Provided is an antimicrobial non-isotactic polymer based hard or semi-flexible surface in a thermoset and/or thermoplastic resin matrix wherein the active antimicrobial ingredient is copper oxide. Processes for preparing the same and applications thereof are also described.

Provided is an antimicrobial non-isotactic polymer based hard or semi-flexible surface in a thermoset and/or thermoplastic resin matrix wherein the active antimicrobial ingredient is copper oxide. Processes for preparing the same and applications thereof are also described.

The present invention relates to substituted pyrimidinium compounds of formula (I), to the stereoisomers, salts, tautomers and N-oxides thereof and to compositions comprising such compounds. The invention also relates to methods and uses of these substituted pyrimidinium compounds and of compositions thereof, for combating and controlling animal pests. Furthermore the invention relates also to pesticidal methods of applying such substituted pyrimidinium compounds. The substituted pyrimidinium compounds of the present invention are defined by the following general formula (I) ##STR00001##
wherein X, Y, Z, R.sup.1, R.sup.2, A and R.sup.3 are defined as in the description.

The present invention relates to substituted pyrimidinium compounds of formula (I), to the stereoisomers, salts, tautomers and N-oxides thereof and to compositions comprising such compounds. The invention also relates to methods and uses of these substituted pyrimidinium compounds and of compositions thereof, for combating and controlling animal pests. Furthermore the invention relates also to pesticidal methods of applying such substituted pyrimidinium compounds. The substituted pyrimidinium compounds of the present invention are defined by the following general formula (I) ##STR00001##
wherein X, Y, Z, R.sup.1, R.sup.2, A and R.sup.3 are defined as in the description.

Disclosed are compounds of Formula 1, including all geometric and stereoisomers, tautomers, N-oxides, and salts thereof, wherein R.sup.1, Z.sup.1, W, Z.sup.2 and J are as defined in the disclosure. Also disclosed are compositions containing the compounds of Formula 1 and methods for controlling plant disease caused by a fungal pathogen comprising applying an effective amount of a compound or a composition of the invention. ##STR00001##

Disclosed are compounds of Formula 1, including all geometric and stereoisomers, tautomers, N-oxides, and salts thereof, wherein R.sup.1, Z.sup.1, W, Z.sup.2 and J are as defined in the disclosure. Also disclosed are compositions containing the compounds of Formula 1 and methods for controlling plant disease caused by a fungal pathogen comprising applying an effective amount of a compound or a composition of the invention. ##STR00001##

The present disclosure relates to compositions including a fatty acid soap/fatty acid mixture, and methods of use thereof. The compositions include a C5 to C12 fatty acid or mixtures thereof. The compositions show increased activity, e.g., insecticidal, soil removal, antimicrobial activity, at a controlled pH range of about 7.5 to about 9.0.

The present disclosure relates to compositions including a fatty acid soap/fatty acid mixture, and methods of use thereof. The compositions include a C5 to C12 fatty acid or mixtures thereof. The compositions show increased activity, e.g., insecticidal, soil removal, antimicrobial activity, at a controlled pH range of about 7.5 to about 9.0.

A computer system that predicts synergistic interactions between pesticidal and synergistic compounds of a pesticidal composition is described. The system provides a trained classifier that provides probabilistic predictions of the synergy between two or more compounds on a pest. The system may select features for transformation, encode them, generate one or more predictions, and combine the predictions. The predictions may be evaluated by experimental testing, e.g. in vitro or in planta, and/or used to formulate and/or apply a pesticidal composition.

A computer system that predicts synergistic interactions between pesticidal and synergistic compounds of a pesticidal composition is described. The system provides a trained classifier that provides probabilistic predictions of the synergy between two or more compounds on a pest. The system may select features for transformation, encode them, generate one or more predictions, and combine the predictions. The predictions may be evaluated by experimental testing, e.g. in vitro or in planta, and/or used to formulate and/or apply a pesticidal composition.