Abstract: A method for cleaning semiconductor substrate without damaging patterned structure on the semiconductor substrate using ultra/mega sonic device comprises applying liquid into a space between a substrate and an ultra/mega sonic device; setting an ultra/mega sonic power supply at frequency f1 and power P1 to drive the ultra/mega sonic device; before bubble cavitation in the liquid damaging patterned structure on the substrate, setting the ultra/mega sonic power supply at zero output; after temperature inside bubble cooling down to a set temperature, setting the ultra/mega sonic power supply at frequency f1 and power P1 again; detecting power on time at power P1 and frequency f1 and power off time separately or detecting amplitude of each waveform output by the ultra/mega sonic power supply; comparing the detected power on time with a preset time ?1, or comparing the detected power off time with a preset time ?2, or comparing detected amplitude of each waveform with a preset value, if the detected power on time

Abstract: An insect olfactometer is described. The olfactometer can be used to study the behavior and response of insects and other living organisms to odorants and airborne chemicals. The olfactometer provides one or more discrete odor zones that do not intersect with each other and are separated by a neutral background control odor zone.

Abstract: A method for monitoring regenerative management practices in agricultural parcels includes: determining a regenerative carbon footprint value for a parcel that comprises a difference of a regenerative carbon footprint and a baseline carbon footprint, where the baseline carbon footprint is derived by calculating greenhouse gas emissions based on simulating crop growth under current management practices and the regenerative carbon footprint is derived by calculating greenhouse gas emissions based on simulating crop growth under one or more regenerative management practices; for key dates corresponding to implementation and maintenance of each of the one or more regenerative management practices, processing and evaluating remotely sensed images against corresponding crop curves to determine compliance/noncompliance indicators that correspond each of the key dates; and storing the compliance/noncompliance indicators within a parcel database, where the compliance/noncompliance indicators are employed at a final da

Abstract: Methods and systems for optimizing the gas-oil separation plant (GOSP) operating parameters in order to maximize the stabilized crude oil recovery in an integrated framework of GOSP operation. The ambient temperature variations daily (day and night) and seasonal (summer and winter) are incorporated to show their impact on liquid recovery. An artificial intelligence model predicts stabilized crude oil recovery for a range of ambient temperatures. The optimal GOSP separator pressures which yield maximum stabilized crude oil recovery are determined for each ambient temperature. The separator pressures of the GOSP may be adjusted to achieve the maximum stabilized crude oil recovery under changing ambient temperatures.

Abstract: A plant operation support system supports an operation of a plant. The plant operation support system includes a fluctuation prediction device configured to predict a fluctuation of an element which is input to the plant, and a simulation device configured to simulate a behavior of the plant using a fluctuation of the element predicted by the fluctuation prediction device and data which is obtained from the plant.

Abstract: Methods and systems for performing transient processes may include: providing a path and path thresholds for an operational condition as a function of progress of a transient process based on historical data of previously performed transient processes; performing the transient process in a chemical reactor using operational parameters; measuring the operational condition of the transient process as a function of the progress of the transient process; and adjusting one or more of the operational parameters during the progress of the transient process to maintain the operational condition within the path thresholds.

Abstract: A new DP meter diagnostic system for wet gas flow builds on existing diagnostic techniques. Based on new diagnostic parameters and calculations derived from them, blocked pressure ports or impulse lines can be identified or wet gas established as the cause of an abnormal reading. Further diagnostic techniques can take advantage of the new diagnostic parameters to predict a liquid loading parameter, gas flow rate and fluid flow rate for wet gas flow.

Abstract: A method of diagnosing a load port includes identifying a plurality of entities for a plurality of substrate storage containers by a plurality of load ports capable of transferring a substrate into and out of the plurality of substrate storage containers; detecting directly or indirectly a plurality of states of the plurality of substrate storage containers by a plurality of sensors provided at the plurality of load ports; associating the plurality of load ports, the plurality of entities and a plurality of sensor values, with each other; accumulating, in a database, data associated in the act of associating the plurality of load ports, the plurality of entities, and the plurality of sensor values; and analyzing the data in the database and determining a state of each of the plurality of load ports.

