962 resultados para Multimodal översättningsanalys


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The primary goal of this dissertation is to develop point-based rigid and non-rigid image registration methods that have better accuracy than existing methods. We first present point-based PoIRe, which provides the framework for point-based global rigid registrations. It allows a choice of different search strategies including (a) branch-and-bound, (b) probabilistic hill-climbing, and (c) a novel hybrid method that takes advantage of the best characteristics of the other two methods. We use a robust similarity measure that is insensitive to noise, which is often introduced during feature extraction. We show the robustness of PoIRe using it to register images obtained with an electronic portal imaging device (EPID), which have large amounts of scatter and low contrast. To evaluate PoIRe we used (a) simulated images and (b) images with fiducial markers; PoIRe was extensively tested with 2D EPID images and images generated by 3D Computer Tomography (CT) and Magnetic Resonance (MR) images. PoIRe was also evaluated using benchmark data sets from the blind retrospective evaluation project (RIRE). We show that PoIRe is better than existing methods such as Iterative Closest Point (ICP) and methods based on mutual information. We also present a novel point-based local non-rigid shape registration algorithm. We extend the robust similarity measure used in PoIRe to non-rigid registrations adapting it to a free form deformation (FFD) model and making it robust to local minima, which is a drawback common to existing non-rigid point-based methods. For non-rigid registrations we show that it performs better than existing methods and that is less sensitive to starting conditions. We test our non-rigid registration method using available benchmark data sets for shape registration. Finally, we also explore the extraction of features invariant to changes in perspective and illumination, and explore how they can help improve the accuracy of multi-modal registration. For multimodal registration of EPID-DRR images we present a method based on a local descriptor defined by a vector of complex responses to a circular Gabor filter.

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This doctoral dissertation proposes to analyze the discursive representations of Lula, as they appear on the covers of the magazines, Época and Veja, targeting the verbo visual elements that comprise the genre, magazine covers. In this way, we seek to describe and interpret the discursive representations (Drs), using a theoretical framework based on the Textual Discourse Analysis –TDA, developed by Jean Michel Adam (2011a), focusing on the semantic level of the text, that is, on the dimension that allows for the comprehension of Drs present in a text. For a discussion about the Drs and their categories of analysis referencing, predication, modification, relation and spatial localization and time we use as a starting point, the study by Brize about the logical discursive operations (1990, 1996), and continue through the studies that discuss linguistic, textual, and discursive operations in concrete utterances, such as Castilho (2010), Rodrigues; Passeggi; Silva Neto (2010), Neves (2011), Rodrigues et al. (2012), Passeggi (2001; 2012), Queiroz (2013), among others. In addition, we rely on Multimodal Discourse for the verbo visual aspects present on magazine covers (KRESS; van LEEUWEN, 2006; DIONISIO, 2011; DIONISIO; VASCONCELOS, 2013). Using aresearch approach that is qualitative with quantitative support, and which is documental, and based on deductive inductive methods, we describe and interpret a corpus (SEVERINO, 2007; CHIZZOTTI, 2010; OLIVEIRA, M., 2013), aiming to reconstruct Lula’s Drs. The cor pusis comprised of forty one magazine covers sixteen from Época and twenty four from Veja. The covers date from the election period in which the candidate, Lula, was elected President of Brazil in 2002, the last mandate after his reelection in 2006, and in the year 2010 a period of 9 years. Based on the analysis carried out, we can affirm that the magazines, Época and Veja, construct diverse Drs by Lula, such as: candidate; elected candidate; governing member and member of a political party; reelected president; politics; workers party acronym PT; international governments as allies; accomplices and participants in scandals of corruption; friend, brother, cousin, nephew, father, parent and man; among others that unfold throughout these by the mediation of the modifiers of the referents and processes, and by the very processes and connections, and analogies made on the object of discourse, Lula. Nonetheless, the reconstruction of these is derived from the description and interpretation of the textual linguistic and discursive choices that the magazines make to produce the proposition utterances, as well as by the choices of images and other visual resources, all operating as co(n)textually articulated to produce the magazine’s desired effect. In conclusion, the Drs verified demand the reflection, description and interpretation of the referencing, prediction, the relationship and spatial temporal localization, which was only possible through the textual discursive analysis of the verbo visual arrangements that comprise texts in the genre magazine cover.

