Abstract: Disclosed embodiments include systems and methods for providing a secure physical storage system. The system may receive a request to register a first physical storage box from an entity including location information and security information. The request can be validated by comparing the security information to a predetermined security threshold. The location information associated with the first physical storage box can be recorded to a blockchain. The first registration information can be received from a first user device. The first physical storage box can be assigned to the first user device and a first identity token associated with the first physical storage box. The assignment information associated with the first physical storage box can be recorded to the blockchain. A first identity token can be received from the first user device. Instructions can be transmitted to the first physical storage box to transition from a locked to an unlocked state.

Abstract: In some aspects, a computing system may use a surrogate machine learning model to detect whether a production or other machine learning model has a tendency to generate different output depending on which subpopulation a particular sample belongs to. The surrogate machine learning model may be trained using features/outputs that are not included in the data used by the production model. For example, by using demographic information in lieu of the original labels of a dataset that was used to train a production model, a surrogate model may be used to detect whether the production model is able to discern one or more characteristics associated with but not present in a sample using other features of the dataset. Output of the surrogate machine learning model may be clustered to detect whether certain subpopulations are treated differently by the production model.

Abstract: In some aspects, a computing system may aggregating multiple counterfactual samples so that machine learning explanations can be generated for sub-populations. In addition, methods and systems described herein use machine learning and counterfactual samples to determine text to use in an explanation for a model's prediction. A computing system may also train machine learning models to not only determine whether a request to perform an action should be accepted, but also to generate output that is consistent with output generated by previous machine learning models. Further, a computing system may generate counterfactual samples based on user preferences. A computing system may obtain preferences and then apply a penalty or adjustment parameter such that when a counterfactual sample is created, the computing system is forced to change one or more features indicated by the preferences to create the counterfactual sample.

Abstract: In some aspects, a computing system may aggregating multiple counterfactual samples so that machine learning explanations can be generated for sub-populations. In addition, methods and systems described herein use machine learning and counterfactual samples to determine text to use in an explanation for a model's prediction. A computing system may also train machine learning models to not only determine whether a request to perform an action should be accepted, but also to generate output that is consistent with output generated by previous machine learning models. Further, a computing system may generate counterfactual samples based on user preferences. A computing system may obtain preferences and then apply a penalty or adjustment parameter such that when a counterfactual sample is created, the computing system is forced to change one or more features indicated by the preferences to create the counterfactual sample.

Abstract: In some aspects, a computing system may aggregating multiple counterfactual samples so that machine learning explanations can be generated for sub-populations. In addition, methods and systems described herein use machine learning and counterfactual samples to determine text to use in an explanation for a model's prediction. A computing system may also train machine learning models to not only determine whether a request to perform an action should be accepted, but also to generate output that is consistent with output generated by previous machine learning models. Further, a computing system may generate counterfactual samples based on user preferences. A computing system may obtain preferences and then apply a penalty or adjustment parameter such that when a counterfactual sample is created, the computing system is forced to change one or more features indicated by the preferences to create the counterfactual sample.

Abstract: Methods for making titanated silica supports, titanated chromium/silica pre-catalysts, and activated titanated chromium/silica catalysts are disclosed in which hydrogen peroxide and an alkali metal precursor are used during catalyst preparation. Resulting titanated chromium/silica pre-catalysts often contain silica, 0.1 to 5 wt. % chromium, 0.1 to 10 wt. % titanium, and less than or equal to 4 wt. % carbon, and further contain a bound alkali metal or zinc at a molar ratio of alkali metal:titanium or zinc:titanium from 0.02:1 to 3:1 and/or at an amount in a range from 0.01 to 2 mmol of alkali metal or zinc per gram of the silica. High melt index potential activated titanated chromium/silica catalysts can be used to polymerize olefins to produce, for example, ethylene based homopolymers and copolymers having HLMI values of greater than 30 g/10 min.

Abstract: Disclosed embodiments include systems and methods for providing a secure physical storage system. The system may receive a request to register a first physical storage box from an entity including location information and security information. The request can be validated by comparing the security information to a predetermined security threshold. The location information associated with the first physical storage box can be recorded to a blockchain. The first registration information can be received from a first user device. The first physical storage box can be assigned to the first user device and a first identity token associated with the first physical storage box. The assignment information associated with the first physical storage box can be recorded to the blockchain. A first identity token can be received from the first user device. Instructions can be transmitted to the first physical storage box to transition from a locked to an unlocked state.

Abstract: Example embodiments provide fuel cell humidifiers. An example humidifier comprises a stack of unit cells. Each of the unit cells may comprise a separator having a perimeter frame and first and second major faces, a first membrane sheet bonded to the perimeter frame on the first major face of the separator and a second membrane sheet bonded to the perimeter frame on the second major face of the separator. The perimeter frame and the first and second membrane sheets may define a cavity in an interior of the perimeter frame. Opposed frame ends of the perimeter frame may be apertured to allow a first flow to flow through the cavity in a first direction. The separator may include first and second ridges that extend across first and second frame ends.

