1,050 research outputs found

    Prime diagnosticity in short-term repetition priming: Is primed evidence discounted, even when it reliably indicates the correct answer?

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    The authors conducted 4 repetition priming experiments that manipulated prime duration and prime diagnosticity in a visual forced-choice perceptual identification task. The strength and direction of prime diagnosticity produced marked effects on identification accuracy, but those effects were resistant to subsequent changes of diagnosticity. Participants learned to associate different diagnosticities with primes of different durations but not with primes presented in different colors. Regardless of prime diagnosticity, preference for a primed alternative covaried negatively with prime duration, suggesting that even for diagnostic primes, evidence discounting remains an important factor. A computational model, with the assumption that adaptation to the statistics of the experiment modulates the level of evidence discounting, accounted for these results

    Confusion and Compensation in Visual Perception: Effects of Spatiotemporal Proximity and Selective Attention

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    The authors investigated spatial, temporal, and attentional manipulations in a short-term repetition priming paradigm. Brief primes produced a strong preference to choose the primed alternative, whereas long primes had the opposite effect. However, a 2nd brief presentation of a long prime produced a preference for the primed word despite the long total prime duration. These surprising results are explained by a computational model that posits the offsetting components of source confusion (prime features are confused with target features) and discounting (evidence from primed features is discounted). The authors obtained compelling evidence for these components by showing how they can cooperate or compete through different manipulations of prime salience. The model allows for dissociations between prime salience and the magnitude of priming, thereby providing a unified account of "subliminal" and "supraliminal" priming

    Advances in machine learning applications for cardiovascular 4D flow MRI

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    Four-dimensional flow magnetic resonance imaging (MRI) has evolved as a non-invasive imaging technique to visualize and quantify blood flow in the heart and vessels. Hemodynamic parameters derived from 4D flow MRI, such as net flow and peak velocities, but also kinetic energy, turbulent kinetic energy, viscous energy loss, and wall shear stress have shown to be of diagnostic relevance for cardiovascular diseases. 4D flow MRI, however, has several limitations. Its long acquisition times and its limited spatio-temporal resolutions lead to inaccuracies in velocity measurements in small and low-flow vessels and near the vessel wall. Additionally, 4D flow MRI requires long post-processing times, since inaccuracies due to the measurement process need to be corrected for and parameter quantification requires 2D and 3D contour drawing. Several machine learning (ML) techniques have been proposed to overcome these limitations. Existing scan acceleration methods have been extended using ML for image reconstruction and ML based super-resolution methods have been used to assimilate high-resolution computational fluid dynamic simulations and 4D flow MRI, which leads to more realistic velocity results. ML efforts have also focused on the automation of other post-processing steps, by learning phase corrections and anti-aliasing. To automate contour drawing and 3D segmentation, networks such as the U-Net have been widely applied. This review summarizes the latest ML advances in 4D flow MRI with a focus on technical aspects and applications. It is divided into the current status of fast and accurate 4D flow MRI data generation, ML based post-processing tools for phase correction and vessel delineation and the statistical evaluation of blood flow

    Treatment of Knee Dislocation With Primary Repair and Suture Augmentation: A Viable Solution.

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    BACKGROUND Different surgical techniques have been described for the treatment of knee dislocation (KD). Nonoperative approaches are frequently combined with surgical reconstruction using auto- or allograft. PURPOSE To evaluate the midterm results of primary surgical repair and suture augmentation to treat KD. STUDY DESIGN Case series; Level of evidence, 4. METHODS A total of 22 patients (5 women, 17 men; mean age, 45 ± 15 years) with KD were evaluated at a mean of 49 ± 16 months after surgical treatment that included primary repair and suture augmentation. Magnetic resonance imaging, stress radiographs, and outcome scores were obtained at the follow-up. Clinical examination including hop tests and force measurements for flexion and extension was performed. RESULTS The mean difference in pre- to postinjury Tegner scores was -2 ± 1. The outcome scores showed mean values of 84 ± 15 (Lysholm), 73 ± 15 (International Knee Documentation Committee) and 65 ± 25 (Anterior Cruciate Ligament-Return to Sport after Injury scale). Compared with the uninjured knee, the range of motion of the injured knee was reduced by 21° ± 12°. Twelve patients felt fit enough to perform hop tests and showed a mean deficit of 7% ± 17%° compared with the uninjured leg. The mean force deficit was 19% ± 18% for extension and 8% ± 16% for flexion. Stress radiographs revealed an 11 ± 7-mm higher anteroposterior translation on the injured side. Four patients had secondary ligament reconstructions due to persistent instability and 7 underwent arthroscopic arthrolysis due to stiffness. A significant increase of osteoarthritis was found for the medial, lateral, and patellofemoral compartments (P = .007, .004, and .006, respectively). CONCLUSION Primary repair and suture augmentation of KD led to satisfactory clinical midterm results despite persistent radiological instability and a significant increase in osteoarthritis. This technique allows the return to activities of daily living without subjective instability in most nonathletic patients. Secondary ligament reconstructions should be performed if relevant instability persists to decrease the risk of secondary meniscal and cartilage damage

    International medical students’ expectations and worries at the beginning of their medical education: a qualitative focus group study

