Abstract: Methods and apparatus for processing fluids are described. In various aspects, a fluid processing system may include a magnetic assembly that includes a plurality of magnetic structures configured to generate a magnetic field gradient within a fluid container. The magnetic structures may be formed as a plurality of electromagnets configured to be individually actuated by a controller. Each of the electromagnets may generate a magnetic field within the fluid container. The electromagnets may be differentially actuated to create a magnetic field gradient within the fluid container to agitate, mix, or otherwise influence magnetic particles disposed within the fluid container. Activation of the electromagnets of an electromagnetic structure may generate a magnetic field gradient that influences magnetic particles in an x-y direction.

Abstract: Methods and systems for delivering a liquid sample to an ion source for the generation of ions and subsequent analysis by mass spectrometry are provided herein. In accordance with various aspects of the present teachings, MS-based systems and methods are provided in which the flow of desorption solvent within a sampling probe fluidly coupled to an ion source can be selectively controlled such that one or more analyte species can be desorbed from a sample substrate inserted within the sampling probe within a decreased volume of desorption solvent for subsequently delivery to the ion source. In various aspects, sensitivity can be increased due to higher desorption efficiency (e.g., due to increased desorption time) and/or decreased dilution of the desorbed analytes.

Abstract: Methods, apparatus, and processor-readable storage media for machine learning-based anomaly detection using time series decomposition are provided herein. An example computer-implemented method includes processing, via machine learning techniques pertaining to time series decomposition functions, a first set of historical time series data derived from multiple systems within an enterprise; generating, based on the processed data, one or more pairs of upper bounds and lower bounds directed to system metrics; identifying system anomalies attributed to one or more of the multiple systems within the enterprise by comparing a second set of historical time series data derived from the one or more systems against the one or more pairs of upper bounds and lower bounds; prioritizing, via machine learning techniques pertaining to weighting functions, the system anomalies; and outputting, in accordance with the prioritization, the system anomalies to a user within the enterprise.

Abstract: A system and method are provided for loading a sample into an analytical instrument using acoustic droplet ejection (“ADE”) in combination with a continuous flow sampling probe. An acoustic droplet ejector is used to eject small droplets of a fluid sample containing an analyte into the sampling tip of a continuous flow sampling probe, where the acoustically ejected droplet combines with a continuous, circulating flow stream of solvent within the flow probe. Fluid circulation within the probe transports the sample through a sample transport capillary to an outlet that directs the analyte away from the probe to an analytical instrument, e.g., a device that detects the presence, concentration quantity, and/or identity of the analyte. When the analytical instrument is a mass spectrometer or other type of device requiring the analyte to be in ionized form, the exiting droplets pass through an ionization region, e.g.

Abstract: A method for inspecting a bonded structure, the bonded structure having a first structural member, a second structural member, and a bondline between the first structural member and the second structural member, includes projecting acoustic waves into the bonded structure at a non-zero angle relative to a normal axis defined by an external surface of the first structural member. The method further includes determining a magnitude of a total refraction of the acoustic waves after the acoustic waves pass through the bonded structure and comparing the magnitude of the total refraction to a predefined value.

Abstract: A method for inspecting a fastened structure, the fastened structure having at least one structural member defining a bore therein and a mechanical fastener received in the bore, includes applying acoustic energy to the fastened structure, the acoustic energy being applied over a plurality of frequencies, measuring a response of the fastened structure across at least two frequencies of the plurality of frequencies, and comparing the response of the fastened structure at the at least two frequencies of the plurality of frequencies to predefined values for the at least two frequencies of the plurality of frequencies to determine whether an out-of-tolerance condition is present.

Abstract: Integrated system for delivering sample to a mass spectrometer, which includes a chamber extending from a top to bottom end, an open port probe disposed in the chamber such that an open end of the probe, which is configured for receiving a sample, is positioned in proximity to top end of the chamber. The system can further include a solvent inlet port coupled to said chamber for receiving a solvent and directing said solvent to said probe, and a solvent outlet port for receiving a flow of the solvent from the open port probe and directing the received solvent out of the chamber. The system can also include an adapter for receiving a sample holder having an outlet port, the adapter is releasable and replaceable and couple with chamber to align the outlet port of sample holder with open end of probe for delivering sample to the probe.

Abstract: Methods, apparatus, and processor-readable storage media for determining similarity between time series using machine learning techniques are provided herein. An example computer-implemented method includes obtaining a primary time series and a set of multiple candidate time series; calculating, using machine learning techniques, similarity measurements between the primary time series and each of the candidate time series; for each of the similarity measurements, assigning weights to the candidate time series based on similarity to the primary time series relative to the other candidate time series; generating, for each of the candidate time series, a similarity score based on the weights assigned to each of the candidate time series across the similarity measurements; and outputting, based on the similarity scores, identification of at least one candidate time series for use in one or more automated actions relating to at least one system.

