Abstract: An apparatus for detecting gunshots. The apparatus may include a device housing configured to removably couple to a light fixture; a microphone inside or mounted to the device housing; and a processor inside the device housing and electrically coupled to the microphone. The processor can be configured to receive audio data from the microphone; execute a machine learning model using the audio data as input to determine whether the audio data corresponds to a gunshot; and responsive to determining the audio data corresponds to a gunshot, transmit the audio data to a remote processor.

Abstract: An apparatus may include a device housing; a camera; a plurality of microphones inside or mounted to the device housing; and a processor inside the device housing and electrically coupled to the plurality of microphones. The processor can be configured to receive a set of audio data from each of the plurality of microphones; execute a machine learning model using each of the sets of audio data as input to determine whether the set of audio data corresponds to an actionable sound; determine a location of the actionable sound relative to a location of the camera based on a plurality of sets of audio data determined to correspond to the actionable sound; and rotate the camera towards the determined location of the actionable sound.

Abstract: The present invention discloses compounds of Formula (I), or pharmaceutically acceptable salts, esters, or prodrugs thereof: which inhibit Human Respiratory Syncytial Virus (HRSV) or Human Metapneumovirus (HMPV) inhibitors. The present invention further relates to pharmaceutical compositions comprising the aforementioned compounds for administration to a subject suffering from HRSV or HMPV infection. The invention also relates to methods of treating an HRSV or HMPV infection in a subject by administering a pharmaceutical composition comprising the compounds of the present invention.

Abstract: An apparatus. The apparatus may include a device housing; a camera; a plurality of microphones inside or mounted to the device housing; and a processor inside the device housing and electrically coupled to the plurality of microphones. The processor can be configured to receive a set of audio data from each of the plurality of microphones; execute a machine learning model using each of the sets of audio data as input to determine whether the set of audio data corresponds to an actionable sound; determine a location of the actionable sound relative to a location of the camera based on a plurality of sets of audio data determined to correspond to the actionable sound; and rotate the camera towards the determined location of the actionable sound.

Abstract: The present disclosure involves systems, software, and computer implemented methods for ranking time dimensions. One example method includes receiving a request for an insight analysis for a dataset that includes a value dimension and a set of multiple date dimensions. Each date dimension is converted into a time series and a value quality factor is determined for each time series that represents a level of data quality for the time series. A time series informative factor is determined for each time series that represents how informative the time series is within a specified time window. An insight score is determined, for each time dimension, based on the determined value quality factors and the determined time series informative factors. The insight score for the time dimension is provided, for at least some of the time dimensions.

Abstract: The present disclosure involves systems, software, and computer implemented methods for measuring successful interactions with an insight tool. One example method includes receiving a request for insights for a data point of a data visualization. Insights for the data point are identified and presented in an insights interface in a user session. User interactions with the insights interface are tracked during the user session. A determination is made that the user session has completed. At least one insights success rule is identified for determining whether user sessions with the insights interface are successful. The one or more insights success rules are evaluated to determine whether the user session was successful. In response to determining that the user session was successful, a measure of success for the user session is recorded. In response to determining that the user session was unsuccessful, a measure of failure is recorded for the user session.

Abstract: The present disclosure involves systems, software, and computer implemented methods for generating insights based on numeric and categorical data. One example method includes receiving a request for an insight analysis for a dataset that includes at least one continuous feature and at least one categorical feature. Continuous features can have any value within a range of numerical values and categorical features are enumerated features that can have a value from a predefined set of values. A selection of a first continuous feature for analysis is received, and at least one categorical feature is identified for analysis. A deviation factor and a relationship factor are determined for each identified categorical feature. An insight score is determined for each identified categorical feature that combines the deviation factor and the relationship factor for the categorical feature. The insight score is provided for at least some of the identified categorical features.

