Abstract: A shower assembly apparatus may include a main body that is removably installed in a bathtub. The main body includes a first mounting point and a second mounting point, separated by a spacing member. The main body includes an adjustable seat subassembly that may be interchangeably mounted at either the first or second mounting point. The adjustable seat assembly includes an adjustable-support tower and a seat attached thereto. The main body includes a handle subassembly that may be interchangeably mounted at either the first or second mounting point. The handle subassembly and the adjustable seat subassembly are configured such that the subassemblies are mounted at different mounting points of the main assembly, but may be changed between mounting points as needed. The spacing member of the main assembly may be positioned at a distal side of the bathtub relative to a bathtub entry point.

Abstract: A shower assembly apparatus may include a main body that is removably installed in a bathtub. The main body includes a first mounting point and a second mounting point, separated by a spacing member. The main body includes an adjustable seat subassembly that may be interchangeably mounted at either the first or second mounting point. The adjustable seat assembly includes an adjustable-support tower and a seat attached thereto. The main body includes a handle subassembly that may be interchangeably mounted at either the first or second mounting point. The handle subassembly and the adjustable seat subassembly are configured such that the subassemblies are mounted at different mounting points of the main assembly, but may be changed between mounting points as needed. The spacing member of the main assembly may be positioned at a distal side of the bathtub relative to a bathtub entry point.

Abstract: A learning system includes a non-transitory memory, and one or more hardware processors configured or programmed to read instructions from the non-transitory memory to cause the learning system to perform operations including generating a user knowledge mesh including generating topic nodes each corresponding to a topic included in the user knowledge mesh, and generating concept nodes each corresponding to a key learnable concept, wherein each of the topic nodes is connected to another one of the topic nodes, each of the concept nodes is connected to one of the topic nodes, and each of the key learnable concepts includes one or more interactions related to the key learnable concept.

Abstract: A tool for providing dynamic context-based presentation adjustments across one or more computer devices. The tool receives a presentation from at least one of a plurality of user devices. The tool collects real-time contextual data associated with the presentation from at least one of the plurality of user devices. The tool analyzes the real-time contextual data utilizing a training model. The tool determines one or more adjustment actions based, at least in part, on the analysis of the real-time contextual data. The tool modifies the presentation in real-time using the one or more adjustment actions.

Abstract: A system and a method for locally controlling delivery of electrical power along the distribution feeder by measuring certain electricity parameters of a distribution feeder line using a substation phasor measurement unit (PMU) electrically coupled to a substation distribution bus at a first node on the feeder line, and at least one customer site PMU electrically coupled to a low voltage end of a transformer at a customer site, wherein the transformer is coupled by a drop line to a second node on the distribution feeder line and the customer site is coupled by another drop line to the transformer, and by controlling at least one controllable reactive power resource and optionally a real power resource connected to the second node or at the customer site. Related apparatus, systems, articles, and techniques are also described.

Abstract: Methods, apparatus, and processor-readable storage media for automated alert augmentation for deployments of software-defined storage are provided herein. An example computer-implemented method includes obtaining an alert from at least one software-defined storage device; determining one or more items of additional information pertaining to one or more of the alert and the at least one software-defined storage device; augmenting the alert based at least in part on the one or more determined items of additional information; generating a modified version of the augmented alert by incorporating, into the augmented alert, dependency information pertaining to the at least one software-defined storage device and one or more additional software-defined storage devices; and performing one or more automated actions based at least in part on the modified version of the augmented alert.

Abstract: A method, computer system, and a computer program product for contextual transformation is provided. The present invention may include providing a source application for transformation. The present invention may include transforming at least one selection within the source application. The present invention may include communicating the at least one transformed selection to a target application.

Abstract: A method for drying to increase the useful life of botanicals and shorten the time to market after harvest of the botanicals. The method may include flash freezing the botanicals, at a desired optimal temperature range, soon after harvest. The method may include storing the frozen botanicals indefinitely prior to drying. The method may include drying the frozen botanicals using a lyophilizer at a desired optimal temperature and pressure.

Abstract: A pressurizable fluid container apparatus, system and method of use.

Abstract: A learning system includes a non-transitory memory, and one or more hardware processors configured or programmed to read instructions from the non-transitory memory to cause the learning system to perform operations including generating a user knowledge mesh including generating topic nodes each corresponding to a topic included in the user knowledge mesh, and generating concept nodes each corresponding to a key learnable concept, wherein each of the topic nodes is connected to another one of the topic nodes, each of the concept nodes is connected to one of the topic nodes, and each of the key learnable concepts includes one or more interactions related to the key learnable concept.

