Abstract: The termite bait station is screwed into earth via external screw threads. A cylinder chamber holds a bait stick and slots expose the bait to the earth. The cylinder has external outboard threads. The cylinder's top has a ring with an interlock system which is complementary to an interlock system on a collar region of a detachable handle. The detachable handle and lateral handle hold permits the user, upon handle rotation in one direction to be implanted in the earth and upon handle rotation in another direction to be extracted from the earth. Interlocking systems include keys interlockable with keyways; outboard configured depending legs coacting with respective detents; and inboard configured depending legs coacting with respective detents.

Abstract: Methods and systems are provided for blockchain-based social media commerce referral tracking system (BRTS). In one novel aspect, the blockchain is used to support traceability and transparency for the referral tracking system that monitors transactions of one or more user generated contents (UGCs) with one or more actionable items. Traceability and transparency foster trust among participants. In one embodiment, the BRTS tracks transactions of a UGC, updates a UGC record upon detecting one or more predefined transactions at a receiving node, detects one or more exit transactions at an ending node, and adds a UGC tuple of transactions from the originator node to the ending node based on the UGC record to a blockchain database upon detecting the one or more exit conditions. In another embodiment, the UGC record is updated using a recursive push procedure. In one embodiment, the BRTS generates one or more referral rewards for each UGC tuple record based on a configured rewarding scheme.

Abstract: The present disclosure provides an optical waveguide design of a fiber modified with a thin layer of epsilon-near-zero (ENZ) material. The design results in an excitation of a highly confined waveguide mode in the fiber near the wavelength where permittivity of thin layer approaches zero. Due to the high field confinement within thin layer, the ENZ mode can be characterized by a peak in modal loss of the hybrid waveguide. Results show that such in-fiber excitation of ENZ mode is due to the coupling of the guided fundamental core mode to the thin-film ENZ mode. The phase matching wavelength, where the coupling takes place, varies depending on the refractive index of the constituents. These ENZ nanostructured optical fibers have many potential applications, for example, in ENZ nonlinear and magneto-optics, as in-fiber wavelength-dependent filters, and as subwavelength fluid channel for optical and bio-photonic sensing.

Abstract: The present disclosure provides devices, systems, circuits, and effective methods for advanced optical applications using plasmonics and ENZ materials. The disclosure provides for enhancement of the optical tunability of phase and amplitude of propagating plasmons, nonlinear-optical effects, and resonant network in optical fiber tip nanocircuits and integrates the tunable plasmonic and ENZ effects for in-fiber applications to provide optical fiber with high operating speed and low power consumption. The invention yields efficient coupling of a plasmonic functional nanocircuit on the facet of an optical fiber core. The invention also can use gate-tunable ENZ materials to electrically and nonlinear optically tune the plasmonic nanocircuits for advanced light manipulation. The invention efficiently integrates and manipulates the voltage-tuned ENZ resonance for phase and amplitude modulation in optical fiber nanocircuits.

Abstract: A body of knowledge (BOK) in graphical structure is generated with a set of knowlets. The graphical BOK enables the platform to write up test questions with a RNN NLP writing system in runtime to support the adaptive recruitment process. In one embodiment, the system identifies a BOK with a graphical structure with a set of knowlets. Each knowlet represents a subset of knowledge within the BOK. The system identifies a set of intensional knowlets for the BOK, collects a set of extensional knowlets for the BOK, wherein an extensional knowlet represents the instantiation of an intensional knowlet, generates a BOK graph for the BOK with based on the set of intensional knowlets and the set of the extensional knowlets with each knowlet being a node of the BOK graph, wherein ontologies among knowlet nodes are generated, and generates a list of test questions based on the BOK graph.

Abstract: The disclosed apparatus may include support portions, a frame (such as a base) configured to maintain the support portions in a spaced-apart configuration, a sample holder configured to receive a sample, and a probe assembly including micromanipulators configured to position one or more probes in contact with the sample. The sample holder may rotate between the support portions, and the probe assembly may rotate with the sample holder so that the one or more probes may maintain contact with a sample in the sample holder as the sample holder is rotated, for example, to expose a portion of the sample for processing. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: Methods and systems are provided for AI-based robotic automation for persuasive references. In one novel aspect, a robotic persuasive reference is generated based on a prospect product-service (P_PS) matrix, which is generated based on predictive analysis using DNN model and dynamically obtained feedbacks. In one embodiment, the DNN model is trained with customer personal profiles against associated PS revenues for each customer data set. In one embodiment, the predictive analysis uses a decision tree classifier. In one embodiment, the computer system detects one or more predefined triggering events comprising feedback information for the robotic persuasive reference and one or more predefined lifetime events, updates the P_PS matrix based and the robotic persuasive reference accordingly. In one embodiment, the feedback information is a sentiment analysis on responses from the prospect.

