1,166 research outputs found
A model system to study the effects of elevated CO2 on the developmental physiology of roots: the use of Arabidopsis thaliana
Three developmental changes were observed in the roots of Arabidopsis thaliana (Columbia) when shoots were exposed to elevated CO2. (i) The allometric coefficient, k, was enhanced significantly (P<0.001), (ii) primary root length and root extension rate were enhanced (P<0.001). Accelerated cortical cell expansion contributed to this effect and was associated with increased cell wall extensibility, measured as % plasticity. (iii) Lateral root formation and extension were also increased in elevated CO2 (P<0.05). These results illustrate that root growth and structure was altered following exposure to elevated CO2. The changes observed suggest that Arabidopsis provides a useful model which should, in future, be amenable to study using appropriate mutants allowing the genetic basis of the responses to be identified
Elevated atmospheric CO<sub>2</sub> increases fine root production, respiration, rhizosphere respiration and soil CO<sub>2</sub> efflux in Scots pine seedlings
In this study, we investigated the impact of elevated atmospheric CO2 (ambient + 350 µmol mol–1) on fine root production and respiration in Scots pine (Pinus sylvestris L.) seedlings. After six months exposure to elevated CO2, root production measured by root in-growth bags, showed significant increases in mean total root length and biomass, which were more than 100% greater compared to the ambient treatment. This increased root length may have lead to a more intensive soil exploration. Chemical analysis of the roots showed that the roots in the elevated treatment accumulated more starch and had a lower C/N-ratio. Specific root respiration rates were significantly higher in the elevated treatment and this was probably attributed to increased nitrogen concentrations in the roots. Rhizospheric respiration and soil CO2 efflux were also enhanced in the elevated treatment. These results clearly indicate that under elevated atmospheric CO2 root production and development in Scots pine seedlings is altered and respiratory carbon losses through the root system are increased
Faces and Places in Fashion: Meg Flather, Home Shopping Diva
Meg Flather has spent decades building a multi-faceted career in performance, cosmetics and media. As author of Lessons, Lyrics and Lipstick, Meg performs entertaining and inspirational seminars for men and women embarking on similar vocations. As national makeup artist for OLAY, Meg worked closely with public relations, marketing and product development. As a home shopping brand ambassador, Meg has grown sales for PERLIER on TSC, Canada, Aloette on Shop NBC, PRAI on TVSN, Australia, StriVectin on QVC, and TSC, Canada. In December, 2015, Meg became the New York based Director of Education for TATCHA skincare.Meg began her cosmetic career in New York City. She was special events captain for all metropolitan accounts for Clinique, resident make-up artist for Yves St. Laurent at Bergdorf Goodman, held the highest national sales record for both Stila and Body and Soul at Barney’s, and raised customer service and artistry standards at all Face Stockholm locations. As an expert in her field, Meg has been featured on The Discovery Channel, in 15 national publications and her artistry credits include People Magazine, NBC Daytime, CNN, 20/20, The View, documentary films and numerous private clients.Part presentation, part Q&A, the "Faces & Places in Fashion" lecture series is an opportunity to connect students and the public alike to the pulse of the fashion industry in an open and conversational setting
Meg Medina Spanish Language Picture Book Award 2022 Acceptance Speech
Author Meg Medina gives her Silver Medal acceptance speech for Evelyn del Rey se muda illustrated by Sonia Sánchez (Candlewick)https://educate.bankstreet.edu/spanishlanguageaward/1000/thumbnail.jp
An Oral History Interview with Meg Leta Jones
An Oral History Interview with Meg Leta Jones conducted by Gerardo Con DiazThis oral history interview is sponsored by NSF 2202484, “Mining a Usable Past: Perspectives, Paradoxes, and Possibilities with Security and Privacy,” at the Charles Babbage Institute, University of Minnesota. The interview is with Meg Leta Jones, Provost’s Distinguished Associate Professor in the Communication, Culture, and Technology program at Georgetown University. Jones discusses her upbringing in rural Illinois, her education in engineering, law, and communication studies, and her path to interdisciplinary privacy scholarship. She reflects on her work on the right to be forgotten, data deletion, and comparative privacy regimes. Then she discusses her engagement with design, infrastructure, and information ethics, as well as her roles as author, mentor, and public scholar.National Science FoundationLeta Jones, Meg. (2025). An Oral History Interview with Meg Leta Jones. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/274361
In Conversation: Tom and Meg Keneally, 9 Sep 2016
Tom Keneally, author of Schindler's Ark and The Chant of Jimmy Blacksmith, in conversation with Meg Keneally about their new historical crime series, The Soldier's Curse: Book One of the Monsarrat Series. In conversation with Dr Kim Wilkins, UQ School of Communication and Arts. Event held in conjunction with the 2016 Brisbane Writers Festival
Positron timing and detection in the MEG experiment
Here the high timing resolution positron detector designed to be used in the MEG experiment is described. Several technical challenges have been faced to obtain the unprecedented goal resolution of 100 ps FWHM for positrons to be detected in the MEG experiment. Also an overview on past experiments is proposed. The key role of the MEG experiment in unveiling New Physics phenomena is briefly stressed. © owned by the author
Flexible head-casts for high spatial precision MEG.
