Abstract: A marine drive is for propelling a vessel in body of water. The marine drive has a powerhead, a crankcase on the powerhead, and a cooling system that pumps a first flow of cooling water from the body of water through a powerhead cooling conduit for cooling the powerhead and in parallel pumps a second flow of cooling water from the body of water through a crankcase cooler for cooling the crankcase and lubricant in the crankcase. A valve controls the second flow of the cooling water to the crankcase cooler. The valve is normally positioned in a closed position, which inhibits the second flow of cooling water to the crankcase cooler and thereby reduces condensation of water from the lubricant in the crankcase. The valve is moved into an open position upon operation of the powerhead at or above a threshold speed, which permits the second flow of cooling water to the crankcase cooler and thereby cools the lubricant in the crankcase.

Abstract: A series of a plurality of articles includes a panel strip and a plurality of elastic fastening loops. The panel strip includes a plurality of ruptureably-connected panel portions of the plurality of articles. Each of the plurality of elastic fastening loops is secured to a respective panel portion at a bond zone.

Abstract: The present invention comprises novel methods of continuously monitoring the performance of an atmospheric pressure ionization (API) system. The methods of the invention allow for improved quality monitoring of the processes that leads to the formation of ions at atmospheric pressure. The methods of the invention further allow for continuously monitoring for the quality of the ion formation process in API without the addition of extraneous material (such as labelled compounds or control known compounds) to the system being monitored.

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: 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 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: Inserts disposed in a housing of a pneumatically or hydraulically powered tool having a motor adapted to rotate a drive lug in either of first and second rotational directions. The insert is composed of a material resistive to creep and/or stress relaxation. The insert contacts fasteners applying a clamping force to the tool and remove the housing from the load path of the clamping force, thereby reducing the possibility of fluid leaks.

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 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: 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: 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: Materials and methods for preparing thick, mesoporous silica monolithic slabs and coatings with high transparency and low thermal conductivity are provided. The transparent silica materials are particularly suited for window or solar applications including insulation barriers for existing or new single, double pane windows or glass panel building components. The template-free, water-based sol-gel methods produce slabs or coatings by gelation of a colloidal suspension of silica or other oxide nanoparticles or by ambigel formation and then ageing and drying the gels under ambient conditions. Solvent exchanges with nonpolar, low-surface-tension solvents help to avoid cracking caused by drying stress. Mesoporous slabs can also be cast in molds on perfluorocarbon liquid substrates to reduce adhesion and enable gels to shrink freely during aging and drying without incurring significant stress that could cause fracture.

Abstract: The present invention comprises novel methods of continuously monitoring the performance of an atmospheric pressure ionization (API) system. The methods of the invention allow for improved quality monitoring of the processes that leads to the formation of ions at atmospheric pressure. The methods of the invention further allow for continuously monitoring for the quality of the ion formation process in API without the addition of extraneous material (such as labelled compounds or control known compounds) to the system being monitored.

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, methods, and apparatuses are presented for a novel natural language tokenizer and tagger. In some embodiments, a method for tokenizing text for natural language processing comprises: generating from a pool of documents, a set of statistical models comprising one or more entries each indicating a likelihood of appearance of a character/letter sequence in the pool of documents; receiving a set of rules comprising rules that identify character/letter sequences as valid tokens; transforming one or more entries in the statistical models into new rules that are added to the set of rules when the entries indicate a high likelihood; receiving a document to be processed; dividing the document to be processed into tokens based on the set of statistical models and the set of rules, wherein the statistical models are applied where the rules fail to unambiguously tokenize the document; and outputting the divided tokens for natural language processing.

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: 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: 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.