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The present study aimed to investigate the spontaneous dynamics of large‐scale brain networks underlying mindfulness as a dispositional trait, through resting‐state electroencephalography (EEG) microstates analysis. Eighteen participants had attended a standardized mindfulness‐based stress reduction training (MBSR), and 18 matched waitlist individuals (CTRL) were recorded at rest while they were passively exposed to auditory stimuli. Participants' mindfulness traits were assessed with the Five Facet Mindfulness Questionnaire (FFMQ). To further explore the relationship between microstate dynamics at rest and mindfulness traits, participants were also asked to rate their experience according to five phenomenal dimensions. After training, MBSR participants showed a highly significant increase in FFMQ score, as well as higher observing and non‐reactivity FFMQ sub‐scores than CTRL participants. Microstate analysis revealed four classes of microstates (A–D) in global clustering across all subjects. The MBSR group showed lower duration, occurrence and coverage of microstate C than the control group. Moreover, these microstate C parameters were negatively correlated to non‐reactivity sub‐scores of FFMQ across participants, whereas the microstate A occurrence was negatively correlated to FFMQ total score. Further analysis of participants' self‐reports suggested that MBSR participants showed a better sensory‐affective integration of auditory interferences. In line with previous studies, our results suggest that temporal dynamics of microstate C underlie specifically the non‐reactivity trait of mindfulness. These findings encourage further research into microstates in the evaluation and monitoring of the impact of mindfulness‐based interventions on the mental health and well‐being of individuals. [ABSTRACT FROM AUTHOR]

Gait is an essential human activity which organizes many functional and cognitive behaviors. The biomechanical constraints of bipedalism implicating a permanent control of balance during gait are taken into account by a complex dialog between the cortical, subcortical and spinal networks. This networking is largely based on oscillatory coding, including changes in spectral power and phase-locking of ongoing neural activity in theta, alpha, beta and gamma frequency bands. This coding is specifically modulated in actual gait execution and representation, as well as in contexts of gait observation or imagination. A main challenge in integrative neuroscience oscillatory activity analysis is to disentangle the brain oscillations devoted to gait control. In addition to neuroimaging approaches, which have highlighted the structural components of an extended network, dynamic high-density EEG gives non-invasive access to functioning of this network. Here we revisit the neurophysiological foundations of behavior-related EEG in the light of current neuropsychological theoretic frameworks. We review different EEG rhythms emerging in the most informative paradigms relating to human gait and implications for rehabilitation strategies. [ABSTRACT FROM AUTHOR]

DFTB+ is a versatile community developed open source software package offering fast and efficient methods for carrying out atomistic quantum mechanical simulations. By implementing various methods approximating density functional theory (DFT), such as the density functional based tight binding (DFTB) and the extended tight binding method, it enables simulations of large systems and long timescales with reasonable accuracy while being considerably faster for typical simulations than the respective ab initio methods. Based on the DFTB framework, it additionally offers approximated versions of various DFT extensions including hybrid functionals, time dependent formalism for treating excited systems, electron transport using non-equilibrium Green's functions, and many more. DFTB+ can be used as a user-friendly standalone application in addition to being embedded into other software packages as a library or acting as a calculation-server accessed by socket communication. We give an overview of the recently developed capabilities of the DFTB+ code, demonstrating with a few use case examples, discuss the strengths and weaknesses of the various features, and also discuss on-going developments and possible future perspectives. [ABSTRACT FROM AUTHOR]

Legionellosis has been a mandatory weekly reportable disease in Madrid, Spain since 1997. The aim of this study was to know the trend of cases notified during 1998-2003 and to determine the epidemiological characteristics of the last year. The information source was the compulsory report of illness surveillance system. The number of cases and incidence rates observed from 1998 to 2003 were: 16 and 0.31 in 1998, 33 and 0.67 in 1999, 42 and 0.84 in 2000, 53 and 1.09 in 2001, 135 and 2.47 in 2002 and 83 and 1.50 in 2003. The main symptoms were fever in 62 cases, respiratory symptoms in 56 cases, neurological symptoms in 20 cases, and vomiting and diarrhea in 15 cases.

III C of the original publication,[1] was developed based on a previous unpublished implementation by Jacek Jakowski. In order to acknowledge his work on this first implementation, the authors of the original publication wish to include J. Jakowski as co-author. Erratum: "DFTB+, a software package for efficient approximate density functional theory based atomistic simulations" [J. Chem. Phys. [Extracted from the article]