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BACKGROUND: Among the wide range of skills displayed by a medical doctor is undoubtedly the need to use cohesive and well grounded clinical reasoning in order for medical care to be indeed effective. It is in this respect that conceptual maps emerge; these are a methodological innovation that allows a comprehensive, panoramic and associative outlook of theoretical content, making it more practical and applicable to the reality of clinical observation. Promoting learning, learning resources and a feedback system between professor and students, as well as assessing and monitoring the performance of students during their academic training, are the main features of this tool. OBJETIVE: Assess the use of conceptual maps as a teaching-learning tool in the training of undergraduate medical students at Universidade Federal do Rio Grande do Norte (UFRN). METHODOLOGY: Interventional, randomized, cross-sectional study conducted with students from the 3rd and 5th periods of the medical course at UFRN, during the second semester of 2014, totaling 86 participants, divided into two groups: GI (intervention – clinical case resolution with a conceptual map) and GII (control – clinical case resolution without a conceptual map) in each period. RESULTS: The use of conceptual maps to teach liver failure syndrome resulted in a statistically significant cognitive gain for G1 students from the 5th period (GI: 6.8±1.6 and 8.0±1.5, p = 0.024; GII: 7.2±2.1 and 8.0±1.7, p = 0.125, pre and post-intermediate means, respectively), a result not observed in the period 3rd (GI: 7.7±1.3 and 8.0±1.4, p = 0.501; GII: 6.7±1.8 and 7.8±1.8; p=0.068, pre and post-intermediate means, respectively). Students in the 3 rd period gave better responses to the first clinical case, with a larger number of suitable concepts and crosslinks, when they used conceptual maps (GI: 91.3±13.15 and GII: 64.84±22.84, p=0,002). Students in the 5th period exhibited better clinical reasoning and more complete responses using the tool (p=0,01). Most of the students were not aware of the tool (53.8% from the 3rd period and 65.3% from the 5th period). Among those who knew about conceptual maps, most (59.3%) had only used them during high school, 14.8% had never used them and only seven students (25.9%) used them during the medical course. Analysis of open responses, obtained in process assessment showed clear satisfaction and enthusiasm with learning about the new tool, and frequent suggestions to use it at other moments in the course. Assessment of learning profile, using the VARK questionnaire, showed that most students from both periods exhibited a multimodal style. CONCLUSION: Despite their scant knowledge regarding the tool, good acceptability and understanding was observed in the study participants. The conceptual maps allowed cognitive gains, better responses and clinical reasoning in teaching liver failure syndrome to 5th period students.

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Background: Persons in acute care settings who have indwelling urethral catheters are at higher risk of acquiring a urinary tract infection (UTI). Other complications related to prolonged indwelling urinary catheters include decreased mobility, damage to the meatus and/or urethra, increase use of antibiotics, increased length of stay, and pain. UTIs in acute care settings account for 30 to 40% of all health care associated infections (HAIs). Of these, 80% are catheter associated UTIs (CAUTIs). Purpose: To utilized the CDC (2009) bundle approach for CAUTI prevention and create a program which supports a multimodal method to improving urinary catheter use, maintenance, and removal, including a continuing competency program where role expansion is anticipated. Methods: A comprehensive review of the literature was conducted. Physicians were consulted through a power point presentation followed by a letter explaining the project, a questionnaire, and two selections of relevant literature. Nursing staff and allied health professionals from the target units of 3A and 3B medicine attended one of two lunch and learns. They were presented the project via a power point presentation and the same questionnaire as distributed to physicians. Results: Five e-learning modules, a revised policy, and clinical pathway have been developed to support staff with best practice knowledge transfer. Conclusion: Behaviour changes need to be approached with a framework, extensive consultation, and education. Sustainability of any practice change cannot occur without having completed the background work to ensure staff have access to tools to support the change.

