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Titlebook: Wildlife Conservation Evaluation; Michael B. Usher Book 1986 Chapman and Hall Ltd 1986 Wildlife.agriculture.biological.conservation.enviro

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楼主: Retina
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Proceedings of the 9th International Conference on Energy Engineering and Environmental Engineering978-3-031-30233-6Series ISSN 1863-5520 Series E-ISSN 1863-5539
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https://doi.org/10.1007/978-3-8349-8772-32-key sorting networks that are faster than the corresponding merge-sorting networks in terms on the number of steps [.]. The technique described here comprises the following stages: designing a good single-segment poset, generating a staircase Shmoo chart, and finalizing the sorting. We aimed at pr
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Ruggero Corso,Davide Cattanon-behaviour relationship.Fills a gap in the neuropsychologic.One of the challenges the field of clinical neuropsychology faces is to develop an assessment process that is relevant and responsive to the needs of patients. Indeed, it has been suggested that the survival of neuropsychology as a clinica
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Pengyu Wang,Tao Ren,Jiaxin Liu,Wei Liu,Jun Hu,Shuai Cheng,Dazong Zhangsführer der KSMA Solar mbH, möchte für die Gesellschaft bei der Nordbank AG ein neues Firmenkonto eröffnen lassen. Gleichzeitig wird ein Kontokorrentkredit über 250.000,00 EUR beantragt. Als Legitimationsnachweis liegen der Personalausweis von Ben Harms und der nachstehende Handelsregisterauszug der
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Andrew Scanlonrimental and numerical point of view in other chapters, this chapter mainly aims at the numerical aspects of the model setup from the material to the structural scale. The objective of this chapter is to establish the link between experimental testing on the material scale and predictive simulation
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Humberto Blanco,Rattan Lalergency Teams (METs), I was surprised. At Presbyterian-University Hospital in Pittsburgh we int- duced this idea some 15 years ago, but did not think it was revolutionary enough to publish. This, even though, our fellows in critical care medicine training were all involved and informed about the imp
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Parhom Towfighi,Jacob Shaw,Tara Sigdelfilter based on neural network algorithm is proposed. Using back-propagation (BP) neural network to adjust the particles with too high and too low weight, firstly, the larger weight particles are respectively splitted into two smaller weight particles. Then, abandoning the particles with very small
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