos habitat potential mapping using GIS-based artificial neural network models. Marine pollution bulletin. 2013; 67: 177-86. 24. Hao W, Lu Z, Wei P, Feng J, Wang B. A new method on ANN for variance based importance measure analysis of correlated input variables. Structural Safety. 2012; 38: 56-63. 25. Ligmann-Zielinska A. Spatially-explicit sensitivity analysis of an agent-based model of land use change. International Journal of Geographical Information Science. 2013; 27: 1764-81. 26. Saltelli A, Tarantola S, Campolongo F. Sensitivity analysis as an ingredient of modeling. Statistical Science. 2000; 15: 377-95. 27. Saisana M, Saltelli A, Tarantola S. Uncertainty and sensitivity analysis techniques as tools for the quality assessment of composite indicators. Journal of the Royal Statistical Society: Series A (Statistics in Society). 2005; 168: 307-23. 28. Montgomery DC. Design and analysis of experiments. John wiley & sons; 2017. 29. Holakouie-Naieni K, Mostafavi E, Boloorani AD, Mohebali M, Pakzad R. Spatial modeling of cutaneous leishmaniasis in Iran from 1983 to 2013. Acta Tropica. 2017; 166: 67-73. 30. Salahi-Moghaddam A, Khoshdel AL, Hanafi-Bojd AA, Sedaghat MM. Mapping and review of leishmaniasis, its vectors and main reservoirs in Iran. Journal of Kerman University of Medical Sciences. 2015; 22: 83-104. 31. Hlavacova J, Votypka J, Volf P. The effect of temperature on Leishmania (Kinetoplastida: Trypanosomatidae) development in sand flies. Journal of Medical Entomology. 2013; 50: 955-8. 32. Mozaffari GH, Bakhshizade Kloche F, Ghaybi M. Analysis relationship between vegetation cover and Salak skin disease in Yazd-Ardakan plain. Geography and Environmental Planning Journal. 2011; 22: 47-50. 33. Farajzadeh M, Gholamy S, Ghavidel Y. Identifying the Climatic Factors Affecting the Prevalence of Cutaneous Leishmaniosis in Ilam Province, Iran, Using Satellite Imagery. Hakim Health System Research. 2016; 19: 152-162. 34. Rassi Y. Hanafi -Bojd AA. Phlebotominae Sand flies, vector of leishmaniases. 1th ed. Tehran: Noavaran Elm Publications; 1387. 39-58. 35. Alavinia SM, Arzamani K, Reihani MH, Jafari J. Some Epidemiological Aspects of Cutaneous Leishmaniasis in Northern Khorasan Province, Iran. Journal of Arthropod-Borne Diseases. 2009; 3: 50-54. 36. Singh K. Studies on the role of climatological factors in the distribution of phlebotomine sandflies (Diptera: Psychodidae) in semi-arid areas of Rajasthan, India. Journal of Arid Environments. 1999; 42: 43-8.
Autorzy:
M Javanbakht
M Argani
K Ezimand
A Saghafipour
Pokaż więcej
Temat:
cutaneous leishmaniasis
environmental and ecological criteria
artificial neural network
sensitivity analysis
Medical emergencies. Critical care. Intensive care. First aid
RC86-88.9
Źródło:
مجله اپیدمیولوژی ایران, Vol 17, Iss 1, Pp 21-33 (2021)
Opis pliku:
electronic resource
Relacje:
http://irje.tums.ac.ir/article-1-6927-en.html; https://doaj.org/toc/1735-7489; https://doaj.org/toc/2228-7507
Dostęp URL:
https://doaj.org/article/a76ce58ed86943edbdd1fd63c471f1bf  Link otwiera się w nowym oknie
Czasopismo naukowe
Szczegóły
Tytuł:
Observation of ψ(3686) →Ω−K+Ξ¯0 + c.c.
Autorzy:
Ablikim, M.
Achasov, M. N.Aff4, Aff88
Adlarson, P.
