Development and Delivery of a Brief Intervention to Reduce Suicidal Ideation among Veterans in a Primary Care Setting

An elevated rate of suicide among Veterans remains a growing and pressing public health concern. Available interventions often lack empirical support or are too protracted and expensive to implement on a wide scale. Primary care represents a unique opportunity with which to engage those Veterans who are experiencing suicidal ideation. However, Veterans who are not at imminent risk often fall into a treatment gap and experience significant wait times until beginning treatment with a specialty mental healthcare provider. An efficacious intervention introduced into this gap in services may reduce suicidal ideation among Veterans and increase rates of follow-up with specialty care. One therapeutic intervention that has been identified as being efficacious in the reduction of suicidal ideation and suicidal self-directed violence is dialectical behavior therapy (DBT). A brief intervention aimed at reducing suicidal ideation was piloted among a sample of Veterans enrolled in primary care at a Department of Veterans Affairs (VA) medical center (n = 4; 1 completed full protocol). The intervention drew on elements of DBT and included four brief training modules including (mindfulness, distress tolerance, interpersonal effectiveness, and emotion regulation). Using single-case experimental design methodology and ecological momentary assessment, preliminary data from daily assessments indicate this method of data collection is feasible and suggests that the emotion regulation and interpersonal effectiveness modules may help to reduce the variability of suicidal ideation, as well as alcohol consumption

Charged Higgs bosons from the 3-3-1 models and the R(D(∗))\mathcal{R}(D^{(*)}) anomalies

Several anomalies in the semileptonic B-meson decays such as $\mathcal{R}(D^{(*)})$ have been reported by $BABAR$, Belle, and LHCb collaborations recently. In this paper, we investigate the contributions of the charged Higgs bosons from the 3-3-1 models to the $\mathcal{R}(D^{(*)})$ anomalies. We find that, in a wide range of parameter space, the 3-3-1 models might give reasonable explanations to the $\mathcal{R}(D^{(*)})$ anomalies and other analogous anomalies of the B meson's semileptonic decays.Comment: Accpeted by Physical Review

Waveless picking : managing the system and making the case for adoption and change

Thesis (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division; and, (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; in conjunction with the Leaders for Global Operations Program at MIT, 2010.Cataloged from PDF version of thesis.Includes bibliographical references (p. 63-66).Wave-based picking systems have been used as the standard for warehouse order fulfillment for many years. Waveless picking has emerged in recent years as an alternative pick scheduling system, with proponents touting the productivity and throughput gains within such a system. This paper analyzes in more depth the differences between these two types of systems, and offers insight into the comparative advantages and disadvantages of each. While a select few pieces of literature perform some analyses of wave vs. waveless picking, this paper uses a case-study of a waveless picking system in an Amazon.com fulfillment center as a model for how to manage a waveless system once it has been adopted. Optimization methods for decreasing chute-dwell time and increasing throughput by utilizing tote prioritization are also performed using discrete-simulation modeling. The analysis concludes that managing waveless picking warehouse flow by controlling the allowable quantity of partially picked orders to match downstream chute capacity can lead to reduced control over cycle times and customer experience. Suggestions are also made on possible future research for how to optimally implement a cycle-time controlled system.by G. Todd Bishop.M.B.A.S.M

Environments for sonic ecologies

This paper outlines a current lack of consideration for the environmental context of Evolutionary Algorithms used for the generation of music. We attempt to readdress this balance by outlining the benefits of developing strong coupling strategies between agent and en- vironment. It goes on to discuss the relationship between artistic process and the viewer and suggests a placement of the viewer and agent in a shared environmental context to facilitate understanding of the artistic process and a feeling of participation in the work. The paper then goes on to outline the installation ‘Excuse Me and how it attempts to achieve a level of Sonic Ecology through the use of a shared environmental context

Year-round observations of carbon biomass and flux variability in the Southern Ocean

Three Carbon Explorer (CE) floats profiling to kilometer depths in the Southern Ocean tracked dawn-dusk variations of mixing/stratification, particulate organic carbon (POC), and light scattering and sedimentation at 100, 250, and 800 m continuously from January 2002 to April 2003. Data were analyzed in conjunction with contemporaneous satellite winds and chlorophyll and derived subsurface light fields. The CE deployed at 66{sup o}S 172{sup o}W operated in the ice edge zone in absence of light. Two CEs deployed at 55{sup o}S 172{sup o}W recorded wintertime mixing to {approx}400 m, yet observed very different bloom dynamics and sedimentation the following spring. Four hypotheses are explored. The strongest is that shallow transient stratification of the deep winter mixed layer to shallower than photosynthetic critical depth occurred more frequently in the non-bloom/higher sedimentation case. The lower particle export to 800 m under the bloom was hypothesized to be due to higher interception of sinking carbon by a relatively starved over wintering zooplankton population. In the Southern Ocean surface phytoplankton biomass may counter indicate particle flux at kilometer depths

