2,434 research outputs found
La gestion par bassin versant : un outil de résolution des conflits ?
Article disponible en ligne à l'adresse : http://www.lex-electronica.org/docs/articles_24.pdfInternational audienc
Computational Chemistry as Voodoo Quantum Mechanics : Models, Parameterization, and Software
Computational chemistry grew in a new era of "desktop modeling", which coincided with a growing demand for modeling software, especially from the pharmaceutical industry. Parameterization of models in computational chemistry is an arduous enterprise, and we argue that this activity leads, in this specific context, to tensions among scientists regarding the lack of epistemic transparency of parameterized methods and the software implementing them. To explicit these tensions, we rely on a corpus which is suited for revealing them, namely the Computational Chemistry mailing List (CCL), a professional scientific discussion forum. We relate one flame war from this corpus in order to assess in detail the relationships between modeling methods, parameterization, software and the various forms of their enclosure or disclosure. Our claim is that parameterization issues are a source of epistemic opacity and that this opacity is entangled in methods and software alike. Models and software must be addressed together to understand the epistemological tensions at stake
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Development of an electrochemical micromachining (μECM) machine
This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University London.Electrochemical machining (ECM) and especially electrochemical micromachining
(μECM) became an attractive area of research due to the fact that this process does not
create any defective layer after machining and that there is a growing demand for better
surface integrity on different micro applications such as microfluidics systems and stressfree
drilled holes in the automotive and aerospace sectors. Electrochemical machining is considered as a non-conventional machining process based on the phenomenon of electrolysis. This process requires maintaining a small gap - the interelectrode gap (IEG) - between the anode (workpiece) and the cathode (tool-electrode)
in order to achieve acceptable machining results (i.e. accuracy, high aspect ratio with appropriate material removal rate and efficiency). This work presents the design of a next generation μECM machine for the automotive, aerospace, medical and metrology sectors. It has 3 axes of motion (X, Y and Z) and a spindle
allowing the tool-electrode to rotate during machining. The linear slides for each axis use air bearings with linear DC brushless motors and 2nmresolution encoders for ultra-precise motion. The control system is based on the Power PMAC motion controller from Delta Tau. The electrolyte tank is located at the rear of the
machine and allows the electrolyte to be changed quickly. A pulse power supply unit (PSU) and a special control algorithm have been implemented. The pulse power supply provides not only ultra-short pulses (50ns), but also plus and minus biases as well as a polarity switching functionality. It fulfils the requirements of tool
preparation with reversed ECM on the machine. Moreover, the PSU is equipped with an ultrafast over current protection which prevents the tool-electrode from being damaged in case of short-circuits.
Two different process control algorithms were made: one is fuzzy logic based and the other
is adapting the feed rate according to the position and time at which short-circuits were
detected. The developed machine is capable of drilling micro holes in hard-to-machine materials but
also machine micro-styli and micro-needles for the metrology (micro CMM) and medical
sectors. This work also presents drilling trials performed with the machine with an orbiting
tool. Machining experiments were also carried out using electrolytes made of a combination
of HCl and NaNO aqueous solutions. The developed machine was used to fabricate micro tools out of 170μm WC-Co alloy shafts via micro electrochemical turning and drill deep holes via μECM in disks made of 18NiCr6 alloy. Results suggest that this process can be used for industrial applications for hard-to-machine
materials. The author also suggests that the developed machine can be used to manufacture
micro-probes and micro-tools for metrology and micro-manufacturing purposes.Brunel University European Commissio
Computational Chemistry as Voodoo Quantum Mechanics : Models, Parameterization, and Software
Computational chemistry grew in a new era of "desktop modeling", which coincided with a growing demand for modeling software, especially from the pharmaceutical industry. Parameterization of models in computational chemistry is an arduous enterprise, and we argue that this activity leads, in this specific context, to tensions among scientists regarding the lack of epistemic transparency of parameterized methods and the software implementing them. To explicit these tensions, we rely on a corpus which is suited for revealing them, namely the Computational Chemistry mailing List (CCL), a professional scientific discussion forum. We relate one flame war from this corpus in order to assess in detail the relationships between modeling methods, parameterization, software and the various forms of their enclosure or disclosure. Our claim is that parameterization issues are a source of epistemic opacity and that this opacity is entangled in methods and software alike. Models and software must be addressed together to understand the epistemological tensions at stake