Abstract: Systems and methods taught herein enable simultaneous forward and side detection of light originating within a microfluidic channel disposed in a substrate. At least a portion of the microfluidic channel is located in the substrate relative to a first side surface of the substrate to enable simultaneous detection paths with respect to extinction (i.e., 0°) and side detection (i.e., 90°). The location of the microfluidic channel as taught herein enables a maximal half-angle for a ray of light passing from a center of the portion of the microfluidic channel through the first side surface to be in a range from 25 to 90 degrees in some embodiments. By placing at least the portion of the microfluidic channel proximate to the side surface of the substrate, a significantly greater proportion of light emitted or scattered from a particle within the microfluidic channel can be collected and imaged on a detector as compared to conventional particle processing chips.

Abstract: A process and system for efficiently producing reference data that can be fed into a predictive model for predicting quality attribute concentrations in cell culture processes. A perfusion bioreactor is operated at pseudo-steady-state conditions and one or more attribute influencing parameters are manipulated and changed over time. As the one or more attribute influencing parameters are manipulated, one or more quality attributes are monitored and measured. In one embodiment, multiple quality attributes are monitored and measured in parallel. The quality attribute information is recorded in conjunction with the changes in the attribute influencing parameters. This information is then fed to the predictive model for propagating cell cultures in commercial processes and maintaining the cell cultures within desired preset limits.

Abstract: The present set of embodiments relate to a system, method, and apparatus controlling a cell culture media mixing system. The control system includes an integrated control unit capable of controlling a broad ranges of peripheral devices commonly used in bioproduction through a graphical user interface displayed on a touch sensitive screen. The bioproduction system is designed to be highly customizable through process modification and recipe creation by user with little or no knowledge of programming and is capable of controlling a wide variety of devices using a single unit. The bioproduction system allows for auto-detection, auto-calibration, and automatic of device related processes into a bioproduction workflow.

Abstract: Provided is a method of predicting fouling during a process of preparing polyolefin. According to the present invention, occurrence of fouling may be predicted by calculating R value according to the following Equation 1 in real-time with high reliability during a copolymerization process of preparing polyolefin: R (ratio of unreacted alpha-olefin comonomer to produced polyolefin polymer) =amount of unreacted alpha-olefin comonomer (unit: kg/hr) / amount of produced polyolefin polymer (unit: kg/hr) ??[Equation 1] Therefore, productivity of the polyolefin preparation process may be further increased.

Abstract: Techniques regarding autonomously controlling one or more chemical reactors using generative machine learning models are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a model component that can build a generative machine learning model based on training data regarding a past chemical reactor operation. The generative machine learning model can generate a recommended chemical reactor control setting for experimental discovery of a polymer.

Abstract: The temperature of a vaporizing device, e.g., the temperature of a heating element of the vaporizing device, may be controlled according to various aspects of the present disclosure. The vaporizing device may comprise a heating element, a power source, at least one sensor in electronic communication with the heating element and the power source, and a processor configured to control the temperature of the heating element. The method of controlling the temperature may comprise receiving a resistance measurement of the heating element from the at least one sensor, determining the temperature of the heating element based on the resistance measurement, and adjusting the amount of power supplied to the heating element based on the determined temperature of the heating element.

Abstract: Methods and systems for crop management are disclosed. An example method can comprise receiving first information associated with an environmental management zone. The first information can relate to one or more of a land characteristic and a management practice. The first information can comprise a soil type of the environmental management zone. An example method can comprise, receiving historical weather data relating to the environmental management zone. An example method can comprise receiving real-time weather data relating to the environmental management zone. An example method can comprise executing a growth model to predict a nitrogen range for the environmental management zone based on one or more of the first information, the historical weather data, and the real-time weather data. The nitrogen range can comprise probabilities for one or more of a current time period and a future time period in the growing season.

Abstract: Fluid stream management systems and methods relating thereto are described. The fluid management system includes a neural network, which comprises: (i) an input layer that is communicatively coupled to one or more fluid facility sensors and/or one or more pre-processing flow sensors such that one or more of the flow condition attribute values are received the neural network; (ii) one or more intermediate layers, which are configured to constrain one or more of the flow condition attribute values to arrive at modified flow condition attribute values; (iii) an output layer, which transmits, one or more modified flow condition attribute values to a downstream control device. This control device and other computation devices perform certain calculations that ultimately inform a flow controller, which in turn, instructs a flow-directing device regarding management of fluid streams.

Abstract: A cell sorting system that automatically generates a sorting strategy based on examples of target events provided by an operator. The target events can be selected using measurements ranging from traditional flow cytometry measurements to derived measurements that are computationally expensive to complex measurements such as images.