Abstract: A system and method are provided for loading a sample into an analytical instrument using acoustic droplet ejection (“ADE”) in combination with a continuous flow sampling probe. An acoustic droplet ejector is used to eject small droplets of a fluid sample containing an analyte into the sampling tip of a continuous flow sampling probe, where the acoustically ejected droplet combines with a continuous, circulating flow stream of solvent within the flow probe. Fluid circulation within the probe transports the sample through a sample transport capillary to an outlet that directs the analyte away from the probe to an analytical instrument, e.g., a device that detects the presence, concentration quantity, and/or identity of the analyte. When the analytical instrument is a mass spectrometer or other type of device requiring the analyte to be in ionized form, the exiting droplets pass through an ionization region, e.g.

Abstract: An electromagnetic sampling device is disclosed, which comprises a needle having a hollow housing that extends from a proximal end to a distal end, and an electromagnet comprising an electromagnetic coil and a metal core, at least a portion of said metal core extending through said hollow housing of the needle and be configured to transition between an extended position in which the distal end of the metal core extends beyond the distal end of the needle's hollow housing and a retracted position in which the distal end of the metal core is positioned within the needle's housing, wherein an activation of said electromagnetic coil magnetizes the metal core.

Abstract: Methods and systems for delivering a liquid sample to an ion source for the generation of ions and subsequent analysis by mass spectrometry are provided herein. In accordance with various aspects of the present teachings, MS-based systems and methods are provided in which the flow of desorption solvent within a sampling probe fluidly coupled to an ion source can be selectively controlled such that one or more analyte species can be desorbed from a sample substrate inserted within the sampling probe within a decreased volume of desorption solvent for subsequently delivery to the ion source. In various aspects, sensitivity can be increased due to higher desorption efficiency (e.g., due to increased desorption time) and/or decreased dilution of the desorbed analytes.

Abstract: Methods and systems for delivering a liquid sample to an ion source for the generation of ions and subsequent analysis by mass spectrometry are provided herein. In accordance with various aspects of the present teachings, MS-based systems and methods are provided in which the flow of desorption solvent within a sampling probe fluidly coupled to an ion source can be selectively controlled such that one or more analyte species can be desorbed from a sample substrate inserted within the sampling probe within a decreased volume of desorption solvent for subsequently delivery to the ion source. In various aspects, sensitivity can be increased due to higher desorption efficiency (e.g., due to increased desorption time) and/or decreased dilution of the desorbed analytes.

Abstract: A method, computer program product, and computer system for identifying, by a computing device, historical data. Usage data may be forecasted for at least two frequencies of a plurality of frequencies associated with the historical data based upon, at least in part, the historical data. It may be determined that the usage data is forecasted more accurately for a first frequency of the at least two frequencies than for a second frequency of the at least two frequencies. The usage data forecasted for the first frequency of the at least two frequencies may be selected based upon, at least in part, determining that the usage data is forecasted more accurately for the first frequency. Future usage of an item may be predicted based upon, at least in part, the usage data forecasted for the first frequency.

Abstract: A method includes obtaining, in a given log processing node, at least two different types of logs associated with assets of an enterprise system. The method also includes generating, at the given log processing node, frequency scores for terms in unstructured log data of each of the different log types, the generated frequency score for a given term in unstructured log data of a given log type being based on (i) occurrence of the given term in historical logs of the given log type previously processed by log processing nodes and (ii) occurrence of the given term in the obtained logs of the given log type. The method further includes extracting, at the given log processing node, features from the obtained logs based on the frequency scores, detecting events affecting the assets utilizing the extracted features, and modifying a configuration of the assets responsive to detecting the events.

Abstract: An ultrasonic transmitter (95) and detector (e.g., integrated as an ultrasound transducer) utilized in a feedback control system automatically monitors and/or detects surface profile (e.g., shape) of the liquid-air interface and adjusts the flow rate of sampling liquid to ensure that experimental conditions remain consistent at the time of sample introduction during serial samplings. The feedback control can provide for automated adjustment of the surface profile of the liquid-air interface in accordance with changes in desired set point according to an experimental workflow (e.g., automated adjustment between an interface corresponding to a vortex sampling set point and an overflow cleaning set point).

Abstract: A probability map of prostate tumor location is generated and displayed in response to receiving anatomic diagnostic medical imaging, such as from magnetic resonance (MR) scanning. A registration process is performed on the images in relation to a model built of prostate anatomy across different subjects in an enhanced prostate template. A probability map is created of tumor locations followed by transforming the imaging to incorporate the probability map and output a resultant image.

Abstract: Apparatus, systems, and methods in accordance with various aspects of the applicant's teachings provide for improved interfaces for providing a sample flow from a sample conduit (e.g., an analytical conduit or capillary), including those used in sample separation techniques such as CE and HPLC, to an ESI source for ionization thereby.

Abstract: Mass spectrometer based analytical systems and methods in which a feedback control system can be utilized to control the flow of liquid within a sampling probe to adjust and/or maintain the surface profile (e.g., shape) of the liquid-air interface within an open sampling port of the sampling probe. The feedback control systems can automatically monitor and/or detect the surface profile of the liquid-air interface and adjust the flow rate of the sampling liquid to ensure that experimental conditions remain consistent at the time of sample introduction during serial samplings. These can provide stable and reproducible analyte flows of consistent dilution to the ion source, increasing reproducibility and/or accuracy of data generated by MS analysis. Can be used with a change in the desired set point according to the particular experimental workflow (e.g., automated adjustment between an interface corresponding to a sampling set point and a cleaning set point).