Abstract: A method of monitoring one or more manufacturing components includes clustering vibration data associated with the one or more manufacturing components to generate a plurality of clusters, determining a vibration characteristic of the one or more manufacturing components based on the plurality of clusters, comparing auxiliary data associated with the one or more manufacturing components and an auxiliary data prediction model associated with the one or more manufacturing components, and determining an auxiliary characteristic of the one or more manufacturing components based on a comparison of the auxiliary data associated and the auxiliary data prediction model. The method includes determining a state of the one or more manufacturing components based on the vibration characteristic and the auxiliary characteristic and broadcasting a notification based on the state.

Abstract: The present disclosure provides devices, systems, circuits, and effective methods for advanced optical applications using plasmonics and ENZ materials. The disclosure provides for enhancement of the optical tunability of phase and amplitude of propagating plasmons, nonlinear-optical effects, and resonant network in optical fiber tip nanocircuits and integrates the tunable plasmonic and ENZ effects for in-fiber applications to provide optical fiber with high operating speed and low power consumption. The invention yields efficient coupling of a plasmonic functional nanocircuit on the facet of an optical fiber core. The invention also can use gate-tunable ENZ materials to electrically and nonlinear optically tune the plasmonic nanocircuits for advanced light manipulation. The invention efficiently integrates and manipulates the voltage-tuned ENZ resonance for phase and amplitude modulation in optical fiber nanocircuits.

Abstract: Methods and systems are provided for blockchain-based social media commerce referral tracking system (BRTS). In one novel aspect, the blockchain is used to support traceability and transparency for the referral tracking system that monitors transactions of one or more user generated contents (UGCs) with one or more actionable items. Traceability and transparency foster trust among participants. In one embodiment, the BRTS tracks transactions of a UGC, updates a UGC record upon detecting one or more predefined transactions at a receiving node, detects one or more exit transactions at an ending node, and adds a UGC tuple of transactions from the originator node to the ending node based on the UGC record to a blockchain database upon detecting the one or more exit conditions. In another embodiment, the UGC record is updated using a recursive push procedure. In one embodiment, the BRTS generates one or more referral rewards for each UGC tuple record based on a configured rewarding scheme.

Abstract: A method for performing property surveillance via an unmanned aerial vehicle is provided. Surveillance of one or more properties via an unmanned aerial vehicle is obtained. A geofence that determines boundaries of one of the properties is created using the surveillance. Surveillance outside the geofence for the property is blurred. The blurred surveillance is provided to an owner of that property.

Abstract: The present disclosure provides an optical waveguide design of a fiber modified with a thin layer of epsilon-near-zero (ENZ) material. The design results in an excitation of a highly confined waveguide mode in the fiber near the wavelength where permittivity of thin layer approaches zero. Due to the high field confinement within thin layer, the ENZ mode can be characterized by a peak in modal loss of the hybrid waveguide. Results show that such in-fiber excitation of ENZ mode is due to the coupling of the guided fundamental core mode to the thin-film ENZ mode. The phase matching wavelength, where the coupling takes place, varies depending on the refractive index of the constituents. These ENZ nanostructured optical fibers have many potential applications, for example, in ENZ nonlinear and magneto-optics, as in-fiber wavelength-dependent filters, and as subwavelength fluid channel for optical and bio-photonic sensing.

Abstract: Methods and systems are provided for blockchain-based social media commerce referral tracking system (BRTS). In one novel aspect, the blockchain is used to support traceability and transparency for the referral tracking system that monitors transactions of one or more user generated contents (UGCs) with one or more actionable items. Traceability and transparency foster trust among participants. In one embodiment, the BRTS tracks transactions of a UGC, updates a UGC record upon detecting one or more predefined transactions at a receiving node, detects one or more exit transactions at an ending node, and adds a UGC tuple of transactions from the originator node to the ending node based on the UGC record to a blockchain database upon detecting the one or more exit conditions. In another embodiment, the UGC record is updated using a recursive push procedure. In one embodiment, the BRTS generates one or more referral rewards for each UGC tuple record based on a configured rewarding scheme.