Abstract: A system and a method for locally controlling delivery of electrical power along the distribution feeder by measuring certain electricity parameters of a distribution feeder line using a substation phasor measurement unit (PMU) electrically coupled to a substation distribution bus at a first node on the feeder line, and at least one customer site PMU electrically coupled to a low voltage end of a transformer at a customer site, wherein the transformer is coupled by a drop line to a second node on the distribution feeder line and the customer site is coupled by another drop line to the transformer, and by controlling at least one controllable reactive power resource and optionally a real power resource connected to the second node or at the customer site. Related apparatus, systems, articles, and techniques are also described.

Abstract: A method for drying to increase the useful life of botanicals and shorten the time to market after harvest of the botanicals. The method may include flash freezing the botanicals, at a desired optimal temperature range, soon after harvest. The method may include storing the frozen botanicals indefinitely prior to drying. The method may include drying the frozen botanicals using a lyophilizer at a desired optimal temperature and pressure.

Abstract: A computer-implemented method, according to one embodiment, is used to creating customized templates and template recommendations. The computer-implemented method includes: extracting text content from user information which corresponds to a user, and using the text content extracted from the user information to generate feature vectors. The feature vectors are further used to form one or more clusters of existing user editions. For each of the one or more formed clusters, a tree structure is generated for each user edition in the cluster. Moreover, the tree structures in the cluster are combined into a merged tree structure. A customized template is generated for each of the one or more formed clusters using the respective merged tree structure, and at least one of the customized templates is recommended to the user based on the user information.

Abstract: A pressurizable fluid container apparatus, system and method of use.

Abstract: A learning system includes a non-transitory memory, and one or more hardware processors configured or programmed to read instructions from the non-transitory memory to cause the learning system to perform operations including generating a user knowledge mesh, wherein the operation of generating the user knowledge mesh includes generating a plurality of topic nodes, each of the plurality of topic nodes corresponding to a topic included in the user knowledge mesh, and generating a plurality of concept nodes, each of the plurality of concept nodes corresponding to a key learnable concept, wherein each of the plurality of topic nodes is connected to another one of the plurality of topic nodes, each of the plurality of concept nodes is connected to one of the plurality of topic nodes, and each of the plurality of key learnable concepts includes one or more interactions related to the key learnable concept.

Abstract: Methods, apparatus, and processor-readable storage media for policy-based automated generation of software-defined storage deployments are provided herein.

Abstract: A computer-implemented method of voice-to-text tagging for transcription of a human voice signal by one of an automatic speech recognition system, or a natural conversation, includes generating a speech-to-text verbal transcript of the verbal vocalizations of an audio signal at a verbal timestamp of the audio signal. A voice-to-text non-verbal transcript of the one or more non-verbal vocalizations of the audio signal is generated at a non-verbal timestamp of the audio signal. The non-verbal transcript and the verbal transcript are combined to generate an enhanced transcript.

Abstract: One embodiment provides a method including receiving authoring conversational training data. A machine learning based conversational agent is trained with the conversational training data. The training includes: creating and storing example transcripts of user utterances, creating and storing example transcripts of agent utterances, sequencing utterance transcripts using the example transcripts of user utterances and the example transcripts of agent utterances, forming a corpus from the sequenced utterance transcripts, marking speech patterns that represent social actions from tagging the sequenced utterance transcripts, and forming a patterned corpus from the marked speech patterns.

Abstract: A method for drying to increase the useful life of botanicals and shorten the time to market after harvest of the botanicals. The method may include flash freezing the botanicals, at a desired optimal temperature range, soon after harvest. The method may include storing the frozen botanicals indefinitely prior to drying. The method may include drying the frozen botanicals using a lyophilizer at a desired optimal temperature and pressure.

Abstract: Methods, apparatus, and processor-readable storage media for automated alert augmentation for deployments of software-defined storage are provided herein. An example computer-implemented method includes obtaining an alert from at least one software-defined storage device; determining one or more items of additional information pertaining to one or more of the alert and the at least one software-defined storage device; augmenting the alert based at least in part on the one or more determined items of additional information; generating a modified version of the augmented alert by incorporating, into the augmented alert, dependency information pertaining to the at least one software-defined storage device and one or more additional software-defined storage devices; and performing one or more automated actions based at least in part on the modified version of the augmented alert.