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Nonlinear Coupling of Kinetic Alfvén Waves and Ion Acoustic Waves in the Inner Heliosphere

Research in Astronomy and Astrophysics 2024年第10期24卷 141-158页

作者： Mani K.Chettri Vivek Shrivastav Rupak Mukherjee Nidhi Gaur R.P.Sharma Hemam d.Singh department of Physics Sikkim UniversityGangtokSikkimIndia dav Public School Sector 14GurugramHaryanaIndia Plasma Simulation Laboratory Department of Energy Science and EngineeringIndian Institute of Technology DelhiDelhiIndia

We study the nonlinear coupling of kinetic Alfvén waves with ion acoustic waves applicable to the Earth’s radiation belt and near-Sun streamer belt solar wind using dynamical equations in the form of modified Zakharov *** simulations show the formation of magnetic field filamentary structures associated with density humps and dips which become turbulent at later times,redistributing the energy to higher *** magnetic power spectra exhibit an inertial range Kolmogorov-like spectral index value of-5/3 for k_(⊥)ρ_(i)d by a steeper dissipation range spectra with indices~-3 for the radiation belt case and~-4 for the nearSun streamer belt solar wind case,here k_(⊥)andρ_(i)represent the wavevector component perpendicular to the background magnetic field and the ion thermal gyroradius,*** quasilinear theory in terms of the Fokker-Planck equation in the region of wavenumber turbulent spectra,we find the particle distribution function flattening in the superthermal tail population which is the signature of particle energization and plasma heating.

关键词： Sun:chromosphere Sun:corona Sun:heliosphere

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Comparison of imaging-based and pathological dimensions in pancreatic neuroendocrine tumors

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World Journal of Gastroenterology 2017年第17期23卷 3092-3098页

作者： Salvatore Paiella Harmony Impellizzeri Elisabetta Zanolin Giovanni Marchegiani Marco Miotto Anna Malpaga Riccardo de Robertis Mirko d'Onofrio Borislav Rusev Paola Capelli Sara Cingarlini Giovanni Butturini Maria Vittoria davì Antonio Amodio Claudio BassiAldo Scarpa Roberto Salvia Luca Landoni General and Pancreatic Surgery department Pancreas InstituteUniversity and Hospital Trust of Verona department of Public Health and Community Medicine University and Hospital Trust of Verona department of Radiology Casa di Cura Pederzoli department of Radiology Pancreas InstituteUniversity and Hospital Trust of Verona department of diagnostics and Public Health Section of PathologyUniversity and Hospital Trust of Verona ARC-NET Research Center University and Hospital Trust of Verona department of Oncology Pancreas InstituteUniversity and Hospital Trust of Verona Hepato-bilio-pancreatic Surgery Unit Casa di Cura Pederzoli Section of Endocrinology Medicina Generale e Malattie Aterotrombotiche e DegenerativeDepartment of MedicineUniversity and Hospital Trust of Verona Gastroenterology B department Pancreas InstituteUniversity and Hospital Trust of Verona

AIM To establish the ability of magnetic resonance(MR) and computer tomography(CT) to predict pathologic dimensions of pancreatic neuroendocrine tumors(Pan NET) in a caseload of a tertiary referral *** Patients submitted to surgery for Pan NET at the Surgical Unit of the Pancreas Institute with at least 1 preoperative imaging examination(MR or CT scan) from January 2005 to december 2015 were included and data retrospectively collected. Exclusion criteria were: multifocal lesions, genetic syndromes, microadenomas or mixed tumors, metastatic disease and neoadjuvant therapy. Bland-Altman(BA) and Mountain-Plot(MP) statistics were used to compare size measured by each modality with the pathology size. Passing-Bablok(PB) regression analysis was used to check the agreement between MR and *** Our study population consisted of 292 patients. Seventy-nine(27.1%) were functioning Pan NET. The mean biases were 0.17 ± 7.99 mm, 1 ± 8.51 mm and 0.23 ± 9 mm, 1.2 ± 9.8 mm for MR and CT, considering the overall population and the subgroup of non-functioning-Pan NET, respectively. Limits of agreement(LOA) included the vast majority of observations, indicating a good agreement between imaging and pathology. The MP further confirmed this finding and showed that the two methods are unbiased with respect to each other. Considering ≤ 2 cm non-functioning-Pan NET, no statistical significance was found in the size estimation rate of MR and CT(P = 0.433). PBR analysis did not reveal significant differences between MR, CT and *** MR and CT scan are accurate and interchangeable imaging techniques in predicting pathologic dimensions of Pan NET.

关键词： Pancreatic neoplasms Neuroendocrine tumors Magnetic resonance imaging diagnostic imaging Pathological dimensions

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Chemical Compositions of the Leaf Essential Oils of <i>Aralia spinosa</i>from Three Habitats in Northern Alabama

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American Journal of Plant Sciences 2011年第3期2卷 507-510页

作者： Purva C. davé Bernhard Vogler William N. Setzer 不详

Aralia spinosa leaves were collected from three different habitats in north Alabama. The leaf essential oils were collected by hydrodistillation and analyzed by gas chromatography / mass spectrometry (GC-MS). The most abundant components of A. spinosa essential oils were the sesquiterpenes germacrene d (28.0% - 37.3%), (E)-caryophyllene (8.2% - 15.7%), and α-humulene (1.9% - 4.9%);the monoterpene myrcene (up to 15.1%), and the fatty-acid-derivative (2E)-hexenal (trace to 28.9%). Fatty-acid derivatives and monoterpene hydrocarbons were more abundant in samples from suburban Huntsville than those from “natural” habitats (Monte Sano Mountain, Wheeler National Wildlife Refuge), while sesquiterpene hydrocarbons were more abundant in the natural/wild samples.

关键词： Aralia spinosa Araliaceae Leaf Essential Oil Chemical Composition Germacrene d Myrcene (E)-Caryophyllene (2E)-Hexenal

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