122 research outputs found
Integer programming based solution approaches for the train dispatching problem
Railroads face the challenge of competing with the trucking industry in a fastpaced environment. In this respect, they are working toward running freight trains on schedule and reducing travel times. The planned train schedules consist of departure and arrival times at main stations on the rail network. A detailed timetable, on the other hand, consists of the departure and arrival times of each train in each track section of its route. The train dispatching problem aims to determine detailed timetables over a rail network in order to minimize deviations from the planned schedule. We provide a new integer programming formulation for this problem based on a spacetime network; we propose heuristic algorithms to solve it and present computational results of these algorithms. Our approach includes some realistic constraints that have not been previously considered as well as all the assumptions and practical issues considered by the earlier works
Determination of Chemisorption Probabilities of Hydrogen Molecules on a Nickel Surface by Artificial Neural Network
Dissociative chemisorption probabilities for H2(v, j) + Ni(100) collision systems have been estimated
by using Artificial Neural Network (ANN). For training, previously determined probability
values via molecular dynamics simulations have been used. Performance of the ANN, for
predicting any quantities in the molecule-surface interaction, has been investigated. Effects of
the surface sites and the rovibrational states of the molecule on the process are analyzed. The
results are in good agreement with the related previous studies
Structural and energetic properties of nickel clusters:
The four most stable structures of Ni clusters with from 2 to 150
have been determined using a combination of the embedded-atom method in the
version of Daw, Baskes and Foiles, the {\it variable metric/quasi-Newton}
method, and our own {\it Aufbau/Abbau} method. A systematic study of
energetics, structure, growth, and stability of also larger clusters has been
carried through without more or less severe assumptions on the initial
geometries in the structure optimization, on the symmetry, or on bond lengths.
It is shown that cluster growth is predominantly icosahedral with of
{\it fcc}, {\it tetrahedral} and {\it decahedral} growth. For the first time in
unbiased computations it is found that Ni is the multilayer (third
Mackay) icosahedron. Further, we point to an enhanced ability of {\it fcc}
clusters to compete with the icosahedral and decahedral structures in the
vicinity of N=79. In addition, it is shown that conversion from the {\it
hcp}/anti-Mackay kind of icosahedral growth to the {\it fcc}/Mackay one occurs
within a transition layer including several cluster sizes. Moreover, we present
and apply different analytical tools in studying structural and energetic
properties of such a large class of clusters. These include means for
identifying the overall shape, the occurrence of atomic shells, the similarity
of the clusters with, e.g., fragments of the {\it fcc} crystal or of a large
icosahedral cluster, and a way of analysing whether the -atom cluster can be
considered constructed from the -atom one by adding an extra atom. In
addition, we compare in detail with results from chemical-probe experiment.
Maybe the most central result is that first for clusters with above 80
general trends can be identified.Comment: 37 pages, 11 figure
Distributive politics and regional development: assessing the territorial distribution of Turkey’s public investment
Turkey is often perceived as a country with low bureaucratic capacity and prone to political manipulation and ‘pork-barrel’. This article tests whether this is the case, by analysing the extent to which politics, rather than equity and efficiency criteria, have determined the geographical allocation of public investment across the 81 provinces of Turkey between 2005 and 2012. The results show that although the Turkish government has indeed channelled public expenditures to reward its core constituencies, socioeconomic factors remained the most relevant predictors of investment. Moreover, in contrast to official regional development policy principles, we uncover the concentration of public investment in areas with comparatively higher levels of development. We interpret this as the state bureaucracy’s intentional strategy of focussing on efficiency by concentrating resources on ‘the better off among the most in need’
Smooth muscle cell function and organization of the resistance artery wall
Remodeling of the vascular wall occurs in several cardiovascular pathologies. A structural change in diameter necessarily involves reorganization in both cellular and extracellular matrix components. The significance of matrix remodeling in vascular pathologies is well appreciated, while plasticity of vascular smooth muscle cells (SMC) received less attention. Such contractile plasticity is defined as a change of the diameter-dependent capacity for active force generation. The aim of this thesis is to investigate how small arteries maintain their stability and functionality, from a biomechanical perspective, during physiological and pathological remodeling. We propose that vascular SMC plasticity is an important process in inward remodeling of small arteries. The most important findings were; the contractile properties of SMCs in resistance vessels are subject to rapid changes. Such contractile plasticity is influenced by externally imposed vasoconstriction and strain. Vasoconstrictors and specifically ET-1 induced inward SMC plasticity in small arteries while chronic strain results a shift of tension generating capacity to larger diameters. This process may maintain optimal matching of SMC and matrix biomechanics during growth and remodeling. The work contributes to a better understanding of vascular wall biomechanics and adaptation, and may lead to new options for diagnosis and treatment of cardiovascular diseases
Sickle cell anemia patient with sarcoidosis-associated inguinal lymph node and lung infiltration
PubMedID: 16035582Sarcoidosis is a chronic, systemic inflammatory disease of unknown etiology, characterized by noncaseating granulomatous infiltration of any organ. Sickle cell anemia (SCA) is the homozygoid form of sickle cell disease (SCD), which includes a group of genetic disorders characterized by production of an abnormal hemoglobin S (HbS). There are a few case reports with coexistence of sarcoidosis and SCA. We reported a 47-year-old female with SCA and sarcoidosis
Effects of Molecular Rovibrational States and Surface Topologies for Molecule-Surface Interaction: Chemisorption Dynamics of D 2 Collision with Rigid Ni Surfaces
A quasiclassical and micro-canonical molecular dynamic simulation techniques have been applied for D 2 (v, j) + Ni-surface collision systems. Dissociative adsorptions of a D 2 molecule on the rigid low index (100)
Global minima for free Pt
Using molecular dynamics and thermal quenching simulation
techniques, and the basin-hopping Monte Carlo algorithm we have
studied the global minima and energetics of free PtN clusters
in the size range of . The clusters have been described
by the Voter and Chen version of an embedded-atom model, which is
derived by fitting to experimental data of both the diatomic
molecule and bulk platinum simultaneously. A comparison between
the two search techniques has been performed and it is found that
the basin-hopping algorithm is more efficient than a molecular
dynamics minimization approach in the investigation of the global
minima. The results show that the global minima of the Pt
clusters have structures based on either octahedral, decahedral or
icosahedral packing. Some of the icosahedral global minima do not
have a central atom. The 54-atom icosahedron without a central
atom is found to be more stable than the 55-atom complete
icosahedron. The resulting structures have been compared with the
previous theoretical calculations
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