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OBJECTIVE: The aim of this study was to compare the effectiveness of multimodal supervised physiotherapy programs with the absence of treatment among women with persistent postnatal stress urinary incontinence. METHODS: This was a single-blind randomized controlled trial. Sixty-four women with stress urinary incontinence were randomly assigned to 8 weeks of either multimodal pelvic floor rehabilitation (n = 21), multimodal pelvic floor rehabilitation with abdominal muscle training (n = 23), or control non–pelvic floor rehabilitation (n = 20). The primary outcome measure consisted of a modified 20-minute pad test. The secondary outcome measures included a Visual Analog Scale describing the perceived burden of incontinence, the Urogenital Distress Inventory, the Incontinence Impact Questionnaire, and pelvic floor muscle function measurements. RESULTS: Two patients dropped out, leaving 62 for analysis. At follow-up, more than 70% of the women in the treatment groups (14/20 in the pelvic floor and 17/23 in the pelvic floor plus abdominal group) were continent on pad testing compared with 0% of women in the control group. Scores on the pad test, Visual Analog Scale, Urogenital Distress Inventory, and Incontinence Impact Questionnaire improved significantly in both treatment groups (all P < .002), whereas no changes were observed in the control group. Pelvic floor muscle function, however, did not improve significantly in either active group. CONCLUSION: Multimodal supervised pelvic floor physiotherapy is an effective treatment for persistent postnatal stress urinary incontinence.

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Optical coherence tomography (OCT) is a noninvasive three-dimensional interferometric imaging technique capable of achieving micrometer scale resolution. It is now a standard of care in ophthalmology, where it is used to improve the accuracy of early diagnosis, to better understand the source of pathophysiology, and to monitor disease progression and response to therapy. In particular, retinal imaging has been the most prevalent clinical application of OCT, but researchers and companies alike are developing OCT systems for cardiology, dermatology, dentistry, and many other medical and industrial applications.

Adaptive optics (AO) is a technique used to reduce monochromatic aberrations in optical instruments. It is used in astronomical telescopes, laser communications, high-power lasers, retinal imaging, optical fabrication and microscopy to improve system performance. Scanning laser ophthalmoscopy (SLO) is a noninvasive confocal imaging technique that produces high contrast two-dimensional retinal images. AO is combined with SLO (AOSLO) to compensate for the wavefront distortions caused by the optics of the eye, providing the ability to visualize the living retina with cellular resolution. AOSLO has shown great promise to advance the understanding of the etiology of retinal diseases on a cellular level.

Broadly, we endeavor to enhance the vision outcome of ophthalmic patients through improved diagnostics and personalized therapy. Toward this end, the objective of the work presented herein was the development of advanced techniques for increasing the imaging speed, reducing the form factor, and broadening the versatility of OCT and AOSLO. Despite our focus on applications in ophthalmology, the techniques developed could be applied to other medical and industrial applications. In this dissertation, a technique to quadruple the imaging speed of OCT was developed. This technique was demonstrated by imaging the retinas of healthy human subjects. A handheld, dual depth OCT system was developed. This system enabled sequential imaging of the anterior segment and retina of human eyes. Finally, handheld SLO/OCT systems were developed, culminating in the design of a handheld AOSLO system. This system has the potential to provide cellular level imaging of the human retina, resolving even the most densely packed foveal cones.

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Bayesian methods offer a flexible and convenient probabilistic learning framework to extract interpretable knowledge from complex and structured data. Such methods can characterize dependencies among multiple levels of hidden variables and share statistical strength across heterogeneous sources. In the first part of this dissertation, we develop two dependent variational inference methods for full posterior approximation in non-conjugate Bayesian models through hierarchical mixture- and copula-based variational proposals, respectively. The proposed methods move beyond the widely used factorized approximation to the posterior and provide generic applicability to a broad class of probabilistic models with minimal model-specific derivations. In the second part of this dissertation, we design probabilistic graphical models to accommodate multimodal data, describe dynamical behaviors and account for task heterogeneity. In particular, the sparse latent factor model is able to reveal common low-dimensional structures from high-dimensional data. We demonstrate the effectiveness of the proposed statistical learning methods on both synthetic and real-world data.

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BACKGROUND: The unimodal approach of using pentazocine as post-cesarean section pain relief is inadequate, hence the need for a safer, easily available and more effective multimodal approach. AIM: To evaluate the effectiveness of rectal diclofenac combined with intramuscular pentazocine for postoperative pain following cesarean section. METHODS: In this double blind clinical trial, 130 pregnant women scheduled for cesarean section under spinal anesthesia were randomly assigned to two groups. Group A received 100mg diclofenac suppository and group B received placebo suppository immediately following surgery, 12 and 24h later. Both groups also received intramuscular pentazocine 30mg immediately following surgery and 6 hourly postoperatively in the first 24 h. Postoperative pain was assessed by visual analogue scale at end of surgery and 2, 12 and 24 h after surgery. Patient satisfaction scores were also assessed. RESULTS: One hundred and sixteen patients completed the study. Combining diclofenac and pentazocine had statistically significant reduction in pain intensity at 2, 12, and 24 hours postoperatively compared to pentazocine alone (p <0.05). No significant side effects were noted in both groups. The combined group also had significantly better patient satisfaction scores. CONCLUSION: The addition of diclofenac suppository to intramuscular pentazocine provides better pain relief after cesarean section and increased patient satisfaction.

