Evaluation and development of pasture species for deep sandy soils in low to medium rainfall areas.

Trial 90EC1 Effect of species and maturity on dry matter production and water use of annual medic on deep sandplain soil. Location: East Chapman. All medic cultivars were preferentially grazed compared to Paros serradella which did not allow a proper comparison between the two species in the grazed treatment. 2. Poor nodulation in Harbinger due to incompatability with the current Group A inoculant (R. meliloti strain WSM 540) resulted in poor-growth-and-low-seed-yield. - 3. Water use was directly related to maturity or time taken to flower ; total water extraction (mm) = 1.48 * days to flower - 41.1 R2 = 0.85 However seed yields decreased with maturity. 3. Water use was not significantly different in grazed and ungrazed treatments. This may be a reflection of the dry spring conditions which had a greater effect on the ungrazed swards which defoliated severely under moisture stress. Trial 89GE60 Evaluation of annual medics on deep sandplain soil Location: Henville and Tenindewa Average over all lines and species, nodulated plants had five times the dry weight of unnodulated plants by July 18. All nodulation was low however subclover and murex medic had the greatest proportion of plants nodulated. The presence of a considerable compaction layer may have favoured the shallower rooting subclover cultivars, with Dalkeith and Nungarin producing significantly greater dry matter yields than most medic lines. Dry matter yields of various annual medic lines on deep yellow sandplain at Tenindewa 1990. Plots were sprayed with 400 ml/ha of 2,4 DB on 30/7 and grazed heavily between 6/8 and 20/8 to control double-gee and capeweed. All lines besides subclover failed to recover fully after this treatment, although the lines Parabinga, Z-110, Madeira and Paros appeared more tolerant than others. Before spraying the M. tornata lines had regenerated well and on average produced over 60% more dry matter by July compared to the volunteer treatment

Correction to: The hidden therapist: evidence for a central role of music in psychedelic therapy.

The article The hidden therapist: evidence for a central role of music in psychedelic therapy, written by Mendel Kaelen, Bruna Giribaldi, Jordan Raine, Lisa Evans, Christopher Timmerman, Natalie Rodriguez, Leor Roseman, Amanda Feilding, David Nutt, Robin Carhart-Harris, was originally published electronically on the publisher's internet portal

New development: strategic user orientation in public services delivery—the missing link in the strategic trinity?

This paper explores the application of strategic planning and management to Public Service Organisations (PSOs). It argues that the impact of these approaches has been limited by the absence of an underlying strategic orientation that would provide a value-base upon which to embed these approaches within PSOs. It argues further for such an orientation to privelege the need for public services to add value to the lives of citizens and service users and not to focus solely upon internal measures of efficiency and performance

Quasi-Elastic Scattering in the Inclusive (3^3He, t) Reaction

The triton energy spectra of the charge-exchange $^{12}$C($^3$He,t) reaction at 2 GeV beam energy are analyzed in the quasi-elastic nucleon knock-out region. Considering that this region is mainly populated by the charge-exchange of a proton in $^3$He with a neutron in the target nucleus and the final proton going in the continuum, the cross-sections are written in the distorted-wave impulse approximation. The t-matrix for the elementary exchange process is constructed in the DWBA, using one pion- plus rho-exchange potential for the spin-isospin nucleon- nucleon potential. This t-matrix reproduces the experimental data on the elementary pn $\rightarrow$np process. The calculated cross-sections for the $^{12}$C($^3$He,t) reaction at $2^o$ to $7^o$ triton emission angle are compared with the corresponding experimental data, and are found in reasonable overall accord.Comment: 19 pages, latex, 11 postscript figures available at [email protected], submitted to Phy.Rev.

Psilocybin for treatment-resistant depression: fMRI-measured brain mechanisms

Psilocybin with psychological support is showing promise as a treatment model in psychiatry but its therapeutic mechanisms are poorly understood. Here, cerebral blood flow (CBF) and blood oxygen-level dependent (BOLD) resting-state functional connectivity (RSFC) were measured with functional magnetic resonance imaging (fMRI) before and after treatment with psilocybin (serotonin agonist) for treatment-resistant depression (TRD). Quality pre and post treatment fMRI data were collected from 16 of 19 patients. Decreased depressive symptoms were observed in all 19 patients at 1-week post-treatment and 47% met criteria for response at 5 weeks. Whole-brain analyses revealed post-treatment decreases in CBF in the temporal cortex, including the amygdala. Decreased amygdala CBF correlated with reduced depressive symptoms. Focusing on a priori selected circuitry for RSFC analyses, increased RSFC was observed within the default-mode network (DMN) post-treatment. Increased ventromedial prefrontal cortex-bilateral inferior lateral parietal cortex RSFC was predictive of treatment response at 5-weeks, as was decreased parahippocampal-prefrontal cortex RSFC. These data fill an important knowledge gap regarding the post-treatment brain effects of psilocybin, and are the first in depressed patients. The post-treatment brain changes are different to previously observed acute effects of psilocybin and other ‘psychedelics’ yet were related to clinical outcomes. A ‘reset’ therapeutic mechanism is proposed

Bayesian hierarchical clustering for studying cancer gene expression data with unknown statistics

Clustering analysis is an important tool in studying gene expression data. The Bayesian hierarchical clustering (BHC) algorithm can automatically infer the number of clusters and uses Bayesian model selection to improve clustering quality. In this paper, we present an extension of the BHC algorithm. Our Gaussian BHC (GBHC) algorithm represents data as a mixture of Gaussian distributions. It uses normal-gamma distribution as a conjugate prior on the mean and precision of each of the Gaussian components. We tested GBHC over 11 cancer and 3 synthetic datasets. The results on cancer datasets show that in sample clustering, GBHC on average produces a clustering partition that is more concordant with the ground truth than those obtained from other commonly used algorithms. Furthermore, GBHC frequently infers the number of clusters that is often close to the ground truth. In gene clustering, GBHC also produces a clustering partition that is more biologically plausible than several other state-of-the-art methods. This suggests GBHC as an alternative tool for studying gene expression data. The implementation of GBHC is available at https://sites. google.com/site/gaussianbhc