Abstract: A tile saw includes a saw with a cutting blade, a frame supporting the saw, a table supporting a workpiece and being slidable relative to the frame, and a rear fence secured to the table. The rear fence has an engagement surface and is adjustable between an operating position and a bypassed position. The bypassed position includes the engagement surface of the fence being no higher than even with the planar surface of the table to allow a workpiece to extend beyond a rear edge of the table. In the operating position, the engagement surface of the rear fence projects axially from the planar surface of the table to support the workpiece as the workpiece is pushed into the cutting blade during operation. The fence can be adjusted between the operating and bypassed positions by using any one of a cam lever clamp, pin and guideway, or rotatable latch.

Abstract: Apparatus and associated methods relate to assessing a confidence level of a verbal communication of a person as determined by a machine learning model operating on a video stream of the person. Video data, audio data, and semantic text data are extracted from a video stream of the person. The video data are analyzed to identify a first feature set. The audio data are analyzed to identify a second feature set. The semantic text data are analyzed to identify a third feature set. Using a computer-implemented machine-learning model, a confidence level of the verbal communication of the person is assessed. The confidence level is then associated with a time of the video stream to which the confidence level pertains. The confidence level and the associated time of the video stream are then reported.

Abstract: Apparatus and associated methods relate to invoking an alert based upon a behavior of a patient as determined by a machine-learning model operating on a video stream of the patient. Video data, audio data, and semantic text data are extracted from a video stream of the patient. The video data are analyzed to identify first, second, and third features sets of video, audio, and semantic text features, respectively, which have been identified by a computer-implemented machine-learning engine as being indicative of at least one of a set of alerting behaviors corresponding to a patient classification of the patient. Using a computer-implemented machine-learning model, a patient behavior of the patient is determined based on the first, second, and/or third features sets. The patient's behavior is compared with the set of alerting behaviors, and, when the patient's behavior is determined to be included therein, the alert is automatically invoked.

Abstract: Apparatus and associated methods relate to predicting a health outcome of a patient by a machine learning model operating on a video stream of the patient. Video data, audio data, and semantic text data are extracted from a video stream of the patient. The video data are analyzed to identify a first feature set. The audio data are analyzed to identify a second feature set. The semantic text data are analyzed to identify a third feature set. Using a computer-implemented machine-learning model, a health outcome of the patient is predicted based on the first, second, and/or third features sets. The health outcome that is predicted is then reported.

Abstract: Apparatus and associated methods relate to enhancing care of a patient using video and audio analytics. Video data, audio data, and semantic text data are extracted from a video stream of the patient. The video data are analyzed to identify a first feature set. The audio data are analyzed to identify a second feature set. The semantic text data are analyzed to identify a third feature set. Using a computer-implemented machine-learning model, a health outcome of the patient is predicted based on the first, second, and/or third features sets. The health outcome that is predicted is compared with the set of health outcomes of the training patients classified with the patient classification of the patient. Differences are identified between the feature sets corresponding to the patient and feature sets of the training patients who have better health outcomes the patient's predicted health outcome. The differences identified are then reported.

Abstract: Apparatus and associated methods relate to invoking an alert based upon a behavior of a patient as determined by a machine learning model operating on an audio stream of the patient. Audio data, and semantic text data are extracted from an audio stream of the patient. The audio data are analyzed to identify a first feature set. The semantic text data are analyzed to identify a second feature set. Using a computer-implemented machine-learning model, a patient behavior of the patient is determined based on the first and/or second features sets. The patient behavior is compared with a set of alerting behaviors corresponding to a patient classification of the patient. The alert is automatically invoked when the patient behavior is determined to be included in the set of alerting behaviors corresponding to the patient classification of the patient.

Abstract: The disclosure relates to binding proteins, including antibodies, that bind to Programmed Death-1 (“PD-1”) and T cell immunoreceptor with Ig and ITIM domains (“TIGIT”). The disclosure also provides compositions comprising such binding proteins and nucleic acid molecules encoding such binding proteins. The disclosure further relates to methods of treating a disorder or condition using such binding proteins.

Abstract: Embodiments are directed to tiered data store with persistent layers. A write tier in the file system for storing in a file system. A value for a performance metric that corresponds to write requests to the file system may be predicted based on characteristics of the write requests such that the performance metric may be determined based on a plurality of interactions with the write tier. The predicted value that exceeds a threshold value of the performance metric may be employed to cause performance of further actions, including: queuing a portion of the write requests in a memory buffer based on the predicted value and the threshold value; combining the queued portion of the write requests into s; storing the data segments in the write tier such that a measured value of the performance metric may be less than the threshold value.