Abstract: Simulation of process control environments, including dynamic properties, with a modified first-order Taylor series expansion. By using more linear calculations, a physical dynamic property is approximated in less time and with fewer computing resources. By adjusting the approximation to introduce curvature, a physical dynamic property is represented over a wider range than with basic linear series expansions. A comparison to a basic linear first-order series expansion identifies conditions when a rigorous update of a dynamic property is needed.

Abstract: Approaches provide for machine learning or training algorithms that apply modifications to models based on a type of data obtained, including, for example, producer-specific management practice data, genetic data, among other such data. The animal-centric models can be configured to, for example, quantify gas emissions (e.g., greenhouse gas emissions) that an animal may be expected to emit over a period of time, including, for example, over the animal's lifetime. The emissions in certain embodiments can further enable the certification of emissions for individual animals.

Abstract: The present invention makes it possible for an automated analyzer including two or more types of photometers to obtain suitable output of the measurement results of the plurality of photometers and suitable data alarm output even if there is an abnormality, or the like, at the time of measurement. This automated analyzer includes, for example, two types of photometers having different quantitative ranges and an analysis control unit for controlling analysis that includes measurement of a given sample using the two types of photometers. If two types of data alarms corresponding to abnormalities, or the like, during measurement have been added to the two types of measurement results from the two types of photometers, the analysis control unit selects measurement result and data alarm output corresponding to the combination of the two types of data alarms and outputs the same to a user as analysis results.

Abstract: Systems for data collection in an industrial environment are disclosed. A system may include a sensor communication circuit to interpret a plurality of sensor data values, a sensor data storage profile circuit to determine a data storage profile, the data storage profile comprising a data storage plan for the plurality of sensor data values. A system may also include a network coding circuit to provide a network coding value in response to the plurality of sensor data values and the data storage profile, and a sensor data storage implementation circuit to store at least a portion of the plurality of sensor data values in response to the data storage profile and the network coding value.

Abstract: Systems and methods to collect, combine, store, and process remote sensing and imaging information as well for agricultural area as a raster image data system for handling both remotely-sensed aerial image data and land-based sensor data, as well as previous agricultural treatments, in order to optimize future agricultural treatments to variable resolutions of the area of vegetation corresponding to that represented by a pixel in a raster image data system of the area.

Abstract: A fertilization design device calculates a fertilization amount of a field to be fertilized and includes the following units. A database reception unit receives one or both of growth data indicating growth potential of the field and soil data indicating plant growth potential of soil in the field and receives position data as position coordinate information for the field. A designated position reception and retrieval unit receives a freely selected position designated by a user and retrieves information of the freely selected position from the position data. A user input fertilization amount value reception unit receives a fertilization amount value freely set by the user for the freely selected position or for a range including the freely selected position. A calibration curve generation unit generates a calibration curve, based on one or both of the growth data and the soil data, the position data, and the fertilization amount value.

Abstract: Apparatus for providing variable speed pump control in a hydronic pump system having a system flow and pressure requirement, featuring a signal processor or processing module configured to: receive signaling containing information about a system characteristic curve, a system flow and pressure requirement for the hydronic pump system, and real time changes by a pump operator to at least one control parameter to adjust the performance of the hydronic pump system; and determine corresponding signaling containing information about a design/redesign of at least one pump, system or control curve to adjust the performance of the hydronic pump system to correspond with the system flow and pressure requirement of the hydronic system, based upon the signaling received.

Abstract: A safety monitoring method and apparatus for an industrial control system include an advantage of quick and accurate detection of an abnormal behavior in the industrial control system. An embodiment of the method includes: providing the first data generated during the process of operating of an industrial control system and performing the first statistics on the first data; providing a result of the first statistics to a user; obtaining an operation performed by the user on the result of the first statistics; determining, based on the operation, a target time period related to the first statistics and the second data satisfying a preset condition in the first data; and obtaining a result of second statistics in the target time period, and based on the result thereof, performing the safety analysis on the industrial control system.

Abstract: An improved solution for estimating the flow rate of a fluid in the wells of a hydrocarbon production installation, during production. A hydrocarbon production installation can include at least two production wells, each production well including at least one device adapted for providing an estimate of the flow rate of a fluid in the well based on respective data, the wells being connected to a test separator adapted for providing an estimate of the cumulative flow rate of the fluid for all of the wells based on respective data. Further, during production, a data reconciliation and validation process can involve the data relative to the devices and the test separator.

