5,504 research outputs found
A variational approach to blending based on warping for non-overlapped images
This paper presents a new model for image blending based on warping. The model is represented by partial differential equations (PDEs) and gives a sequence of images, which has the properties of both blending of image intensities and warping of image shapes. We modified the energy functional in [W.-H. Liao, A. Khuu, M. Bergsneider, L. Vese, S.-C. Huang, S. Osher, From Landmark Matching to Shape and Open Curve Matching: A Level Set Approach, Computational and Applied Mathematics (CAM) Technical Reports 02-59, UCLA, 2002.] in order to adapt the idea of the shape warping to the image blending. The PDEs from the proposed energy functional cover not only overlapped images but also non-overlapped ones. (c) 2006 Elsevier Inc. All rights reserved.This work was partially supported by KRF-2002-070-C00004 and KOSEF R01-2000-00008. The first author was supported in part by IMA
with funds provided by NSF
Semiometrics: producing a compositional view of influence
High-impact academic papers are not necessarily the most cited. For example, Einstein's 'Special Relativity' paper from 1905 received (and continues to receive) fewer citations from other papers than his 'Brownian Motion" paper of the same year, despite the former radically changing the course of an entire scientific discipline to a much greater extent. Similarly, 'impact' metrics using citation count alone are, it is argued, not adequate for determining the scientific influence of papers, authors or small groups of authors. Although valid, they remain controversial when used to determine influence of larger groups or journals. While the term 'impact' has become closely linked to a journal's citation-based Journal Impact Factor score, this thesis uses the term 'influence' to describe the wider effectiveness of research, combining citation and metadata analysis to allow richer calculations to be performed over large-scale document networks. As a result, more qualitative influence ratings can be determined and a broader outlook on scientific disciplines can be produced. These ratings are best applied using an ontology-based data source, allowing more efficient inference than under a traditional RDBMS system, and allowing easier integration between heterogeneous data sources. These metrics, termed 'Semantic Bibliometrics' or 'Semiometrics', can be applied at a variety of levels of granularity, allowing a compositional framework for impact and influence analysis. This thesis describes the process of data preparation, systems architecture, metric value and data integration for such a system, introducing novel approaches at all four stages, thereby creating a working semiometrics system for determining influence at different semantic levels of granularity
Multimedia informed consent tool for a low literacy African research population: development and pilot-testing
Public confidence in the police: a time-series analysis
Empirical analyses of the causes of public confidence in policing have been based almost entirely on cross-sectional survey data, with a consequent focus on between-group differences in levels of confidence at a single point in time. Our aim here is to introduce a time dimension to this area of investigation. Employing repeated cross-sectional survey data from the British Crime Survey, we apply time-series regression methods to show how confidence in policing changes over time for the aggregate population. Counter to cross-sectional findings, time series analyses reveal that confidence in the police is not related to aggregate worry about crime and perceptions of social cohesion, nor informal social control, but only to perceptions of crime and the property crime rate
The real option with an absorbing barrier.
Ce papier analyse l'option réelle avec barrière inférieure. C'est le modèle d'un investissement irréversible soumis au risque de perdre l'option d'investir si on attend trop. La valeur critique pour investir décroit lorsque la barrière se rapproche, ou lorsque la volatilité augmente. L'incertitude a un effet ambigu sur le temps espéré de décision et sur la probabilité de résolution après N années. Les résultats numériques et analytiques s'appliquent aussi à une option financière aéricaine avec une "down-and-out barrier" sur un support payant des dividendes.option réelle, incertitude, irréversibilité
Implications of Persistent Pain in Patients With Rheumatoid Arthritis Despite Remission Status: Data From the KOBIO Registry
Objective: This study aimed to assess the prevalence of pain in patients with RA in clinical remission and analyze the demographic and clinical characteristics of those who experienced persistent pain despite remission status. Methods: Data from 1,891 patients with RA registered on the Korean College of Rheumatology Biologics and Targeted Therapy registry were obtained. Remission was defined as a Disease Activity Score of 28 joints-erythrocyte sedimentation rate (ESR) <2.6. Pain intensity was classified as severe (pain visual analog scale [VAS] ≥7), moderate (4≤VAS<7), or mild (VAS <4). Results: Our analysis showed that 52.6% of patients complained of severe pain at the start of or during switching biological disease- modifying anti-rheumatic drugs (bDMARDs) or targeted synthetic DMARDs (tsDMARDs). Despite having a 36.0% (n=680) remission rate after the use of bDMARDs or tsDMARDs at their 1-year follow-up, 21.5% (n=146) of these patients had moderateto- severe pain, higher frequency of foot erosions, and comorbidities, such as mental illness, endocrine, renal, and neurological disorders, than patients with a milder degree of pain. The multivariable regression analysis showed that presence of foot erosions, neurological disorders, and use of corticosteroids were independently associated with moderate-to-severe pain in patients with RA despite being in remission. The level of ESR and use of Janus kinase inhibitors were inversely associated with moderate-to-severe pain. Conclusion: Persistent pain and discomfort continue to be a problem for patients with RA in clinical remission. Continued research on insistent pain in patients with RA is warranted to better alleviate distress and improve the quality of life in patients. © 2022 by the Author(s)
HA-NA subtype linkage in data generated for this study.
