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Titlebook: Women, Migration, and Conflict; Breaking a Deadly Cy Susan Forbes Martin,John Tirman Book 2009 Springer Science+Business Media B.V. 2009 Ar

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21#
發(fā)表于 2025-3-25 05:21:50 | 只看該作者
22#
發(fā)表于 2025-3-25 11:20:37 | 只看該作者
A New Proposal to Predict Corporate Bankruptcy in Italy During the 2008 Economic Crisisy in the last decade. Any prediction technique must be reliable (good recognition rate, sensitivity and specificity), robust and able to give predictions with a sufficient time lag to allow for corrective actions. In this paper we have considered the case of Small-Medium Enterprises (SMEs) in Italy
23#
發(fā)表于 2025-3-25 14:11:08 | 只看該作者
24#
發(fā)表于 2025-3-25 16:16:01 | 只看該作者
25#
發(fā)表于 2025-3-25 23:09:24 | 只看該作者
Dynamic Evolution of Social Network in OHCs Based on Stochastic Actor-Based Model: A Case Study of Wd geo-graphical distances, provides users with rich and customized information services as well as emotional support. By studying user behavior and the social network evolution in the online health community, it can effectively improve the user activity of the online health community and the efficie
26#
發(fā)表于 2025-3-26 01:00:44 | 只看該作者
Structure and resilience of a tidepool fish assemblage at Barbadostained 2078 individuals of 63 species. The number of species, individuals and total biomass increased with pool size. Partial residents, primarily juveniles of reef species, comprised 44% of species, 36% of numbers, and 26% of biomass. True and partial residents were of similar sizes. Most of the la
27#
發(fā)表于 2025-3-26 05:49:22 | 只看該作者
28#
發(fā)表于 2025-3-26 08:43:18 | 只看該作者
29#
發(fā)表于 2025-3-26 13:05:01 | 只看該作者
Biomarkers for Bipolar Disorder, to the clinical application of these findings, digital technologies for example in metabolomics promise new opportunities that, with further exploration, may assist in moving towards more personalised and stratified healthcare approaches.?
30#
發(fā)表于 2025-3-26 17:17:50 | 只看該作者
Sheetal K. Chand,Martin Paldamantigen presenting cells, NK, NKT and stem cells; genetics; mechanisms including receptors and signal transduction; mitochondria; proteasome; cytokines; neuro-endocrine-immune networks; inflammation; thymus; clinical relevance in disease states including infections, autoimmunity, cancer, metabolic s
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