Abstract: A substrate storage container management system includes a load port, configured to transfer a substrate into and out of one or more substrate storage containers, including an ID reader configured to read one or more entity IDs for the substrate storage containers, and one or more sensors configured to directly or indirectly detect one or more states of the substrate storage containers, an associator configured to associate the entity IDs read by the ID reader with one or more sensor values detected by the sensors; a database in which data associated by the associator is accumulated, and a data processor configured to analyze the data in the database and to output a state of a respective substrate storage container for each of the entity IDs.

Abstract: A building management system is provided. The building management system includes a database, a trust region identifier configured to perform a cluster analysis technique to identify trust regions, and a regression model predictor configured to utilize a regression model technique to calculate a regression model prediction. The building management system further includes a distance metric calculator configured to calculate a distance metric, an artificial neural network model predictor configured to utilize an artificial neural network model technique to calculate an artificial neural network model prediction, and a combined prediction calculator configured to determine a combined prediction based on the distance metric, the regression model prediction, and the artificial neural network model prediction.

Abstract: Molecular structure may be determined based on structure factors solved from the diffraction pattern and the electron microscopy image of the sample. In particular, the amplitudes of the structure factors may be determined based on intensities of diffraction peaks in the multiple diffraction patterns. The phases of the structure factors may be determined based on electron microscopy images and the intensities of the diffraction peaks.

Abstract: An enclosure system can include an enclosure comprising at least one wall forming a first cavity. The enclosure system can further include a moisture control system in communication with the enclosure, wherein the moisture control system controls at least one condition within the cavity of the enclosure, where the at least one condition affects an amount of moisture within the first cavity. The moisture control system can include a sensor that measures an amount of moisture in desiccant disposed within a desiccant vessel. The moisture control system can include a structural filter and a desiccant vessel, where the structural filter is coupled to an enclosure and disposed within a cavity formed by the enclosure, where the desiccant vessel is removably coupled to the structural filter, and where the desiccant vessel is accessible from outside the enclosure.

Abstract: A system includes a focusing system, a radiation detector, and a controller. The focusing system is configured to receive an incident radiation beam from a radiation source and focus the incident radiation beam on a portion of a component of a high temperature mechanical system. The incident radiation beam scatters from the portion of the component as a diffracted radiation beam. The focusing system is further configured to focus the diffracted radiation beam from the portion of the component on the radiation detector. The radiation detector is configured to detect a diffraction pattern of the diffracted radiation beam from the portion of the component. The controller is configured to determine a temperature of the portion of the component based on the diffraction pattern.

Abstract: A hand held spectrometer is used to illuminate the object and measure the one or more spectra. The spectral data of the object can be used to determine one or more attributes of the object. In many embodiments, the spectrometer is coupled to a database of spectral information that can be used to determine the attributes of the object. The spectrometer system may comprise a hand held communication device coupled to a spectrometer, in which the user can input and receive data related to the measured object with the hand held communication device. The embodiments disclosed herein allow many users to share object data with many people, in order to provide many people with actionable intelligence in response to spectral data.

Abstract: Methods and systems for determining a drop delay of a flow stream in a flow cytometer are provided. Aspects of the methods according to certain embodiments include capturing an image of the flow stream to obtain an imaged flow stream, identifying a disturbance at a break off point in the imaged flow stream and calculating the drop delay of the flow stream based on the identified disturbance. Systems for practicing the subject methods having an imaging sensor for capturing one or more images of the flow stream and a processor configured to identify a disturbance at a break off in the imaged flow stream and calculating the drop delay using the imaged flow stream are also provided. Non-transitory computer readable storage mediums are also described.

Abstract: A fertilization amount information management device and the like are provided with which a manager of a farm field or the like can be free of cumbersome operation of drafting fertilization amount plans for entire farm fields and with which a dedicated fertilization amount plan tailored for an actual condition of each farm field can be drafted. A fertilization amount information management device 10 includes a display unit. Fertilization amount plan information 56 on each of farm field portions that are portions of a farm field is generated based on measured growth information 24 that is growth information on a measured plant and is displayed on the display unit 16. Corrected fertilization amount plan information 65 indicating correction needed for each of the farm field portions is able to be input based on the fertilization amount plan information for each farm field displayed on the display unit.

