THE INNER ALCHEMY OF BUDDHIST TANTRIC MEDITATION: A QEEG CASE STUDY USING Low RESOLUTION ELECTROMAGNETIC TOMOGRAPHY (LORETA)

Indo-Tibetan Buddhist T~mtric practice employs struClured self-healing meditations aimed at awakening emotional and spitiruai qualities or energies whose seed already resides within us. This profound transfi)rmative pranice. with wrirren records dating back to at least 400 c.E., is investigated from several diverse orienrations: depth psychology. neuropsychology, and neurophysiology. from a Jungian perspecrive. the psychological process of this pracrice involves the re-collection and development of these energies to engender emotional and spirirual growth. Using a phenomenological task analysis. the various nemocognitive processes involved in such practice are identitied. Finally. we analyze the qU3mitative electroencephalographic (QEEG) characreristics of a Buddhisr ex-monk during various aspects of a self-healing meditation practice. The QEEG was recorded with a Lexicor Neuroseatch 24 ,md data analyzed using NeuroRep, NeuroGuidc. LORETA-KEY and EureKa!3 software. EEG rderence database, as well low resolution electromagnetic tomography (LORETA), Staristical comparison of baseline and meditation conditions using LORETA revealed areas of brain activation consistent with those reponed in previolls neuroimaging studies. The QEEG results are discussed in the context of the phenomenological processes involved in the differenr types of meditation as well as with results of previolls srudies

Effects of buried obstacles on penetration resistance in cohesionless soils

Recent experiments concerning penetration of cohesionless soils in special molds that include solid obstacles embedded within the soil matrix are reported. The relative effects of these obstacles with respect to the soil properties of relative density, texture, and gradation are also discussed. Because lunar soil is fairly cohesionless, special attention was given to the Apollo lunar simulant, AP-12

Data-Optimized Coronal Field Model: I. Proof of Concept

Deriving the strength and direction of the three-dimensional (3D) magnetic field in the solar atmosphere is fundamental for understanding its dynamics. Volume information on the magnetic field mostly relies on coupling 3D reconstruction methods with photospheric and/or chromospheric surface vector magnetic fields. Infrared coronal polarimetry could provide additional information to better constrain magnetic field reconstructions. However, combining such data with reconstruction methods is challenging, e.g., because of the optical-thinness of the solar corona and the lack and limitations of stereoscopic polarimetry. To address these issues, we introduce the Data-Optimized Coronal Field Model (DOCFM) framework, a model-data fitting approach that combines a parametrized 3D generative model, e.g., a magnetic field extrapolation or a magnetohydrodynamic model, with forward modeling of coronal data. We test it with a parametrized flux rope insertion method and infrared coronal polarimetry where synthetic observations are created from a known "ground truth" physical state. We show that this framework allows us to accurately retrieve the ground truth 3D magnetic field of a set of force-free field solutions from the flux rope insertion method. In observational studies, the DOCFM will provide a means to force the solutions derived with different reconstruction methods to satisfy additional, common, coronal constraints. The DOCFM framework therefore opens new perspectives for the exploitation of coronal polarimetry in magnetic field reconstructions and for developing new techniques to more reliably infer the 3D magnetic fields that trigger solar flares and coronal mass ejections.Comment: 14 pages, 6 figures; Accepted for publication in Ap

The Minimum of Solar Cycle 23: As Deep as It Could Be?

In this work we introduce a new way of binning sunspot group data with the purpose of better understanding the impact of the solar cycle on sunspot properties and how this defined the characteristics of the extended minimum of cycle 23. Our approach assumes that the statistical properties of sunspots are completely determined by the strength of the underlying large-scale field and have no additional time dependencies. We use the amplitude of the cycle at any given moment (something we refer to as activity level) as a proxy for the strength of this deep-seated magnetic field. We find that the sunspot size distribution is composed of two populations: one population of groups and active regions and a second population of pores and ephemeral regions. When fits are performed at periods of different activity level, only the statistical properties of the former population, the active regions, is found to vary. Finally, we study the relative contribution of each component (small-scale versus large-scale) to solar magnetism. We find that when hemispheres are treated separately, almost every one of the past 12 solar minima reaches a point where the main contribution to magnetism comes from the small-scale component. However, due to asymmetries in cycle phase, this state is very rarely reached by both hemispheres at the same time. From this we infer that even though each hemisphere did reach the magnetic baseline, from a heliospheric point of view the minimum of cycle 23 was not as deep as it could have been

Access: Multiple Avenues For Deaf People

The companion to Signs and Voices: Deaf Culture, Identity, Language, and Arts, this volume presents an accomplished group of contributors who address the major technological, institutional, and societal advances in access for deaf people, as well as the remaining hurdles

Prior chemotherapy does not prevent effective mobilisation by G-CSF of peripheral blood progenitor cells.

In this study we demonstrate that the hemopoietic growth factor, G-CSF successfully mobilised progenitor cell populations into the peripheral blood in a population of patients despite intensive pretreatment with chemotherapy. Administration of G-CSF increased the numbers of peripheral blood progenitor cells (PBPC) by a median of 76-fold above basal levels. Maximal levels of PBPC were observed on days 5 and 6 after G-CSF treatment. In two patients a second cycle of G-CSF mobilised PBPC to levels comparable with those seen after the first cycle of G-CSF treatment. An earlier hemopoietic cell population (pre-CFC's) was also mobilised with levels increased up to 50-fold above basal levels. Using a standard mononuclear cell leukapheresis technique the PBPC were collected extremely efficiently (essentially 100%) and could be further successfully enriched by separation using a Ficoll gradient. For patients who underwent the optimal collection protocol (i.e. leukapheresis on days 5, 6 and 7) a total of 32 +/- 6 x 10(4) GM-CFC kg-1 were collected. The ability to mobilise PBPC using G-CSF alone and to successfully and efficiently harvest these cells has important implications for the future of transplantation and high dose chemotherapy procedures