Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Li-Jun Liao"'
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Plant-parasitic nematodes (PPNs) are among the most damaging pathogens to host plants. Plants can modulate their associated bacteria to cope with nematode infections. The tritrophic plant–nematode–microbe interactions are highly taxa-dependent, r
Externí odkaz:
https://doaj.org/article/379e6c9d26d14974a7de3011779e9288
Autor:
Cheng-Lan Lin, Li-Jun Liao
Publikováno v:
Solar Energy Materials and Solar Cells. 145:54-60
Micropatterned polyaniline (mPani) thin films on indium tin oxide (ITO) conducting substrates are prepared by the electrostatic field-assisted potentiostatic deposition (ESaPD) and their electrochromic (EC) properties are investigated in this study.
Publikováno v:
Applied Mechanics and Materials. 343:127-134
This paper forecasts the development trend of wildlife population based on grey dynamic discrete systems, and discusses the estimation method of spectral radius for the 3-order grey transfer state matrices. Taking the population variation of the spot
Publikováno v:
Zhonghua yi xue za zhi. 93(37)
To observe the feasibility and clinical efficacy of CT guided two needles puncturing crossed through disc for superior hypogastric block with alcohol to manage intractable pelvic cancer pain.Thirty-one cases of advanced pelvic cancer suffering from u
Publikováno v:
2005 International Conference on Machine Learning and Cybernetics.
SA (software architecture) is not as clearly visible and controllable at the application level at running time as that software online evolution is difficult. Runtime SA exists in system implicitly, and architectural issues are spread throughout the
Publikováno v:
2005 International Conference on Machine Learning and Cybernetics.
OWL-S can't provide sufficient support for automatic composition of Web services. An ontology model capable of overriding declaration and expressing virtual class is defined by introducing into a monotonic inheritance mechanism. A method and framewor
Publikováno v:
2005 International Conference on Machine Learning & Cybernetics; 2005, p923-923, 1p