1,553 research outputs found
OPTIMAL DESIGN OF A STEPPER-DRIVEN PLANAR LINKAGE USING ENTROPY METHODS
Stepper motors can be used to provide open-loop motion control in mechanisms. Unlike servo controlled mechanisms, however, the rotational drive input error cannot be resolved below the step error in the motor. Therefore, there is a fixed level of rotational position error that must be accepted in stepper driven mechanisms, and this rotational position error will inevitably propagate to kinematic position error in the mechanism. In this paper, the direct linearization method will be used to derive a model for kinematic position error based on uncertainty in the rotational input angle of a mechanism. Using this model, a method of constrained optimization to design a mechanism to minimize the effect of uncertain input conditions on kinematic position will be presented. The method is based on entropy minimization techniques that have been applied in a variety of robotic system applications. The method will be demonstrated in a case study, and will be shown to optimize the positioning reliability of a mechanism under input angle errors. The method will be shown to accurately predict drive error propagation, through comparison to Monte Carlo simulation. When coupled with entropy-based system reliability optimization methods, optimal mechansims can be synthesized in response to various positioning constraints
On Interferometric Duality in Multibeam Experiments
We critically analyze the problem of formulating duality between fringe
visibility and which-way information, in multibeam interference experiments. We
show that the traditional notion of visibility is incompatible with any
intuitive idea of complementarity, but for the two-beam case. We derive a
number of new inequalities, not present in the two-beam case, one of them
coinciding with a recently proposed multibeam generalization of the inequality
found by Greenberger and YaSin. We show, by an explicit procedure of
optimization in a three-beam case, that suggested generalizations of Englert's
inequality, do not convey, differently from the two-beam case, the idea of
complementarity, according to which an increase of visibility is at the cost of
a loss in path information, and viceversa.Comment: 26 pages, 1 figure, substantial changes in the text, new material has
been added in Section 3. Version to appear in J.Phys.
Usutu virus in blackbirds (Turdus merula) with clinical signs, a case study from northern Italy
Usutu virus (USUV) is a mosquito-borne virus belonging to the family Flaviviridae, genus Flavivirus. Natural transmission
cycle of USUV involves mosquitoes and birds, so humans and other mammals are considered incidental hosts. In this study,
USUV infection was diagnosed in all wild blackbirds, collected from July to September 2018 in a wildlife recovery center
in the province of Bologna, in the Emilia-Romagna region, northern Italy. All blackbirds showed neurological clinical signs,
such as overturning, pedaling, and incoordination. Moreover, the subjects died shortly after arriving at the hospitalization
center. Virological investigations were performed by real-time PCR on frozen samples of the spleen, kidney, myocardium,
and brain for the detection of Usutu (USUV) and West Nile (WNV) viruses. The small and large intestine were used as a
matrix for the detection of Newcastle disease virus (NDV). All 56 subjects with neurological clinical signs were positive
for USUV, only one subject (1.8%) tested positive for WNV, and no subject was positive for NDV. The most represented
age class was class 1 J (58.9%), followed by class 3 (25.0%), and lastly from class 4 (16.1%). Most of the blackbirds before
dying were in good (51.8%) and fair (39.3%) nutritional status, while only five subjects (8.9%) were cachectic. The USUV
genomes detected in the blackbirds of this study fall within the sub-clade already called EU2 that has been detected since
2009 in the Emilia-Romagna region. Neurological clinical signs in USUV-affected blackbirds are still widely discussed and
there are few works in the literature. Although our results require further studies, we believe them to be useful for understanding
the clinical signs of Usutu virus in blackbirds, helping to increase the knowledge of this zoonotic agent in wild species
and to understand its effect on the ecosystem. The goal of this study was to report—in the context of the regional passive
surveillance program—the detection of USUV RNA in its most important amplifying host, the common blackbird, when
showing clinical signs before death
Fermionic Determinant of the Massive Schwinger Model
A representation for the fermionic determinant of the massive Schwinger
model, or , is obtained that makes a clean separation between the
Schwinger model and its massive counterpart. From this it is shown that the
index theorem for follows from gauge invariance, that the Schwinger
model's contribution to the determinant is canceled in the weak field limit,
and that the determinant vanishes when the field strength is sufficiently
strong to form a zero-energy bound state
QED in strong, finite-flux magnetic fields
Lower bounds are placed on the fermionic determinants of Euclidean quantum
electrodynamics in two and four dimensions in the presence of a smooth,
finite-flux, static, unidirectional magnetic field , where
or , and is a point in the xy-plane.Comment: 10 pages, postscript (in uuencoded compressed tar file
UMAP 2018 HUM (Holistic User Modeling) Workshop Chairs’ Preface & Organization
It is our great pleasure to welcome you to the UMAP 2018 HUM (Holistic User Modeling) Workshop. According to a recent claim by IBM, 90% of the data available today have been created in the last two years. This exponential growth of online information has given new life to research in the area of user modeling and personalization, since information about users' preferences, sentiment and opinions, as well as signals describing their physical and psychological state, can now be obtained by mining data gathered from many heterogeneous sources. We can distinguish two important classes of such data sources. One of these comes from recent trends in Quantified Self (QS) and Personal Informatics, which has emphasized the use of technology to collect personal data on different aspects of people's daily lives. These data can be internal states (such as mood or glucose level) or indicators of performance (such as the kilometers run). The purpose of collecting these data is self-monitoring, performed to gain self-knowledge or to obtain some change or improvement (behavioral, psychological, therapeutic, etc.). Often these data are also exploited for behavior change purposes, for example to increase the user's physical activity. The other key category comes from the enormous amount of textual content that is continuously spread on social networks. This has driven a strong research effort to investigate to what extent such data can be exploited to infer user interests, personality traits, emotions, and knowledge. Moreover, the recent phenomenon of (Linked) Open Data fueled this research line by making available a huge amount of machine-readable textual data that can be used to connect all the data points spread in different data silos under a uniform representation formalism. The main goal of the workshop is to investigate whether techniques for advanced content representation and methodologies for gathering and modeling personal data (e.g. physiological, behavioral) can be exploited to build a new generation of personalized and intelligent systems in domains as diverse as health, learning, behavior change, e-government, smart cities (e.g., by combining mood data and music preferences data to provide recommendations on music to be listened)
The Single-Particle density of States, Bound States, Phase-Shift Flip, and a Resonance in the Presence of an Aharonov-Bohm Potential
Both the nonrelativistic scattering and the spectrum in the presence of the
Aharonov-Bohm potential are analyzed. The single-particle density of states
(DOS) for different self-adjoint extensions is calculated. The DOS provides a
link between different physical quantities and is a natural starting point for
their calculation. The consequences of an asymmetry of the S matrix for the
generic self-adjoint extension are examined.
