Abstract: A mass spectrometer is disclosed comprising a Time of Flight mass analyzer comprising an ion detector comprising an Analog to Digital Converter. Signals from the Analog to Digital Converter are digitized and the arrival time and intensity of ions are determined. The arrival time T0 and intensity S0 of each ion arrival event is converted into two separate intensities S(n),S(n+i) which are stored in neighboring time bins T(n), T(n+1).

Abstract: Apparatus and methods for dispensing sanitizer fluid via handles on doors and equipment, and data and recording events pertaining to hand sanitization, are disclosed.

Abstract: A tissue segmentation device, controller, and methods therefore are disclosed. The device has an active electrode, a return electrode, a mechanical force application mechanism, voltage and current sensors, and a controller. The controller is configured to control a power output of the segmentation device. The controller has a processing component, responsive to the sensors, configured to execute the following: (a) derive a power factor of power applied to the at least one electrode; and (b) responsive to the deriving a power factor, assign a circuit status to a circuit comprising the at least one electrode. IF (PF?0) and ((Vrms/Irms)?T), THEN the circuit status is “open”. IF (PF?0) and ((Vrms/Irms)<T), THEN the circuit status is “short”. PF is the power factor. T is a threshold value.

Abstract: The present disclosure is directed to an electrosurgical generator including a tank configured to output energy and an H-bridge configured to drive the tank. The generator also includes a choke. The choke impedes a common mode current generated by the H-bridge and provides a leakage inductance for the tank.

Abstract: A resource management node includes a processor and a memory coupled to the processor. The memory includes computer readable program code that when executed by the processor causes the processor to perform operations. The operations can include, for each of a plurality of guest virtual machines (VMs), determining operational resources of physical host machines available in a distributed computing system that are needed to provide the guest VM. A placement scenario for placing the guest VMs on the physical host machines and placing the physical host machines in cabinets of a distributed computing system is generated. An amount of infrastructure of the distributed computing system used by the placement scenario is determined. A determination is made whether the placement scenario satisfies a defined rule for how much infrastructure of the distributed computing system can be used.

Abstract: A tissue segmentation device, controller, and methods therefore are disclosed. The device has an active electrode, a return electrode, a mechanical force application mechanism, voltage and current sensors, and a controller. The controller is configured to control a power output of the segmentation device. The controller has a processing component, responsive to the sensors, configured to execute the following: (a) derive a power factor of power applied to the at least one electrode; and (b) responsive to the deriving a power factor, assign a circuit status to a circuit comprising the at least one electrode. IF (PF ? 0) and ((Vrms/Irms)?T), THEN the circuit status is “open”. IF (PF ? 0) and ((Vrms/Irms)<T), THEN the circuit status is “short”. PF is the power factor. T is a threshold value.

Abstract: The present disclosure is directed to an electrosurgical generator including a resonant inverter having an H-bridge and a tank. A sensor array measures at least one property of the tank. A pulse width modulation (PWM) controller outputs a first PWM timing signal and a second PWM timing signal to the H-bridge. The PWM controller controls a dead-time between the first PWM timing signal and the second PWM timing signal based on the at least one property measured by the sensor array.

Abstract: Controlling a level of electrosurgical energy provided to tissue based on detected arcing patterns or impedance changes. The drag force imposed on an electrode or blade of an electrosurgical instrument may be controlled by adjusting the level of electrosurgical energy based on the arcing patterns or impedance changes. The arcing patterns or impedance changes may be detected by sensing and analyzing voltage and/or current waveforms of the electrosurgical energy. The current and/or voltage waveform analysis may involve calculating impedance based on the voltage and current waveforms and calculating changes in impedance over time. The waveform analysis may involve detecting harmonic distortion using FFTs, DFTs, Goertzel filters, polyphase demodulation techniques, and/or bandpass filters. The waveform analysis may involve determining a normalized difference or the average phase difference between the voltage and current waveforms.

Abstract: A data acquisition system for a TOF mass spectrometer comprises a processing module and a data collection module. The processing module generates a stream of data comprising, for each respective transient of a first scan, a set of time-intensity related parameter pairs. For each new set of data, the data collection module reads out a previous set of data from a previous memory bank, merges that previous set of data with the new set of data, and writes that latest merged set of data into a memory bank other than the previous memory bank. The data acquisition system provides a convenient way to merge sequential sets of time-intensity related parameter pairs for respective transients as a stream of data for a first scan is generated.

Abstract: The present disclosure is directed to an electrosurgical generator including a resonant inverter having an H-bridge and a tank. A sensor array measures at least one property of the tank. A pulse width modulation (PWM) controller outputs a first PWM timing signal and a second PWM timing signal to the H-bridge. The PWM controller controls a dead-time between the first PWM timing signal and the second PWM timing signal based on the at least one property measured by the sensor array.