Afedulidis, O.
Ai, X. C.
Aliberti, R.
Amoroso, A.Aff78, Aff80
An, Q.Aff75, Aff61
Bai, Y.
Bakina, O.
Balossino, I.
Ban, Y.Aff49, Aff93
Bao, H.-R.
Batozskaya, V.Aff1, Aff47
Begzsuren, K.
Berger, N.
Berlowski, M.
Bertani, M.
Bettoni, D.
Bianchi, F.Aff78, Aff80
Bianco, E.Aff78, Aff80
Bortone, A.Aff78, Aff80
Boyko, I.
Briere, R. A.
Brueggemann, A.
Cai, H.
Cai, X.Aff1, Aff61
Calcaterra, A.
Cao, G. F.Aff1, Aff67
Cao, N.Aff1, Aff67
Cetin, S. A.
Chang, J. F.Aff1, Aff61
Che, G. R.
Chelkov, G.Aff39, Aff87
Chen, C.
Chen, C. H.
Chen, Chao
Chen, G.
Chen, H. S.Aff1, Aff67
Chen, H. Y.
Chen, M. L.Aff1, Aff61, Aff67
Chen, S. J.
Chen, S. L.
Chen, S. M.
Chen, T.Aff1, Aff67
Chen, X. R.Aff34, Aff67
Chen, X. T.Aff1, Aff67
Chen, Y. B.Aff1, Aff61
Chen, Y. Q.
Chen, Z. J.Aff25, Aff94
Chen, Z. Y.Aff1, Aff67
Choi, S. K.
Chu, X.
Cibinetto, G.
Cossio, F.
Cui, J. J.
Dai, H. L.Aff1, Aff61
Dai, J. P.
Dbeyssi, A.
de Boer, R. E.
Dedovich, D.
Deng, C. Q.
Deng, Z. Y.
Denig, A.
Denysenko, I.
Destefanis, M.Aff78, Aff80
De Mori, F.Aff78, Aff80
Ding, B.Aff70, Aff1
Ding, X. X.Aff49, Aff93
Ding, Y.
Ding, Y.
Dong, J.Aff1, Aff61
Dong, L. Y.Aff1, Aff67
Dong, M. Y.Aff1, Aff61, Aff67
Dong, X.
Du, M. C.
Du, S. X.
Duan, Y. Y.
Duan, Z. H.
Egorov, P.Aff39, Aff87
Fan, Y. H.
Fang, J.Aff1, Aff61
Fang, J.
Fang, S. S.Aff1, Aff67
Fang, W. X.
Fang, Y.
Fang, Y. Q.Aff1, Aff61
Farinelli, R.
Fava, L.Aff79, Aff80
Feldbauer, F.
Felici, G.
Feng, C. Q.Aff75, Aff61
Feng, J. H.
Feng, Y. T.Aff75, Aff61
Fritsch, M.
Fu, C. D.
Fu, J. L.
Fu, Y. W.Aff1, Aff67
Gao, H.
Gao, X. B.
Gao, Y. N.Aff49, Aff93
Gao, YangAff75, Aff61
Garbolino, S.
Garzia, I.Aff31, Aff32
Ge, L.
Ge, P. T.
Ge, Z. W.
Geng, C.
Gersabeck, E. M.
Gilman, A.
Goetzen, K.
Gong, L.
Gong, W. X.Aff1, Aff61
Gradl, W.
Gramigna, S.Aff31, Aff32
Greco, M.Aff78, Aff80
Gu, M. H.Aff1, Aff61
Gu, Y. T.
Guan, C. Y.Aff1, Aff67
Guan, Z. L.
Guo, A. Q.Aff34, Aff67
Guo, L. B.
Guo, M. J.
Guo, R. P.
Guo, Y. P.Aff12, Aff92
Guskov, A.Aff39, Aff87
Gutierrez, J.
Han, K. L.
Han, T. T.
Hao, X. Q.
Harris, F. A.
He, K. K.
