Zobrazeno 1 - 10
of 2 377
pro vyhledávání: '"J. Y. Lo"'
Autor:
Yasmina R. Ben Yessef Garfia
Publikováno v:
Cuadernos de Historia Moderna, Vol 48, Iss 2 (2023)
Externí odkaz:
https://doaj.org/article/d4df46555a4641809bec0f477ac90abf
Autor:
Andrew McDonald, Jose Novo Matos, Joel Silva, Catheryn Partington, Eve J. Y. Lo, Virginia Luis Fuentes, Lara Barron, Penny Watson, Anurag Agarwal
Publikováno v:
Journal of Veterinary Internal Medicine, Vol 38, Iss 6, Pp 2994-3004 (2024)
Abstract Background The presence and intensity of heart murmurs are sensitive indicators of several cardiac diseases in dogs, particularly myxomatous mitral valve disease (MMVD), but accurate interpretation requires substantial clinical expertise. Ob
Externí odkaz:
https://doaj.org/article/ae7dba21a96c4da3b4aefdf52dec1e95
Akademický článek
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Publikováno v:
Human Reproduction. 36
Study question Does Hyaluronic acid(HA) binding sperm selection prior ICSI produce better outcome compare to PVP? Summary answer No significant difference in fertilization rate, blastocyst utilization rate, pregnancy rate and miscarriage rate in HA v
Publikováno v:
Lo, E J Y, Schwarz, T & Corcoran, B M 2021, ' Topographical distribution and radiographic pattern of lung lesions in canine eosinophilic bronchopneumopathy ', Journal of Small Animal Practice, vol. 62, pp. 655-661 . https://doi.org/10.1111/jsap.13319
OBJECTIVES: To evaluate the radiographic lung pattern and topographical distribution in canine eosinophilic bronchopneumopathy.MATERIALS AND METHODS: Medical records were retrospectively reviewed for dogs diagnosed with eosinophilic bronchopneumopath
Autor:
Fryc, Irena1 (AUTHOR) i.fryc@pb.edu.pl, Listowski, Maciej1 (AUTHOR) maciej.listowski@pb.edu.pl, Fan, Jiajie2 (AUTHOR) jiajie_fan@fudan.edu.cn, Czyżewski, Dariusz3 (AUTHOR) dariusz.czyzewski@pw.edu.pl
Publikováno v:
Energies (19961073). Nov2024, Vol. 17 Issue 21, p5335. 22p.
Autor:
Ibrayeva, Ayagoz1,2 (AUTHOR) bbaptayev@nu.edu.kz, Abibulla, Urker3 (AUTHOR), Imanbekova, Zulfiya3 (AUTHOR), Baptayev, Bakhytzhan1 (AUTHOR), O'Reilly, Robert J.4 (AUTHOR) roreill6@une.edu.au, Balanay, Mannix P.1,3 (AUTHOR) roreill6@une.edu.au
Publikováno v:
Molecules. Nov2024, Vol. 29 Issue 21, p5035. 28p.
Autor:
Zhang YQ; State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, 38 Xueyuan Road, Beijing, 100191, China., Zhang M; State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, 38 Xueyuan Road, Beijing, 100191, China., Wang ZL; State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, 38 Xueyuan Road, Beijing, 100191, China., Bao YO; State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, 38 Xueyuan Road, Beijing, 100191, China., Wang YQ; State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, 38 Xueyuan Road, Beijing, 100191, China., Tian YG; State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, 38 Xueyuan Road, Beijing, 100191, China., Ye L; State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, 38 Xueyuan Road, Beijing, 100191, China., Ye M; State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, 38 Xueyuan Road, Beijing, 100191, China.; Peking University-Yunnan Baiyao International Medical Research Center, 38 Xueyuan Road, Beijing, 100191, China.
Publikováno v:
Angewandte Chemie (International ed. in English) [Angew Chem Int Ed Engl] 2024 Dec 01, pp. e202420104. Date of Electronic Publication: 2024 Dec 01.
Publikováno v:
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference. 2004
We investigated Bayesian network structure learning and probability estimation from mammographic feature data in order to classify breast lesions into different pathological categories. We compared the learned networks to naive Bayes classifiers, whi
Akademický článek
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