Updated peer review of the pesticide risk assessment of the active substance dichlorprop-P and variant dichlorprop-P-2-ethylhexyl. [PDF]
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Bilateral matching decision-making for rural homesteads withdrawal patterns and types of peasant households' welfare needs: Evidence from China in the context of land spatial planning regulation. [PDF]
Zhu D, Wang Y, Niu Q, Wu Z, Wu L.
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Discovering natural products as potential inhibitors of SARS-CoV-2 spike proteins. [PDF]
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Integrated Metabolomics and Targeted Gene Expression Profiling Reveal the Arginine-Anthocyanin Axis in Pomegranate Aril Paleness Disorder. [PDF]
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Optimal human papillomavirus vaccination strategies in the context of vaccine supply constraints in 100 countries. [PDF]
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Darmann, Andreas, Klamler, Christian
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We study a variety of geometric versions of the classical knapsack problem. In particular, we consider the following ``fence enclosure'' problem: Given a set \(S\) of \(n\) points in the plane with values \(v_ i\geq 0\), we wish to enclose a subset of the points with a fence (a simple closed curve) in order to maximize the ``value'' of the enclosure ...
Arkin, Esther M. +2 more
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A knapsack packing neural network of 4n units with both low-order and conjunctive asymmetric synapses is derived from a non-Hamiltonian energy function. Parallel simulations of randomly generated problems of size n in {5, 10, 20} are used to compare network solutions with those of simple greedy fast parallel enumerative algorithms.
B J, Hellstrom, L N, Kanal
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