He, K. L.Aff1, Aff67
Heinsius, F. H.
Heinz, C. H.
Heng, Y. K.Aff1, Aff61, Aff67
Herold, C.
Holtmann, T.
Hong, P. C.Aff12, Aff92
Hou, G. Y.Aff1, Aff67
Hou, X. T.Aff1, Aff67
Hou, Y. R.
Hou, Z. L.
Hu, B. Y.
Hu, H. M.Aff1, Aff67
Hu, J. F.Aff59, Aff95
Hu, T.Aff1, Aff61, Aff67
Hu, Y.
Huang, G. S.Aff75, Aff61
Huang, K. X.
Huang, L. Q.Aff34, Aff67
Huang, X. T.
Huang, Y. P.
Hussain, T.
Hölzken, F.
Hüsken, N.Aff27, Aff38
in der Wiesche, N.
Jackson, J.
Janchiv, S.
Jeong, J. H.
Ji, Q.
Ji, Q. P.
Ji, W.Aff1, Aff67
Ji, X. B.Aff1, Aff67
Ji, X. L.Aff1, Aff61
Ji, Y. Y.
Jia, X. Q.
Jia, Z. K.Aff75, Aff61
Jiang, D.Aff1, Aff67
Jiang, H. B.
Jiang, P. C.Aff49, Aff93
Jiang, S. S.
Jiang, T. J.
Jiang, X. S.Aff1, Aff61, Aff67
Jiang, Y.
Jiao, J. B.
Jiao, J. K.
Jiao, Z.
Jin, S.
Jin, Y.
Jing, M. Q.Aff1, Aff67
Jing, X. M.
Johansson, T.
Kabana, S.
Kalantar-Nayestanaki, N.
Kang, X. L.
Kang, X. S.
Kavatsyuk, M.
Ke, B. C.
Khachatryan, V.
Khoukaz, A.
Kiuchi, R.
Kolcu, O. B.
Kopf, B.
Kuessner, M.
Kui, X.Aff1, Aff67
Kumar, N.
Kupsc, A.Aff47, Aff81
Kühn, W.
Lane, J. J.
Larin, P.
Lavezzi, L.Aff78, Aff80
Lei, T. T.Aff75, Aff61
Lei, Z. H.Aff75, Aff61
Leithoff, H.
Lellmann, M.
Lenz, T.
Li, C.
Li, C.
Li, C. H.
Li, ChengAff75, Aff61
Li, D. M.
Li, F.Aff1, Aff61
Li, G.
Li, H.Aff75, Aff61
Li, H. B.Aff1, Aff67
Li, H. J.
Li, H. N.Aff59, Aff95
Li, Hui
Li, J. R.
Li, J. S.
Li, Ke
Li, L. J.Aff1, Aff67
Li, L. K.
Li, Lei
Li, M. H.
Li, P. R.Aff41, Aff97
Li, Q. M.Aff1, Aff67
Li, Q. X.
Li, R.Aff17, Aff34
Li, S. X.
Li, T.
Li, W. D.Aff1, Aff67
Li, W. G.
Li, X.Aff1, Aff67
Li, X. H.Aff75, Aff61
Li, X. L.
Li, X. Z.
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Li, Y. G.Aff49, Aff93
Li, Z. J.
Li, Z. X.
Liang, C.
Liang, H.Aff75, Aff61
Liang, H.Aff1, Aff67
Liang, Y. F.
Liang, Y. T.Aff34, Aff67
Liao, G. R.
Liao, L. Z.
Libby, J.
Limphirat, A.
Lin, C. C.
Lin, D. X.Aff34, Aff67
Lin, T.
Liu, B. J.
Liu, B. X.
Liu, C.
Liu, C. X.
Liu, F. H.
Liu, Fang
Liu, Feng
Liu, G. M.Aff59, Aff95
Liu, H.Aff41, Aff96, Aff97
Liu, H. B.
