1,895 research outputs found
Diffusion at constant speed in a model phase space
We reconsider the problem of diffusion of particles at constant speed and
present a generalization of the Telegrapher process to higher dimensional
stochastic media (), where the particle can move along directions.
We derive the equations for the probability density function using the
``formulae of differentiation'' of Shapiro and Loginov. The model is an
advancement over similiar models of photon migration in multiply scattering
media in that it results in a true diffusion at constant speed in the limit of
large dimensions.Comment: Final corrected version RevTeX, 6 pages, 1 figur
Hydrogeochemical Characterization of Groundwater in the Outaouais Region (Quebec, Canada)-A Regional Scale Study
As part of the Québec regional groundwater characterization program (PACES), a detailed groundwater quality survey
was undertaken in the Outaouais Region (Québec, Canada). During the summers of 2011 and 2012, 139 samples were
taken from municipal and private wells which were analysed for major ions, nutrients, metals and sulphides. About 70%
of the samples were obtained from bedrock wells, mainly in the Canadian Shield and the remainder from wells screened
in Quaternary deposit aquifers. Analysis quality was evaluated by calculating the anion-cation balance. As a result, 127
samples with anion-cation charge balance errors within ±10 % were used for the determination of hydrogeochemical
facies. The classification by facies is also supported by multivariate statistical analysis, namely Principal Component
Analysis (PCA) and Hierarchical Clustering Analysis (HCA). The study has identified Champlain Sea invasion, cation
exchange and freshwater recharge as the main geochemical processes affecting groundwater chemistry in this region
Hydrogeochemical Characterization of Groundwater in the Outaouais Region (Quebec, Canada)-A Regional Scale Study
As part of the Québec regional groundwater characterization program (PACES), a detailed groundwater quality survey
was undertaken in the Outaouais Region (Québec, Canada). During the summers of 2011 and 2012, 139 samples were
taken from municipal and private wells which were analysed for major ions, nutrients, metals and sulphides. About 70%
of the samples were obtained from bedrock wells, mainly in the Canadian Shield and the remainder from wells screened
in Quaternary deposit aquifers. Analysis quality was evaluated by calculating the anion-cation balance. As a result, 127
samples with anion-cation charge balance errors within ±10 % were used for the determination of hydrogeochemical
facies. The classification by facies is also supported by multivariate statistical analysis, namely Principal Component
Analysis (PCA) and Hierarchical Clustering Analysis (HCA). The study has identified Champlain Sea invasion, cation
exchange and freshwater recharge as the main geochemical processes affecting groundwater chemistry in this region
The thalamic low-threshold Ca2+ potential: a key determinant of the local and global dynamics of the slow (<1 Hz) sleep oscillation in thalamocortical networks
During non-rapid eye movement sleep and certain types of anaesthesia, neurons in the neocortex and thalamus exhibit a distinctive slow (<1 Hz) oscillation that consists of alternating UP and DOWN membrane potential states and which correlates with a pronounced slow (<1 Hz) rhythm in the electroencephalogram. While several studies have claimed that the slow oscillation is generated exclusively in neocortical networks and then transmitted to other brain areas, substantial evidence exists to suggest that the full expression of the slow oscillation in an intact thalamocortical (TC) network requires the balanced interaction of oscillator systems in both the neocortex and thalamus. Within such a scenario, we have previously argued that the powerful low-threshold Ca2+ potential (LTCP)-mediated burst of action potentials that initiates the UP states in individual TC neurons may be a vital signal for instigating UP states in related cortical areas. To investigate these issues we constructed a computational model of the TC network which encompasses the important known aspects of the slow oscillation that have been garnered from earlier in vivo and in vitro experiments. Using this model we confirm that the overall expression of the slow oscillation is intricately reliant on intact connections between the thalamus and the cortex. In particular, we demonstrate that UP state-related LTCP-mediated bursts in TC neurons are proficient in triggering synchronous UP states in cortical networks, thereby bringing about a synchronous slow oscillation in the whole network. The importance of LTCP-mediated action potential bursts in the slow oscillation is also underlined by the observation that their associated dendritic Ca2+ signals are the only ones that inform corticothalamic synapses of the TC neuron output, since they, but not those elicited by tonic action potential firing, reach the distal dendritic sites where these synapses are located
Sequential quasi-Monte Carlo: Introduction for Non-Experts, Dimension Reduction, Application to Partly Observed Diffusion Processes
SMC (Sequential Monte Carlo) is a class of Monte Carlo algorithms for