(A) The number of each HA-NA subtype combinations (values) and the proportion of the total data set these values represent (shading). (B) A plot of the Pearson residuals of Chi-squared tests. For a given cell, the size of the circle is proportional to the amount of the cell contribution. Positive residuals are in blue and identify HA and NA subtypes for which there is a strong positive association in the data set. Negative residuals are in light pink and show a weak negative association, that is, they are underrepresented in the data set. This figure comprises unique viral genomes with at least one segment. Plots of subtype data by location and time are presented in S3 Fig.</p
Ambiguity Resolution for Author Names of Bibliographic Data
Users or researchers have been confronted with serious problems in ambiguities of author names, while a great deal of scholar information quickly accumulated in Internet. Therefore researches on ambiguity resolution for author name are indispensable. With comparison to previous work, this study attempts to address the problem using information contained in bibliographic data only. Five features, co-author (C), article title (T), journal title (J), year (Y), and number of pages (P), are used to disambiguate author names in this study. Note that feature Y and feature P are not ever used before. Both supervised learning methods (Naïve Bayes and Support Vector Machine) and unsupervised learning method (K-means) are employed to explore 28 different feature combinations. The findings show that the performance of feature journal title (J) and co-author (C) is very effective. Feature J plays an important role in three different approaches, and feature C is effective in SVM. In addition, feature Y and feature P obviously enhance accuracy and the average improvement rate of inclusion with feature Y is more significant than that of feature P (+2.5% in average). It is also shown that the performance of feature combination CTJ used traditionally is not superior to JYP, and the performance of feature combinations CJY, JY and J are also very effective in the three methods. Finally, it is found that the accuracy of disambiguation on larger datasets is 10% inferior to that of the smaller ones, which indicated the limitation of using bibliographic data only in this “numerous and jumbled” real world. Consequently, the effective approach to disambiguating author name has to not only fully use bibliographic data but also introduce appropriate outer resources
J. K. Rowling Harry Potter book cover design publishing house "A-BA-BA-HA-LA-MA-HA"
Представлено результати розгляду оформлення серії дитячих книжок Дж. Ролінг "Гаррі Поттер" видавництва "А-БА-БА-ГА-ЛА-МА-ГА" (опублікованих в 2002-2007 роках). Метою дослідження є визначення художніх, дизайнерських особливостей книжкових палітурок цих видань: розкриття художніх засобів образного рішення палітурок та дизайнерські рішення в оформленні і розташування тексту. З’ясовано що палітурка виступає одним із головних аспектів оформлення дитячої книги, яка впливає на читача найбільше при першому знайомстві із виданням, особливо у ситуації заохочення до гри. При розробці дизайну видань книг такої тематики потрібно детально вивчити зміст і сюжетні повороти, задумані автором тексту, але необхідно мислити глобально, плануючи художнє оформлення видання, дотримуватись вподобань цільової аудиторії.The results of the review of the design at a series of children's books "Harry Potter" by J. K. Rowling published by "A-BA-BA-HA-LA-MA-HA" (published in 2002-2007) are presented. The aim of the research is to determine the artistic and design features of book covers: the disclosure of artistic means of figurative solution of covers, and design decisions in the structure of the text. It has been found that the cover is one of the main aspects of the design of a children's book, which affects the reader the most when first acquainted with the publication. When designing books on this topic, you need to study in detail the content and plot twists conceived by the author of the text, but you need to think globally, planning a few steps forward, and follow the preferences of the targeted audience
Effects of Nitrogen and Planting Seed Size on Cotton Growth, Development, and Yield
A standardized experiment was conducted during 2009 and 2010 at 20 location-years across U.S. cotton (Gossypium hirsutum L.)-producing states to compare the N use requirement of contemporary cotton cultivars based on their planting seed size. Treatments consisted of three cotton varieties with planting seed of different numbers of seed per kg and N rates of 0, 45, 90, and 134 kg ha⁻¹. Soil at each trial location was sampled and tested for nitrate presence. High levels of soil nitrate (>91 N-NO₃⁻kg ha⁻¹) were found in Arizona and western Texas, and soil nitrate in the range of 45 to 73 kg N-NO₃⁻ ha⁻¹ was found at locations in the central United States. Cotton lint yield responded to applied N at 11 of 20 locations. Considering only sites that responded to applied N, highest lint yields were achieved with 112 to 224 kg ha⁻¹of applied plus pre-plant residual soil NO₃—translating to an optimal N requirement of 23 kg ha⁻¹ per 218 kg bale of lint produced. Among the varieties tested those with medium-sized seed produced higher yields in response to N than did larger and smaller seeded varieties. Varieties with larger seed had longer and stronger fibers, higher fiber length uniformity than small seeded varieties and decreased micronaire. Seed protein and oil increased and decreased slightly in response to increasing amounts of soil nitrate plus applied N, respectively
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