Liu, H. M.Aff1, Aff67
Liu, Huanhuan
Liu, Huihui
Liu, J. B.Aff75, Aff61
Liu, J. Y.Aff1, Aff67
Liu, K.Aff41, Aff96, Aff97
Liu, K. Y.
Liu, Ke
Liu, L.Aff75, Aff61
Liu, L. C.
Liu, Lu
Liu, M. H.Aff12, Aff92
Liu, P. L.
Liu, Q.
Liu, S. B.Aff75, Aff61
Liu, T.Aff12, Aff92
Liu, W. K.
Liu, W. M.Aff75, Aff61
Liu, X.Aff41, Aff96, Aff97
Liu, X.
Liu, Y.
Liu, Y.Aff41, Aff96, Aff97
Liu, Y. B.
Liu, Z. A.Aff1, Aff61, Aff67
Liu, Z. D.
Liu, Z. Q.
Lou, X. C.Aff1, Aff61, Aff67
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Luo, M. X.
Luo, T.Aff12, Aff92
Luo, X. L.Aff1, Aff61
Lyu, X. R.
Lyu, Y. F.
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Ma, H.
Ma, H. L.
Ma, J. L.Aff1, Aff67
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Ma, R. Q.Aff1, Aff67
Ma, X. T.Aff1, Aff67
Ma, X. Y.Aff1, Aff61
Ma, Y.Aff49, Aff93
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Maas, F. E.
Maggiora, M.Aff78, Aff80
Malde, S.
Mangoni, A.
Mao, Y. J.Aff49, Aff93
Mao, Z. P.
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Meng, Z. X.
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Mezzadri, G.
Miao, H.Aff1, Aff67
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Mitchell, R. E.
Mo, X. H.Aff1, Aff61, Aff67
Moses, B.
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Nefedov, Y.
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Nikolaev, I. B.Aff4, Aff88
Ning, Z.Aff1, Aff61
Nisar, S.Aff11, Aff98
Niu, Q. L.Aff41, Aff96, Aff97
Niu, W. D.
Niu, Y.
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Ouyang, Q.Aff1, Aff61, Aff67
Pacetti, S.Aff29, Aff30
Pan, X.
Pan, Y.
Pathak, A.
Patteri, P.
Pei, Y. P.Aff75, Aff61
Pelizaeus, M.
Peng, H. P.Aff75, Aff61
Peng, Y. Y.Aff41, Aff96, Aff97
Peters, K.Aff13, Aff90
Ping, J. L.
Ping, R. G.Aff1, Aff67
Plura, S.
Prasad, V.
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Qi, H.Aff75, Aff61
Qi, H. R.
Qi, M.
Qi, T. Y.Aff12, Aff92
Qian, S.Aff1, Aff61
Qian, W. B.
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Shan, W.
Shan, X. Y.Aff75, Aff61
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Shangguan, J. F.
Shao, L. G.Aff1, Aff67
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Shen, W. H.
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Stieler, F.
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Tang, G. Y.
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Tao, Q. T.Aff25, Aff94
Tat, M.
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Tian, W. H.
Tian, Y.Aff34, Aff67
Tian, Z. F.
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Wang, X. L.Aff12, Aff92
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Wang, Yi
Wang, Z.Aff1, Aff61
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Wen, Y. R.
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Wollenberg, L.
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Wu, L. H.
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Wu, X.Aff12, Aff92
Wu, X. H.
Wu, Y.
Wu, Y. H.
Wu, Y. J.
Wu, Z.Aff1, Aff61
Xia, L.Aff75, Aff61
Xian, X. M.
Xiang, B. H.Aff1, Aff67
Xiang, T.Aff49, Aff93
Xiao, D.Aff41, Aff96, Aff97
Xiao, G. Y.
Xiao, S. Y.
Xiao, Y. L.Aff12, Aff92
Xiao, Z. J.
Xie, C.
Xie, X. H.Aff49, Aff93
Xie, Y.
Xie, Y. G.Aff1, Aff61
Xie, Y. H.
