441 research outputs found

    Generation of two-photon EPR and Wstates

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    In this paper we present a scheme for generation of two-photon EPR and W states in the cavity QED context. The scheme requires only one three-level Rydberg atom and two or three cavities. The atom is sent to interact with cavities previously prepared in vacuum states, via two-photon process. An appropriate choice of the interaction times one obtains the mentioned state with maximized fidelities. These specific times and the values of success probability and fidelity are discussed.Comment: 4 pages, 5 figure

    A Voting-Based System for Ethical Decision Making

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    We present a general approach to automating ethical decisions, drawing on machine learning and computational social choice. In a nutshell, we propose to learn a model of societal preferences, and, when faced with a specific ethical dilemma at runtime, efficiently aggregate those preferences to identify a desirable choice. We provide a concrete algorithm that instantiates our approach; some of its crucial steps are informed by a new theory of swap-dominance efficient voting rules. Finally, we implement and evaluate a system for ethical decision making in the autonomous vehicle domain, using preference data collected from 1.3 million people through the Moral Machine website.Comment: 25 pages; paper has been reorganized, related work and discussion sections have been expande

    Grocery Shopping Assistant Using OpenCV

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    In this paper we present an android mobile application that allows user to keep track of food products and grocery items bought during each grocery shopping along with its nutrient information. This application allows user to get nutrient information of products and grocery by just taking a photo. Product matching is performed using SURF feature detection followed by FLANN feature matching. We extract the table from the nutrient fact table image using concepts of erosion, dilation and contour detection. Classifying the grocery is done using Object Categorization through the concepts of Bag of Words (BOW) and SVM machine learning. This application includes three main subsystems: client (Android), server (Node.js) and image processing (OpenCV)

    A study to evaluate the immediate effect of proprioceptive neuromuscular facilitation versus active dynamic stretching during warm-up on 20-meter sprint in amateur soccer players

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    Background: Soccer is a highly popular sport and is played worldwide. It is an explosive sport and has a high incidence of injuries. In soccer, sprinting dominates the majority of the game, and it imposes a demand on players to have strong, flexible, and dynamic lower limbs. Amateur soccer players don’t usually practice warm-ups before their matches; hence, an appropriate warm-up protocol is required that can be incorporated into the training routine of players to avoid injuries and improve performance. The current study aims to evaluate and compare the immediate effect of PNF stretching versus active dynamic stretching during warm-up on 20-meter sprint performance in amateur soccer players. Methods: According to the inclusion criteria, 80 amateur soccer players participated in this cross-sectional study design. They were randomly distributed into 2 groups: A) PNF stretching (N = 40) and B) active dynamic stretching (N = 40). Participants in both groups performed the 20-meter sprint test initially, followed by their respective warm-up intervention, after which the 20-meter sprint test was repeated and new readings were recorded. Results: Both Group A and Group B showed improved performance; however, Group B was significantly better. (p value<0.05). Conclusions: This study therefore concludes that both PNF and active dynamic stretching can be used as a warm-up protocol. However, according to the inter-group comparison, active dynamic stretching shows a noteworthy improvement in 20-m sprint performance in amateur soccer players

    Dietary patterns and risk of inflammatory bowel disease in Europe: Results from the EPIC study

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    Background: Dairy products may be involved in the etiology of inflammatory bowel disease by modulating gut microbiota and immune responses, but data from epidemiological studies examining this relationship are limited. We investigated the association between prediagnostic intake of these foods and dietary calcium and the subsequent development of Crohn’s disease (CD) and ulcerative colitis (UC). Methods: In total, 401,326 participants were enrolled in the European Prospective Investigation into Cancer and Nutrition cohort. At recruitment, consumption of total and specific dairy products (milk, yogurt, cheese) and dietary calcium was measured using validated food frequency questionnaires. Cases developing incident CD (n=110) or UC (n=244) during followup were matched with four controls. Conditional logistic regression analyses were used to calculate odds ratios (ORs) with 95% confidence intervals (CIs), adjusted for total energy intake and smoking. Results: Compared with the lowest quartile, the ORs for the highest quartile of total dairy products and dietary calcium intake were 0.61 (95% CI 0.32-1.19, p trend=0.19) and 0.63 (95% CI 0.28-1.42, p trend=0.23) for CD and 0.80 (95% CI 0.50-1.30, p trend=0.40) and 0.81 (95% CI 0.49-1.34, p trend=0.60) for UC. Compared with nonconsumers, individuals consuming milk had significantly reduced odds of CD (OR 0.30, 95% CI 0.13-0.65) and nonsignificantly reduced odds of UC (OR 0.85, 95% CI 0.49-1.47). Conclusions: Milk consumption may be associated with a decreased risk of developing CD, although a clear dose-response relationship was not established. Further studies are warranted to confirm this possible protective effect

    Review of Fluorescence Guided Surgery Visualization and Overlay Techniques

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    In fluorescence guided surgery, data visualization represents a critical step between signal capture and display needed for clinical decisions informed by that signal. The diversity of methods for displaying surgical images are reviewed, and a particular focus is placed on electronically detected and visualized signals, as required for near-infrared or low concentration tracers. Factors driving the choices such as human perception, the need for rapid decision making in a surgical environment, and biases induced by display choices are outlined. Five practical suggestions are outlined for optimal display orientation, color map, transparency/alpha function, dynamic range compression, and color perception check

    Advocate to support training of healthcare workers who work with refugees on utilizing culturally congruent care when assessing for grief

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    Objective: This project aims to equip healthcare workers with essential skills and knowledge to recognize, understand, and effectively address grief within various cultural contexts. By filling the existing gaps in care, this training will enable healthcare providers to engage with patients in ways that honor their cultural traditions and beliefs surrounding loss and mourning. Relevance: Recognizing and addressing trauma and loss among refugees is crucial for improving their overall mental health and well-being. Many refugees face significant challenges when adjusting to new environments, so fostering trust in healthcare systems becomes vital. Thus, we aim to create an environment where refugee populations feel understood and supported, ultimately encouraging them to seek necessary medical care. Impact: By integrating culturally informed care practices into grief management, this initiative is expected to enhance patient outcomes significantly. Improving communication and understanding between healthcare providers for refugee patients will reduce health disparities and foster a sense of healing within refugee communities. As healthcare workers become more adept at providing culturally congruent support, they will contribute to building more robust, more resilient populations better equipped to cope with grief and loss
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