Abstract: A method of treating a pediatric cancerous solid tumor in a mammalian subject is disclosed that comprises intralesionally administering an amount of a halogenated xanthene or a pharmaceutically acceptable salt thereof, preferably Rose Bengal disodium, that elicits ablation of tumor cells of the administered tumor. Another contemplated method comprises the steps of intralesionally administering an amount of a halogenated xanthene or a pharmaceutically acceptable salt thereof, preferably Rose Bengal disodium, that elicits ablation of tumor cells of the administered tumor and systemically administering a tumor-inhibiting effective amount of a systemic anti-cancer medication that provides synergistic cytotoxicity with the halogenated xanthene. The two administrations can occur concurrently, or one prior to the other.

Abstract: Methods and systems for detecting systemwide service issues by using anomaly localization. In an example, a method includes receiving time-series monitoring data for multiple services, the time-series monitoring data including multiple dimensions and an error metric; for the monitoring data from each service, evaluating scopes within the monitoring data based on an objective function for a time-series of the error metric to identify at least one anomalous scope, each scope including at least one dimension and a value for the dimension; based on evaluating the scopes, generating a ranked list of scopes for each service based on objective function scores for the scopes; correlating the ranked lists of scopes across the multiple services to identify a cross-service anomaly; and generating an alert for the services based on the cross-service anomaly, the alert indicating at least one scope as a potential root cause for the cross-service anomaly.

Abstract: A method of treating a mammalian subject having hematologic, non-tumorous cancer cells is disclosed. The method comprises the steps of: (A) administering to such a mammalian subject a therapeutically effective amount of a halogenated xanthene, a pharmaceutically acceptable salt or a C1-C4 alkyl ester thereof as a first cancer cytotoxic agent dissolved or dispersed in a pharmaceutically acceptable aqueous medium. The mammalian subject is maintained for a period of time sufficient to induce death of hematologic, non-tumorous cancer cells. A contemplated administration is typically repeated. A contemplated treatment method can also be carried out in conjunction with administration to said mammalian subject of a second therapeutically effective amount of a second, differently-acting cancer cytotoxic agent dissolved or dispersed in a pharmaceutically acceptable medium. The second cancer cytotoxic agent can be a small molecule or an intact antibody or paratope-containing portion thereof.

Abstract: Systems and methods are provided for obtaining raw mass spectrometry data from samples, determining signals present across the samples, and separating the raw mass spectrometry data into discrete intervals in each of the samples. At each interval of the discrete intervals of the raw mass spectrometry data, a local highest intensity signal, relative to any other signal within each interval, is determined, and a frequency of occurrence of each local highest intensity signal across the samples is determined. A subset of local highest intensity signals is retrieved based on respective frequencies of occurrence of the local highest intensity signals. The subset of the local highest intensity signals is ingested into a machine learning model.

Abstract: Systems and methods are provided for obtaining raw mass spectrometry data from samples, determining true signals from the raw mass spectrometry data, determining intensities corresponding to the true signals, adjusting the determined intensities, and based on the adjusted intensities, determining concentrations of one or more constituents corresponding to the true signals.

Abstract: Systems and methods are provided for obtaining raw mass spectrometry data from samples, determining signals present across the samples, determining a bin value to apply to the filtered mass spectrometry data, and after determining the bin value, generating an image-based representation of the raw mass spectrometry data, wherein the image-based representation indicates frequencies of peak intensities in each bin.

Abstract: Systems and methods are provided for obtaining raw mass spectrometry data from samples and generating an image representation of the mass spectrometry data. The image representation illustrates frequencies of occurrence of respective signals across the samples. A portion of the mass spectrometry data is obtained or extracted based on the frequencies. This portion is divided into segments. The segments correspond to different ranges or bins of retention times and mass-to-charge ratios. Veracities of signals within the segments are determined using a machine learning model. A subset of the segments that correspond to true signal is extracted. Mass-to-charge ratios and retention times corresponding to the subset of the segments are extracted.