Xie, Z. P.Aff75, Aff61
Xing, T. Y.Aff1, Aff67
Xu, C. F.Aff1, Aff67
Xu, C. J.
Xu, G. F.
Xu, H. Y.
Xu, Q. J.
Xu, Q. N.
Xu, W.
Xu, W. L.
Xu, X. P.
Xu, Y. C.
Xu, Z. P.
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Yan, W. B.Aff75, Aff61
Yan, W. C.
Yan, X. Q.
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Yang, H. X.
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Yao, Z. P.
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Yin, J. H.
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Yu, B. X.Aff1, Aff61, Aff67
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Yu, Y. C.
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Yuan, J.
Yuan, L.
Yuan, S. C.
Yuan, Y.Aff1, Aff67
Yuan, Y. J.
Yuan, Z. Y.
Yue, C. X.
Zafar, A. A.
Zeng, F. R.
Zeng, S. H.
Zeng, X.Aff12, Aff92
Zeng, Y.Aff25, Aff94
Zeng, Y. J.
Zhai, X. Y.
Zhai, Y. C.
Zhan, Y. H.
Zhang, A. Q.Aff1, Aff67
Zhang, B. L.Aff1, Aff67
Zhang, B. X.
Zhang, D. H.
Zhang, G. Y.
Zhang, H.
Zhang, H. C.Aff1, Aff61, Aff67
Zhang, H. H.
Zhang, H. H.
Zhang, H. Q.Aff1, Aff61, Aff67
Zhang, H. Y.Aff1, Aff61
Zhang, J.
Zhang, J.
Zhang, J. J.
Zhang, J. L.
Zhang, J. Q.
Zhang, J. W.Aff1, Aff61, Aff67
Zhang, J. X.Aff41, Aff96, Aff97
Zhang, J. Y.
Zhang, J. Z.Aff1, Aff67
Zhang, Jianyu
Zhang, L. M.
Zhang, Lei
Zhang, P.Aff1, Aff67
Zhang, R. Y.Aff41, Aff96, Aff97
Zhang, ShuihanAff1, Aff67
Zhang, ShuleiAff25, Aff94
Zhang, X. D.
Zhang, X. M.
Zhang, X. Y.
Zhang, Y.
Zhang, Y. T.
Zhang, Y. H.Aff1, Aff61
Zhang, Y. M.
Zhang, YanAff75, Aff61
Zhang, Yao
Zhang, Z. D.
Zhang, Z. H.
Zhang, Z. L.
Zhang, Z. Y.
Zhang, Z. Y.
Zhang, Z. Z.
Zhao, G.
Zhao, J. Y.Aff1, Aff67
Zhao, J. Z.Aff1, Aff61
Zhao, LeiAff75, Aff61
Zhao, Ling
Zhao, M. G.
Zhao, N.
Zhao, R. P.
Zhao, S. J.
Zhao, Y. B.Aff1, Aff61
Zhao, Y. X.Aff34, Aff67
Zhao, Z. G.Aff75, Aff61
Zhemchugov, A.Aff39, Aff87
Zheng, B.
Zheng, J. P.Aff1, Aff61
Zheng, W. J.Aff1, Aff67
Zheng, Y. H.
Zhong, B.
Zhong, X.
Zhou, H.
Zhou, J. Y.
Zhou, L. P.Aff1, Aff67
Zhou, S.
Zhou, X.
Zhou, X. K.
Zhou, X. R.Aff75, Aff61
Zhou, X. Y.
Zhou, Y. Z.Aff12, Aff92
Zhu, J.
Zhu, K.
Zhu, K. J.Aff1, Aff61, Aff67
Zhu, L.
Zhu, L. X.
Zhu, S. H.
Zhu, S. Q.
Zhu, T. J.Aff12, Aff92
Zhu, W. D.
Zhu, W. J.Aff12, Aff92
Zhu, Y. C.Aff75, Aff61
Zhu, Z. A.Aff1, Aff67
Zou, J. H.
