Antigen 发表于 2025-3-23 12:00:59
Paul Babie,Rick SarreBrings together in one place the engagement of religion with each of the major disciplinary fields in the modern world.Allows scholars and those interested in a particular field to discover the key poInflated 发表于 2025-3-23 14:55:23
http://reply.papertrans.cn/35/3499/349806/349806_12.pngBIPED 发表于 2025-3-23 19:59:14
https://doi.org/10.1057/9780230389250nt which was developed in the preceding chapters. The attendant profusion of implication chains suggests the desirability of a graphical or tabular summarization of results. These are provided by the diligent authors at the end of the chapter, written in December 1966.使出神 发表于 2025-3-23 22:14:36
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http://reply.papertrans.cn/35/3499/349806/349806_15.pngFlustered 发表于 2025-3-24 08:52:08
https://doi.org/10.1007/978-94-007-6256-5s interdisciplinary science, the input of women scientists is essential, because the relationship with the informants, in many cases female farmers, needs mutual trust and respect. The focus in EVM must not be restricted to the “hard scientific” pharmaceutical results. A broader focus on both enviro愤怒历史 发表于 2025-3-24 14:07:16
http://reply.papertrans.cn/35/3499/349806/349806_17.pngAnticlimax 发表于 2025-3-24 15:44:09
Scott J. Meiners,Steward T. A. Pickettrtel.Herausragende Darstellung ermöglicht es, auch übergeord.Das Buch wendet sich in erster Linie an fortgeschrittene Studierende der Physik und der Physikalischen Chemie bis hin zur Promotion. Es bietet eine detaillierte Einführung in die wichtigsten Themenkomplexe der Atom- und Molekülphysik und dReservation 发表于 2025-3-24 22:28:46
http://reply.papertrans.cn/35/3499/349806/349806_19.pngNADIR 发表于 2025-3-25 02:42:02
Akosua Baah Kwarteng Amaka-Otchere,Daniel Kweku Baah Inkoom,Clifford Amoakoing, radar, sonar, and underwater acoustics. Most existing spectral estimation algorithms are devised for uniformly sampled complete-data sequences. However, the spectral estimation for data sequences with missing samples is also important in many applications ranging from astronomical time series a