Abstract: Systems and methods are provided for obtaining raw mass spectrometry data from samples, generating an image representation from the raw mass spectrometry data, selecting a portion of the signals corresponding to the image representation, inputting the selected portion into a machine learning model to determine or infer an existence or an absence of signals within respective retention time windows, obtaining a retention time window within which a subset of the signals exist, determining whether to expand the retention time window, determining or receiving an indication of a retention time window within which a subset of the signals are located, and determining whether to expand the retention time window. The systems and methods may selectively expand the retention time window based on the determination, and retrieve information within the expanded retention time window or the retention time window.

Abstract: Systems and methods are provided for obtaining raw mass spectrometry data from samples, extracting a subset of the raw mass spectrometry data based on storage characteristics of the computing system, storing the subset of the raw mass spectrometry data within a storage of the computing system, and transmitting the stored subset to a machine learning component.

Abstract: Provided is a method including obtaining a plurality of time series data sets and a synthetic time series data set that is associated with a first machine learning label such that the first machine learning label is associated with a first time series data set of the plurality of time series data sets. The method includes inputting the synthetic time series data set, the first machine learning label, a second machine learning label that is associated with a second time series data set of the plurality of time series data sets, and a series of generated values in a time series simulation machine learning model that includes a trained generative adversarial network. The method includes running a generator neural network included in the trained generative adversarial network with the inputs and then generating a synthetic second time series data set for the second time series data set.

Abstract: One embodiment provides a method, including: utilizing at least one processor to execute computer code that performs the steps of: providing, on a display device, a communications window, wherein the communications window comprises a request for user input to start a conversation with an online assistant; receiving a user input identifying a request by the user to be completed by the online assistant; updating, based upon the request, the communications window, wherein the updated communications window comprises a summary of the conversation including prepopulated variable terms and allows user interaction to adjust the summary including adjustment of the prepopulated variable terms; and iteratively updating the communications windows based upon user input adjusting the summary. Other aspects are described and claimed.

Abstract: Provided are a computer program product, system, and method for generating constraints based on reported crop arrivals to marketplaces and remote sensed data to estimate farm yields of farm fields. A total arrival quantity constraint for a marketplace is generated comprising a function of a reported arrival of crops at a marketplace and an estimated arrival to the marketplace comprising a sum of farm yields for the farm fields, wherein the farm yields comprise variables to optimize. Sensed data of the farm fields is used to determine relationships of the farm yields for the farm fields. Comparative farm yield constraints are generated comprising relationships of the farm yields for different pairs of farms. A constraint optimization problem is solved based on the total arrival quantity constraint and comparative farm yield constraints to calculate the farm yields of the farm fields.

Abstract: A context sensitive slider content area provides a slide out mechanism that is automatically actuated when additional information is needed during a chat session between an agent and a visitor, e.g. where a pre-chat and/or exit form is to be completed. The context sensitive slide out content area also provides problem resolution information to the visitor to help in solving problems, e.g. the top five problems; and also provides a self-service step-by-step wizard. A history section is provided with which the visitor can track back all previous steps carried out within the smart client. A history bar provides an iconic representation of all previous activities. A technique is also disclosed for executing various actions, such as form filling or requests for additional services, in a chat session.

Abstract: A method of treating a mammalian subject having hematologic, non-tumorous cancer cells is disclosed. The method comprises the steps of: (A) administering to such a mammalian subject a therapeutically effective amount of a halogenated xanthene, a pharmaceutically acceptable salt or a C1-C4 alkyl ester thereof as a first cancer cytotoxic agent dissolved or dispersed in a pharmaceutically acceptable aqueous medium. The mammalian subject is maintained for a period of time sufficient to induce death of hematologic, non-tumorous cancer cells. A contemplated administration is typically repeated. A contemplated treatment method can also be carried out in conjunction with administration to said mammalian subject of a second therapeutically effective amount of a second, differently-acting cancer cytotoxic agent dissolved or dispersed in a pharmaceutically acceptable medium. The second cancer cytotoxic agent can be a small molecule or an intact antibody or paratope-containing portion thereof.