Zu, J.Aff75, Aff61
Pokaż więcej
Źródło:
Journal of High Energy Physics. 2024(4)
Czasopismo naukowe
Szczegóły
Tytuł:
The Application of Drugs and Nano-Therapies Targeting Immune Cells in Hypoxic Inflammation
Autorzy:
Luo J
Wang H
Chen J
Wei X
Feng J
Zhang Y
Zhou Y
Pokaż więcej
Temat:
hypoxia
inflammation
immunometabolism
immunotherapy
nanotherapy
Medicine (General)
R5-920
Źródło:
International Journal of Nanomedicine, Vol Volume 19, Pp 3441-3459 (2024)
Opis pliku:
electronic resource
Relacje:
https://www.dovepress.com/the-application-of-drugs-and-nano-therapies-targeting-immune-cells-in--peer-reviewed-fulltext-article-IJN; https://doaj.org/toc/1178-2013
Dostęp URL:
https://doaj.org/article/3cec157a3659412f82b30ff0191c9503  Link otwiera się w nowym oknie
Czasopismo naukowe
Szczegóły
Tytuł:
A Nomogram Including Total Cerebral Small Vessel Disease Burden Score for Predicting Mild Vascular Cognitive Impairment in Patients with Type 2 Diabetes Mellitus
Autorzy:
Teng Z
Feng J
Xie X
Xu J
Jiang X
Lv P
Pokaż więcej
Temat:
vascular cognitive impairment
mild cognitive impairment
cerebral small vessel disease
type 2 diabetes mellitus
nomogram
Specialties of internal medicine
RC581-951
Źródło:
Diabetes, Metabolic Syndrome and Obesity, Vol Volume 17, Pp 1553-1562 (2024)
Opis pliku:
electronic resource
Relacje:
https://www.dovepress.com/a-nomogram-including-total-cerebral-small-vessel-disease-burden-score--peer-reviewed-fulltext-article-DMSO; https://doaj.org/toc/1178-7007
Dostęp URL:
https://doaj.org/article/5313b9972e5e4f40ad36f855c2dcbb02  Link otwiera się w nowym oknie
Czasopismo naukowe
Szczegóły
Tytuł:
The Impact of SARS-CoV-2 Infection on the Length of Stay in the Neuro-ICU:A Prospective Multicenter Cohort Study in Eight Neuro-ICU, China Between February and April 2023
Autorzy:
Tan L
Wang F
Huang Y
Fu C
Zhang H
Feng J
Xu Y
Ye X
Tang R
Chen Y
Mou L
Li R
Chen J
Xian J
Pokaż więcej
Temat:
sars-cov-2
intensive care unit
intracerebral hemorrhage
subarachnoid hemorrhage
traumatic brain injury.
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Neurology. Diseases of the nervous system
RC346-429
Źródło:
Neuropsychiatric Disease and Treatment, Vol Volume 20, Pp 765-775 (2024)
Opis pliku:
electronic resource
Relacje:
https://www.dovepress.com/the-impact-of-sars-cov-2-infection-on-the-length-of-stay-in-the-neuro--peer-reviewed-fulltext-article-NDT; https://doaj.org/toc/1178-2021
Dostęp URL:
https://doaj.org/article/ee155fb3855241a2b193ced9d44ecc7c  Link otwiera się w nowym oknie
Czasopismo naukowe
Szczegóły
Tytuł:
SIRT3 rs11246020 Polymorphism Associated Postprandial Triglyceride Dysmetabolism
Autorzy:
Yang L
Zhang Z
Zhen Y
Feng J
Chen J
Song G
Pokaż więcej
Temat:
sirtuin
postprandial hypertriglyceridemia
insulin resistance
genetics.
