Abstract: A ladder rack system may have a slide with a support flange and a spanning flange. The system may also have a ladder support member adapted to selectively receive a portion of the support flange therein. The system may also have a pivot bracket pivotally connected to the ladder support member. The pivot bracket may be adapted to selectively move the ladder support member.

Abstract: Aspect pre-selection techniques using machine learning are described. In one example, an artificial assistant system is configured to implement a chat bot. A user then engages in a first natural-language conversation. As part of this first natural-language conversation, a communication is generated by the chat bot to prompt the user to specify an aspect of a category that is a subject of a first natural-language conversation and user data is received in response. Data that describes this first natural-language conversation is used to train a model using machine learning. Data is then received by the chat bot as part of a second natural-language conversation. This data, from the second natural-language conversation, is processed using the model as part of machine learning to generate the second search query to include the aspect of the category automatically and without user intervention.

Abstract: Aspect pre-selection techniques using machine learning are described. In one example, an artificial assistant system is configured to implement a chat bot. A user then engages in a first natural-language conversation. As part of this first natural-language conversation, a communication is generated by the chat bot to prompt the user to specify an aspect of a category that is a subject of a first natural-language conversation and user data is received in response. Data that describes this first natural-language conversation is used to train a model using machine learning. Data, is then be received by the chat bot as part of a second natural-language conversation. This data, from the second natural-language conversation, is processed using the model as part of machine learning to generate the second search query to include the aspect of the category automatically and without user intervention.

Abstract: A formulation for forming a styrene-based scintillator using light-directed additive manufacturing techniques includes a base monomer, a primary dye, a secondary dye, and a cationic photoinitiator. The base monomer includes one or more styrene-derivative monomers.

Abstract: A product includes a three-dimensional structure having a plurality of sequentially-formed layers comprised of liquid crystal elastomers. The liquid crystal elastomers in a portion of a first of the layers are substantially aligned in a predefined first orientation and the liquid crystal elastomers in a portion of a second of the layers are substantially aligned in a predefined second orientation that is different than the first orientation. Each of the portions of the three-dimensional structure is characterized as exhibiting a shape change in response to a stimulus, wherein the shape change is reversible. The product includes a contiguous region of aligned liquid crystal elastomers in one of the portions having a maximum dimension of less than 60 microns.

Abstract: Methods, systems, and computer programs are presented for searching and labeling the content of voice conversations. An Engagement Intelligence Platform (EIP) analyzes conversation transcripts to find states and information for each of the states (e.g., interest rate quoted and value of the interest rate). An annotator User Interface (IU) is provided for performing queries, such as, “Find calls were the agent asked the customer for their name and the customer did not answer;” “Find calls where the customer objected after the interest rate for the loan was quoted, “Find calls where the agent asked for consent for recording the call, but no customer confirmation was received.” The EIP analyzes the conversation and labels (e.g., “tags”) the text where the conversation associated with the label took place, such as, “An interest rate was provided.” The labels are customizable, so each client can define its own labels based on business needs.

Abstract: A method of forming a three-dimensional structure of liquid crystal (LC) elastomers includes contacting a resin layer of LC oligomers with a layer of photoalignment material, and exposing a portion of photoalignment material to light for aligning the portion of photoalignment material in a first orientation. The LC oligomers adjacent the illuminated portion of photoalignment material align to the first orientation of the illuminated portion. The portion of aligned LC oligomers of the resin layer are cured. Operations for forming additional layers include creating a relative movement of the resin layer away from the photoalignment material, contacting another resin layer with the photoalignment material, and exposing another portion of photoalignment material to light for aligning the photoalignment material in a different orientation.

Abstract: Methods, systems, and computer programs are presented for searching and labeling the content of voice conversations. An Engagement Intelligence Platform (EIP) analyzes conversation transcripts to find states and information for each of the states (e.g., interest rate quoted and value of the interest rate). An annotator User Interface (IU) is provided for performing queries, such as, “Find calls were the agent asked the customer for their name and the customer did not answer;” “Find calls where the customer objected after the interest rate for the loan was quoted, “Find calls where the agent asked for consent for recording the call, but no customer confirmation was received.” The EIP analyzes the conversation and labels (e.g., “tags”) the text where the conversation associated with the label took place, such as, “An interest rate was provided.” The labels are customizable, so each client can define its own labels based on business needs.

Abstract: A method of forming a three-dimensional structure includes forming a layer of resin comprising liquid crystal oligomers and a photoinitiator, applying a magnetic field to the formed layer in a predefined alignment direction for substantially aligning the liquid crystal oligomers in a first orientation; and exposing the formed layer to radiation for curing a first portion of the layer during application of the magnetic field thereby resulting in the first portion having liquid crystal elastomers substantially aligned in the first orientation. The method includes applying a second magnetic field to the formed layer in a predefined second alignment direction for substantially aligning uncured liquid crystal oligomers in a second orientation, and exposing the layer to radiation for curing a second portion of the layer during application of the second magnetic field thereby resulting in the second portion having liquid crystal elastomers substantially aligned in the second orientation.