Probing the Dust Properties of Galaxies up to Submillimetre Wavelengths I. The Spectral Energy Distribution of dwarf galaxies using LABOCA
We present 870 micron images of four low metallicity galaxies (NGC1705,
Haro11, Mrk1089 and UM311) observed with the Large APEX BOlometer CAmera
(LABOCA). We model their spectral energy distributions combining the submm
observations of LABOCA, 2MASS, IRAS, Spitzer photometric data and the IRS data
for Haro11. We find that a significant mass of dust is revealed when using
submm constraints compared to that measured with only mid-IR to far-IR
observations extending only to 160 microns. For NGC1705 and Haro11, an excess
in submillimeter wavelengths is detected and we rerun our SED procedure adding
a cold dust component (10K) to better describe the high 870 micron flux derived
from LABOCA observations, which significantly improves the fit. We find that at
least 70% of the dust mass of these two galaxies can reside in a cold dust
component. We also show that the subsequent dust-to-gas mass ratios,
considering HI and CO observations, can be strikingly high for Haro11 in
comparison with what is usually expected for these low-metallicity
environments. Furthermore, we derive the SFR of our galaxies and compare them
to the Schmidt law. Haro11 falls anomalously far from the Schmidt relation.
These results may suggest that a reservoir of hidden gas could be present in
molecular form not traced by the current CO observations. We also derive the
total IR luminosities derived from our models and compare them with relations
that derive this luminosity from Spitzer bands. We find that the Draine & Li
(2007) formula compares well to our direct IR determinations.Comment: 22 pages, 7 figures, 10 tables, accepted for publication in A&
Transmission of integrin β7 transmembrane domain topology enables gut lymphoid tissue development.
Integrin activation regulates adhesion, extracellular matrix assembly, and cell migration, thereby playing an indispensable role in development and in many pathological processes. A proline mutation in the central integrin β3 transmembrane domain (TMD) creates a flexible kink that uncouples the topology of the inner half of the TMD from the outer half. In this study, using leukocyte integrin α4β7, which enables development of gut-associated lymphoid tissue (GALT), we examined the biological effect of such a proline mutation and report that it impairs agonist-induced talin-mediated activation of integrin α4β7, thereby inhibiting rolling lymphocyte arrest, a key step in transmigration. Furthermore, the α4β7(L721P) mutation blocks lymphocyte homing to and development of the GALT. These studies show that impairing the ability of an integrin β TMD to transmit talin-induced TMD topology inhibits agonist-induced physiological integrin activation and biological function in development
The NAE Pathway : autobahn to the nucleus for cell surface receptors
Various growth factors and full-length cell surface receptors such as EGFR are translocated from the cell surface to the nucleoplasm, baffling cell biologists to the mechanisms and functions of this process. Elevated levels of nuclear EGFR correlate with poor prognosis in various cancers. In recent years, nuclear EGFR has been implicated in regulating gene transcription, cell proliferation and DNA damage repair. Different models have been proposed to explain how the receptors are transported into the nucleus. However, a clear consensus has yet to be reached. Recently, we described the nuclear envelope associated endosomes (NAE) pathway, which delivers EGFR from the cell surface to the nucleus. This pathway involves transport, docking and fusion of NAEs with the outer membrane of the nuclear envelope. EGFR is then presumed to be transported through the nuclear pore complex, extracted from membranes and solubilised. The SUN1/2 nuclear envelope proteins, Importin-beta, nuclear pore complex proteins and the Sec61 translocon have been implicated in the process. While this framework can explain the cell surface to nucleus traffic of EGFR and other cell surface receptors, it raises several questions that we consider in this review, together with implications for health and disease
Unconstrained Nonlinear Optimization of a Distributed SWE Model Using Modis and In Situ Measurements Over the French Alps
International audienceIn this paper we propose the optimization of the snow sub-model of MORDOR using MODIS and in situ measurements for the case study of the Serre-Ponçon reservoir (one of the largest artificial lakes in Western Europe) on the Durance River in the French Alps. We consider the problem of optimizing the snow model as an unconstrained nonlinear optimization problem
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