I. Introduction
II. Impenetrable flux tube and the density of states
III. Penetrable flux tube and self-adjoint extensions
IV. The S matrix and scattering cross sections
V. The Krein-Friedel formula and the resonance
VI. Regularization
VII. The R --> 0 limit and the interpretation of self-adjoint extensions
VIII. Energy calculations
IX. The Hall effect in the dilute vortex limit
X. Persistent current of free electrons in the plane pierced by a flux tube
XI. The 2nd virial coefficient of nonrelativistic interacting anyons
XII. Discussion of the results and open questionsComment: 68 pages, plain latex, 7 figures, 3 references and one figure added
plus a few minor text correction
On the relevance of the mathematics curriculum to young people
In this paper we draw upon focus group data from a large study of learner trajectories through 14-19 mathematics education to think about the notion of relevance in the mathematics curriculum. Drawing on data from three socially distanced sites we explore how different emphases on what might be termed practical, process and/or professional forms of relevance affect the experiences and aspirations of learners of mathematics. We consider whether an emphasis on practical relevance in schools serving relatively disadvantaged communities might aid the reproduction of students’ social position. This leads us to suggest that a fourth category of curriculum relevance – political relevance – is largely missing from classrooms
The prognostic role of post-induction FDG-PET in patients with follicular lymphoma: a subset analysis from the FOLL05 trial of the Fondazione Italiana Linfomi (FIL)
BACKGROUND: [18F]fluorodeoxyglucose-positron emission tomography (PET) is emerging as a strong diagnostic and prognostic tool in follicular lymphoma (FL) patients.
PATIENTS AND METHODS: In a subset analysis of the FOLL05 trial (NCT00774826), we investigated the prognostic role of post-induction PET (PI-PET) scan. Patients were eligible to this study if they had a PI-PET scan carried out within 3 months from the end of induction immunochemotherapy. Progression-free survival (PFS) was the primary study end point.
RESULTS: A total of 202 patients were eligible and analysed for this study. The median age was 55 years (range 33-75). Overall, PI-PET was defined as positive in 49 (24%) patients. Conventional response assessment with CT scan was substantially modified by PET: 15% (22/145) of patients considered as having a complete response (CR) after CT were considered as having partial response (PR) after PI-PET and 53% (30/57) patients considered as having a PR after CT were considered as a CR after PI-PET. With a median follow-up of 34 months, the 3-year PFS was 66% and 35%, respectively, for patients with negative and positive PI-PET (P<0.001). At multivariate analysis, PI-PET (hazard ratio 2.57, 95% confidence interval 1.52-4.34, P<0.001) was independent of conventional response, FLIPI and treatment arm. Also, the prognostic role of PI-PET was maintained within each FLIPI risk group.
CONCLUSIONS: In FL patients, PI-PET substantially modifies response assessment and is strongly predictive for the risk of progression. PET should be considered in further updates of response criteria
The use of FDG-PET in the initial staging of 142 patients with follicular lymphoma: a retrospective study from the FOLL05 randomized trial of the Fondazione Italiana Linfomi
BACKGROUND: The role of [(18)F] fluorodeoxyglucose (FDG)-positron emission tomography (PET) in follicular lymphoma (FL) staging is not yet determined.
PATIENTS AND METHODS: The aim of the present study was to investigate the role of PET in the initial staging of FL patients enrolled in the FOLL05-phase-III trial that compared first-line regimens (R-CVP, R-CHOP and R-FM). Patients should have undergone conventional staging and have available PET baseline to be included.
RESULTS: A total of 142 patients were analysed. PET identified a higher number of nodal areas in 32% (46 of 142) of patients and more extranodal (EN) sites than computed tomography (CT) scan. Also, the Follicular Lymphoma International Prognostic Index (FLIPI) score increased in 18% (26 of 142) and decreased in 6% (9 of 142) of patients. Overall, the impact of PET on modifying the stage was highest in patients with limited stage. Actually, 62% (15 of 24) of cases with limited disease were upstaged with PET.
CONCLUSIONS: The inclusion of PET among staging procedures makes the evaluation of patients with FL more accurate and has the potential to modify therapy decision and prognosis in a moderate proportion of patients. Further prospective clinical trials on FL should incorporate PET at different moments, and the therapeutic criteria to start therapy should be re-visited in the views of this new tool
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