不怕任性
发表于 2025-3-25 04:26:45
Christopher D. Fetner M.D.,Glenn M. Preminger M.D.,JoAnn Seger M.D.,Tony A. Lea M.D. poverty reduction (Mellor, 1976). The much greater success of Asian countries in building on the Green Revolution to transform their economies and reduce poverty relative to Latin America with its highly unequal agrarian structure, further re-enforced this development model.
Nmda-Receptor
发表于 2025-3-25 11:07:32
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说不出
发表于 2025-3-25 13:34:44
P. Puppo M.D.,P. Bottino M.D.,F. Germinale M.D.,C. Caviglia M.D.,G. Ricciotti M.D.results—analysis of land use changes and their driving forces on the territory of Czechia between 1845 and 2010. The text is accompanied by a number of maps and cartograms. At the end of the first chapter, the authors of this book and their research history are presented—altogether six scholars cont
STANT
发表于 2025-3-25 18:03:47
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jaundiced
发表于 2025-3-25 23:06:11
Gerhard J. Fuchs M.D.,Christian G. Chaussy M.D.,Anna M. Fuchs M.D.tended for export markets is radically different from what they are used to. It necessitates a new kind of knowledge, a new organization of production, new time cycles, a new distribution of responsibility, and the formation of new relations between people in their settlements. The analysis of this
详细目录
发表于 2025-3-26 03:11:33
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完成才会征服
发表于 2025-3-26 07:19:25
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痛苦一生
发表于 2025-3-26 11:57:17
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一再遛
发表于 2025-3-26 14:28:07
Raju Thomas M.D., F.A.C.S.,Joseph N. Macaluso Jr. M.D., F.A.C.S.ion as to how well our maps capture the dynamics of the landscape. Quantity and allocation disagreement (Sect. .) analyse the differences between the reference map and the map being validated using two indices: disagreement in quantity and disagreement in allocation. The Figure of Merit (FoM) (Sect.
生锈
发表于 2025-3-26 19:54:25
F. Rocco M.D.,P. Larcher M.D.,O. DeCobelli M.D.,D. Caimi M.D.,R. Musci M.D.anatory factors. However, unlike traditional regression techniques, it considers the distance between data points when estimating the coefficients of the regression points using a moving window. Hence, it assumes that geographic data are non-stationary i.e., they vary over space. Geographically weig