Abstract: A method includes obtaining data associated with operation of an industrial process controller and identifying impacts of operational problems of the industrial process controller. The method also includes generating a graphical display for a user, where the graphical display presents one or more recommended actions to reduce or eliminate at least one of the impacts of at least one of the operational problems. The method further includes triggering at least one of the one or more recommended actions based on input from the user. The method could also include executing one or more analytic algorithms to process the obtained data and identify the operational problems of the industrial process controller. Each of the one or more analytic algorithms could be instantiated as a container, and multiple containers could be instantiated and executed as needed. Results of executing the one or more analytic algorithms could be transformed into a standard format.

Abstract: Various methods and systems are provided for monitoring and control of soil conditions. In one example, among others, a method includes obtaining aqueous samples from suction probes within a soil substrate and analyzing the aqueous samples to determine a chemical composition of the soil substrate. Amounts of an additive may be determined to adjust the chemical composition of the soil substrate. In another example, a method includes installing a suction probe within a soil substrate; drawing a vacuum to induce hydraulic conduction of aqueous solutions from the soil substrate; extracting an aqueous sample; and analyzing the aqueous sample to determine a chemical composition of the soil substrate. In another example, a method includes obtaining a composition of a fertilizer solution (FS) supplied to a soil substrate and a chemical composition within the soil substrate; determining nutrient utilization, and providing an amount of additive to produce a subsequent FS for supply.

Abstract: Various methods and systems are provided for monitoring and control of soil conditions. In one example, among others, a method includes obtaining aqueous samples from suction probes within a soil substrate and analyzing the aqueous samples to determine a chemical composition of the soil substrate. Amounts of an additive may be determined to adjust the chemical composition of the soil substrate. In another example, a method includes installing a suction probe within a soil substrate; drawing a vacuum to induce hydraulic conduction of aqueous solutions from the soil substrate; extracting an aqueous sample; and analyzing the aqueous sample to determine a chemical composition of the soil substrate. In another example, a method includes obtaining a composition of a fertilizer solution (FS) supplied to a soil substrate and a chemical composition within the soil substrate; determining nutrient utilization, and providing an amount of additive to produce a subsequent FS for supply.

Abstract: Signal processing apparatus includes: an input interface configured to receive an output signal Va(T) from a sensor; a prediction circuit configured to generate, on the basis of a relationship different depending on each of a plurality of converged values Vc, a plurality of predicted values Vb_T2 corresponding to a value of the output signal that would be obtained at a time T2 after a time T1, in a transition response period before a response time period Tr elapses where Tr denotes a response time period required for a value of the output signal Va(T) to become a converged value Vc corresponding to a value P of a parameter representing a certain property of an object to be measured, in accordance with a value Va_T1 of the output signal obtained at the time T1; and an estimation circuit configured to generate, on the basis of the value Va_T2 of the output signal obtained at the time T2 and the plurality of predicted values Vb_T2, an estimated value Pe of a parameter representing the certain property of the obj

Abstract: An electronic smoking article includes a liquid supply region including liquid material and a heater-wick element operable to wick liquid material and heat the liquid material to a temperature sufficient to vaporize the liquid material and form an aerosol. The heater-wick element is formed of a carbon or graphite foam.

Abstract: In an embodiment, a computer-implemented method of selecting locations in a field for treatment sampling is disclosed. The method comprises receiving, by a processor, input data including a number T of treatments applied to a field, a number L of treatment locations for each treatment, a list of treatment polygons within the field, and a map for the field indicating one or more values of a set of design parameters corresponding to environment factors for each of a plurality of locations in the field. The method also comprises computing, by the processor, an environment class index for each of a group of locations in the list of treatment polygons based on the map; distributing the list of treatment polygons to the T treatments based on the computed indices; and selecting, for each of the T of treatments, L treatment locations from the group of locations in the treatment polygons distributed to the treatment.

Abstract: A process control device that includes a process control valve, an actuator, a digital valve controller (“DVC”), and a processor. The actuator is coupled to the process control valve and is configured to control a position of the process control valve. The DVC is communicatively coupled to the process control valve and the actuator. The DVC is configured to obtain first data and second data, the first data associated with a fluid flow through the actuator or the DVC at a first point in time, and the second data associated with the fluid flow through the actuator or the DVC at a second point in time different from the first point in time. The processor is configured to aggregate the first data and the second data, and perform diagnostic and/or prognostic techniques based on the aggregated data.

