Abstract: Dual arm mechanical pruning apparatuses for simultaneously hedging and/or skirting trees in adjacent rows typically comprising: a mast assembly; a lift carriage assembly; two front arm assemblies, each front arm assembly comprising one or more saw blades; two lower arm assemblies, each lower arm assembly comprising one or more saw blades; two swing arms, each swing arm rotatably attached to the lift carriage, one of the two front arm assemblies and one of the two lower arm assemblies, where the two swing arms rotate, thereby extending and retracting the two front arm assemblies and the two lower arm assemblies relative to the lift carriage assembly, and where the two front arm assemblies hedge, and the two lower arm assemblies hedge or skirt trees. In some embodiments the dual arm mechanical pruning apparatus also comprises a vehicle mounting assembly.

Abstract: Disclosed herein are novel, high salt concentration, sulfolane based electrolytes with a sulfone cosolvent(s), which are at their eutectic concentrations to lower the melting points of the electrolytes. The lower melting point electrolytes improve the low temperature performance of high voltage rechargeable batteries. The high salt concentration electrolytes improve the cycle performance of rechargeable lithium metal anode based batteries. The same electrolytes can operate above 4.3 V and up to 5.0 V vs. Li/Li+. Various cells containing said electrolytes are also disclosed herein.

Abstract: The disclosure relates to a mass decontamination system that utilizes dry heat.

Abstract: The AI-Based Context Evaluation Engine Apparatuses, Methods and Systems (“ANDSE”) transforms embedding neural network training request, object search request, object evaluation request inputs via ANDSE components into embedding neural network response, object search response, object evaluation response outputs. Comparable context objects for a context object are determined. Relative values of the comparable context objects are calculated with regard to a benchmark object and used to calculate a relative value of the context object. The relative value is converted to a predicted price for the context object. Bid ask spreads for bid request objects are calculated. A spread win decision tree is constructed based on the calculated bid ask spreads and used to generate a spread win probability map for the context object. A spread is selected from the spread win probability map based on a desired winning bid confidence level and a bid price for the context object is calculated.