779 research outputs found
Use of Non-distractive Testing AU-E Technology to Evaluate Hearth Conditions at CherMK–SEVERSTAL
Intensive operation of blast furnace allows increase in production of hot metal and profitability of Iron & Steel Works. However, blast furnace life could be sacrificed if no measures are taken to protect refractory lining and to build stable accretion. CherMK and Hatch developed a systematic approach to monitor conditions of BF hearth lining using Acousto Ultrasonic-Echo (AU-E) non-destructive testing developed by Hatch. Multiple testing of blast furnaces revealed problematic areas with accelerated refractory deterioration and minimal thickness, formation of elephant foot, extent of accretion and speed of refractory wear, cracks and other anomalies. Improvement in coke quality, periodical staves washing, the addition of titania, grouting, etc., were recommended and implemented to prolong furnace life while maintaining the intensity of furnace operation.
Keywords: blast furnace inspection and monitoring, non-destructive testing (NDT), refractory deterioration, blast furnace campaig
Majority Rule Dynamics in Finite Dimensions
We investigate the long-time behavior of a majority rule opinion dynamics
model in finite spatial dimensions. Each site of the system is endowed with a
two-state spin variable that evolves by majority rule. In a single update
event, a group of spins with a fixed (odd) size is specified and all members of
the group adopt the local majority state. Repeated application of this update
step leads to a coarsening mosaic of spin domains and ultimate consensus in a
finite system. The approach to consensus is governed by two disparate time
scales, with the longer time scale arising from realizations in which spins
organize into coherent single-opinion bands. The consequences of this
geometrical organization on the long-time kinetics are explored.Comment: 8 pages, 2-column revtex format, 11 figures. Version 2: minor changes
in response to referee comments and typos corrected; final version for PR
Building a technology for mass organisation of distance learning for students in quarantine based on the Moodle platform
The COVID-19 pandemic has necessitated the rapid transition to distance learning for students worldwide. This paper examines the current state of distance learning implementation in secondary schools of the Zhytomyr region in Ukraine. A survey of 2445 teachers found that most were using various software tools for distance learning without a unified learning management system. Analysis of the Moodle, Google Classroom, and "My Class" platforms showed Moodle to have significant advantages for supporting distance learning. To enable schools to leverage Moodle, an "Educational Portal for Secondary School" was developed at Zhytomyr Polytechnic State University using the Moodle platform. Based on this Moodle portal, the paper proposes a technology for the mass organisation of distance learning during quarantine. The technology combines the tools, electronic resources, course structure, and tutor competencies required for effective distance learning implementation
Phase separation of the Potts model in que square lattice
When the two dimensional q-color Potts model in the square lattice is
quenched at zero temperature with Glauber dynamics, the energy decreases in
time following an Allen-Cahn power law, and the system converges to a phase
with energy higher than the ground state energy after an arbitrary large time
when q>4. At low but finite temperature, it cesses to obey the power-law regime
and orders after a very long time, which increases with q, and before which it
performs a domain growth process which tends to be slower as q increases. We
briefly present and comment numerical results on the ordering at nonzero
temperature.Comment: 3 pages, 1 figure, proceedings of the "International Workshop on
Complex sytems", June 2006 in Santander (Spain
Distribution of dwell times of a ribosome: effects of infidelity, kinetic proofreading and ribosome crowding
Ribosome is a molecular machine that polymerizes a protein where the sequence
of the amino acid residues, the monomers of the protein, is dictated by the
sequence of codons (triplets of nucleotides) on a messenger RNA (mRNA) that
serves as the template. The ribosome is a molecular motor that utilizes the
template mRNA strand also as the track. Thus, in each step the ribosome moves
forward by one codon and, simultaneously, elongates the protein by one amino
acid. We present a theoretical model that captures most of the main steps in
the mechano-chemical cycle of a ribosome. The stochastic movement of the
ribosome consists of an alternating sequence of pause and translocation; the
sum of the durations of a pause and the following translocation is the time of
dwell of the ribosome at the corresponding codon. We derive the analytical
expression for the distribution of the dwell times of a ribosome in our model.
Whereever experimental data are available, our theoretical predictions are
consistent with those results. We suggest appropriate experiments to test the
new predictions of our model, particularly, the effects of the quality control
mechanism of the ribosome and that of their crowding on the mRNA track.Comment: This is an author-created, un-copyedited version of an article
accepted for publication in Physical Biology. IOP Publishing Ltd is not
responsible for any errors or omissions in this version of the manuscript or
any version derived from it. The definitive publisher authenticated version
is available online at DOI:10.1088/1478-3975/8/2/02600
Stochastic kinetics of ribosomes: single motor properties and collective behavior
Synthesis of protein molecules in a cell are carried out by ribosomes. A
ribosome can be regarded as a molecular motor which utilizes the input chemical
energy to move on a messenger RNA (mRNA) track that also serves as a template
for the polymerization of the corresponding protein. The forward movement,
however, is characterized by an alternating sequence of translocation and
pause. Using a quantitative model, which captures the mechanochemical cycle of
an individual ribosome, we derive an {\it exact} analytical expression for the
distribution of its dwell times at the successive positions on the mRNA track.
Inverse of the average dwell time satisfies a ``Michaelis-Menten-like''
equation and is consistent with the general formula for the average velocity of
a molecular motor with an unbranched mechano-chemical cycle. Extending this
formula appropriately, we also derive the exact force-velocity relation for a
ribosome. Often many ribosomes simultaneously move on the same mRNA track,
while each synthesizes a copy of the same protein. We extend the model of a
single ribosome by incorporating steric exclusion of different individuals on
the same track. We draw the phase diagram of this model of ribosome traffic in
3-dimensional spaces spanned by experimentally controllable parameters. We
suggest new experimental tests of our theoretical predictions.Comment: Final published versio
Експериментальне дослідження радіальних газових підвісів
Стаття присвячена експериментальному дослідженню газових підшипників, розробці методики експериментального виміру відновленого моменту у газостатичних циліндричних газових підвісах при асиметричному навантаженні.Статья посвящена эксперементальному исследованию газовых подшипников, разроботки методики эксперементального измерения восстанавливаюшего момента в газостатических цилиндрических газовых подвесах при ассиметрическом нагружении.The paper considers the experimental research of gas ball bearing, the development of methodics for experimental measurement of the renovated moment in gas static cylinderof gas ball bearing under the asymmetric loading
Particles Sliding on a Fluctuating Surface: Phase Separation and Power Laws
We study a system of hard-core particles sliding downwards on a fluctuating
one-dimensional surface which is characterized by a dynamical exponent . In
numerical simulations, an initially random particle density is found to coarsen
and obey scaling with a growing length scale . The structure
factor deviates from the Porod law in some cases. The steady state is unusual
in that the density-segregation order parameter shows strong fluctuations. The
two-point correlation function has a scaling form with a cusp at small argument
which we relate to a power law distribution of particle cluster sizes. Exact
results on a related model of surface depths provides insight into the origin
of this behaviour.Comment: 5 pages, 5 Postscript figure
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