Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Sequence models

The Important Sequence Model module does sensitivity studies and importance rankings for about a thousand highest frequency sequences. The analyst zooms to the most frequent plant damage category, to the most frequent sequences in that category, to the most important top event, to the most important split fraction, and to the most important cutsets. If sensitivity analysis is needed on the model as a whole, a menu option, "CLONE a Model," makes a copy of the model, c hange,s are made, and results compared. [Pg.143]

Accident Sequence Modeling using a logic model for the facility was developed. The model included all initiators of potential accidents and the response of the installation to these initiators. Specific accident sequences are defined in event trees consisting of an initiating... [Pg.446]

Failure sequence modeling techniques such as fault tree analysis or event tree analysis are used to estimate tlie likelihood of incidents in facilities where historical data is unai ailable, or is inadequate to accurately estimate tlie likelihood of the liazardous incidents of concern. Otlier modeling tecluiiques may be required to consider tlie impact of external events (eartliquakes, floods, etc.), common cause failures, and human factors and hmnan reliability. [Pg.516]

Cause-consequence analysis serx es to characterize tlie physical effects resulting from a specific incident and the impact of these physical effects on people, the environment, and property. Some consequence models or equations used to estimate tlie potential for damage or injury are as follows Source Models, Dispersion Models, Fire Explosion Models, and Effect Models. Likelihood estimation (frequency estimation), cliaractcrizcs the probability of occurrence for each potential incident considered in tlie analysis. The major tools used for likelihood estimation are as follows Historical Data, Failure sequence modeling techniques, and Expert Judgment. [Pg.535]

Contextual design is a flexible software design approach that collects multiple customer-centered techniques into an integrated design process [7]. The approach is centered around contextual inquiry sessions in which detailed information is gathered about the way individual people work and use systems and the associated information flow. The data from each contextual inquiry session are used to create sequence models that map the exact workflow in a session along with any information breakdowns, flow models that detail the flow of information between parties and systems (much akin to but less formal... [Pg.234]

Pinto, J.M. and Grossmann, I.E. (1998) Assignments and sequencing models of the scheduling of process systems. Annals of Operations Research, 81,... [Pg.182]

Finally, consider the Kurzweil Cybernetic Poet, a computer poetry program that uses human-written poems as input to create new poems with word-sequence models based on the poems it has just read. When these computer poems are placed side by side with human poems, it is difficult to determine which poems were made by humans and which by the Cybernetic Poet. [Pg.65]

All solvents and chemicals were purchased from Aldrich and were analytical grade if not given otherwise. FmocOSu and protected L-amino acids were purchased from Chemlmpex Inc, Wood Dale, IL. Perkin-Elmer/ Apphed Biosystems protein sequencer (model 494) was used for the sequencing of the peptides. [Pg.278]

The outputs of the conceptualization period can include operational checks/sequencing models. A new or updated concept document is produced during this phase. [Pg.206]

Linear response polarizability theory of spectral bandshapes was applied to the numerical analysis of the chiroptical spectra obtained for DNA-acridine orange complexes [85]. After analysis of various models of conformation, it was concluded that a dimer-pairs repeating sequence model was best able to account for the observed spectral trends. In another work, the CD induced in the same band system was studied at several ionic strengths [86]. The spectra were able to be interpreted in terms of the long-axis-polarized electronic transitions of the dyes, with the induced CD being attributed to intercalated and non-intercalated dye species superimposed by degenerate vibronic exciton interactions between these. [Pg.333]

Sequencing was done in ABI protein sequencer models 470,477, or 473 using Blott Cartridges and using standard cycles and conditions for sequencing from PVDF membranes. Data acquisition and analysis was done using ABI 610 software. [Pg.194]

Automated Edman degradation of protein and peptide samples were performed using an Applied Biosystems sequencer (Model 470A or 477A) or a Hewlett Packard G1005A sequencer. Each sequencer was fitted with an on-line HPLC analyzer for the identification of phenylthiohydantoin derivatives. [Pg.279]

