Identifying Beetle Species Using Machine Learning

Machine learning Artificial Intelligence (AI) hold the potential to benefit farmers and the environment. Computer models can identify lady beetles in images, and, with more training, possibly determine their presence in crop fields. As predators, lady beetles could be a strong indicator of aphid infestations. Using this information and Al technology, farmers could simultaneously reduce costs and environmental damage by having the ability to identify an infested area and focus pesticide applications on a specified section rather than on an entire field,. Before we reach this point, we must determine whether Al or human identification is more reliable and efficient

Disaggregated trade and disaggregated currency unions: a ranking of common currency effects

Andrew Rose has long argued that a common currency has a large effect on increasing trade. Recently, Rose has called into question the reliability of this conclusion, as new techniques have emerged for estimating gravity equations. This article uses the sector-specific gravity model developed by Anderson and Yotov (2010a) to investigate if disaggregated trade can provide a reliable estimate of a common currency’s effect. Disaggregating trade alone is insufficient to obtain a reliable estimate of a currency union, regardless of econometric technique, when the effect of a common currency on trade is uniform across all unions. Disaggregating the universe of currency unions with individual effects provides a reliable ranking of currency unions, independent of estimation method, by the effect that each union’s currency has on increasing trade. These rankings differ across sectors

Low leak rate poppet-and-seat check valve

Valve leakage due to contaminant entrapment and chattering is effectively minimized by a metallic poppet-and-seat check valve designed for use in extreme environmental and fluid temperature conditions

Prediction of many-electron wavefunctions using atomic potentials: refinements and extensions to transition metals and large systems

For a given many-electron molecule, it is possible to define a corresponding one-electron Schr\"odinger equation, using potentials derived from simple atomic densities, whose solution predicts fairly accurate molecular orbitals for single- and multi-determinant wavefunctions for the molecule. The energy is not predicted and must be evaluated by calculating Coulomb and exchange interactions over the predicted orbitals. Transferable potentials for first-row atoms and transition metal oxides that can be used without modification in different molecules are reported. For improved accuracy, molecular wavefunctions can be refined by slightly scaling nuclear charges and by introducing potentials optimized for functional groups. For a test set of 20 molecules representing different bonding environments, the transferable potentials with scaling give wavefunctions with energies that deviate from exact self-consistent field or configuration interaction energies by less than 0.05 eV and 0.02 eV per bond or valence electron pair, respectively. Applications to the ground and excited states of a Ti18O36 nanoparticle and chlorophyll-s are reported.Comment: 20 pages. arXiv admin note: text overlap with arXiv:1702.0685

A sequential linear discriminant analysis program for geological and remotely-sensed data

Sequential linear discriminant analysis program for geological and remotely sensed dat