Abstract: The present disclosure involves systems, software, and computer implemented methods for ranking time dimensions. One example method includes receiving a request for an insight analysis for a dataset that includes a value dimension and a set of multiple date dimensions. Each date dimension is converted into a time series and a value quality factor is determined for each time series that represents a level of data quality for the time series. A time series informative factor is determined for each time series that represents how informative the time series is within a specified time window. An insight score is determined, for each time dimension, based on the determined value quality factors and the determined time series informative factors. The insight score for the time dimension is provided, for at least some of the time dimensions.

Abstract: Techniques are described for integrating predictive models into applications, to enable the applications to provide predictive functionality. Using the framework according to implementations, predictive models and their supporting libraries may be incorporated into applications without requiring application developers to be knowledgeable regarding the particular features of the predictive models and/or libraries. The framework exposes a common and consistent application programming interface (API) on top of the predictive libraries. Applications can use the API to interact with the predictive models, thus enabling the applications to leverage predictive functionality. Implementations also provide an API which may be used by applications to request the retraining of predictive models.

Abstract: For a plurality of sensors, a particular sensor is indicated as a target sensor and the other sensors as input sensors. A regression model is trained using historical data from the plurality of related sensors. The trained regression model is applied to the target sensor to generate a predicted target sensor value. A difference between an actual target sensor value and the predicted target sensor value is calculated. A probability of difference for the calculated difference between the actual target sensor value and the predicted target sensor value is compared against a threshold value.

Abstract: A system and method for addressing mental health conditions includes a mobile processing device capable of executing a software application stored in memory. The software application is configured to employ peripheral devices associated with the mobile processing device to provide a user with a self-treating option for addressing mental conditions. When activated, the application provides one more of an interactive diagnosis routine configured to assist in discovering a mental state or condition of the user, and an interactive instructional routine configured to remedy a current mental state.

Abstract: A method for developing and executing a web application to be used in a data processing system. The method includes instantiating an object in a memory, the object associated with a first web page of the web application. The method also includes displaying the first web page to an end user. The method further includes receiving at least one update to the first web page from a web browser of the end user. The method still further includes storing the at least one update to the first web page in the object. The method also includes displaying a second web page to the end user. The method further includes re-displaying the first web page based on the at least one update to the object.

Abstract: A hydroponics apparatus for growing plants. The apparatus includes a frame attached to a base; the frame includes a frame member having an angled portion at an angle with respect to the base. A plurality of substantially parallel tubes are attached to the angled portion of the frame member, so that the tubes are terraced with respect to each other. Connectors connect the tubes at the ends thereof, thereby forming a single serpentine path for fluid flow. A reservoir is connected to an end of the lowermost tube, for collecting fluid flowing from the tubes. A pump is provided for pumping the fluid into the tubes. In various embodiments, the angled portion of the frame member is at an angle of approximately 45° elevation with respect to the base, and the tubes have netpots for holding the plants.

Abstract: A system and method for addressing mental health conditions includes a mobile processing device capable of executing a software application stored in memory. The software application is configured to employ peripheral devices associated with the mobile processing device to provide a user with a self-treating option for addressing mental conditions. When activated, the application provides one more of an interactive diagnosis routine configured to assist in discovering a mental state or condition of the user, and an interactive instructional routine configured to remedy a current mental state.

Abstract: Nucleic acid and polypeptide sequences are described which relate to an EIN6 gene, a gene involved in the plant ethylene response. Plant transformation vectors and transgenic plants are described which display an altered ethylene-dependent phenotype due to altered expression of EIN6 in transformed plants.

Abstract: A multi-layer printed circuit board includes a via having a conductive upper portion, a conductive lower portion, and an electrically insulating intermediate portion between the upper and lower portions. In one embodiment, the insulating intermediate portion of the via is provided by a non-platable layer of the circuit board, as may be comprised of PTFE. Vias having a continuous conductive coating may be formed through clearance holes in the non-platable layer which are provided with a platable inner surface, either by filling the hole with a platable material, such as epoxy resin, prior to laminating the board or by chemically conditioning the non-platable material to make it platable. In a further embodiment, the as insulating intermediate portion of the via has a narrower diameter than the conductive upper and lower portions.