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Ellipticine is a natural product which possesses multimodal anti-cancer activity. This thesis encompasses the synthesis and biological evaluation of novel ellipticine and isoellipticine derivatives as anti-cancer agents. Expanding on previous work within the group utilising vinylmagnesium bromide, derivatisation of the C5 position of ellipticine was accomplished by reaction of a key ketolactam intermediate with Grignard reagents. Corresponding attempts to introduce diverse substitution at the C11 position were unsuccessful, although one novel C11 derivative was produced using an alkyllithium reagent. A panel of novel ellipticinium salts encompassing a range of substitutions at the N2, C9 and N6 positions were prepared. Extensive derivatisation of the N10 position of isoellipticine was undertaken for the first time. Novel substitution in the form of acid and methyl ester functionalities were introduced at the C7 position of isoellipticine while novel C7 aldehyde and alcohol derivatives were synthesised. A large panel of isoellipticinium salts were prepared with conditions adjusted for the reactivity of the alkyl halide. Novel coupling reactions to increase the yield of isoellipticine were attempted but proved unsuccessful. A panel of 54 novel derivatives was prepared and a multimodal analysis of their anti-cancer activity was conducted. The NCI 60-human tumour cell lines screen was a primary source of information on the in vitro activity of compounds with derivatives found to exert potent anticancer effects, with mean GI50 values as low as 1.01 μM across the full range of cancer types and as low as 16 nM in individual cell lines. A second in vitro screen in collaboration with researchers in the University of Nantes identified derivatives which could potently inhibit growth in a p53 mutant NSCLC cell line. The cell cycle effects of a selected panel of isoellipticines were studied in leukaemia cell lines by researchers in the Department of Biochemistry and Cell Biology, UCC. Emerging from this, the therapeutic potential of one of the derivatives in AML was then assessed in vivo in an AML xenograft mouse model, with tumour weight reduced by a factor of 7 in treated mice relative to control.

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OBJECTIVE: The aim of this study was to compare the effectiveness of multimodal supervised physiotherapy programs with the absence of treatment among women with persistent postnatal stress urinary incontinence. METHODS: This was a single-blind randomized controlled trial. Sixty-four women with stress urinary incontinence were randomly assigned to 8 weeks of either multimodal pelvic floor rehabilitation (n = 21), multimodal pelvic floor rehabilitation with abdominal muscle training (n = 23), or control non–pelvic floor rehabilitation (n = 20). The primary outcome measure consisted of a modified 20-minute pad test. The secondary outcome measures included a Visual Analog Scale describing the perceived burden of incontinence, the Urogenital Distress Inventory, the Incontinence Impact Questionnaire, and pelvic floor muscle function measurements. RESULTS: Two patients dropped out, leaving 62 for analysis. At follow-up, more than 70% of the women in the treatment groups (14/20 in the pelvic floor and 17/23 in the pelvic floor plus abdominal group) were continent on pad testing compared with 0% of women in the control group. Scores on the pad test, Visual Analog Scale, Urogenital Distress Inventory, and Incontinence Impact Questionnaire improved significantly in both treatment groups (all P < .002), whereas no changes were observed in the control group. Pelvic floor muscle function, however, did not improve significantly in either active group. CONCLUSION: Multimodal supervised pelvic floor physiotherapy is an effective treatment for persistent postnatal stress urinary incontinence.