Abstract: Fabrication of functional polymer-based particles by crosslinking UV-curable polymer drops in mid-air and collecting crosslinked particles in a solid container, a liquid suspension, or an air flow. The particles can contain different phases in the form or layered structures that contain one to multiple cores, or structures that are blended with dissolved or emulsified smaller domains. A curing system produces ultraviolet rays that are directed onto the particles in the jet stream from one side. A reflector positioned on other side of the jet stream reflects the ultraviolet rays back onto the particles in the jet stream.

Abstract: A triboelectric device artificial air gap between the two materials to create the voltage potential. A method of using a flexible, compressive material as a spacer to create an artificial air gap that will allow the two materials to transfer electrons and provide a restorative force to separate the two materials when pressed together. The result is a device that does not require an air gap to generate a voltage potential, which in turn reduces the necessary footprint of the triboelectric device to a thin film and improves its mechanical robustness and lifetime.

Abstract: Methods, systems, and computer programs are presented for searching and labeling the content of voice conversations. An Engagement Intelligence Platform (EIP) analyzes conversation transcripts to find states and information for each of the states (e.g., interest rate quoted and value of the interest rate). An annotator User Interface (IU) is provided for performing queries, such as, “Find calls were the agent asked the customer for their name and the customer did not answer;” “Find calls where the customer objected after the interest rate for the loan was quoted, “Find calls where the agent asked for consent for recording the call, but no customer confirmation was received.” The EIP analyzes the conversation and labels (e.g., “tags”) the text where the conversation associated with the label took place, such as, “An interest rate was provided.” The labels are customizable, so each client can define its own labels based on business needs.

Abstract: Directionally dependent optical effects are produced from faceted micrometer-scale substructures. The directionally dependent optical effects can appear as one specific color when viewed from one direction and another specific color when flipped and viewed from the opposing direction. The directionally dependent optical effects may appear reflective or transmissive from one direction and antireflective or opaque when flipped around.

Abstract: Fabrication of functional polymer-based particles by crosslinking UV-curable polymer drops in mid-air and collecting crosslinked particles in a solid container, a liquid suspension, or an air flow. The particles can contain different phases in the form or layered structures that contain one to multiple cores, or structures that are blended with dissolved or emulsified smaller domains. A curing system produces ultraviolet rays that are directed onto the particles in the jet stream from one side. A reflector positioned on other side of the jet stream reflects the ultraviolet rays back onto the particles in the jet stream.

Abstract: Aspect pre-selection techniques using machine learning are described. In one example, an artificial assistant system is configured to implement a chat bot. A user then engages in a first natural-language conversation. As part of this first natural-language conversation, a communication is generated by the chat bot to prompt the user to specify an aspect of a category that is a subject of a first natural-language conversation and user data is received in response. Data that describes this first natural-language conversation is used to train a model using machine learning. Data, is then be received by the chat bot as part of a second natural-language conversation. This data, from the second natural-language conversation, is processed using the model as part of machine learning to generate the second search query to include the aspect of the category automatically and without user intervention.

Abstract: Fabrication of functional polymer-based particles by crosslinking UV-curable polymer drops in mid-air and collecting crosslinked particles in a solid container, a liquid suspension, or an air flow. The particles can contain different phases in the form or layered structures that contain one to multiple cores, or structures that are blended with dissolved or emulsified smaller domains. A curing system produces ultraviolet rays that are directed onto the particles in the jet stream from one side. A reflector positioned on other side of the jet stream reflects the ultraviolet rays back onto the particles in the jet stream.

Abstract: An ink for forming a scintillator product includes a phenylated siloxane polymer having at least one functional group per molecule for crosslinking, a filler having a refractive index about matching a refractive index of the phenylated siloxane polymer, where the refractive indices are within about 5% of one another, a rheology modifier, and at least one fluorescent dye.

Abstract: Aspect pre-selection techniques using machine learning are described. In one example, an artificial assistant system is configured to implement a chat bot. A user then engages in a first natural-language conversation. As part of this first natural-language conversation, a communication is generated by the chat bot to prompt the user to specify an aspect of a category that is a subject of a first natural-language conversation and user data is received in response. Data that describes this first natural-language conversation is used to train a model using machine learning. Data, is then be received by the chat bot as part of a second natural-language conversation. This data, from the second natural-language conversation, is processed using the model as part of machine learning to generate the second search query to include the aspect of the category automatically and without user intervention.

Abstract: A method includes acquiring particles doped with at least one analyte and forming a monolithic reference material. The method includes forming includes using the analyte-doped particles as feedstock particles in an additive manufacturing process. A product includes a monolithic reference material formed of Stober particles doped with a trace element. A method includes acquiring particles doped with platinum group elements (PGEs). The method includes forming a monolithic reference material using the PGE-doped particles as feedstock particles in an additive manufacturing process.

Abstract: According to one aspect of an inventive concept, a pre-polymer matrix formulation for a polymer dispersed liquid crystal (PDLC) display includes a monofunctional monomer, a trifunctional oligomer, and a trifunctional monomer. According to another aspect of an inventive concept, a product includes a PDLC display formulation comprising a polymer matrix having a plurality of liquid crystal (LC) domains dispersed therein, wherein the polymer matrix comprises a polymerized product of a monofunctional monomer, a trifunctional oligomer, and a trifunctional monomer, and a pair of electrodes having the PDLC display formulation positioned therebetween. The PDLC display formulation is characterized as having a substantially constant optical transparency during application of a low power direct current (DC) electromagnetic field between the electrodes for a predefined duration of time.