3,301 research outputs found
Fluorescent carbon dioxide indicators
No full textOver the last decade, fluorescence has become the dominant tool in biotechnology and medical imaging. These exciting advances have been underpinned by the advances in time-resolved techniques and instrumentation, probe design, chemical / biochemical sensing, coupled with our furthered knowledge in biology. Complementary volumes 9 and 10, Advanced Concepts of Fluorescence Sensing: Small Molecule Sensing and Advanced Concepts of Fluorescence Sensing: Macromolecular Sensing, aim to summarize the current state of the art in fluorescent sensing. For this reason, Drs. Geddes and Lakowicz have invited chapters, encompassing a broad range of fluorescence sensing techniques. Some chapters deal with small molecule sensors, such as for anions, cations, and CO2, while others summarize recent advances in protein-based and macromolecular sensors. The Editors have, however, not included DNA or RNA based sensing in this volume, as this were reviewed in Volume 7 and is to be the subject of a more detailed volume in the near future
Mental imagery as an emotional amplifier: Application to bipolar disorder
No full textCognitions in the form of mental images have a more powerful impact on emotion than their verbal counterparts. This review synthesizes the cognitive science of imagery and emotion with transdiagnostic clinical research, yielding novel predictions for the basis of emotional volatility in bipolar disorder. Anxiety is extremely common in patients with bipolar disorder and is associated with increased dysfunction and suicidality, yet it is poorly understood and rarely treated. Mental imagery is a neglected aspect of bipolar anxiety although in anxiety disorders such as posttraumatic stress disorder and social phobia focusing on imagery has been crucial for the development of cognitive behavior therapy (CBT).In this review we present a cognitive model of imagery and emotion applied to bipolar disorder. Within this model mental imagery amplifies emotion, drawing on Clark's cyclical panic model [(1986). A cognitive approach to panic. Behaviour Research and Therapy, 24, 461–470]. We (1) emphasise imagery's amplification of anxiety (cycle one); (2) suggest that imagery amplifies the defining (hypo-) mania of bipolar disorder (cycle two), whereby the overly positive misinterpretation of triggers leads to mood elevation (escalated by imagery), increasing associated beliefs, goals, and action likelihood (all strengthened by imagery).Imagery suggests a unifying explanation for key unexplained features of bipolar disorder: ubiquitous anxiety, mood instability and creativity. Introducing imagery has novel implications for bipolar treatment innovation - an area where CBT improvements are much-needed
Mood stability versus mood instability in bipolar disorder: A possible role for emotional mental imagery
No full textA cognitive model of bipolar disorder suggests that mental imagery acts as an emotional amplifier of mood and may be heightened in bipolar disorder. First, we tested whether patients with bipolar disorder would score higher on mental imagery measures than a matched healthy control group. Second, we examined differences in imagery between patients divided into groups according to their level of mood stability. Mood ratings over approximately 6-months, made using a mobile phone messaging system, were used to divide patients into stable or unstable groups. Clinician decisions of mood stability were corroborated with statistical analysis. Results showed (I) compared to healthy controls, patients with bipolar disorder had significantly higher scores for general mental imagery use, more vivid imagery of future events, higher levels of intrusive prospective imagery, and more extreme imagery-based interpretation bias; (II) compared to patients with stable mood, patients with unstable mood had higher levels of intrusive prospective imagery, and this correlated highly with their current levels of anxiety and depression. The findings were consistent with predictions. Further investigation of imagery in bipolar disorder appears warranted as it may highlight processes that contribute to mood instability with relevance for cognitive behaviour therapy
Antidepressants and suicide symptoms: compelling new insights from the FDA's analysis of individual patient level data.
No full text[No abstract available
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Nonlinear time-series approaches in characterizing mood stability and mood instability in bipolar disorder.
No full textBipolar disorder is a psychiatric condition characterized by episodes of elevated mood interspersed with episodes of depression. While treatment developments and understanding the disruptive nature of this illness have focused on these episodes, it is also evident that some patients may have chronic week-to-week mood instability. This is also a major morbidity. The longitudinal pattern of this mood instability is poorly understood as it has, until recently, been difficult to quantify. We propose that understanding this mood variability is critical for the development of cognitive neuroscience-based treatments. In this study, we develop a time-series approach to capture mood variability in two groups of patients with bipolar disorder who appear on the basis of clinical judgement to show relatively stable or unstable illness courses. Using weekly mood scores based on a self-rated scale (quick inventory of depressive symptomatology-self-rated; QIDS-SR) from 23 patients over a 220-week period, we show that the observed mood variability is nonlinear and that the stable and unstable patient groups are described by different nonlinear time-series processes. We emphasize the necessity in combining both appropriate measures of the underlying deterministic processes (the QIDS-SR score) and noise (uncharacterized temporal variation) in understanding dynamical patterns of mood variability associated with bipolar disorder
Financial Summit: J.R. Briggs & Dave Briggs
No full textDave and J.R. Briggs speak on stewardship of finances.
Dave Briggs currently serves as the stewardship director at Central Christian Church of Arizona. Previously he served in a similar role at Willowcreek Church and prior to that was a finance manager for GE for 27 years. He has developed numerous financial seminars and classes and regularly speaks at churches and conferences around the country. Dave and his wife Debbie had two sons attend Taylor and served for three years on the Taylor Parents’ Cabinet.
J.R. Briggs wears a variety of ministry hats. On a local level, he serves as one of the pastors of The Renew Community. He is also the Founder and Director of Kairos Partnerships and Director of Leadership and Congregation Formation for the Ecclesia Network. He is a life coach, consultant, frequent speaker, and author of seven books. He and his wife Megan, along with their two sons Carter and Bennett, live in the Philadelphia area
The effect of turbulence on particle impaction om a cylinder in a cross flow
No full textParticle impaction on a cylinder in a cross flow is investigated with the use of Direct Numerical Simulations (DNS), with a focus on the effect of turbulence on the impaction efficiency. It is found that for particles with Stokes numbers in the boundary stopping mode there is up to ten times more front side impaction for turbulence with a large integral scale, than for a corresponding laminar flow. The back side impaction efficiency is also found to be influenced by the turbulence. The highest back side impaction efficiency is found for turbulence with small integral scales
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