Abstract: An on-line process control neural network using data pointers allows the neural network to be easily configured to use data in a process control environment. The inputs, outputs, training inputs and errors can be retrieved and/or stored from any available data source without programming. The user of the neural network specifies data pointers indicating the particular computer system in which the data resides or will be stored; the type of data to be retrieved and/or stored; and the specific data value or storage location to be used. The data pointers include maximum, minimum, and maximum change limits, which can also serve as scaling limits for the neural network. Data pointers indicating time-dependent data, such as time averages, also include time boundary specifiers. The data pointers are entered by the user of the neural network using pop-up menus and by completing fields in a template. An historical database provides both a source of input data and a storage function for output and error data.

Abstract: An on-line training neural network for process control system and method trains by retrieving training sets from the stream of process data. The neural network detects the availability of new training data, and constructs a training set by retrieving the corresponding input data. The neural network is trained using the training set. Over time, many training sets are presented to the neural network. When multiple presentations are needed to effectively train, a buffer of training sets is filled and updated as new training data becomes available. The size of the buffer is selected in accordance with the training needs of the neural network. Once the buffer is full, a new training set bumps the oldest training set off the top of the buffer stack. The training sets in the buffer stack can be presented one or more times each time a new training set is constructed.

Abstract: A computer neural network regulatory process control system and method allows for the elimination of a human operator from real time control of the process. The present invention operates in three modes: training, operation (prediction), and retraining. In the training mode, training input data is produced by the control adjustment made to the process by the human operator. The neural network of the present invention is trained by producing output data using input data for prediction. The output data is compared with the training input data to produce error data, which is used to adjust the weight(s) of the neural network. When the error data is less than a preselected criterion, training has been completed. In the operation mode, the neutral network of the present invention provides output data based upon predictions using the input data. The output data is used to control a state of the process via an actuator.

Abstract: An apparatus for delivering substances into living cells and tissues includes an impeller of the type adapted to use an explosive charge for sending a macroprojectile through an accelerator passage into a vacuum chamber. The vacuum chamber is divided into an upper vacuum chamber having an impact receiving plate against which the macroprojectile will impact and a lower vacuum chamber in which the biological material to be impregnated by the substance is located. The substance may be carried by a plurality of microprojectiles adhered to the base of the macroprojectile so that upon impact of the macroprojectile against the impact plate in the upper vacuum chamber the microprojectiles carrying the substance will pass through an aperture in the impact plate and enter the biological material.

Abstract: An on-line process control neural network using data pointers allows the neural network to be easily configured to use data in a process control environment. The inputs, outputs, training inputs and errors can be retrieved and/or stored from any available data source without programming. The user of the neural network specifies data pointers indicating the particular computer system in which the data resides or will be stored; the type of data to be retrieved and/or stored; and the specific data value or storage location to be used. The data pointers include maximum, minimum, and maximum change limits, which can also serve as scaling limits for the neural network. Data pointers indicating time-dependent data, such as time averages, also include time boundary specifiers. The data pointers are entered by the user of the neural network using pop-up menus and by completing fields in a template. An historical database provides both a source of input data and a storage function for output and error data.

Abstract: Methods are described for preparing aluminum nitride of controllable morphology for ceramic and heat conduction applications. The methods comprise forming spherical particles or flakes of an intermediate, RAlNH, followed by heating the spheres or flakes of RAlNH at elevated temperatures to produce high purity aluminum nitride of corresponding morphology. Spheres of RAlNH are formed by (i) freezing a suspension of RAlNH in a liquid medium and thawing, by (ii) aging the suspension, or by (iii) dissolving RAlNH in a liquid medium and precipitating it. Flakes are formed by freezing a suspension of RAlNH in a liquid medium and removing frozen medium from the frozen suspension.

Abstract: The invention is directed to a two-sided magneto-optical recording disk having reduced birefringence comprising a pair of single-sided magneto-optical recording disks, the entire recording sides of which are adhered together by means of a continuous layer of polymeric adhesive. An external mechanical laminating pressure in a vacuum is applied to the non-information areas of the a magneto-optical disk.

Abstract: A neural network for adjusting a setpoint in process control replaces a human operator. The neural network operates in three modes: training, operation, and retraining. In operation, the neural network is trained using training input data along with input data. The input data is from the sensor(s) monitoring the process. The input data is used by the neural network to develop output data. The training input data are the setpoint adjustments made by a human operator. The output data is compared with the training input data to produce error data, which is used to adjust the weights of the neural network so as to train it. After training has been completed, the neural network enters the operation mode. In this mode, the present invention uses the input data to predict output data used to adjust the setpoint supplied to the regulatory controller. Thus, the operator is effectively replaced.