Abstract: A downhole tool has a release device for releasing a downhole device in a wellbore. The downhole tool has a collet with an inner surface and a collet shoulder; a release rod configured to engage the collet shoulder in a locked position and disengage from the collet shoulder in a release position; and a release tube surrounding the release rod and having a release ramp proximate a nose of the release tube.

Abstract: The present invention relates, in general, to antibody-dependent cellular cytoxicity (ADCC)-mediating antibodies, and, in particular, to ADCC-mediating antibodies (and fragments thereof) suitable for use, for example, in reducing the risk of HIV-1 infection in a subject. The invention further relates to compositions comprising such antibodies or antibody fragments.

Abstract: A downhole tool has a release device for releasing a downhole device in a wellbore. The downhole tool has a collet with an inner surface and a collet shoulder; a release rod configured to engage the collet shoulder in a locked position and disengage from the collet shoulder in a release position; and a release tube surrounding the release rod and having a release ramp proximate a nose of the release tube.

Abstract: The present invention relates, in general, to nanoparticles and, in particular, to nanoparticles coated with, for example, peptides, proteins, and/or carbohydrates, and to methods of producing and using same. The invention further relates to kits comprising the coated nanoparticles.

Abstract: The present invention relates, in general, to HIV and, in particular, to immunogens that present epitopes located in the membrane external proximal region (MPER) of HIV-I envelope gp41 in multivalent form and to methods of using same.

Abstract: A method and apparatus for maintaining the single phase integrity of a deep well formation sample that is removed to the surface comprises a vacuum jacket insulated single working cylinder divided by two free pistons into three variable volume chambers. The intermediate chamber is pre-charged with a fixed quantity of high pressure gas. Wellbore fluid freely admitted to one end chamber bears against one free piston to further compress the gas. The formation sample is pumped into the other end chamber to first, displace the wellbore fluid from the first end chamber and, sequentially, to further compress the gas to preserve the sample phase state upon removal to the surface.

Abstract: A downhole steering tool is disclosed. The steering tool includes a rotatable shaft, a substantially non-rotating tool body deployed about the shaft, and a plurality of force application members deployed on the steering tool body. The steering tool further includes a bendable section deployed in the steering tool body. The bendable section is disposed to bend preferentially relative to the steering tool body under an applied bending load. The use of a steering tool body having a bendable section tends to advantageously reduce bending stresses in the steering tool body during use. Moreover, tools embodying this invention may be suitable for higher dogleg severity applications.

Abstract: A steering tool for use in a well bore is disclosed. The tool includes at least one extendable and retractable blade deployed thereon. The blade is elastically spring biased radially inwards towards the tool such that upon removal of an actuating force, the blade retracts. In exemplary embodiments, the blade includes at least one spring-like, elastically deformable member disposed to elastically spring bias the blade. The spring-like member may include first and second elongated leg portions located on opposing sides of a sprung hairpin portion. Tools embodying this invention may be advantageous for small diameter applications.

Abstract: A well fluid sampling tool is provided. The sampling tool includes at least one insulated sample chamber mounted in a tool collar. The tool collar may be coupled with a drill string such that, when the tool collar is deployed in a well bore, selected sample chambers may receive a fluid sample from outside the drill string without removing the drill string from the well bore (e.g., during measurement while drilling or logging while drilling operations). A heating module in thermal communication with at least one of the sample chambers is disposed to selectively heat the sample chambers in thermal communication therewith. The sampling tool may be particularly useful for acquiring and preserving substantially pristine formation fluid samples.

Abstract: A formation fluid sampling tool is provided. The formation fluid sampling tool includes at least one sample tank mounted in a tool collar. The tool collar includes a through bore and is disposed to be operatively coupled with a drill string such that each sample tank may receive a correspondingly preselected formation fluid sample without removing the drill string from a well bore. At least one of the sample tanks further includes an internal fluid separator movably disposed therein. The separator separates a sample chamber from a pressure balancing chamber in the sample tank. The pressure balancing chamber is disposed to be in fluid communication with drilling fluid exterior thereto. The sampling tool further includes a sample inlet port connected to the sample chamber by an inlet passageway. A method is also provided for acquiring a formation fluid sample from a formation of interest.