These main sequence models at the H-limit can certainly not be related to LBVs, but perhaps rather to B[e] stars the material of stars at the Q-limit which has excess angular momentum can not remain on the star but it is also not clear whether it can be pushed to infinity some of it may form a ring or disk close to the star. However, as the mass loss rate at the H-limit depends on the evolutionary speed of the star in the HR diagram, one can expect values of the order 10 5 M0 yr-1 x th/tkh for the expansion phase after core H-exhaustion, when the star hits the fl-limit again due to the helium opacity peak. Here, th is the H-burning time scale and tkh the thermal time scale of the star, such that values of Mq of the order of 10 3 — 10 2 M0 yr-1 can be expected, which is the order of magnitude observed for LBVs. [Pg.70]

The predominant approach to sequence motif discovery is the focused approach, which searches for novel motifs in a set of unaligned DNA or protein sequences suspected to contain a common motif. We discuss how the sequences can be selected in the next section. RE-based motif discovery algorithms for the focused approach search the space of all possible REs either exhaustively or heuristically (incompletely). Their objective is usually to identify the REs whose matches are most over-represented in the input sequences (relative to a background sequence model, randomly generated background sequences, or a set of negative control sequences). PWM-based motif discovery algorithms search the space of PWMs for motifs that maximize an objective function that is usually equal to (or related to) log likelihood ratio of the PWM ... [Pg.277]

A Reaction Sequence Model for Flexible Urethane Foam... [Pg.127]

In this paper, instrumental means are used to obtain a physical description of the rise of urethane foam and cell opening. Infrared analysis is used to identify the chemical species present in reacting foam and to determine the order and relative rates of reaction of these species. From these data, a reaction sequence model is deduced for the process of making stable, water-blown urethane foam. [Pg.130]

The objective of these studies has been to develop a reaction sequence model for flexible urethane foam which would account for the physical stages in the foaming process evident from foam rise measurements. In Figure 18, a generalized rise profile and gel profile" is used to summarize the reaction sequence model. [Pg.146]

Abstract. Infrared analysis of reacting foams has been used to determine the sequence of chemical reactions that occurs in the foaming process and to relate this sequence of reactions to the stages evident in the formation of foam measured by rate-of-rise techniques. A reaction sequence model has been developed in which at the earliest stage of foaming, out-of-phase carbamic acid and carbamic acid salts, formed by hydrolysis of isocyanate, are the main species present tending to stabilize the froth-like foam. These species are in turn converted into polyureas. In the latter stages of the reaction sequence, urethane formation becomes predominant as the foam develops substantial bulk modulus... [Pg.146]

Famoux et al. have interpreted their result with the thermic sequence model (see Chapter 13, Section 1.6.3). We recall that in this model, the long sequences have a Kuhnian behaviour. The form function associated with this model is calculated [see (13.1.174)] as a function of the parameters x = q2 °R2/6 and t = SJS (see Table 15.6 for the values of t). The expression of the form function is... [Pg.747]

There was a special decree as to the manner in which the warrior of these middle centuries should put on his elaborate armor a sequence modeled after the fashion or fancy of no... [Pg.69]

Homology sequence modeling between ALAS and enzymes of the a-family of PLP-dependent enzymes indicated that arginine-439 (R439) of murine ALAS2 is a conserved residue in this family of PLP-dependent enzymes (Figure 2-5). Moreover, this conserved arginine in several enzymes, e.g. aspartate aminotransferase, for... [Pg.27]


See other pages where Sequence models is mentioned: [Pg.140]    [Pg.97]    [Pg.564]    [Pg.174]    [Pg.331]    [Pg.423]    [Pg.26]    [Pg.535]    [Pg.179]    [Pg.194]    [Pg.343]    [Pg.510]    [Pg.146]    [Pg.274]    [Pg.146]    [Pg.379]    [Pg.399]   
See also in sourсe #XX -- [ Pg.234 ]




SEARCH



Accident sequence model

Bernoullian model sequence distributions

Calculation sequence for the simplified turbine model

Causal-sequence models

First-order Markov model sequence distributions

Homology modeling sequence-structure-function prediction

Model building amino acid sequences

Model building sequence homology

Model peptide sequences

Modelling of Accident Sequences

Protein sequence model building

Proteinase modeling sequence activity

Sequence Alignment and Modeling

Sequence activity modeling

Sequence structure models

Sequencing Graph and Resource Model

Sequencing graph model

Signal sequences model

Summary of Sequencing Graph Model

© 2024 chempedia.info