Batch verification

Batch signing or batch verification [Fiat90, NRVR95, YeLa95] are additional algorithms to produce or verify several signatures together faster than separately. 

YeLa95 Sung-Ming Yen, Chi-Sung Laih Improved Digital Signature Suitable for Batch Verification IEEE Transactions on Computers 44/7 (1995) 957-959. 

Gaussian is designed to execute as a batch job. It can readily be used with common batch-queueing systems. The program may be purchased as source code or executables and comes with hundreds of sample input and output files. These may be employed as examples of how to construct inputs. They may also be employed to verify that a compilation from source code was successful. In our experience, such verification is essential. 

The GMP details certain requirements for the quahty system, such as the independence and responsibihties of the quahty control unit. It requires such activities as internal audit to monitor GMP conformance, employee training, complaint investigation, failure analysis, and verification of proper manufacture and test by QC prior to release of the batch. 

Storage and receiving are activities that can greatly contribute to a safe and economic operation. It is here that quality control can be achieved at minimal cost. Label verification and other quality assurance measures can increase the confidence level that the correct chemicals have arrived, thereby potentially circumventing the use of wrong chemicals. Wrongly shipped chemicals can be returned to the manufacturer with minimal or no cost to the batch operation owner. As with all processes and activities it is of great importance to apply the principles of inherent safety, in particular the minimization and attenuation principles (CCPS G- 41). 

You may find that the only way you can put your product on the market is by having it tested by an independent test authority. You may need a license to manufacture it or to supply it to certain countries and this may only be granted after independent certification. Some verification requirements only apply to the type of product/service, others to the process or each batch of product, and others to each product or service delivery. Some requirements can only be verified under actual conditions of use. Others can be verified by analysis or similarity with other products that have been thoroughly tested (see Part 2 Chapter 4). The range is so widespread it is not possible in this book to explore all examples, but as you can see, this small and innocuous requirement contains... 

If you do release a batch of product prior to verification being performed and one out of the batch is subsequently found to be nonconforming, you will need to retrieve all others from the same batch. This may not be as simple as it seems. In order to retrieve a component that has subsequently been assembled into a printed circuit board, which has itself been fitted into a unit along with several other assemblies, not only would you need a good traceability system but also one that is constantly in operation. You never can tell when product is going to be needed for urgent production purposes. 

EC verification provides an alternative to the model of establishing a certified production QA system. Independent testing of either all devices, or a statistically representative sample of each batch, is conducted by or on behalf of the Notified Body, which then issues a certificate of conformity for the tests conducted. This is not a popular option due to the costs involved. The procedure is not capable of providing adequate assurance as to the sterility of devices. Instead, an assurance of sterility must be based on the application of a production QA system to the sterilisation process. 

Formal verification that this result actually satisfies Equation (14.13) is an exercise in partial differentiation, but a physical interpretation will confirm its validity. Consider a small group of molecules that are in the reactor at position z at time t. They entered the reactor at time i = t — (zju) and had initial composition a t, z) = ai (t ) = ai (t — z/u). Their composition has subsequently evolved according to batch reaction kinetics as indicated by the right-hand side of Equation (14.14). Molecules leaving the reactor at time t entered it at time t — t. Thus,... 

The source of all biological RMs is new accessions , i.e. a new organism. Once one is received, it is grown in fresh medium and a set of seed stock vials are made along with a distribution batch of vials. Quality control is performed on the seed material and the distribution batch. When the first distribution batch is exhausted, another new lot is made by propagating only from the seed material. The seed stock is always the closest material to the original deposit available for propagation and verification. 

Regular calibration and verification ensures that the parameters measured by a particular instrument can be related to a recognized standard. The frequency of instrument calibration may be quite varied, depending largely on the application. If, during the verification of instrument performance, it has been shown that the instrument stays in calibration for about three months, the calibration would be repeated at approximately two-monthly intervals. However, verification (system suitability) will be carried out each time samples are analysed. For some critical analyses, calibration may be performed for each batch of samples or, in an extreme case, for each separate sample. 

One experimental series has been carried out, besides the verification work. It is obvious that the course of the batch conversion is highly stochastic, which primarily depends on the heterogeneity of the wood fuel itself. Other influential quantities for the course of the conversion are the ignition procedure, the conversion system temperature, and the initial mass of batch. Due to the random behaviour of the conversion process, several tests for the same condition should have been performed. 

Process Verification. Unless otherwise specified, provess verification used as the inspection shall be subject to Government verification at the time the first batch is prepared and at random intervals during the production, but not less than once during each week of continuous operation. Verification will consist of surveillance of the process and related equipment to determine that practices, methods and procedures are being properly applied, and that the products are produced under the requirements of this specification. A record shall be made of each batch of explosive prepared to insure that the following requirements have been met ... 

Determination of Calcium Silicate. When specified by the procuring activity (See 6.2), Calcium Silicate used in the HBX H-6 compositions shall be determined by visual verification of the weight of calcium silicate added to the batch. Quantities added shall be calculated in terms of weight percent of TNT content... 

The final step in producing an excipient batch is Quality Release, which involves the verification that all necessary records are properly completed for the batch in question. Upon completion of this task and with approval from the Quality Unit, the lot of excipient is suitable for sale. 

Verification of the destruction of mustard in HD hydrolysates has not presented the same technical challenges as VX, but it does require the use of NMR analysis, which takes four to six hours to measure both mustard and sulfonium ions (U.S. Army, 1998b). Verification of agent destruction also constitutes a critical path item in the operational cycle of each facility. Currently, analysis of each batch of hydrolysate takes six hours, provided that reliable analytical results are obtained from the first analysis. Thus, reducing the time required to verify agent destruction in process streams would significantly improve the overall processing efficiency and schedule. 

Furthermore, since most large-scale fermentations are carried out in batch mode, the kinetic parameters determined by the chemostat study should be able to predict the growth in a batch fermenter. However, due to the significantly different environments of batch and continuous fermenters, the kinetic model developed from the CSTF runs may fail to predict the growth behavior of a batch fermenter. Nevertheless, the verification of a kinetic model and the evaluation of kinetic parameters by running chemostat is the most reliable method because of its constant medium environment. 

Critical parameters and related means of controls Responsibilities of each of the groups participating Cleaning validation/verification requirements Master batch components (percentage by weight)... 

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