Abstract: A power tool that includes a tool body housing, a drive system, a tool head and a connection system. The drive system is housed in the tool body housing. The tool head, which is configured to perform work on a work piece, includes a tool head housing and an input member that is driven by the drive system when the tool head is coupled to the tool body housing. The tool head can be engaged to the tool body housing in at least two pre-defined and distinct orientations. The connection system secures the tool head to the tool body housing in each of the at least two pre-defined and distinct orientations.

Abstract: A linear series of connected unitary sheet-like articles, each of which comprises a panel flatly conjoined along a unifying flat bond zone with a flexible elastic layer that extends away from the panel and includes an elastic fastening loop. Adjacent articles of the series are ruptureably connected in a manner permitting the series to be handled as a unit while at the same time permitting ruptureable separation of individual articles from the series. In one embodiment, the linear series is wound into roll form.

Abstract: A linear series of connected unitary sheet-like articles, each of which comprises a panel flatly conjoined along a unifying flat bond zone with a flexible elastic layer that extends away from the panel and includes an elastic fastening loop. Adjacent articles of the series are ruptureably connected in a manner permitting the series to be handled as a unit while at the same time permitting ruptureable separation of individual articles from the series. In one embodiment, the linear series is wound into roll form.

Abstract: Methods, apparatuses and computer readable medium are presented for generating a natural language model. A method for generating a natural language model comprises: selecting from a pool of documents, a first set of documents to be annotated; receiving annotations of the first set of documents elicited by first human readable prompts; training a natural language model using the annotated first set of documents; determining documents in the pool having uncertain natural language processing results according to the trained natural language model and/or the received annotations; selecting from the pool of documents, a second set of documents to be annotated comprising documents having uncertain natural language processing results; receiving annotations of the second set of documents elicited by second human readable prompts; and retraining a natural language model using the annotated second set of documents.

Abstract: A battery pack includes an array frame having a fastener housing, a mounting insert positioned within the fastener housing, and a column bolt extending through the mounting insert. The mounting insert may be secured to a battery pack enclosure structure using one or more fasteners.

Abstract: A system having a concealed communications element like a telecommunication antenna is described. More specifically, The system has a communications element that is concealed by a highly reflective multilayer polymer optical film 200. The first element of the multilayer polymer optical film is a core layer 202 that is made up of a multilayer optical stack. The multilayer optical stack of core layer 202 includes two alternating polymeric layers. The multilayer polymer optical film may optionally also include a protective layer 204 (for example, a hardcoat or an over laminate) that is positioned between the viewer and the core layer. The protective layer 204 may include one or more UV absorbers to aid in durability of the multilayer polymer optical film against UV-degradation. Multilayer polymer optical film 200 may optionally also include an adhesive layer 208 that is positioned between the core layer 202 and a surface onto which the multilayer polymer optical film is to be adhered.

Abstract: In an example method, a mobile device connects a voice call for a user. The voice call causes one or more radio frequency transmitters of the mobile device to transmit radio waves at a first power level. Motion data describing movement of the mobile device is obtained, and the orientation of the mobile device is determined based on the motion data. A determination whether the mobile device is on the user's body or on an inanimate object is made based on the orientation of the mobile device over the period of time. The transmit power level is adjusted based on the determination.

Abstract: Methods, apparatuses and computer readable medium are presented for generating a natural language model. A method for generating a natural language model comprises: receiving more than one annotation of a document; calculating a level of agreement among the received annotations; determining that a criterion among a first criterion, a second criterion, and a third criterion is satisfied based at least in part on the level of agreement; determining an aggregated annotation representing an aggregation of information in the received annotations and training a natural language model using the aggregated annotation, when the first criterion is satisfied; generating at least one human readable prompt configured to receive additional annotations of the document, when the second criterion is satisfied; and discarding the received annotations from use in training the natural language model, when the third criterion is satisfied.

Abstract: Multi-radio wireless network devices are capable of transmitting and/or receiving data from multiple radiofrequency (RF) networks at different bands. Total transmission power limitations may be in place due to, for example, safety reasons. As a result, active management of transmission power may be performed during simultaneous transmission in different bands and/or networks. In some embodiments, the management may take place on group-by-group basis and a network-by-network basis. Antennas may be grouped based on their relative positions and impact on radiation emitted by the devices.

Abstract: Systems are presented for generating a natural language model. The system may comprise a database module, an application program interface (API) module, a background processing module, and an applications module, each stored on the at least one memory and executable by the at least one processor. The system may be configured to generate the natural language model by: ingesting training data, generating a hierarchical data structure, selecting a plurality of documents among the training data to be annotated, generating an annotation prompt for each document configured to elicit an annotation about said document, receiving the annotation based on the annotation prompt, and generating the natural language model using an adaptive machine learning process configured to determine patterns among the annotations for how the documents in the training data are to be subdivided according to the at least two topical nodes of the hierarchical data structure.