Specialties of internal medicine
RC581-951
Źródło:
Diabetes, Metabolic Syndrome and Obesity, Vol Volume 17, Pp 1279-1288 (2024)
Opis pliku:
electronic resource
Relacje:
https://www.dovepress.com/sirt3-rs11246020-polymorphism-associated-postprandial-triglyceride-dys-peer-reviewed-fulltext-article-DMSO; https://doaj.org/toc/1178-7007
Dostęp URL:
https://doaj.org/article/ee8b50651384492a886a3e716881bbb8  Link otwiera się w nowym oknie
Czasopismo naukowe
Szczegóły
Tytuł:
Clinical Misdiagnosis of Cutaneous Malignant Tumors as Melanocytic Nevi or Seborrheic Keratosis: A Retrospective Analysis of a Chinese Population
Autorzy:
Zhang J
Wang Y
Zhang W
Cai L
Feng J
Zhu Y
Lu H
Pokaż więcej
Temat:
malignant melanoma
squamous cell carcinoma
basal cell carcinoma
skin benign neoplasms
dermoscopy
china
Dermatology
RL1-803
Źródło:
Clinical, Cosmetic and Investigational Dermatology, Vol Volume 17, Pp 465-476 (2024)
Opis pliku:
electronic resource
Relacje:
https://www.dovepress.com/clinical-misdiagnosis-of-cutaneous-malignant-tumors-as-melanocytic-nev-peer-reviewed-fulltext-article-CCID; https://doaj.org/toc/1178-7015
Dostęp URL:
https://doaj.org/article/82a4d953d03144828486e83a38fb0191  Link otwiera się w nowym oknie
Czasopismo naukowe
Szczegóły
Tytuł:
A general review on the application of adsorption and oxidation combined processes on methyl tert-butyl ether removal
Autorzy:
Hua, T.
Feng, J.
Li, S.Aff1, IDs13762023048888_cor3
Yan, W.
Pokaż więcej
Źródło:
International Journal of Environmental Science and Technology. 20(10):11673-11692
Czasopismo naukowe
Szczegóły
Tytuł:
Perceptions, barriers and enablers of salt reduction in Malaysian out-of-home sectors (MySaltOH): from the point of view of policy-makers and food industries
Autorzy:
Harun, Zaliha
Shahar, SuzanaAff1, IDs1296102300965z_cor2
You, Yee Xing
Manaf, Zahara Abdul
Majid, Hazreen AbdulAff2, Aff8
Chia, Yook ChinAff3, Aff4
Haron, Hasnah
Michael, Viola
Sukiman, Noor Shahida
Taib, Aida Farzana Mohamad
He, Feng J.
Brown, Mhairi K.
Pokaż więcej
Źródło:
Health Research Policy and Systems. 21(1)
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Adolescent Non-Puerperal Mastitis: Risk Factors, Clinical Characteristics, and Prognosis Analysis
Autorzy:
Tang H
Wu X
Feng J
Gao Q
Shao S
Qu W
Xie L
Sun J
Pokaż więcej
Temat:
adolescents
non-puerperal mastitis
risk factors
clinical characteristics
prognosis
Pathology
RB1-214
Therapeutics. Pharmacology
RM1-950
Źródło:
Journal of Inflammation Research, Vol Volume 17, Pp 487-495 (2024)
Opis pliku:
electronic resource
Relacje:
https://www.dovepress.com/adolescent-non-puerperal-mastitis-risk-factors-clinical-characteristic-peer-reviewed-fulltext-article-JIR; https://doaj.org/toc/1178-7031
Dostęp URL:
https://doaj.org/article/45c46e17fbe749a6a597c10a2ed66324  Link otwiera się w nowym oknie
Czasopismo naukowe
Szczegóły
Tytuł:
Correlating pollutant removal by activated carbon with the concentration of humic acid in water
Autorzy:
Feng, J.
Yu, Q.
He, A.
Sheng, G. D.Aff2, IDs13762022044619_cor4
Pokaż więcej
Źródło:
International Journal of Environmental Science and Technology. 20(8):8887-8895
Czasopismo naukowe
Szczegóły
Wyświetlanie 1-20 z 289995

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