253 research outputs found

    125 Gbps Pre-Compensated Nonlinear Frequency-Division Multiplexed Transmission

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    Record-high data rate of 125 Gb/s and SE over 2 bits/s/Hz in burst-mode single-polarization NFDM transmissions were achieved over 976 km of SSMF with EDFA-only amplification by transmitting and processing 222 32 QAM-modulated nonlinear subcarriers simultaneouslyComment: This paper will be presented at ECOC 2017, Gothenburg, Swede

    Does the Cross-Talk Between Nonlinear Modes Limit the Performance of NFDM Systems?

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    We show a non-negligible cross-talk between nonlinear modes in Nonlinear Frequency-Division Multiplexed system when data is modulated over the nonlinear Fourier spectrum, both the continuous spectrum and the discrete spectrum, and transmitted over a lumped amplified fiber link. We evaluate the performance loss if the cross-talks are neglected.Comment: Invited paper, European Conference on Optical Communication (ECOC 2017), Sept. 2017, p. Th.1.D.

    Navigating Competitive Transfer Pathways: Transfer Student Experiences in Health and IT Majors

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    The health care and information technology (IT) fields demand a more diverse set of qualified graduates who can appropriately fulfill the needs of the varied communities they serve. Currently, community colleges serve as stepping stones for diverse student populations and groups. When it comes to pursuing Health- or IT-related fields, community college students are often drawn to those majors with positive career placements and outcomes. Such majors include nursing, business, engineering, and education. However, at many colleges and universities, these majors are considered limited access, meaning that they have strict academic admissions criteria and accept only a limited number of students each year. This study seeks to understand community college student experiences and perceptions related to health or IT transfer pathway careers and success. We specifically examine Health and IT transfer pathways for students studying at a public community college in the Midwest (MidCC) to a large public research institution in the Midwest (MidU) and the faculty and staff working with these populations of students

    Manipulating Anger Does Not Affect Risky Decision Making

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    To date, multiple studies have examined the influence of negative mood on per­formance on behavioral decision-making tasks. Self-reported negative mood was inconsis­tently associated with subsequent decision making, and a similar inconsistent pattern was seen when negative mood was manipulated in the study session. The present study sought to examine how deliberately inducing a particular negative mood, anger, would affect risky decision making. College student participants reported their political beliefs, then were randomly assigned to one of several mood manipulation conditions (political anger, anger, sadness, fear, control) prior to completion of standard behavioral risky decision-making tasks including the Iowa Gambling Task, Game of Dice Task, Balloon Analogue Risk Task, and Columbia Card Task. Results indicated an increase in negative mood in the anger condition following the study manipulation, but only minimal effects of negative mood on risky decision making across tasks. Future assessments of mood and decision making should address multiple negative mood affects in addition to manipulation tech­niques in order to determine if a specific mood and/or manipulation is contributing to an individuals’ risky decision making

    Symmetric Biomechanically Guided Prone-to-Supine Breast Image Registration

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    Prone-to-supine breast image registration has potential application in the fields of surgical and radiotherapy planning, image guided interventions, and multi-modal cancer diagnosis, staging, and therapy response prediction. However, breast image registration of three dimensional images acquired in different patient positions is a challenging problem, due to large deformations induced to the soft breast tissue caused by the change in gravity loading. We present a symmetric, biomechanical simulation based registration framework which aligns the images in a central, virtually unloaded configuration. The breast tissue is modelled as a neo-Hookean material and gravity is considered as the main source of deformation in the original images. In addition to gravity, our framework successively applies image derived forces directly into the unloading simulation in place of a subsequent image registration step. This results in a biomechanically constrained deformation. Using a finite difference scheme avoids an explicit meshing step and enables simulations to be performed directly in the image space. The explicit time integration scheme allows the motion at the interface between chest and breast to be constrained along the chest wall. The feasibility and accuracy of the approach presented here was assessed by measuring the target registration error (TRE) using a numerical phantom with known ground truth deformations, nine clinical prone MRI and supine CT image pairs, one clinical prone-supine CT image pair and four prone-supine MRI image pairs. The registration reduced the mean TRE for the numerical phantom experiment from initially 19.3 to 0.9 mm and the combined mean TRE for all fourteen clinical data sets from 69.7 to 5.6 mm

    Preliminary Efficacy of a Stroke Caregiver Intervention Program for Reducing Depressive Symptoms