filtering and related sequential problems. Gerber and Chopin (2015) introduced
SQMC (Sequential quasi-Monte Carlo), a QMC version of SMC. This paper has two
objectives: (a) to introduce Sequential Monte Carlo to the QMC community, whose
members are usually less familiar with state-space models and particle
filtering; (b) to extend SQMC to the filtering of continuous-time state-space
models, where the latent process is a diffusion. A recurring point in the paper
will be the notion of dimension reduction, that is how to implement SQMC in
such a way that it provides good performance despite the high dimension of the
problem.Comment: To be published in the proceedings of MCMQMC 201
Character Strengths and Deep Connections Following Hurricanes Katrina and Rita: Spiritual and Secular Pathways to Resistance Among Volunteers
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/100170/1/jssr12043.pd
Impact of level of personality pathology on affective, behavioral, and thought problems in pregnant women during the Coronavirus Disease 2019 pandemic
Among at-risk groups for psychological distress in the context of the Coronavirus Disease 2019 (COVID-19) pandemic, pregnant women might be especially vulnerable. Identifying subgroups of pregnant women at high risk of poor adaptation might optimize clinical screening and intervention, which could, in turn, contribute to mitigating the potentially devastating effects of prenatal stress on mothers and fetus. Level of personality functioning may be a good indicator of who may be more vulnerable to distress in challenging periods like the COVID-19 pandemic, as adults with high levels of personality dysfunction may experience significant difficulties in mentalizing threatening situations. The aims of the present study are (a) to determine the impact of level of personality pathology on affective, behavioral, and thought problems in pregnant women during the COVID-19 pandemic; and (b) to test a model where mentalization of trauma mediates the impact of personality pathology on symptomatology. Data from 1,207 French-Canadian pregnant women recruited through social media during the COVID-19 pandemic were analyzed. Latent profile analysis, using the Criterion A elements of the alternative model for personality disorders (Identity, Self-Direction, Empathy, Intimacy) as latent indicators, yielded four profiles: Healthy, Mild Self-Impairment, Intimacy Impairment, and Personality Disorder. Profiles showed significant associations with diverse indicators of symptomatology. Mediation models showed both direct and indirect (through mentalization of trauma) significant associations between level of personality functioning and affective/behavioral/thought problems. Results have clinical implications on prophylactic measures for at-risk pregnant women, especially in challenging contexts such as the COVID-19 pandemic
Effects of a dietary supplement on golf drive distance and functional indices of golf performance
Background
Limited research exists examining the impact of nutrition on golfing performance. This study’s purpose was to determine the impact of daily supplementation with an over-the-counter dietary supplement on golf performance. Methods
Healthy men (30.3 ± 6.9 y, 183.1 ± 5.6 cm, 86.7 ± 11.9 kg), with a 5–15 handicap were assigned in a double-blind, placebo-controlled manner to ingest for 30 days either a placebo (PLA, n = 13) or a dietary supplement containing creatine monohydrate, coffea arabica fruit extract, calcium fructoborate and vitamin D (Strong Drive™, SD, n = 14). Subjects ingested two daily doses for the first two weeks and one daily dose for the remaining two weeks. Participants followed their normal dietary habits and did not change their physical activity patterns. Two identical testing sessions in a pre/post fashion were completed consisting of a fasting blood sample, anthropometric measurements, 1-RM bench press, upper body power and golf swing performance using their driver and 7-iron. Data were analyzed using two-way mixed factorial ANOVAs and ANCOVA when baseline differences were present. Statistical significance was established a priori at p ≤ 0.05. Results
ANCOVA revealed significantly greater (post-test) best drive distance (p = 0.04) for SD (+5.0% [+13.6 yards], ES = 0.75) as well as a tendency (p = 0.07) for average drive distance to increase (+8.4% [+19.6 yards], ES = 0.65), while no such changes were found with PLA (−0.5% [−1.2 yards], ES = 0.04 and +1.3% [+2.8 yards], ES = 0.08, respectively). Both groups experienced significant increases in body mass and 1-RM bench press (p \u3c 0.001). No other significant group × time interactions were found. For the SD group only, within-group analysis confirmed significant improvements in set 1 average (+8.9%, p = 0.001) and peak velocity (+6.8%, p \u3c =0.01). No changes were noted for reported adverse events, pain inventories, quality of life or any measured blood parameter. Conclusions
SD supplementation for 30 days significantly improved best drive distance more than placebo. Supplementation was well tolerated and did not result in any clinically significant changes in markers of health or adverse events/side effect profiles
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