Abstract: A sensing system includes a sensor assembly that is communicably connected to a computer system, such as a server or a cloud computing system. The sensor assembly includes a plurality of sensors that sense a variety of different physical phenomena. The sensor assembly featurizes the raw sensor data and transmits the featurized data to the computer system. Through machine learning, the computer system then trains a classifier to serve as a virtual sensor for an event that is correlated to the data from one or more sensor streams within the featurized sensor data. The virtual sensor can then subscribe to the relevant sensor feeds from the sensor assembly and monitor for subsequent occurrences of the event. Higher order virtual sensors can receive the outputs from lower order virtual sensors to infer nonbinary details about the environment in which the sensor assemblies are located.

Abstract: An example embodiment may involve a machine learning model representing relationships between a dependent variable and a plurality of n independent variables. The dependent variable may be a function of the n independent variables, where the n independent variables are measurable characteristics of computing devices, and where the dependent variable is a predicted behavior of the computing devices. The embodiment may also involve obtaining a target value of the dependent variable, and separating the n independent variables into n?1 independent variables with fixed values and a particular independent variable with an unfixed value. The embodiment may also involve performing a partial inversion of the function to produce a value of the particular independent variable such that, when the function is applied to the value of the particular independent variable and the n?1 independent variables with fixed values, the dependent variable is within a pre-defined range of the target value.

Abstract: A fermentation system includes a fermentation tank, a plurality of sensors operable to measure a plurality of fermentation system parameters, a plurality of mechanisms operable to control the fermentation system parameters, and a controller in electronic communication with the sensors and with the mechanisms. The controller includes a memory, a receiver circuit, a transmitting circuit, and a control circuit. The memory stores a plurality of recipes each defining user operating instructions and parameter settings. The receiver circuit is configured to receive a batch identification code associated in the memory with one of the recipes. The transmitting circuit is configured to communicate the user operating instructions defined by the associated one of the recipes. The control circuit is configured to operate the mechanisms to adjust the fermentation system parameters in accordance with the parameter settings defined by the associated one of the recipes.

Abstract: Systems and methods for determining liquid phase turbidity of multiphase wastewater. A turbidity sensor is provided with multiphase wastewater, such as by placement of the sensor in a reaction chamber, and generates a signal in response to a detected turbidity of the wastewater. The generated signal is sampled to produce a plurality of signal samples. The samples are compared to a threshold, and a turbidity of the wastewater is determined based on samples falling within the threshold. The threshold may be determined based on a statistical analysis of the plurality of samples, or may be set to a predetermined value. The wastewater may be provided by placing the turbidity sensor in a flocculation chamber, and a control signal generated based on the determined turbidity of the wastewater. This control signal may be used to adjust the amount of a chemical, such as a coagulant, introduced into the wastewater.

Abstract: A method includes controlling an oil and gas extraction process, controlling a production separation process, and controlling a de-gassing process. The method also includes optimizing the oil and gas extraction process, the production separation process, and the degassing process to optimize at least one process objective. The method could further include controlling a lift-gas compression process. The optimizing could include optimizing the lift-gas compression process, the oil and gas extraction process, the production separation process, and the degassing process to optimize the at least one process objective.

Abstract: The present set of embodiments relate to an environmental condition monitoring and control system employing a software based virtual transmitter for a bioreactor or mixer. The system includes a probe for measuring a condition in a bioreactor that can generate a signal. Measured conditions may include pH, DO, temperature, and pressure. The signal can travel to an electronic card capable of converting the signal from analog to digital and the card can then send the converted signal to a digital controller. The condition monitoring and control system eliminates hardware redundancies and increases versatility by then displaying the converted signal in a software-based virtual transmitter on a non-dedicated human machine interface.

Abstract: An aspect of the present disclosure relates to a microsampler for hermetically sealing a sample. In particular, such microsamplers can be useful for encapsulation of chemical, biological, and explosive samples for the purposes of archival sample storage. Methods of making and using such microsamplers are also described herein.

Abstract: In certain embodiments, a system may include at least one optical sensor configured to capture optical data associated with a waste product and a processor coupled to the at least one optical sensor. The processor may be configured to determine information about the waste product based on the optical data and to selectively direct the waste product to a selected destination in response to determining the information.

Abstract: The invention relates to a chemical conversion process and to a process for removing particles from a reaction mixture. The chemical conversion process of the invention includes plasmonic heating of a reaction mixture having at least a one component and plasmonic particles, by exposing the reaction mixture to light having one or more wavelengths which are absorbed by at least part of the plasmonic particles, thereby controlling the reaction rate of one or more chemical reactions.