The continuing need to protect food and fiber production to address the demands of an expanding global population requires new pest management tools for crop protection. Natural products (NPs) have been and continue to be a key source of inspiration for new active ingredients (AIs) for crop protection, accounting for 17% of all crop protection AIs. However, potentially 50% of all crop protection compounds have or could have a NP origin if NP synthetic equivalents (NPSEs, synthetic compounds discovered by other approaches but for which a NP model also happens to exist) are also considered. The real and hypothetical NPs have their greatest impact as insight for new classes of crop protection compounds. Among the different product areas, NPs have their largest influence on the discovery of new insecticides, while herbicides have been the least affected by mining NPs for new AIs. While plants have historically been the largest (60% of the total) source of NPs of AIs for crop protection, in the last 30 years, bacterial NPs have become the largest source (42% of the total) of new classes (first in class) of NP-inspired crop protection AIs. Interest in NPs for crop protection continues, an aspect that is highlighted by the notable rise in the numbers of publications and patents on this topic, especially in the last 20 years. The present analysis further illustrates the continuing interest and value in NPs as sources of and inspiration for new classes of crop protection compounds.

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Banwari Trace, a well-stratified shell midden located in southeastern Trinidad, provides the oldest known archaeological evidence of human settlement in the West Indies and has been crucial to our understanding of the initial peopling of the greater Caribbean region. Detailed excavation profile descriptions, soil and faunal analyses, accelerator mass spectrometry radiocarbon and optically stimulated luminescence dating, and stable carbon isotope analyses provide an accurate chronology and paleoenvironmental framework for the natural and anthropogenic depositional history of this significant archaeological site. Our findings support the recognition of three Middle Holocene strata at Banwari Trace, which represent significant periods of midden deposition and environmental change at: ~7800–7900 cal BP (Level 3); ~6900–7400 cal BP (Level 2); and ~5500–6200 cal BP (Level 1). Stable carbon isotope analyses show the landscape was dominated by C3 vegetation throughout the Middle Holocene with a possible drying episode near the end of the Middle Holocene climatic optimum. Cedrosan potsherds discovered in the uppermost 25 cm (Level 0) suggest that a Late Holocene radiocarbon age of ~2770–2200 cal BP for charcoal from this stratum is valid and possibly contemporary with an apparently intrusive human burial recovered in 1971 at a depth of ~20 cm.

Abstract-As the realism in games continues to increase, through improvements in graphics and 3D engines, more focus is placed on the behavior of the simulated agents that inhabit the simulated worlds. The agents in modern video games must become more life-like in order to seem to belong in the environments they are portrayed in. Many modern artificial intelligence approaches achieve a high level of realism but this is accomplished through significant developer time spent scripting the behaviors of the Non-Playable Characters or NPC's. These agents will behave in a believable fashion in the scenarios they have been programmed for, but do not have the ability to adapt to new situations. In this paper we introduce a modularized, real-time evolution training technique to evolve adaptable agents with life-like behaviors. Online performance during evolution is also improved by using selection mechanisms found in temporal difference learning methods to appropriately balance the exploration and exploitation of control policies. These methods are implemented and tested using the XNA framework producing very promising results regarding efficiency of techniques, and demonstrating many potential avenues for further research.