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標題: Titlebook: Hot Thin Plasmas in Astrophysics; Roberto Pallavicini (Director of the ASI) Book 1988 Kluwer Academic Publishers 1988 Galaxy.LOPES.Librati [打印本頁]

作者: audiogram    時間: 2025-3-21 18:42
書目名稱Hot Thin Plasmas in Astrophysics影響因子(影響力)




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書目名稱Hot Thin Plasmas in Astrophysics讀者反饋




書目名稱Hot Thin Plasmas in Astrophysics讀者反饋學科排名





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John C. Raymondtelligence, ICCCI 2024, held in Leipzig, Germany, during September 9–11, 2024...The 67 full papers included in this book were carefully reviewed and selected from 234 submissions...The main track, covering the methodology and applications of CCI, included: collective decision-making, data fusion, de
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Martin V. Zombeckissions to as low as 7?ppm through lean combustion techniques. However, a significant challenge remains in simultaneously reducing both NOx and CO emissions due to the inverse relationship exhibited by these two pollutants. Therefore, there is a need for a solution that can determine the flame shape
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utilization of different injection strategies. In order to investigate the effects on the system, a three-dimensional DLR Scramjet combustor with multiple injections and varying injection angles on the triangular wedge is considered. Three numbers of injectors with parallel, upward and downward inj
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A. H. Gabrielon the alveolar gas exchange by modelling the entire lung as a global, equivalent, heterogeneous porous medium of three zones of three different Permeabilities comprising 23 generations of branches. The airflow for every breathing cycle is simulated by solving mass and momentum transfer equations ac
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C. Jordanissions to as low as 7?ppm through lean combustion techniques. However, a significant challenge remains in simultaneously reducing both NOx and CO emissions due to the inverse relationship exhibited by these two pollutants. Therefore, there is a need for a solution that can determine the flame shape
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J. H. M. M. Schmittissions to as low as 7?ppm through lean combustion techniques. However, a significant challenge remains in simultaneously reducing both NOx and CO emissions due to the inverse relationship exhibited by these two pollutants. Therefore, there is a need for a solution that can determine the flame shape
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R. Pallaviciniaccurately based on a series of ex-situ results. However, the PGM suffers from difficulties in the application to the complex flow with openings and turbulence. This study preliminarily explores the coupling algorithm of the PGM and the finite volume method (FVM) to avoid these difficulties. A tempe
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M. A. Barstowultural runoff. This study applied machine learning (ML) techniques to predict and classify contaminant presence in Mexican water bodies using publicly available datasets. The objectives were to collect and analyze water quality data, develop predictive models, implement ML algorithms?for classifica
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B. Aschenbachding its security flaws. As the platform gains dominance on a global scale, the need for efficiently detecting malware on Android devices has become more critical than ever. One of the main challenges lies in the complex interplay between permissions and application programming interface (API) calls
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Diagnostic Techniques for Hot Thin Astrophysical Plasmas multiply ionized atoms and for their interpretation in terms of physical parameters it is necessary to understand the atomic processes involved and to compute the corresponding parameters. These X-ray diagnostic techniques are used mainly for solar active regions and flare plasmas. Spectra from Ca
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Instrumentation for the Study of Cosmic X-Ray Plasmasnent features of X-ray missions now being developed. X-ray concentrators, energy sensitive broad-band imaging detectors and wavelength dispersive gratings and crystals can be combined to provide powerful tools for performing diagnostic measurements on cosmic X-ray plasmas. A selection of these devic
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Re-Analysis of the Coronal Emission from RS CVn Type Binariesexplore the activity parameters in these systems. It is well established that the x-ray luminosity L. is correlated with the Roche lobe filling percentage RL and the radius R where I belive, RL and R represent the depth I of the sub-photospheric convective layer. It is known that I is the basic para
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High Resolution Soft X-Ray Spectroscopy of Hot White Dwarfsr on EXOSAT. These data, which are unique in wavelength coverage, spectral resolution, and statistical quality, have offered us the first detailed look at the photospheric X-ray spectrum of these objects. The shape of the soft X-ray spectrum is highly sensitive to the spectral parameters; we use thi
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Pulsating White Dwarfs. Pulsational instabilities, which arise in three distinct regions along the white dwarf cooling sequence, have periods ranging from 200s to 2500s and offer unique opportunities for the study of the interior and thermal evolution of compact objects. These instabilities are interpreted as non-radial
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1389-2185 s they are revealed by X-ray observations from space. The X-ray and UV emission from optically thin thermal plasmas is a common feature of many astrophysical sy978-94-010-7878-8978-94-009-3065-0Series ISSN 1389-2185
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F. Bely-Dubauproposed investigation. The SMOTE method is used for addressing the issue of imbalanced datasets. The utilization?of imbalance techniques is highly effective. It may effectively rectify the uneven distribution of classes, hence enhancing the accuracy of a machine learning model in identifying the un
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Martin V. Zombeckomparative results between simulation and experiments, the simulation flame lengths were 30?mm for residual fuel fractions of 1%. In contrast, the flame visualization showed a flame length of 14?mm. Therefore, there was about twice the length difference between the actual flame visualization and the
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R. Pallavicinihlet): the temperatures at the interface are selected as the transmission information. (2) D-N (Dirichlet-Neumann): the temperature and the heat flux at the interface are selected as the transmission information. Results suggest that both the above coupling methods can obtain a continuous temperatur
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Steven H. Saard the assisting/opposing flow parameter, were shown graphically to show how they affected the computational results and physical quantity solutions. Based on our analysis, there existed multiple solutions for the opposing flow, and boundary layer was separated slowly due to the suction effect. Besid
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Krishna M. V. Apparao,S. P. Tarafdar identifying related groups to guide monitoring efforts. A decision tree classifier assessed the significance of features in predicting water quality and found ’Fecal coliforms’ to be the most crucial, achieving an accuracy of 99.99%. Additionally, Random Forest, Support Vector Machine, and AdaBoost
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s. First, neighboring instances are enumerated by using maximal cliques,?and then they are further arranged into a specified two-level hash?table structure. The keys in the first level are the initial possible candidates and the values are another hash table structure with?keys that are spatial feat
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B. Aschenbachat indicate malware presence. However, the results have been far from conclusive, making it challenging to accurately detect malicious activity based solely on these combinations. In light of these obstacles, this article introduces a novel method for effectively identifying Android malware. By comb




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