Abstract: A neural network/expert system process control system and method combines the decision-making capabilities of expert systems with the predictive capabilities of neural networks for improved process control. Neural networks provide predictions of measurements which are difficult to make, or supervisory or regulatory control changes which are difficult to implement using classical control techniques. Expert systems make decisions automatically based on knowledge which is well-known and can be expressed in rules or other knowledge representation forms. Sensor and laboratory data is effictively used. In one approach, the output data from the neural network can be used by the controller in controlling the process, and the expert system can make a decision using sensor or lab data to control the controller(s). In another approach, the output data of the neural network can be used by the expert system in making its decision, and control of the process carried out using lab or sensor data.

Abstract: A method of preparing 2-bromo-4,6-dinitromesitylene having only small amounts of impurities, by first mixing fuming sulfuric acid with bromomesitylene, and then adding concentrated nitric acid.

Abstract: Heterocyclic pyrazoline carboxanilide insecticides including all geometric and stereoisomers thereof, as well as agricultural compositions containing them.

Abstract: A pigment dispersant that is useful in a cathodic electrocoating composition is prepared by bringing into contact compound (i), an alkylene carbonate, with a compound (ii) of the structure: ##STR1## where R is and alkyl group having 8-24 carbon atoms, and bringing the resulting reaction product of (i) and (ii) into contact with a half blocked organic diisocyanate; this pigment dispersant has an advantage of allowing for the maximization of pigment to binder ratios and the minimization of volatile organic content (VOC) in electrocoating compositions.

Abstract: This invention relates to a block copolymer containing one or more blocks of a perfluoroether polymer and one or more blocks of a polymer made from selected hydrocarbon monomers, the blocks being connected by connecting segments, each such segment including a group selected from: ##STR1## wherein X is hydrogen or methyl, and Y is dihydrocarbylamino and hydrocarbyloxy.

Abstract: This invention concerns a process for preparing fluoroalkyl substituted olefins, fluorinated ketones and fluorinated aromatic compounds by the catalyzed reaction of fluoroalkylsilanes with selected fluorinated olefins, acyl fluorides and fluorinated aromatic compounds, respectively.

Abstract: A new method of forming composites or laminates into complex shapes has been developed. A process using a die with piercing studs allows control of fibers motion during processing, leading to better composite parts.

Abstract: Batch process control is improved by defining a step endpoint condition in an expert system knowledge base; using the expert system to monitor for the occurrence of the endpoint in the batch process; and triggering a change in a batch process condition when the endpoint is found. Preferably, the expert system and the batch process condition change are implemented as modules which execute under control of timing and sequencing functions in a supervisory control system, and the change affects a setpoint (or other control objective) in a continuous control system. Multiple instances of modular expert systems allow parallel process units to be easily controlled.

Abstract: The present invention relates to new compounds of the formula I ##STR1## as well as their preparation, pharmaceutical preparations containing same, and method of treating acute myocardial infarction.The compounds which possess beta-adrenoceptor blocking activity are very shortacting and are preferably intended for treatment of acute myocardial infarction by administration by means of injection.

Abstract: A pellicle packaging and handling system include a pellicle having a transparent pellicle film extending across a peripheral pellicle frame. A pellicle holder releasably grips the pellicle frame to form a holder/pellicle assembly, the pellicle holder being graspable to handle the holder/pellicle assembly and release the pellicle from the holder. The selectively openable enclosure houses the holder/pellicle assembly with the holder/pellicle assembly releasably retained in a fixed position within the enclosure.

Abstract: A variable TCE composition for making dielectric layers having low dielectric constant and low dielectric loss, the composition comprising an admixture of finely divided solids comprising amorphous crystallizable glass, amorphous borosilicate frit, ceramic expansion control additive, and crystallization control additive. The dielectric layers are useful in circuits especially for high density and high frequency applications.

Abstract: A packaging system for the protection and shipment of photographic film sheets comprises a box including a container and a cover adapted to close over an opening in the container. The container has a flexible tray element inserted within a rigid outer section of the container. The tray element and the cover have cooperative mating members disposed adjacent to the perimeter of the cover for tightly joining together respective surface portions thereof when the cover closes over the opening. The tray element also has an integral retaining lip for exerting pressure on film inserted within the tray element.