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    poster abstractBackground and Purpose: Stroke caregivers who lack skills because of unmet needs are at increased risk for depressive symptoms; which can impede rehabilitation of the survivor and increase the survivor’s risk for costly, long-term institutionalization. The Telephone Assessment and Skill-Building Kit (TASK) is an 8-week follow-up program based on individualized assessment of caregiver needs. The purpose of this study was to explore preliminary efficacy of the TASK program for improving stroke caregiver depressive symptoms. Methods: A subgroup of 15 caregivers who screened positive for mild to severe depressive symptoms at baseline (PHQ-9 > 5) were randomized to the TASK program (n=8) or an attention control group (n=7). Data were analyzed using Univariate ANCOVA, controlling for baseline scores and number of minutes spent with the nurse for each timepoint (4, 8, and 12 weeks after baseline). Partial ƞ2 was used to estimate effect sizes (.25 large). Results: Although not statistically significant because of the small sample size, medium to large improvements based on effect sizes were found in depressive symptoms for the TASK group relative to the control group at 4 weeks [F(1,11) = 4.15, p=.07, ƞ2=.27], 8 weeks [F(1,11) = 1.66, p=.22, ƞ2=.13], and 12 weeks after baseline [F(1,11) = 1.47, p=.25, ƞ2 =.12]. Adjusted PHQ-9 means for the TASK group at 4, 8, and 12 weeks ranged from 4.9 to 5.9; adjusted PHQ-9 means for the control group at 4, 8, and 12 weeks ranged from 9.0 to 10.8. Conclusions: Caregivers in the TASK group reduced their depressive symptoms to the mild range, while caregivers in the control group maintained their scores primarily in the moderately depressed range. Further testing of the TASK program in a larger randomized controlled clinical trial is warranted and is currently underway

    Cognitive chicken or the emotional egg? How reconceptualizing decision-making by integrating cognition and emotion can improve task psychometrics and clinical utility

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    Decision-making is an executive function, tapping into cognitive, emotional, and personality-based components. This complexity, and the varying operational definitions of the construct, is reflected in the rich array of behavioral decision-making tasks available for use in research and clinical settings. In many cases, these tasks are “subfield-specific,” with tasks developed by cognitive psychologists focusing on cognitive aspects of decision-making and tasks developed by clinical psychologists focusing on interactions between emotional and cognitive aspects. Critically, performance across different tasks does not consistently correlate, obfuscating the ability to compare scores between measures and detect changes over time. Differing theories as to what cognitive and/or emotional aspects affect decision-making likely contribute to this lack of consistency across measures. The low criterion-related validity among decision-making tasks and lack of consistent measurement of the construct presents challenges for emotion and decision-making scholars. In this perspective, we provide several recommendations for the field: (a) assess decision-making as a specific cognitive ability versus a taxonomy of cognitive abilities; (b) a renewed focus on convergent validity across tasks; (c) further assessment of test–retest reliability versus practice effects on tasks; and (d) reimagine future decision-making research to consider the research versus clinical implications. We discuss one example of decision-making research applied to clinical settings, acquired brain injury recovery, to demonstrate how some of these concerns and recommendations can affect the ability to track changes in decision-making across time

    Conformity Motives For Alcohol Use Are Associated With Risky Sexual Behavior Among Alcohol-Dependent Patients In Residential Substance Abuse Treatment

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    Alcohol misuse is associated with a variety of negative outcomes, including risky sexual behavior (RSB). In an attempt to better identify the subset of individuals at greatest risk for these negative outcomes, a growing body of research has begun to examine the role of alcohol use motives in risk for alcohol use-related negative outcomes. Although the majority of research in this area has focused on coping motives, conformity motives may be particularly relevant to outcomes such as RSB. Specifically, conformity motives may operate as a proxy risk factor for RSB, reflecting the tendency to engage in interpersonally-oriented risk behaviors in order to avoid rejection, interpersonal conflict, or social ostracism. Therefore, the current study examined the relation between conformity motives for alcohol use and RSB in a sample of 94 patients in a residential substance abuse treatment center. Results indicated that conformity motives were associated with RSB above and beyond other motives for alcohol use, as well as relevant covariates. Findings support the notion that conformity motives may operate as a proxy risk factor that could assist in identifying individuals at elevated risk for engaging in RSB
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