Abstract: A flap-folding module for a food processing line is arranged to receive a food product lying on a sheet of material and to fold a portion of the sheet over the food product. A conveyor system carries the food product and sheet along a product flow path through the module. A gas jet outlet device provides a pulse of gas to raise a leading edge of the sheet, and an edge catch device receives the leading edge, temporarily retaining the leading edge whilst the food product passes beneath, thereby folding a leading portion of the sheet over at least part of the food product. The conveyor system comprises a mid-conveyor section and an upstream conveyor section which is upstream of the mid-conveyor section.

Abstract: A flap-folding module for a food processing line is arranged to receive a food product lying on a sheet of material and to fold a portion of the sheet over the food product. A conveyor system carries the food product and sheet along a product flow path through the module. A gas jet outlet device provides a pulse of gas to raise a leading edge of the sheet, and an edge catch device receives the leading edge, temporarily retaining the leading edge whilst the food product passes beneath, thereby folding a leading portion of the sheet over at least part of the food product. The conveyor system comprises a mid-conveyor section and an upstream conveyor section which is upstream of the mid-conveyor section, and the upstream conveyor section is pivotable relative to the mid-conveyor section about a pivot axis which extends transversely across the product flow path.

Abstract: A flap-folding module for a food processing line is arranged to receive a food product lying on a sheet of material and to fold a portion of the sheet over the food product. A conveyor system carries the food product and sheet along a product flow path through the module. A gas jet outlet device provides a pulse of gas to raise a leading edge of the sheet, and an edge catch device receives the leading edge, temporarily retaining the leading edge whilst the food product passes beneath, thereby folding a leading portion of the sheet over at least part of the food product. The conveyor system comprises a mid-conveyor section and an upstream conveyor section which is upstream of the mid-conveyor section, and the upstream conveyor section is pivotable relative to the mid-conveyor section about a pivot axis which extends transversely across the product flow path.

Abstract: Systems and methods for creating a data graph. One system includes a plurality of data sources and an electronic computing device. The electronic computing device includes an electronic processor configured to generate a data graph for an entity by accessing a plurality of data records stored in a first set of the plurality of data sources. The data graph includes a plurality of connected nodes each including at least one feature representing a dimension of the data graph. The electronic processor is configured to infer an additional dimension for the data graph based on data included in the data graph, and, in response to confirming addition of the additional dimension to the data graph, add data to the data graph associated with the additional dimension by accessing data stored in a second set of the plurality of data sources.

Abstract: Described herein is a provenance chain exploration system and method. Particular journeys of entities are identified from stored provenance chain data using an algorithm. A group of similar journeys (representative journey) can be identified using a clustering algorithm and/or probabilistic algorithm. Information associated with the identified group of similar journeys (representative journey) can be graphically displayed to a user. The user can interactively modify setting(s) associated with identification of journeys and/or identification of group(s) of similar journeys. The graphically displayed information can be modified in accordance with the modified setting(s).

Abstract: Multi-component model engineering is described, for example, to model multi-component dynamical systems in which the true underlying processes are incompletely understood such as the Earth's biosphere, whole organisms, biological cells, the immune system, and anthropogenic systems such as agricultural systems, and economic systems. In an embodiment individual component models are linked together and associated with empirical data observed from the system being modeled in a consistent, repeatable manner. For example, a model component, its links with data, its outputs, and its links with other model components, are specified in a format to be passed directly to inference routines which use an inference engine to infer the most likely parameters of the multi-component model given subsets of the empirical data. The inferred parameter values take the form of a probability distribution representing the degree of uncertainty in most likely parameter.

Abstract: A probabilistic carbon credits calculator may be used to calculate carbon credit monetary values for specified geographical areas, time periods, land uses, climate scenarios and other factors. For example, different land use scenarios may be assessed in terms of carbon credit monetary value to aid decisions about whether to return pasture to forest, whether to deforest an area and other such land use decisions. In various embodiments, predictions of terrestrial carbon amounts and certainty of those predictions are obtained from a carbon model and the predictions may be compared with comparison data and combined with carbon credit market data or other financial estimates of carbon value. In various examples the comparison data comprises empirical data and/or carbon model predictions. In various embodiments, certainty of predictions and/or comparison data is used to assess certainty of calculated carbon credit monetary values.

Abstract: Multi-component model engineering is described, for example, to model multi-component dynamical systems in which the true underlying processes are incompletely understood such as the Earth's biosphere, whole organisms, biological cells, the immune system, and anthropogenic systems such as agricultural systems, and economic systems. In an embodiment individual component models are linked together and associated with empirical data observed from the system being modeled in a consistent, repeatable manner. For example, a model component, its links with data, its outputs, and its links with other model components, are specified in a format to be passed directly to inference routines which use an inference engine to infer the most likely parameters of the multi-component model given subsets of the empirical data. The inferred parameter values take the form of a probability distribution representing the degree of uncertainty in most likely parameter.