farming organic vegetable and crops have grown as a market desiring commodity. weed control in farms has been costly and laborous and it has always been hard to achieve a proper weeding. a few chemicals are commonly applied in organic farming. thermal weeding with flame burners seems a good solution; however, it has its own drawbacks, such as; damaging the main crops, low performance, being inf...

design of a logistics network in proper way provides a proper platform for efficient and effective supply chain management. this paper studies a multi-period, multi echelon and multi-product integrated forward-reverse logistics network under uncertainty. first, an efficient complex mixed-integer linear programming (milp) model by considering some real-world assumptions is developed for the inte...

A rapid sugar fermentation procedure has been developed for the confirmation of Neisseria gonorrhoeae from either primary isolation media or purification media. A lightly buffered salt solution with pH indicator and sugars was heavily inoculated with presumptively positive growth. Proper fermentation patterns are obtained in 1 to 4 h with no interference from inhibited contaminants or variation...

Reasoning about the nested beliefs or knowledge of other agents is essential for many collaborative and competitive tasks. However, reasoning with nested belief (for example through epistemic logics) is computationally expensive. Proper Epistemic Knowledge Bases (PEKBs) address this by enforcing syntactic restrictions on the knowledge base. By compiling a PEKB and query formula into a specific ...

First we examine a resonant variational inequality driven by the p-Laplacian and with a nonsmooth potential. We prove the existence of a nontrivial solution. Then we use this existence theorem to obtain nontrivial positive solutions for a class of resonant elliptic equations involving the p-Laplacian and a nonsmooth potential. Our approach is variational based on the nonsmooth critical point th...

We study the robust proper learning of univariate log-concave distributions (over continuous and discrete domains). Given a set of samples drawn from an unknown target distribution, we want to compute a log-concave hypothesis distribution that is as close as possible to the target, in total variation distance. In this work, we give the first computationally efficient algorithm for this learning...

A new connectionist model, called Switching Neural Network (SNN), for the solution of classification problems is presented. SNN includes a first layer containing a particular kind of A/D converters, called latticizers, that suitably transform input vectors into binary strings. Then, the subsequent two layers of an SNN realize a positive Boolean function that solve in a lattice domain the origin...

where ε is a small positive parameter, a,b > 0, λ > 0, 2 < p≤ 4, V andW are two potentials. Under proper assumptions, we prove that, for ε > 0 sufficiently small, the above problem has a positive ground-state solution uε by using a monotonicity trick and a new version of global compactness lemma. Moreover, we use another global compactness method due to Gui (Commun. Partial Differ. Equ. 21:787-...

While it is relatively easy to start an online advertising campaign, proper allocation of the marketing budget is far from trivial. A major challenge faced by the marketers attempting to optimize their campaigns is in the sheer number of variables involved, the many individual decisions they make in fixing or changing these variables, and the nontrivial short and long-term interplay among these...