991 resultados para Anti-resonance
Resumo:
Tässä pro gradu -tutkielmassa analysoidaan suomalaista ympäristöliikettä Jürgen Habermasin julkisuuden käsitteen näkökulmasta. Työn tutkimusongelmana on tarkastella julkisuutta ympäristövaikuttamisen keinona. Ponnahduslautana tutkimuksessa käytetään 2000-luvun Lapin metsien käyttöä koskevia kiistoja, joiden ratkomisyrityksiin moni Suomessa toimiva ympäristöjärjestö on osallistunut. Pitkään ratkaisemattomina olleet kiistat ovat johtaneet tilanteeseen, jossa on perusteltua kysyä, mikä ongelmien selvittämisessä on mennyt pieleen. Olisiko ennen kaikkea ammattimaiseen ja institutionalisoituneeseen vaikuttamiseen nojanneet ympäristöjärjestöt voineet toimia kiistojen yhteydessä jollakin vaihtoehtoisella tavalla? Vaihtoehdoksi esitetään Jürgen Habermasin tarjoamaa julkisuuden mallia, jonka on nähty olevan keskeinen modernin yhteiskunnan mahdollisuuksia ja rajoitteita arvioitaessa. Käsitys julkisuudesta sisältää ajatuksen kriittiseen keskusteluun pohjautuvasta, kaikille avoimesta kansalaisvaikuttamisesta. Näin muodostuneesta yleisestä mielipiteestä tulee poliittisen päätöksenteon ohjenuora. Julkisuuden ihanteen rinnalla Habermasin teoria sisältää kuvauksen julkisuuden rakennemuutoksesta – kriittisen julkisuuden alennustilasta myöhäiskapitalistisessa kulutusyhteiskunnassa. Tässä tutkimuksessa käytän näitä kahta teoreettista näkökulmaa arvioidessani nykyaikaista ympäristövaikuttamista. Keskeisin lähdeteos on Habermasin Julkisuuden rakennemuutos ja sen teoreettista perinnettä jatkaneet tutkimukset. Aineistoni koostuu kuudesta teemahaastattelusta, jotka toteutettiin keväällä 2009 Greenpeacessa, Suomen luonnonsuojeluliitossa ja WWF:ssä. Tutkimusmenetelmänä käytän teemoittelua. Sen tuloksena esiin nousevista teemoista keskeisin kertoo ympäristöjärjestöjen ammattimaistumisesta. Tulosteni mukaan ympäristövaikuttamista leimaa institutionalisoituneisuus ja hallinnollisuus, jolloin julkisuusperiaatteen toimintaedellytykset ovat heikentyneet. Julkisuuden käsitteelle löytyy kuitenkin myös varovaista tilausta suomalaisten ympäristöjärjestöjen keskuudessa.
Resumo:
We examine the stability of hadron resonance gas models by extending them to include undiscovered resonances through the Hagedorn formula. We find that the influence of unknown resonances on thermodynamics is large but bounded. We model the decays of resonances and investigate the ratios of particle yields in heavy-ion collisions. We find that observables such as hydrodynamics and hadron yield ratios change little upon extending the model. As a result, heavy-ion collisions at the RHIC and LHC are insensitive to a possible exponential rise in the hadronic density of states, thus increasing the stability of the predictions of hadron resonance gas models in this context. Hadron resonance gases are internally consistent up to a temperature higher than the crossover temperature in QCD, but by examining quark number susceptibilities we find that their region of applicability ends below the QCD crossover.
Resumo:
The pressure dependence of the chlorine NQR frequency in NaClo3 has been investigated up to 20 k bar hydrostatic pressure. A distinct break in slope in the pressure dependence of the resonance frequency is observed near 11 k bar. This is attributed to a phase transition reported earlier by Bridgman in this pressure region.
Resumo:
Problems like windup or rollover arise in a PI controller working under saturation. Hence anti-windup schemes are necessary to minimize performance degradation.Similar situation may occur in a Proportional Resonant(PR)controller in the presence of a sustained error input.Several methods can be employed based on existing knowledge on PI controller to counter this problem.In this paper few such schemes are proposed and implemented in FPGA and MATLAB and from the obtained results their possible use and limitations have been studied.
New Solid State Forms of the Anti-HIV Drug Efavirenz. Conformational Flexibility and High Z ` Issues
Resumo:
Structural information on the solid forms of efavirenz, a non-nucleoside reverse transcriptase inhibitor, is limited, although various polymorphic forms of this drug have been patented. We report here structural studies of four new crystal forms a pure form, a cyclohexane solvate, and cocrystals with 1,4-cyclohexanedione and 4,4'-bipyridine. Temperature dependent single-crystal to single-crystal phase transitions are observed for the pure form and for the cyclohexane solvate with an increase in the number of symmetry independent molecules, Z', upon a lowering of temperature. Other issues related to these solid forms, such as thermal stability, conformational flexibility, and high Z' occurrences, are addressed by using a combined experimental and computational approach.