Multi-scale recordings for neuroprosthetic control of finger movements

We trained a rhesus monkey to perform individuated and combined finger flexions and extensions of the thumb, index, and middle finger. A Utah Electrode Array (UEA) was implanted into the hand region of the motor cortex contralateral to the monkey's trained hand. We also implanted a microwire electrocorticography grid (µECoG) epidurally so that it covered the UEA. The µECoG grid spanned the arm and hand regions of both the primary motor and somatosensory cortices. Previously this monkey had Implantable MyoElectric Sensors (IMES) surgically implanted into the finger muscles of the monkey's forearm. Action potentials (APs), local field potentials (LFPs), and µECoG signals were recorded from wired head-stage connectors for the UEA and µECoG grids, while EMG was recorded wirelessly. The monkey performed a finger flexion/extension task while neural and EMG data were acquired. We wrote an algorithm that uses the spike data from the UEA to perform a real-time decode of the monkey's finger movements. Also, analyses of the LFP and µECoG data indicate that these data show trial-averaged differences between different finger movements, indicating the data are potentially decodeable

Multi-scale recordings for neuroprosthetic control of finger movements

We trained a rhesus monkey to perform individuated and combined finger flexions and extensions of the thumb, index, and middle finger. A Utah Electrode Array (UEA) was implanted into the hand region of the motor cortex contralateral to the monkey's trained hand. We also implanted a microwire electrocorticography grid (µECoG) epidurally so that it covered the UEA. The µECoG grid spanned the arm and hand regions of both the primary motor and somatosensory cortices. Previously this monkey had Implantable MyoElectric Sensors (IMES) surgically implanted into the finger muscles of the monkey's forearm. Action potentials (APs), local field potentials (LFPs), and µECoG signals were recorded from wired head-stage connectors for the UEA and µECoG grids, while EMG was recorded wirelessly. The monkey performed a finger flexion/extension task while neural and EMG data were acquired. We wrote an algorithm that uses the spike data from the UEA to perform a real-time decode of the monkey's finger movements. Also, analyses of the LFP and µECoG data indicate that these data show trial-averaged differences between different finger movements, indicating the data are potentially decodeable

Real-Time Decision Fusion for Multimodal Neural Prosthetic Devices

The field of neural prosthetics aims to develop prosthetic limbs with a brain-computer interface (BCI) through which neural activity is decoded into movements. A natural extension of current research is the incorporation of neural activity from multiple modalities to more accurately estimate the user's intent. The challenge remains how to appropriately combine this information in real-time for a neural prosthetic device., i.e., fusing predictions from several single-modality decoders to produce a more accurate device state estimate. We examine two algorithms for continuous variable decision fusion: the Kalman filter and artificial neural networks (ANNs). Using simulated cortical neural spike signals, we implemented several successful individual neural decoding algorithms, and tested the capabilities of each fusion method in the context of decoding 2-dimensional endpoint trajectories of a neural prosthetic arm. Extensively testing these methods on random trajectories, we find that on average both the Kalman filter and ANNs successfully fuse the individual decoder estimates to produce more accurate predictions.Our results reveal that a fusion-based approach has the potential to improve prediction accuracy over individual decoders of varying quality, and we hope that this work will encourage multimodal neural prosthetics experiments in the future

Age is in the Eye of the Beholder: Examining the Cues Employed to Construct the Illusion of Youth in Teen Pornography

Past research has identified a subgenre of mainstream pornography that attempts to create the illusion for consumers that sex is occurring between an adult and a minor (i.e., a child or young adolescent under the age of 18). This illusion is established through various textual, verbal, visual, and behavioural cues. Although the construction of adult–minor relationships in pornography has received some scholarly attention, there has been no attempt to investigate this phenomenon within pornographic videos available via the Internet. The current study addressed this omission by analyzing for content 150 of the most popular “teen” pornography videos available on three pornography websites. We coded for textual, visual, verbal, and behavioural content that connoted sexual activity between an adult and a minor. Results indicated that a small number of videos (28, 18.7 % of the sample) contained a disproportionate percentage of cues (54.2 %), with the remaining videos containing little or no youth sexualized content. We conclude that only a subsample of videos clearly attempted to portray adult–minor relationships. The prevalence of various cues within the sample was quantified and discussed, as were limitations associated with this study and directions for future research

Microscopy with ultraviolet surface excitation for rapid slide-free histology.

Histologic examination of tissues is central to the diagnosis and management of neoplasms and many other diseases, and is a foundational technique for preclinical and basic research. However, commonly used bright-field microscopy requires prior preparation of micrometre-thick tissue sections mounted on glass slides, a process that can require hours or days, that contributes to cost, and that delays access to critical information. Here, we introduce a simple, non-destructive slide-free technique that within minutes provides high-resolution diagnostic histological images resembling those obtained from conventional haematoxylin-and-eosin-histology. The approach, which we named microscopy with ultraviolet surface excitation (MUSE), can also generate shape and colour-contrast information. MUSE relies on ~280-nm ultraviolet light to restrict the excitation of conventional fluorescent stains to tissue surfaces, and it has no significant effects on downstream molecular assays (including fluorescence in situ hybridization and RNA-seq). MUSE promises to improve the speed and efficiency of patient care in both state-of-the-art and low-resource settings, and to provide opportunities for rapid histology in research