Abstract: Methods, systems, and computer program products for exercise monitoring and coaching using audio devices are provided herein. A computer-implemented method includes processing a first set of one or more auditory prompts, wherein the first set of auditory prompts pertains to initiation of at least one activity with respect to a user; detecting, in connection with the first set of auditory prompts, one or more sets of movements being performed by the user, wherein said detecting comprises (i) emitting one or more acoustic waves towards the user and (ii) processing reflection of the one or more acoustic waves from the user; classifying, based on said detecting, the one or more sets of movements as one or more predefined exercises; and generating and outputting a second set of auditory prompts to the user, wherein the second set of auditory prompts pertains to the predefined exercises being performed by the user.

Abstract: One embodiment provides a method, including: detecting, on a social media application, a media object comprising at least one image of a final product made from at least one purchased raw product; extracting, from the media object and text corresponding to the social media application post, (i) information related to the final product and (ii) social feedback regarding the final product; determining, based upon the social feedback, that the use of the at least one purchased raw product into the final product comprises positive social feedback; and providing a recommendation regarding the use of the at least one purchased raw product to one or more other individuals, wherein the recommendation is generated using the information related to the final product.

Abstract: Provided are a computer program product, system, and method for generating constraints based on reported crop arrivals to marketplaces and remote sensed data to estimate farm yields of farm fields. A total arrival quantity constraint for a marketplace is generated comprising a function of a reported arrival of crops at a marketplace and an estimated arrival to the marketplace comprising a sum of farm yields for the farm fields, wherein the farm yields comprise variables to optimize. Sensed data of the farm fields is used to determine relationships of the farm yields for the farm fields. Comparative farm yield constraints are generated comprising relationships of the farm yields for different pairs of farms. A constraint optimization problem is solved based on the total arrival quantity constraint and comparative farm yield constraints to calculate the farm yields of the farm fields.

Abstract: A method of treating a pediatric cancerous solid tumor in a mammalian subject is disclosed that comprises intralesionally administering an amount of a halogenated xanthene or a pharmaceutically acceptable salt thereof, preferably Rose Bengal disodium, that elicits ablation of tumor cells of the administered tumor. Another contemplated method comprises the steps of intralesionally administering an amount of a halogenated xanthene or a pharmaceutically acceptable salt thereof, preferably Rose Bengal disodium, that elicits ablation of tumor cells of the administered tumor and systemically administering a tumor-inhibiting effective amount of a systemic anti-cancer medication that provides synergistic cytotoxicity with the halogenated xanthene. The two administrations can occur concurrently, or one prior to the other.

Abstract: Aspects of the present disclosure concern cognitive interview management. Audio data from an interviewer in an interview is received. The audio data is processed by converting the audio data into structured text. The structured text is then analyzed to identify questions in the structured text. The structured text data is also analyzed to determine at least one tonal dimension, at least one class dimension, and at least one difficulty dimension of the structured text. A feature vector is then generated having the determined dimensions. A reference feature vector is received having at least one reference tonal dimension, at least one reference class dimension, and at least one reference difficulty dimension. The generated feature vector and reference feature vector are then compared. A determination is made whether the comparison satisfies a match threshold, and in response to the comparison satisfying the match threshold, the interviewer is selected for a panel.

Abstract: A method of treating a pediatric cancerous solid tumor in a mammalian subject is disclosed that comprises intralesionally administering an amount of a halogenated xanthene or a pharmaceutically acceptable salt thereof, preferably Rose Bengal disodium, that elicits ablation of tumor cells of the administered tumor. Another contemplated method comprises the steps of intralesionally administering an amount of a halogenated xanthene or a pharmaceutically acceptable salt thereof, preferably Rose Bengal disodium, that elicits ablation of tumor cells of the administered tumor and systemically administering a tumor-inhibiting effective amount of a systemic anti-cancer medication that provides synergistic cytotoxicity with the halogenated xanthene. The two administrations can occur concurrently, or one prior to the other.