The Formation of [TiO(H2O)n]+ Cluster Ions

Gas phase [TiO(H2O)n]+ clusters are produced by laser induced plasma reactions of titanium and water, and studied using a triple quadrupole mass spectrometer. More than 60 water molecules cluster onto TiO+; but, no [Ti(H2O)n]+ clusters are observed. The cluster size distributions of [TiO(H2O)n]+ can be fit to log-normal curves. Considered in the context of other data reported herein for cluster distributions of [NbO(H2O)n]+, it is concluded that the cluster formation and growth proceed via a coalescence mechanism between [TiO(H2O)n]+ and water molecule(s), which may lead to the formation of solvation shells. Ab initio calculations were employed to gain insight into the structures and energetics of small [TiO(H2O)n]+ clusters with n = 1–3. A charge donation from the water ligand to the TiO+ ion is found, which indicates the existence of high binding energies between water and TiO+. These experimental and theoretical results further contribute to an understanding of ion-induced nucleation in general, and hydration of TiO+, in particular

Decoding the neural substrates of reward-related decision making with functional MRI

Although previous studies have implicated a diverse set of brain regions in reward-related decision making, it is not yet known which of these regions contain information that directly reflects a decision. Here, we measured brain activity using functional MRI in a group of subjects while they performed a simple reward-based decision-making task: probabilistic reversal-learning. We recorded brain activity from nine distinct regions of interest previously implicated in decision making and separated out local spatially distributed signals in each region from global differences in signal. Using a multivariate analysis approach, we determined the extent to which global and local signals could be used to decode subjects' subsequent behavioral choice, based on their brain activity on the preceding trial. We found that subjects' decisions could be decoded to a high level of accuracy on the basis of both local and global signals even before they were required to make a choice, and even before they knew which physical action would be required. Furthermore, the combined signals from three specific brain areas (anterior cingulate cortex, medial prefrontal cortex, and ventral striatum) were found to provide all of the information sufficient to decode subjects' decisions out of all of the regions we studied. These findings implicate a specific network of regions in encoding information relevant to subsequent behavioral choice

Supervising EBT: What Content Do Workplace-Based Supervisors Cover and What Techniques Do They Use?

Workplace-based clinical supervision in public mental health is an underutilized resource for supporting evidence- based treatments (EBTs) [1], despite the fact that supervisors may offer a cost-effective way to support clinician fidelity to EBT. Very little, however, is known about the content and techniques used by workplace-based supervisors [2]; particularly in the context of EBT implementation [3]

Strengthening the Synapse between Outpatient Neurological Care and Inpatient Referral

Objective The goal of this project is to investigate if established neurology patients are appropriately referred to the emergency room. We suspect that there are patients that could be more effectively triaged to prevent unnecessary visits to the emergency department. If this is the case, implementing an intervention such as offering expedited visits or contingency plan, may reduce non-emergent inpatient consultative services5. This would also improve outpatient communication and decrease utilization of both ER and patient resources

Objective Coding of Content and Techniques in Workplace-Based Supervision of an EBT in Public Mental Health

BACKGROUND: Workplace-based clinical supervision as an implementation strategy to support evidence-based treatment (EBT) in public mental health has received limited research attention. A commonly provided infrastructure support, it may offer a relatively cost-neutral implementation strategy for organizations. However, research has not objectively examined workplace-based supervision of EBT and specifically how it might differ from EBT supervision provided in efficacy and effectiveness trials. METHODS: Data come from a descriptive study of supervision in the context of a state-funded EBT implementation effort. Verbal interactions from audio recordings of 438 supervision sessions between 28 supervisors and 70 clinicians from 17 public mental health organizations (in 23 offices) were objectively coded for presence and intensity coverage of 29 supervision strategies (16 content and 13 technique items), duration, and temporal focus. Random effects mixed models estimated proportion of variance in content and techniques attributable to the supervisor and clinician levels. RESULTS: Interrater reliability among coders was excellent. EBT cases averaged 12.4 min of supervision per session. Intensity of coverage for EBT content varied, with some discussed frequently at medium or high intensity (exposure) and others infrequently discussed or discussed only at low intensity (behavior management; assigning/reviewing client homework). Other than fidelity assessment, supervision techniques common in treatment trials (e.g., reviewing actual practice, behavioral rehearsal) were used rarely or primarily at low intensity. In general, EBT content clustered more at the clinician level; different techniques clustered at either the clinician or supervisor level. CONCLUSIONS: Workplace-based clinical supervision may be a feasible implementation strategy for supporting EBT implementation, yet it differs from supervision in treatment trials. Time allotted per case is limited, compressing time for EBT coverage. Techniques that involve observation of clinician skills are rarely used. Workplace-based supervision content appears to be tailored to individual clinicians and driven to some degree by the individual supervisor. Our findings point to areas for intervention to enhance the potential of workplace-based supervision for implementation effectiveness. TRIAL REGISTRATION: NCT01800266 , Clinical Trials, Retrospectively Registered (for this descriptive study; registration prior to any intervention [part of phase II RCT, this manuscript is only phase I descriptive results])

Neural computations underlying action-based decision making in the human brain

Action-based decision making involves choices between different physical actions to obtain rewards. To make such decisions the brain needs to assign a value to each action and then compare them to make a choice. Using fMRI in human subjects, we found evidence for action-value signals in supplementary motor cortex. Separate brain regions, most prominently ventromedial prefrontal cortex, were involved in encoding the expected value of the action that was ultimately taken. These findings differentiate two main forms of value signals in the human brain: those relating to the value of each available action, likely reflecting signals that are a precursor of choice, and those corresponding to the expected value of the action that is subsequently chosen, and therefore reflecting the consequence of the decision process. Furthermore, we also found signals in the dorsomedial frontal cortex that resemble the output of a decision comparator, which implicates this region in the computation of the decision itself

“I told you this last time, right?”: Re-visiting narratives of STEM education

The stories we tell ourselves and others - both as individuals and as a community - reflect how we make sense of our lives. Our work using narrative methods has explored how university graduates make sense of their learning experiences and how these fit within their wider learning trajectories. In this paper, we discuss work we conducted with a group of a dozen students who, when first interviewed, were in the second half of their undergraduate education at Olin College of Engineering. All twelve participants were re-interviewed four years later, after they had graduated, using the same narrative protocol that asked them to describe their learning 'life' as if it was a book, and to identify and describe individual chapters of their experience. The pairs of interviews were analysed with respect to their form and their content. In regard to form, a classification of these repeated stories is derived. Thematic analysis of the content examines a) how students come to study and practice computing and b) the continuing, and changing influence of a university education over time, as students construct an individual sense of coherence