Abstract: Customer lifetime value (CLV)-base deep learning ensemble model for customer classification and multi-entity matching strategies is provided. In one novel aspect, the customer lifetime value (CLV)-base deep learning model (DNN) uses data mining and an ensemble of the recurrent neural network (RNN)-convolutional neural network (CNN) to identify potential prospects from lead generation, predicts churn/retention, predicts the next purchase, recommend strategies to keep and enhance existing customer relationships, and offer n-ary matching among prospects/customers, agents, products, and delivery strategies. In one embodiment, the CLV system obtains a CLV profile of a customer, generates, a CLV-based output for the customer using a DNN model, selects a n-ary matching for the customer based on the CLV-based output, and collects a feedback for the n-ary matching to update the n-nary matching until one or more exit conditions are met.

Abstract: Methods and systems are provided for blockchain-based social media commerce referral tracking system (BRTS). In one novel aspect, the blockchain is used to support traceability and transparency for the referral tracking system that monitors transactions of one or more user generated contents (UGCs) with one or more actionable items. Traceability and transparency foster trust among participants. In one embodiment, the BRTS tracks transactions of a UGC, updates a UGC record upon detecting one or more predefined transactions at a receiving node, detects one or more exit transactions at an ending node, and adds a UGC tuple of transactions from the originator node to the ending node based on the UGC record to a blockchain database upon detecting the one or more exit conditions. In another embodiment, the UGC record is updated using a recursive push procedure. In one embodiment, the BRTS generates one or more referral rewards for each UGC tuple record based on a configured rewarding scheme.

Abstract: Methods and systems are provided for blockchain-based credential vault system (CVS). In one novel aspect, the CVS identifies a set of credential of a trustor, verifies each credential, and stores the verified credentials to a CVS blockchain database such that the authorized beneficiary can obtain the trustor credentials from the CVS. In one embodiment, the CVS authenticates a trustor request from a trustor, wherein a trustor record in the CVS is uniquely identified by a trustor identification in a blockchain-based database of the CVS, processes submission from the authenticated trustor to generate a set of canonical credentials using a recurrent neural network (RNN) model, performs credential verification for each generated canonical credential in the authenticated trustor submission, and appends each verified canonical credential to the trustor record in the blockchain-based database of the CVS.

Abstract: Methods and systems are provided for the AI-based computer-aided persuasion system (CAPS). The CAPS obtains inputs from both the target and the agent for an object, dynamically generates persuasion references based on analysis of the input. The CAPS obtains content output by analyzing the agent audio stream and the target audio stream using a recurrent network (RNN) model, obtains sentiment classifiers based on a convolutional neural network (CNN LSTM) model, updates a conversation matrix, and generates a persuasion reference based on the updated conversation matrix. The persuasion reference is based on an acceptance likelihood result generated from the conversation matrix using the RNN model. The CAPS further generates a target profile using DNN (deep neural net) with input of target Big Data, wherein the target profile includes one or more objects, and wherein the agent is selected based on the generated profile and one or more selected objects.

Abstract: Methods and systems are provided for adaptive recruitment computer system. In one novel aspect, the adaptive recruitment computer system generates a question bank based on a job description, selects adaptively questions from the question bank for an interview, and generates a feedback report for the candidate based on the evaluation of the candidate's answer. In one embodiment, the computer system categorizes a job requirement based on a body of knowledge (BOK) skill knowledge base, generates a question bank, selects adaptively a subset of questions from the generated question bank, wherein each question selected is based on evaluations of candidate's answers to corresponding prior questions using a recurrent neural network (RNN) model, and generates a feedback report for the candidate, wherein the feedback report using the RNN model based on evaluations of answers and a BOK candidate knowledge base, wherein the BOK candidate knowledge base receives updates from the computer system.

Abstract: Methods and systems are provided for AI-based robotic automation for persuasive references. In one novel aspect, a robotic persuasive reference is generated based on a prospect product-service (P_PS) matrix, which is generated based on predictive analysis using DNN model and dynamically obtained feedbacks. In one embodiment, the DNN model is trained with customer personal profiles against associated PS revenues for each customer data set. In one embodiment, the predictive analysis uses a decision tree classifier. In one embodiment, the computer system detects one or more predefined triggering events comprising feedback information for the robotic persuasive reference and one or more predefined lifetime events, updates the P_PS matrix based and the robotic persuasive reference accordingly. In one embodiment, the feedback information is a sentiment analysis on responses from the prospect.