Abstract: The present disclosure is directed towards systems and methods for using a software as a service (“SaaS”) product. The systems and methods request, in response to receiving a request to purchase a software as a service product, a user identifier. Additionally, in response to receiving the user identifier, the systems and methods enable a completed purchase of the SaaS product with a provisional account associated with the user identifier. Furthermore, the systems and methods prevent use of the software as a service product through the provisional account and, in response to a completed purchase of the software as a service product, request a creation of a user credential. Upon receiving the user credential, the systems and methods convert the provisional account into a permanent account associated with the user identifier and user credential and enable use of the SaaS product through the permanent account.

Abstract: A linear series of connected unitary sheet-like merchandise labeling articles, each of which comprises a labeling tag flatly cojoined along a unifying flat bond zone with a flexible elastic layer that extends away from the tag and includes an elastic fastening loop. Adjacent labeling articles of the series are ruptureably connected in a manner permitting the series to be handled as a unit while at the same time permitting ruptureable separation of individual merchandise labeling articles from the series. In one embodiment, the linear series is wound into roll form.

Abstract: Systems, methods, and apparatuses are presented for a trained language model to be stored in an efficient manner such that the trained language model may be utilized in virtually any computing device to conduct natural language processing. Unlike other natural language processing engines that may be computationally intensive to the point of being capable of running only on high performance machines, the organization of the natural language models according to the present disclosures allows for natural language processing to be performed even on smaller devices, such as mobile devices.

Abstract: Methods, apparatuses, and systems are presented for generating natural language models using a novel system architecture for feature extraction. A method for extracting features for natural language processing comprises: accessing one or more tokens generated from a document to be processed; receiving one or more feature types defined by user; receiving selection of one or more feature types from a plurality of system-defined and user-defined feature types, wherein each feature type comprises one or more rules for generating features; receiving one or more parameters for the selected feature types, wherein the one or more rules for generating features are defined at least in part by the parameters; generating features associated with the document to be processed based on the selected feature types and the received parameters; and outputting the generated features in a format common among all feature types.

Abstract: The present invention relates to devices for preventing fatal bathroom accidents relating to drowning. Accordingly, in a first preferred embodiment, the present invention provides a bath plug device for closing a drain pipe of a bath tub, comprising a bath plug, a cone attached to the top of the bath plug, and at least one pedal-like unit attached to the left and/or to the right of the cone.

Abstract: Methods and systems are disclosed for creating and linking a series of interfaces configured to display information and receive confirmation of classifications made by a natural language modeling engine to improve organization of a collection of documents into an hierarchical structure. In some embodiments, the interfaces may display to an annotator a plurality of labels of potential classifications for a document as identified by a natural language modeling engine, collect annotated responses from the annotator, aggregate the annotated responses across other annotators, analyze the accuracy of the natural language modeling engine based on the aggregated annotated responses, and predict accuracies of the natural language modeling engine's classifications of the documents.

Abstract: A repeater device comprises a periodic array of alternating metallic phase shifting elements, the array being periodic in at least one axis, formed on a first surface of a dielectric substrate, with an opposite surface of the dielectric substrate having a ground plane formed thereon, wherein each phase shifting element provides from 0° to 360° phase shifting in the microwave frequency range. The repeater device can be utilized in a microwave network.

Abstract: Methods, apparatuses and computer readable medium are presented for generating a natural language model. A method for generating a natural language model comprises: receiving more than one annotation of a document; calculating a level of agreement among the received annotations; determining that a criterion among a first criterion, a second criterion, and a third criterion is satisfied based at least in part on the level of agreement; determining an aggregated annotation representing an aggregation of information in the received annotations and training a natural language model using the aggregated annotation, when the first criterion is satisfied; generating at least one human readable prompt configured to receive additional annotations of the document, when the second criterion is satisfied; and discarding the received annotations from use in training the natural language model, when the third criterion is satisfied.

Abstract: Methods are presented for generating a natural language model. The method may comprise: ingesting training data representative of documents to be analyzed by the natural language model, generating a hierarchical data structure comprising at least two topical nodes within which the training data is to be subdivided into by the natural language model, selecting a plurality of documents among the training data to be annotated, generating an annotation prompt for each document configured to elicit an annotation about said document indicating which node among the at least two topical nodes said document is to be classified into, receiving the annotation based on the annotation prompt; and generating the natural language model using an adaptive machine learning process configured to determine patterns among the annotations for how the documents in the training data are to be subdivided according to the at least two topical nodes of the hierarchical data structure.

Abstract: A linear series of connected unitary sheet-like merchandise labeling articles, each of which comprises a labeling tag flatly cojoined along a unifying flat bond zone with a flexible elastic layer that extends away from the tag and includes an elastic fastening loop. Adjacent labeling articles of the series are ruptureably connected in a manner permitting the series to be handled as a unit while at the same time permitting ruptureable separation of individual merchandise labeling articles from the series. In one embodiment, the linear series is wound into roll form.