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    Background: The number of international students has increased substantially within the last decade. Due to cultural barriers, this specific group faces diverse challenges. In comparison to German colleagues, international medical students perform significantly lower in clinical examinations and exceed the average duration of study; they suffer from personal distress as well as insufficient support. Within the present study, their individual perspectives, expectations, hopes and fears were examined. Methods: Four focus groups with first-year international medical students (N = 16) were conducted in October 2013. Each 60- to 90-min discussion was audiotaped, transcribed and analysed using qualitative methods. Results: International medical students go abroad in search of good study-conditions. For the choice of place of study, affordability, social ties as well as an educational system following the achievement principle are decisive factors. While contact with German-students and other international students is seen as beneficial, international medical students are most concerned to encounter problems and social exclusion due to language deficits and intercultural differences. Conclusions: Facilitating the access to university places, the provision of financial aid and, moreover, social support, nurturing cultural integration, would greatly benefit international medical students. Hereby, the establishment of specific medical language courses as well as programs fostering intercultural-relations could prove to be valuable

    Mortality Risk for Acute Cholangitis (MAC): a risk prediction model for in-hospital mortality in patients with acute cholangitis

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    Background: Acute cholangitis is a life-threatening bacterial infection of the biliary tract. Main focus of this study was to create a useful risk prediction model that helps physicians to assign patients with acute cholangitis into different management groups. Methods: 981 cholangitis episodes from 810 patients were analysed retrospectively at a German tertiary center. Results: Out of eleven investigated statistical models fit to 22 predictors, the Random Forest model achieved the best (cross-) validated performance to predict mortality. The receiver operating characteristics (ROC) curve revealed a mean area under the curve (AUC) of 91.5 %. Dependent on the calculated mortality risk, we propose to stratify patients with acute cholangitis into a high and low risk group. The mean sensitivity, specificity, positive and negative predictive value of the corresponding optimal cutpoint were 82.9 %, 85.1 %, 19.0 % and 99.3 %, respectively. All of these results emerge from nested (cross-) validation and are supposed to reflect the model's performance expected for external data. An implementation of our risk prediction model including the specific treatment recommendations adopted from the Tokyo guidelines is available on http://www2.imse.med.tum.de:3838/. Conclusion: Our risk prediction model for mortality appears promising to stratify patients with acute cholangitis into different management groups. Additional validation of its performance should be provided by further prospective trails

    Geriatrische Assessments und Diagnostik beim Àlteren Patienten

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    As is the case with younger patients, the treatment decisions for elderly patients with thoracic tumours are primarily based on the results of the usual routine diagnostics. Standardised assessments of existing comorbidities and geriatric assessments may provide information which are of particular relevance for intensive and/or complex therapy modalities and which may require early corresponding intervention or measures for support

    Farmer groups for animal health and welfare planning in European organic dairy herds

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    A set of common principles for active animal health and welfare planning in organic dairy farming has been developed in the ANIPLAN project group of seven European countries. Health and welfare planning is a farmer‐owned process of continuous development and improvement and may be practised in many different ways. It should incorporate health promotion and disease handling, based on a strategy where assessment of current status and risks forms the basis for evaluation, action and review. Besides this, it should be 1) farm-specific, 2) involve external person(s) and 3) external knowledge, 4) be based on organic principles, 5) be written, and 6) acknowledge good aspects in addition to targeting the problem areas in order to stimulate the learning process. Establishing farmer groups seems to be a beneficial way of stimulating a dynamic development on the farms towards continuous improvement, as in this case with focus on animal health and welfare planning. Various factors influence the process in different contexts, e.g. geographical, cultural, traditional factors, and a proper analysis of the situation as well as the purpose of the group is necessary, and can relevantly be negotiated and co‐developed with farmers as well as facilitators before being implemented. Farmer groups based on farmer‐to‐farmer advice and co‐development need a facilitator who takes on the role of facilitating the process and ‘decodes’ him‐ or herself from being ‘expert’

    Acupuncture in chemotherapy-induced dysgeusia (AcuDysg): study protocol of a randomised controlled trial

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    Introduction: Dysgeusia is a common side effect of chemotherapy in patients with cancer, but to date, there is no effective treatment. Many patients with cancer request complementary medicine treatment in addition to their cancer treatments, and acupuncture is highly accepted for patients with cancer; however, evidence regarding the effectiveness of acupuncture for dysgeusia is scarce.The study investigates the effectiveness of an additional dysgeusia-specific acupuncture plus self-acupressure intervention compared with supportive acupuncture plus self-acupressure intervention alone for chemotherapy-induced dysgeusia in patients with cancer. Methods and analysis: This is a multicentre, randomised, controlled and two-armed parallel-group, single-blind trial involving 130 patients. Both groups will receive eight sessions of acupuncture treatment over a period of 8 weeks and will be trained to perform self-acupressure (eLearning combined with therapist instruction) at predefined acupressure points once a day during the whole treatment period. Patients in the control group will receive supportive routine care acupuncture and self-acupressure treatment only; in addition to this treatment, the intervention group will receive the dysgeusia-specific acupuncture and acupressure within the same treatment session. The primary outcome is the perceived dysgeusia over 8 weeks, measured weekly after the acupuncture treatment. Secondary outcomes include the indices from the objective taste and smell test, weight loss, perceived dysgeusia, fatigue, distress, nausea and vomiting, odynophagia, xerostomia and polyneuropathy, as well as quality of life at the different time points. Ethics and dissemination: The study has been approved by the Cantonal Ethics Committee (CEC) (Kanton ZĂŒrich Kantonale Ethikkommission) (approval no. KEK-ZH-Nr. 2020-01900). The results will be submitted to a peer-reviewed journal for publication
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