Resumo:
In this paper we introduce a nonlinear detector based on the phenomenon of suprathreshold stochastic resonance (SSR). We first present a model (an array of 1-bit quantizers) that demonstrates the SSR phenomenon. We then use this as a pre-processor to the conventional matched filter. We employ the Neyman-Pearson(NP) detection strategy and compare the performances of the matched filter, the SSR-based detector and the optimal detector. Although the proposed detector is non-optimal, for non-Gaussian noises with heavy tails (leptokurtic) it shows better performance than the matched filter. In situations where the noise is known to be leptokurtic without the availability of the exact knowledge of its distribution, the proposed detector turns out to be a better choice than the matched filter.
Resumo:
In this paper we propose a nonlinear preprocessor for enhancing the performance of processors used for direction-of-arrival (DOA) estimation in heavy-tailed non-Gaussian noise. The preprocessor based on the phenomenon of suprathreshold stochastic resonance (SSR), provides SNR gain. The preprocessed data is used for DOA estimation by the MUSIC algorithm. Simulation results are presented to show that the SSR preprocessor provides a significant improvement in the performance of MUSIC in heavy-tailed noise at low SNR.
Resumo:
In this paper. we propose a novel method using wavelets as input to neural network self-organizing maps and support vector machine for classification of magnetic resonance (MR) images of the human brain. The proposed method classifies MR brain images as either normal or abnormal. We have tested the proposed approach using a dataset of 52 MR brain images. Good classification percentage of more than 94% was achieved using the neural network self-organizing maps (SOM) and 98% front support vector machine. We observed that the classification rate is high for a Support vector machine classifier compared to self-organizing map-based approach.
Resumo:
Amyloid beta (A beta) is the major etiological factor implicated in Alzheimer's disease (AD). A beta(42) self-assembles to form oligomers and fibrils via multiple aggregation process. The recent studies aimed to decrease A beta levels or prevention of A beta aggregation which are the major targets for therapeutic intervention. Natural products as alternatives for AD drug discovery are a current trend. We evidenced that Caesalpinia crista leaf aqueous extract has anti-amyloidogenic potential. The studies on pharmacological properties of C. crista are very limited. Our study focused on ability of C. crista leaf aqueous extract on the prevention of (i) the formation of oligomers and aggregates from monomers (Phase I: A beta(42) + extract co-incubation); (ii) the formation of fibrils from oligomers (Phase II: extract added after oligomers formation); and (iii) dis-aggregation of pre-formedfibrils (Phase III: aqueous extract added to matured fibrils and incubated for 9 days). The aggregation kinetics was monitored using thioflavin-T assay and transmission electron microscopy (TEM). The results showed that C. crista aqueous extract could able to inhibit the A beta(42) aggregation from monomers and oligomers and also able todis-aggregate the pre-formed fibrils. The study provides an insight on finding new natural products for AD therapeutics. (C) 2010 Elsevier Ireland Ltd. All rights reserved.
Resumo:
We report the first electron paramagnetic resonance studies of single crystals and powders of Pr0.6Ca0.4MnO3 in the 300-4.2 K range, covering the charge-ordering transition (Tco) at ~240 K and antiferromagnetic transition (TN) at ~170 K. The asymmetry parameter for the Dysonian single-crystal spectra shows an anomalous increase at Tco. Below Tco the g-value increases continuously, suggesting a gradual strengthening of the orbital ordering. The linewidth undergoes a sudden increase at Tco and continues to increase down to TN. The intensity increases as the temperature is decreased until Tco is reached, due to the renormalization of the magnetic susceptibility arising from the build-up of ferromagnetic correlations.
Resumo:
In order to explore idiotypic, anti-idiotypic, and anti-anti-idiotypic responses to allergens, BALB/c mice were immunized with affinity- purified human idiotypic antibodies directed against a highly purified shrimp allergen. This resulted in the production of anti-idiotypic antibodies which were quantitated by using rabbit idiotypic antibodies raised against the same purified allergen. The mouse anti-idiotypic antibodies recognized shrimp-specific human idiotypic antibodies of the IgE isotype from 18 of 20 individuals, and IgG antibodies from 14 of 20 shrimp-sensitive patients. Immunization of BALB/c mice with affinity- purified, allergen-specific anti-idiotypic antibodies induced anti- allergen IgE and IgG responses in the absence of the allergen. This paper thus presents evidence that anti-idiotypic antibodies raised against allergen-specific idiotypic antibodies may substitute for the original allergen in the induction of allergen-specific idiotypic antibodies. The demonstration of shared idiotopes on IgG and IgE antibodies in the sera of shrimp-sensitive patients supports the use of allergen-specific anti-idiotypic antibodies as surrogate allergens.