BACKGROUND: In combination with magnetoencephalographic (MEG) data, accurate knowledge of the brain's structure and location provide a principled way of reconstructing neural activity with high temporal resolution. However, measuring the brain's location is compromised by head movement during scanning, and by fiducial-based co-registration with magnetic resonance imaging (MRI) data. The uncertainty from these two factors introduces errors into the forward model and limit the spatial resolution of the data. NEW METHOD: We present a method for stabilizing and reliably repositioning the head during scanning, and for co-registering MRI and MEG data with low error. RESULTS: Using this new flexible and comfortable subject-specific head-cast prototype, we find within-session movements of <0.25mm and between-session repositioning errors around 1mm. COMPARISON WITH EXISTING METHOD(S): This method is an improvement over existing methods for stabilizing the head or correcting for location shifts on- or off-line, which still introduce approximately 5mm of uncertainty at best (Adjamian et al., 2004; Stolk et al., 2013; Whalen et al., 2008). Further, the head-cast design presented here is more comfortable, safer, and easier to use than the earlier 3D printed prototype, and give slightly lower co-registration errors (Troebinger et al., 2014b). CONCLUSIONS: We provide an empirical example of how these head-casts impact on source level reproducibility. Employment of the individual flexible head-casts for MEG recordings provide a reliable method of safely stabilizing the head during MEG recordings, and for co-registering MRI anatomical images to MEG functional data
MEG time-frequency analyses for pre- and post-surgical evaluation of patients with epileptic rhythmic fast activity
Purpose: To evaluate the effectiveness of surgery for epilepsy, we analyzed rhythmic fast activity by magnetoencephalography (MEG) before and after surgery using time-frequency analysis. To assess reliability, the results obtained by pre-surgical MEG and intraoperative electrocorticography were compared. Methods: Four children with symptomatic localization-related epilepsy caused by circumscribed cortical lesion were examined in the present study using 204 channel helmet-shaped MEG with a sampling rate of 600 Hz. One patient had dysembryoplastic neuroepithelial tumor (DNT) and three patients had focal cortical dysplasia (FCD). Aberrant areas were superimposed, to reconstruct 3-D MRI images, and illustrated as moving images. Results: In three patients, short-time Fourier transform (STFT) analyses of MEG showed rhythmic activities just above the lesion with FCD and in the vicinity of DNT. In one patient with FCD in the medial temporal lobe, rhythmic activity appeared in the ipsilateral frontal lobe and temporal lateral aspect. These findings correlate well with the results obtained by intraoperative electrocorticography. After the surgery, three patients were relieved of their seizures, and the area of rhythmic MEG activity disappeared or become smaller. One patient had residual rhythmic MEG activity, and she suffered from seizure relapse. Conclusion: Time-frequency analyses using STFT successfully depicted MEG rhythmic fast activity, and would provide valuable information for pre- and post-surgical evaluations to define surgical strategies for patients with epilepsy
A Brief Introduction to Magnetoencephalography (MEG) and Its Clinical Applications
Funding Information: Acknowledgments: S.W.K.J, V.V., P.P. and B.G. acknowledge the support from Lee Kong Chian School of Medicine and Data Science and AI Research (DSAIR) Centre of NTU (Project Number ADH‐11/2017‐DSAIR and the support from the Cognitive Neuroimaging Centre (CONIC) at Nan‐ yang Technological University, Singapore. Publisher Copyright: © 2022 by the author. Licensee MDPI, Basel, Switzerland.Magnetoencephalography (MEG) plays a pivotal role in the diagnosis of brain disorders. In this review, we have investigated potential MEG applications for analysing brain disorders. The signal‐to‐noise ratio (SNRMEG =2.2 db, SNREEG <1 db) and spatial resolution (SRMEG =2–3 mm, SREEG =7–10 mm) is higher for MEG than EEG, thus MEG potentially facilitates accurate monitoring of cortical activity. We found that the direct electrophysiological MEG signals reflected the physiological status of neurological disorders and play a vital role in disease diagnosis. Single‐channel con-nectivity, as well as brain network analysis, using MEG data acquired during resting state and a given task has been used for the diagnosis of neurological disorders such as epilepsy, Alzheimer’s, Parkinsonism, autism, and schizophrenia. The workflow of MEG and its potential applications in the diagnosis of disease and therapeutic planning are also discussed. We forecast that computer-aided algorithms will play a prominent role in the diagnosis and prediction of neurological diseases in the future. The outcome of this narrative review will aid researchers to utilise MEG in diagnostics.Peer reviewe
- …
