Sentence examples for seed problem from inspiring English sources

Angelo Spena, a biologist at the University of Verona in Italy, with collaborators from Italy and Germany, found a way to get around the seed problem entirely by engineering plants that produced fruit, even when unfertilized.

Yet, the development of cancer is not just a "seed" problem but also a "soil" challenge [ 8, 102, 103].

Under this new paradigm, we re-define our J-MIN-Seed problem as well as the Influence Maximization problem and design some algorithms with provable error guarantees for the new problems.

Pointing out that the planner may be limited to local knowledge of network structure, Kim et al. explore an incomplete-information variant of the network seeding problem [14, 15].

When a planetary cycle occurs that many times, it is always possible that the first occurrence "seeds" problems and events that will be "triggered" during the second time (or, in the future five times) it happens.

In this article we examine the hardness of the seed optimization problem by a polynomial time reduction from the optimal Golomb ruler design problem, which is a well-known difficult (but not NP-hard) problem in combinatorial design.

For some simple distributions of the similarities, the seed optimization problem was proved to be not NP-hard.

If genetic load (perhaps in association with outcrossing) is at the heart of the low-seed-set problem in perennial crops, there is hope for a mechanism to vastly increase seed yield: purging of the genetic load.

So the issue is not developing the right kind of seeds – the problem is that there's no guarantee of profits.

In this work, we provide hardness and inapproximability results for several seed design problems, thereby justifying the complexity of known algorithms.

We concentrate on combinatorial seed design problems and consider formulations in which the set of sought similarities is either listed explicitly (RSOS), or characterised by their length and maximal number of mismatches (Non-Detection).