Balances accuracy

In the unit, the heat of reaction is a useful tool. It is an indirect indication of heat balance accuracy. Trending the heat of reaction on a regular basis provides insight into reactions occurring in the riser and the effects of feedstock and catalyst changes. 

Since most chemicals caused different phenotypic outcomes between the rats and rabbits, species-specific models were analyzed, with 251 chemicals evaluated in the rat model and 234 in the rabbit (Fig. 2). Cross-validation balanced accuracies in the resulting classification models were 71% for the rat model (12 features), and 74% for the rabbit model (7 features). Each model contained positive predictors or assay features generally affected by the developmental toxicants (as defined above) and negative predictors or assay features that were generally affected by the nondevelopmen-tal toxicants (as defined above). 

If you have determined that your balance is making inaccurate measurements and you have eliminated human error, you not only cannot trust any future weighings, you must question all past weighings to the point of the last balance verification. By maintaining written records of balance accuracy tests on a routine basis, the reliability of past measurements can be verified. Otherwise, every weighing made between the last verification and the first appearance of faulty readings is in... 

RNA Structure prediction models represent a tractable method to realize this sequence-to-structure goal by balancing accuracy with computational efficiency. Many of the discussed models and metrics such as radius of g5mation [45] are derived from successful protein structure prediction models. As RNA biology is further quantified and the structure prediction field progresses, new techniques to better predict structure may arise. From the models presented, several improvements are evident ... 

In addition to the mRNA levels of 1L6 and 1L8, also established endpoints were measured with the best batch of HPTC (HPTCl, HPTC displayed interdonor variability) and hESC-derived HPTC-Uke cells. These endpoints included ceU viability, ATP depletion, GSH depletion, and LDH leakage. In aU cases the predictivity was substantially lower and the balanced accuracy ranged between 0.60 and 0.69, depending on the endpoint, hi contrast, the respective values for balanced accuracy were 0.90 (HPTCl) and 0.76 (hESC-derived HPTC-like ceUs) when 1L6/IL8 upregulation was used as endpoint. These results show that not only the selection of the ceU model is important, but also the endpoints must be carefully considered, hi the cases discussed here, good predictivity was only obtained when 1L6/IL8 expression was measured. 

Prediction of Drug-Induced PT Toxicity and Injury Mechanisms with an hiPSC-Based Model and Machine Learning Methods The weak points of the HPTC- and hESC-based models described previously (Sections 23.3.2.1 and 23.3.3.1) were the data analysis procedures. In order to improve result classification, the raw data obtained with three batches of HPTC and the 1L6/1L8-based model (Li et al., 2013) were reanalyzed by machine learning (Su et al., 2014). Random forest (RE), support vector machine (SVM), k-NN, and Naive Bayes classifiers were tested. Best results were obtained with the RF classifier and the mean values (three batches of HPTC) ranged between 0.99 and 1.00 with respect to sensitivity, specificity, balanced accuracy, and AUC/ROC (Su et al., 2014). Thus, excellent predictivity could be obtained by combining the lL6/lL8-based model with automated classification by machine learning. 

The coupons of the three racks were 3 mm thick discs with diameters of 100 or 70 mm and a 30 mm central hole. The coupons of rack 1 were assembled, either individually or as couples, and were separated with ceramic insulating discs. The coupons of racks 2 and 3 were similar in diameter. Unlike the coupons of rack 1, those of rack 2 appeared polished. The coupons in all the racks included small SS 316 discs. Prior to disassembly and coupon preparation, the racks were stored away from corrosive chemicals. Coupon preparation consisted of degreasing with ethyl alcohol followed by rinsing with deionized water. The coupons were then dried, weighed in a VLR-200 analytical balance (accuracy 0.0005 g), assembled in the rack and placed in the spent fuel pool of the MIR reactor. 

A typical e-value for an anal3 tical balance (acciuacy class I) is 0.001 g, indicating an operational inaccuracy limit of 0.001 g in the lower part of the weighing range. For less sensitive precision balance (accuracy class II) a typical e-value is 0.1 g. 

The number of ties that contribute significantly to the system response depends on the train speed. The number of significant ties should be chosen to balance accuracy and computational efficiency. 

A weighing instrument is commonly tested by loading it with calibrated mass standards and then ascertaining whether the displayed weight values are accurate, meaning that each result corresponds to the value of the test standard within some predetermined tolerance limits. In the most elementary check of balance accuracy, a single test mass is placed once on the balance. This is a test that is often performed for extra assurance in critical ap>-plications. 

In predictor-corrector algorithms time derivatives of the position vectors at time t are used to predict the positions and their derivatives at time H- At. The predicted variables then are corrected according to the difference from those at time t, where a set of Gear constants are used. The latter are chosen to balance accuracy and stability, that is, short- and long-time conservation of energy. Optimized values depend on the order of the Taylor expansion ( order of the algorithm ). 

The use of such an approximation does not change the value of the solution that we obtain, as at a solution jCs, f xs) = 0 and Ax = (51 1) /(x ) = 0 no matter the value of 5l l (provided that it is nonsingular). This allows some freedom in the choice of. 61 1 to balance accuracy in the approximation of the true Jacobian against computational efficiency. 

Balance (accuracy 0.001 g) with automatic weight change registration... 

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