Abstract: A system for minimizing neuromuscular stimulation includes a converter, an inverter, and a controller. The converter is configured to output a dc waveform and includes at least one first switching element operated at a first duty cycle. The inverter is coupled to the converter and includes at least one second switching element operated at a second duty cycle. The inverter is configured to invert the DC waveform to generate an electrosurgical pulse waveform. The controller is coupled to the converter and the inverter, and is configured to control the first duty cycle to adjust a magnitude of the electrosurgical pulse waveform and the second duty cycle to adjust at least one property of the electrosurgical pulse waveform to minimize neuromuscular stimulation.

Abstract: An electrosurgical generator includes primary and test sources. The primary source supplies a primary signal and the test source supplies a test signal. The electrosurgical generator includes an output circuit and an abnormality detection circuit. The output circuit is electrically coupled to the primary and test sources. The output circuit receives the primary and test signals from the primary and test sources, respectively. The output circuit is electrically coupled to a load to supply the primary signal thereto. The abnormality detection circuit is electrically coupled to the output circuit to detect an abnormality therein as a function of the test signal. The abnormality detection circuit can also determine a location of the abnormality within the output circuit.

Abstract: Controlling a level of electrosurgical energy provided to tissue based on detected arcing patterns or impedance changes. The drag force imposed on an electrode or blade of an electrosurgical instrument may be controlled by adjusting the level of electrosurgical energy based on the arcing patterns or impedance changes. The arcing patterns or impedance changes may be detected by sensing and analyzing voltage and/or current waveforms of the electrosurgical energy The current and/or voltage waveform analysis may involve calculating impedance based on the voltage and current waveforms and calculating changes in impedance over time. The waveform analysis may involve detecting harmonic distortion using FFTs, DFTs, Goertzel filters, polyphase demodulation techniques, and/or bandpass filters. The waveform analysis may involve determining a normalized difference or the average phase difference between the voltage and current waveforms.

Abstract: The electrosurgical systems and associated methods of the present disclosure perform narrowband real impedance control for precise treatment of tissue in electrosurgery. The electrosurgical systems include an electrosurgical generator that includes an output stage configured to generate electrosurgical energy to treat tissue, a plurality of sensors configured to sense voltage and current waveforms of the electrosurgical energy, and a controller coupled to the output stage to control the generated electrosurgical energy. The controller includes a signal processor that (1) determines a complex-valued voltage and a complex-valued current based on the voltage waveform and the current waveform sensed by the plurality of sensors using a plurality narrowband filters, and (2) calculates a real part of an impedance of the tissue using the complex-valued voltage and the complex-valued current.

Abstract: An electrosurgical generator may reduce unintended tissue damage by improving regulation of output power. The electrosurgical generator may control the power during a cycle, and react to a change in power if arcing occurs. Voltage sources, especially, demonstrate the tendency to have large, uncontrolled power excursions during normal electrosurgical use. The magnitude of the power excursions may be dependent on various factors. An exemplary electrosurgical generator control scheme reduces or minimizes the thermal spread by accurately supplying the specified power within a few cycles. Additionally, fast and accurate regulation provided by the constant voltage mode reduces or minimizes unintentional tissue charring. Thus, reduced thermal spread and charring should result in better surgical outcomes by reducing scarring and decreasing healing times.

Abstract: A resource management node includes a processor and a memory coupled to the processor. The memory includes computer readable program code that when executed by the processor causes the processor to perform operations. The operations can include identifying an unproductive group of guest virtual machines (VMs) that satisfy a defined rule for being unproductive on an first group of physical host machines based on infrastructure of a distributed computing system used by the first group of the physical host machines to host the guest VMs. A relocation scenario is generated for relocating the unproductive group of the guest VMs from the first group of the physical host machines to a second group of the physical host machines. An effect of the relocation scenario on infrastructure usage of the distributed computing system is estimated.

Abstract: A resource management node includes a processor and a memory coupled to the processor. The memory includes computer readable program code that when executed by the processor causes the processor to perform operations. The operations can include, for each of a plurality of guest virtual machines (VMs), determining operational resources of physical host machines available in a distributed computing system that are needed to provide the guest VM. The operations can further include determining an amount of infrastructure of a distributed computing system used by a defined placement of physical host machines in racks of the distributed computing system.

Abstract: Some embodiments disclosed herein are directed to a resource management node having a processor and memory coupled to the processor. The memory includes computer readable program code that when executed by the processor causes the processor to perform operations. The operations include, for each of a plurality of guest virtual machines (VMs) of a VM cluster provided by computer operations of a physical machine among a plurality of physical machines within a distributed computing system, determining a productivity metric for the guest VM based on resources of the physical machine that are used by the guest VM. The operations further include for each of the guest VMs, determining, based on the productivity metric for the guest VM, an infrastructure value that indicates how much infrastructure of the distributed computing system is attributed to providing the guest VM.