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In screening

Early fluorescent pigments were promoted and adopted for use in screen inks for poster boards and paints for safety applications. These thermoset pigments were not well-suited because of their poor fightfastness. Also, because of their relatively coarse particle size, their use in thinner film applications, such as gravure or flexo, was limited. [Pg.294]

S. G. Wentink and S. D. Koch, ed., UV Curing in Screen Printingfor Printed Circuits and the Graphics Arts, Technology Marketing Corp., Norwalk, Coim., 1981. [Pg.435]

Bentonite has expected sihca content of 0.5 weight percent (F is 0.005). Silica density (A ) is 2.4 gm per cii cm, and bentonite (Ag) is 2.6. The calculation requires knowledge of mineral properties described by the factor (fghd ). Value of the factor can be estabhshed from fundamental data (Gy) or be derived from previous experience. In this example, data from testing a shipment of bentonite of 10 mesh top-size screen analysis determined value of the mineral factor to be 0.28. This value is scaled by the cube of diameter to ys-in screen size of the example shipment. The mineral factor is scaled from 0.28 to 52 by multiplying 0.28 with the ratio of cubed 9.4 mm (ys-in screen top-size of the shipment to be tested) and cubed 1.65 mm (equivalent to 10 mesh). [Pg.1757]

Sample weight estimated in this example is for two standard errors of 2.5 percent (resulting in V of 1.56) for testing iron ore (hematite) retained on a f4-in screen. Estimate of G is 5.5 for 94.5 percent of weight passing. Particle weight... [Pg.1757]

Variables in Screening Operations It will readily be seen that many variables in a screening operation can easily be changed in the... [Pg.1774]

The method used for grinding pressed cakes depends upon the nature of the cake, its purity, residual oil, and moisture content. If the whole cake is to be pulverized without removal of fibrous particles, it may be ground in a hammer mill with or without air classification. A 15-kW (20-hp) hammer mill with an air classifier, grinding pressed cake, had a capacity of 136 kg/h (300 Ib/h), 90 percent through No. 200 sieve a 15-kW (20-lm) screen-hammer mill grinding to 0.16-cm (Vi6-in) screen producea 453 kg/h (1000 Ib/h). In many cases the hammer mill is used merely as a preliminaiy disintegrator, followed by an attrition mill. Typical performance of the attrition mill is given in Table 20-25. A finer product may be obtained in a hammer mill in closed circuit with an external screen or classifier. [Pg.1866]

The third source type option in SCREEN is for area sources, which is selected by entering A or a for source type. The area source algorithm in SCREEN is based on a numerical integration approach, and allows for the area source to be approximated by a rectangular area. The inputs requested for area sources are as follows ... [Pg.311]

Note that for stable conditions and/or mixing heights greater than or equal to 10,000 m, unlimited mixing is assumed and the summation term is assumed to be zero, as noted by expressions presented earlier in this chapter. Equation (9) is used to model the plume impacts from point sources, flare releases, and volume releases in SCREEN. The SCREEN volume source option uses a virtual point source approach. The model uses a numerical integration algorithm for modeling impacts from area sources. [Pg.314]

The mixing height used in SCREEN for neutral and unstable conditions (classes A-D) is based on an estimate of the mechanically driven mixing height. The mechanical mixing height, z (m), is calculated (Randerson, 1984) as ... [Pg.316]

If still greater force is required, a positive pressure in excess of atmospheric can be applied to the suspension by a pump. This motive force may be in the form of compressed air introduced in a montejus, or the suspension may be directly forced through a pump acting against the filter medium (as in the case of a filter press), or centrifugal force may be used to drive the suspension through a filter medium as is done in screen centrifuges. [Pg.75]

When starting our first experiments with available ionic liquids, in screening programs to identify suitable systems, we encountered several difficulties such as pH shifts or precipitation. More generally, the following aspects should be taken into account when ionic liquids are used with biocatalysts ... [Pg.338]

A major consideration in screening is the detection capability of the screen for both false negatives (lack of detection of an active drug) and propensity to find false positives (detection of a response to the compound not due to therapeutic activity of interest). Ostensibly, false positives might not be considered a serious problem in that secondary testing will detect these and they do not normally interfere with the drug discovery process. [Pg.152]

There is evidence to suggest that drug-like structures exist in clusters in chemical space (privileged structures). Identification of these can greatly enhance success in screening. [Pg.172]


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See also in sourсe #XX -- [ Pg.152 ]




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Advantages of the Enzyme-Based Electrochemical Genosensors in Detecting Bacteria on Screen-Printed Carbon Chips

Affinity-Based Screening Methodologies and Their Application in the Hit-to-Lead Phase

Algorithmic Engines in Virtual Screening

Antiviral screening assays in vitro

Application of PSA in Virtual Screening

Application of Pharmacophore Models in Virtual Screening

Application of Scoring Functions in Virtual Screening

Applications and Success Stories in Virtual Screening

Applications of In Vitro Skin Impedance Guided High-Throughput Screening

Assay for Screening Lipases or Esterases in the Kinetic Resolution of Chiral p-Nitrophenyl Esters

Dioxin Screening in Food and Feed

Discovery Toxicology Screening Predictive, In Vitro Cytotoxicity

Early Attempts To Introduce Area Screening in SWPA

Effect of Screening and Pumping Rate on Measured Concentrations in a Heterogeneous Aquifer

Effects in Orbital Screening

Enrichment in virtual screening

Example D-optimal design for screening of variables in enamine synthesis

Example Selection of Lewis acid catalysts in screening experiments

Feature Trees in Similarity Searching and Virtual Screening

Flexible Protein Handling in Docking-Based Virtual Screening

Fragment-Based Approaches in Virtual Screening

Genome-wide Computational Screen for Candidate HIF Target Genes in Drosophila melanogaster and Caenorhabditis elegans

Glossary of Hazards (included in the Green Screen)

High Throughput Screening in Agrochemical Research

High-Throughput Screening in Chemical Catalysis

Implementation of Cheminformatics Concepts in Structure-based Virtual Screening

In Vitro Screening of Validated Plasmodium Kinases

In silica screening

In toxicology screens

In toxicology screens drugs of abuse” panel

In toxicology screens interferences and

In vitro ADME screening

In vitro ADME screens

In vitro drug screening

In vitro screening

In vivo drug screening

In vivo pharmacokinetic screening

In-house screening

In-silico screening

LARGE AREA SMOKE SCREENS IN THE MTO

Ligand-based in silico screening

Light Screen in Eyes

MFTA Models in Virtual Screening

Machine-learning in virtual screening

Nonlinear screening of ions in metals

Permeability Screening in Different Phases of Discovery

Post-Receptorome Screening Data Implicate 5-HT2b Receptors in Drug-Induced VHD and PH

Protein Flexibility in Structure-Based Virtual Screening From Models to Algorithms

Reactor Configuration for Catalyst Screening in Transient Mode

Scoring in virtual screening

Screen in-silico

Screening Studies in Laboratory

Screening in Crop Protection Research

Screening in dense polymer systems

Screening in semi-dilute solutions

Screening in semiconductors

Screening of variables in a Willgerodt-Kindler synthesis

Screens in Safety and Hazard Assessment

Significant effects in screening experiments

Specify Hazard Criteria for Each Benchmark in the Green Screen

Statistics in biological screening

Stencil cleaning in screen printing machines

Steps to be taken in a screening experiment

Structure-based in silico screening

Toxicity in toxicology screens, interferences and

Virtual Screening in Drug Design

WIDE-SCOPE SCREENING OF ILLICIT DRUGS IN URBAN WASTEWATER BY UHPLC-QTOF MS

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