Abstract: The present invention relates to processes to remove butanol and other product alcohols from a fermentation broth employing vacuum vaporization.

Abstract: The present invention relates to processes for recovering butanol produced in a fermentative process using, for example, an ethanol production plant which has been reversibly-retrofitted for butanol production, that is, the ethanol production plant may be converted for butanol production, but can also revert to an ethanol production. The present invention also relates to processes for recovering butanol produced in a fermentative process in a butanol production plant that may be converted to ethanol production plant.

Abstract: The present invention relates to processes for recovering butanol produced in a fermentative process using, for example, an ethanol production plant which has been reversibly-retrofitted for butanol production, that is, the ethanol production plant may be converted for butanol production, but can also revert to an ethanol production. The present invention also relates to processes for recovering butanol produced in a fermentative process in a butanol production plant that may be converted to ethanol production plant.

Abstract: A computing device uses a recursive discrete Fourier transform (RDFT) engine to reduce time required by a frequency transform module, memory required to hold intermediate products, and/or computing resources used for the testing. In an embodiment the windowing function is integrated and processed simultaneously with the recursive DFT funcions. A frequency-bin power module is configured to determine the frequency bin within the set of frequency bins that has a greatest signal power at various levels of recursion.

Abstract: The present invention relates to processes to remove butanol and other product alcohols from a fermentation broth employing vacuum vaporization.

Abstract: The present invention relates to processes for recovering butanol produced in a fermentative process using, for example, an ethanol production plant which has been reversibly-retrofitted for butanol production, that is, the ethanol production plant may be converted for butanol production, but can also revert to an ethanol production. The present invention also relates to processes for recovering butanol produced in a fermentative process in a butanol production plant that may be converted to ethanol production plant.

Abstract: A computing device uses a recursive discrete Fourier transform (RDFT) engine to reduce time required by a frequency transform module, memory required to hold intermediate products, and/or computing resources used for the testing. In an embodiment the windowing function is integrated and processed simultaneously with the recursive DFT funcions. A frequency-bin power module is configured to determine the frequency bin within the set of frequency bins that has a greatest signal power at various levels of recursion.

Abstract: An apparatus and a method for determining wear of a feedscrew and barrel combination includes measuring wear of the barrel using a gage plug in a measuring aperture in the barrel or an ultrasonic thickness gauge and measuring feedscrew wear with an eddy current sensor or a dial indicator mounted in the measuring aperture. A system gathers wear data from various production installations, analyzes the data to predict remaining life of the barrel and the feedscrew and generates an order for replacement parts to be manufactured and shipped just prior to the end of the remaining life.

Abstract: The invention provides a food packaging system that preferably includes a system for facilitating progressive or incremental delivery of individual, single-serving hand-held food items to the consumer, along with a carton for containing a plurality of the food items and associated delivery systems. The packaging system provides protection for the food items during packaging, shipping handling, retail display and consumer use, and also makes them readily accessible to the consumer, without requiring direct manual contact with the food item. The packaging system preferably includes a separate disposable delivery system for each food item.

Abstract: A flip flop (30) comprising a master stage (34) comprising a first plurality of transistors (54, 56), wherein each of the first plurality of transistors comprises a selective conductive path between a source and drain. The flip flop also comprises a slave stage (42) comprising a second plurality of transistors (60, 62, 64, 66), wherein each of the second plurality of transistors comprises a selective conductive path between a source and drain. For the flip flop, in a low power mode the flip flop is operable to receive a first voltage (VDD) coupled to the selective conductive path for each of the first plurality of transistors. Also in the low power mode, the flip flop is operable to receive a second voltage (VDDL) coupled to the selective conductive path for each of the second plurality of transistors. Lastly, the second voltage is greater than the first voltage in the low power mode.

Abstract: A flip flop (30) comprising a master stage (34) comprising a first plurality of transistors (54, 56), wherein each of the first plurality of transistors comprises a selective conductive path between a source and drain. The flip flop also comprises a slave stage (42) comprising a second plurality of transistors (60, 62, 64, 66), wherein each of the second plurality of transistors comprises a selective conductive path between a source and drain. For the flip flop, in a low power mode the flip flop is operable to receive a first voltage (VDD) coupled to the selective conductive path for each of the first plurality of transistors. Also in the low power mode, the flip flop is operable to receive a second voltage (VDDL) coupled to the selective conductive path for each of the second plurality of transistors. Lastly, the second voltage is greater than the first voltage in the low power mode.