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The emerging technologies have expanded a new dimension of self – ‘technoself’ driven by socio-technical innovations and taken an important step forward in pervasive learning. Technology Enhanced Learning (TEL) research has increasingly focused on emergent technologies such as Augmented Reality (AR) for augmented learning, mobile learning, and game-based learning in order to improve self-motivation and self-engagement of the learners in enriched multimodal learning environments. These researches take advantage of technological innovations in hardware and software across different platforms and devices including tablets, phoneblets and even game consoles and their increasing popularity for pervasive learning with the significant development of personalization processes which place the student at the center of the learning process. In particular, augmented reality (AR) research has matured to a level to facilitate augmented learning, which is defined as an on-demand learning technique where the learning environment adapts to the needs and inputs from learners. In this paper we firstly study the role of Technology Acceptance Model (TAM) which is one of the most influential theories applied in TEL on how learners come to accept and use a new technology. Then we present the design methodology of the technoself approach for pervasive learning and introduce technoself enhanced learning as a novel pedagogical model to improve student engagement by shaping personal learning focus and setting. Furthermore we describe the design and development of an AR-based interactive digital interpretation system for augmented learning and discuss key features. By incorporating mobiles, game simulation, voice recognition, and multimodal interaction through Augmented Reality, the learning contents can be geared toward learner's needs and learners can stimulate discovery and gain greater understanding. The system demonstrates that Augmented Reality can provide rich contextual learning environment and contents tailored for individuals. Augment learning via AR can bridge this gap between the theoretical learning and practical learning, and focus on how the real and virtual can be combined together to fulfill different learning objectives, requirements, and even environments. Finally, we validate and evaluate the AR-based technoself enhanced learning approach to enhancing the student motivation and engagement in the learning process through experimental learning practices. It shows that Augmented Reality is well aligned with constructive learning strategies, as learners can control their own learning and manipulate objects that are not real in augmented environment to derive and acquire understanding and knowledge in a broad diversity of learning practices including constructive activities and analytical activities.

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This paper investigates the extent to which the negative evaluation of one of the women Ministers in the Northern Ireland Assembly can be attributed to gender. Interviews with politicians as well as the Minister herself illuminate this discussion by identifying the ‘gendered discourses’ that are drawn upon when describing the Minister’s communicative style in debates. Close analyses of transcripts of debates offer a description of some elements of this style, and find that while the Minister is confrontational in debates and ‘stands her ground’, she does not take part in illegal interventions that disrupt the debate floor and are characteristic of the Assembly as a whole. Although the construction of the Minister’s unpopularity can be attributed to a complex interplay of factors, it can be concluded that it is partly the way she draws on gendered linguistic resources that leads her to be negatively judged by her peers.

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Full paper presented at EC-TEL 2016

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This paper describes a substantial effort to build a real-time interactive multimodal dialogue system with a focus on emotional and non-verbal interaction capabilities. The work is motivated by the aim to provide technology with competences in perceiving and producing the emotional and non-verbal behaviours required to sustain a conversational dialogue. We present the Sensitive Artificial Listener (SAL) scenario as a setting which seems particularly suited for the study of emotional and non-verbal behaviour, since it requires only very limited verbal understanding on the part of the machine. This scenario allows us to concentrate on non-verbal capabilities without having to address at the same time the challenges of spoken language understanding, task modeling etc. We first summarise three prototype versions of the SAL scenario, in which the behaviour of the Sensitive Artificial Listener characters was determined by a human operator. These prototypes served the purpose of verifying the effectiveness of the SAL scenario and allowed us to collect data required for building system components for analysing and synthesising the respective behaviours. We then describe the fully autonomous integrated real-time system we created, which combines incremental analysis of user behaviour, dialogue management, and synthesis of speaker and listener behaviour of a SAL character displayed as a virtual agent. We discuss principles that should underlie the evaluation of SAL-type systems. Since the system is designed for modularity and reuse, and since it is publicly available, the SAL system has potential as a joint research tool in the affective computing research community.

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Situational awareness is achieved naturally by the human senses of sight and hearing in combination. Automatic scene understanding aims at replicating this human ability using microphones and cameras in cooperation. In this paper, audio and video signals are fused and integrated at different levels of semantic abstractions. We detect and track a speaker who is relatively unconstrained, i.e., free to move indoors within an area larger than the comparable reported work, which is usually limited to round table meetings. The system is relatively simple: consisting of just 4 microphone pairs and a single camera. Results show that the overall multimodal tracker is more reliable than single modality systems, tolerating large occlusions and cross-talk. System evaluation is performed on both single and multi-modality tracking. The performance improvement given by the audio–video integration and fusion is quantified in terms of tracking precision and accuracy as well as speaker diarisation error rate and precision–recall (recognition). Improvements vs. the closest works are evaluated: 56% sound source localisation computational cost over an audio only system, 8% speaker diarisation error rate over an audio only speaker recognition unit and 36% on the precision–recall metric over an audio–video dominant speaker recognition method.