1,156 research outputs found
Optimized digital filtering techniques for radiation detection with HPGe detectors
This paper describes state-of-the-art digital filtering techniques that are
part of GEANA, an automatic data analysis software used for the GERDA
experiment. The discussed filters include a novel, nonlinear correction method
for ballistic deficits, which is combined with one of three shaping filters: a
pseudo-Gaussian, a modified trapezoidal, or a modified cusp filter. The
performance of the filters is demonstrated with a 762 g Broad Energy Germanium
(BEGe) detector, produced by Canberra, that measures {\gamma}-ray lines from
radioactive sources in an energy range between 59.5 and 2614.5 keV. At 1332.5
keV, together with the ballistic deficit correction method, all filters produce
a comparable energy resolution of ~1.61 keV FWHM. This value is superior to
those measured by the manufacturer and those found in publications with
detectors of a similar design and mass. At 59.5 keV, the modified cusp filter
without a ballistic deficit correction produced the best result, with an energy
resolution of 0.46 keV. It is observed that the loss in resolution by using a
constant shaping time over the entire energy range is small when using the
ballistic deficit correction method
Fiber-diffraction Interferometer using Coherent Fiber Optic Taper
We present a fiber-diffraction interferometer using a coherent fiber optic
taper for optical testing in an uncontrolled environment. We use a coherent
fiber optic taper and a single-mode fiber having thermally-expanded core. Part
of the measurement wave coming from a test target is condensed through a fiber
optic taper and spatially filtered from a single-mode fiber to be reference
wave. Vibration of the cavity between the target and the interferometer probe
is common to both reference and measurement waves, thus the interference fringe
is stabilized in an optical way. Generation of the reference wave is stable
even with the target movement. Focus shift of the input measurement wave is
desensitized by a coherent fiber optic taper
Understanding how kurtosis is transferred from input acceleration to stress response and it's influence on fatigue life
High cycle fatigue of metals typically occurs through long term exposure to time varying loads which, although modest in amplitude, give rise to microscopic cracks that can ultimately propagate to failure. The fatigue life of a component is primarily dependent on the stress amplitude response at critical failure locations. For most vibration tests, it is common to assume a Gaussian distribution of both the input acceleration and stress response. In real life, however, it is common to experience non-Gaussian acceleration input, and this can cause the response to be non-Gaussian. Examples of non-Gaussian loads include road irregularities such as potholes in the automotive world or turbulent boundary layer pressure fluctuations for the aerospace sector or more generally wind, wave or high amplitude acoustic loads. The paper first reviews some of the methods used to generate non-Gaussian excitation signals with a given power spectral density and kurtosis. The kurtosis of the response is examined once the signal is passed through a linear time invariant system. Finally an algorithm is presented that determines the output kurtosis based upon the input kurtosis, the input power spectral density and the frequency response function of the system. The algorithm is validated using numerical simulations. Direct applications of these results include improved fatigue life estimations and a method to accelerate shaker tests by generating high kurtosis, non-Gaussian drive signals
Classification of red blood cell shapes in flow using outlier tolerant machine learning
The manual evaluation, classification and counting of biological objects
demands for an enormous expenditure of time and subjective human input may be a
source of error. Investigating the shape of red blood cells (RBCs) in
microcapillary Poiseuille flow, we overcome this drawback by introducing a
convolutional neural regression network for an automatic, outlier tolerant
shape classification. From our experiments we expect two stable geometries: the
so-called `slipper' and `croissant' shapes depending on the prevailing flow
conditions and the cell-intrinsic parameters. Whereas croissants mostly occur
at low shear rates, slippers evolve at higher flow velocities. With our method,
we are able to find the transition point between both `phases' of stable shapes
which is of high interest to ensuing theoretical studies and numerical
simulations. Using statistically based thresholds, from our data, we obtain
so-called phase diagrams which are compared to manual evaluations.
Prospectively, our concept allows us to perform objective analyses of
measurements for a variety of flow conditions and to receive comparable
results. Moreover, the proposed procedure enables unbiased studies on the
influence of drugs on flow properties of single RBCs and the resulting
macroscopic change of the flow behavior of whole blood.Comment: 15 pages, published in PLoS Comput Biol, open acces
Estimating the prevalence of influenza A virus antibodies in Ohio exhibition swine
Health Professions - Clinical (The Ohio State University Denman Undergraduate Research Forum)Influenza A virus (IAV) causes a highly contagious respiratory disease in many species including humans and swine. This viral agent is currently undergoing rapid evolution within the U.S. swine population where it is has been endemic for nearly a century. IAV transmission across the swine-human interface at agricultural fairs has resulted in greater than 300 documented cases of human illness. Measuring the prevalence of antibodies against IAV in swine populations is essential to assess the effectiveness of current vaccines and to improve future vaccines with the goal of slowing inter-species transmission and improving public health. A total of 189 swine sera were collected over 5 years on the last day of one large agricultural fair from 2011 through 2015. The swine present at this fair each year are believed to be representative of the larger Ohio exhibition swine population due to the fair’s wide geographic reach. The sera samples were tested for antibodies against IAV using enzyme-linked immunosorbent assay (ELISA). While IAVs are sub-typed on the basis of two surface proteins: hemagglutinin (HA) and neuraminidase (NA), the ELISA test detects antibodies in the sera against nucleoprotein, which is non-subtype specific, and a thus pan-IAV target. Of the 189 tested, 110 (58%) sera samples were positive for antibodies against IAV. Yearly prevalence for 2011 through 2015 was 51%, 45%, 28%, 83%, and 96% respectively. The increase in estimated prevalence of antibodies against IAV in 2014 and 2015 could be due to sampling bias, an increase in vaccination against IAV, or exposure to IAV prior to entering the agricultural fair. Future direction includes determining how well this previous IAV exposure is protecting exhibition swine against IAV and if IAV vaccines can be made more effective in slowing transmission as a result.The Ohio State University Undergraduate Research OfficeCenters of Excellence for Influenza Research and SurveillanceAcademic Major: Human Nutritio
Numerical-experimental observation of shape bistability of red blood cells flowing in a microchannel
Red blood cells flowing through capillaries assume a wide variety of
different shapes owing to their high deformability. Predicting the realized
shapes is a complex field as they are determined by the intricate interplay
between the flow conditions and the membrane mechanics. In this work we
construct the shape phase diagram of a single red blood cell with a
physiological viscosity ratio flowing in a microchannel. We use both
experimental in-vitro measurements as well as 3D numerical simulations to
complement the respective other one. Numerically, we have easy control over the
initial starting configuration and natural access to the full 3D shape. With
this information we obtain the phase diagram as a function of initial position,
starting shape and cell velocity. Experimentally, we measure the occurrence
frequency of the different shapes as a function of the cell velocity to
construct the experimental diagram which is in good agreement with the
numerical observations. Two different major shapes are found, namely croissants
and slippers. Notably, both shapes show coexistence at low (<1 mm/s) and high
velocities (>3 mm/s) while in-between only croissants are stable. This
pronounced bistability indicates that RBC shapes are not only determined by
system parameters such as flow velocity or channel size, but also strongly
depend on the initial conditions.Comment: 13 pages, 9 figures (main text). 13 pages, 31 figures (SI
Deformability-induced effects of red blood cells in flow
To ensure a proper health state in the human body, a steady transport of blood is necessary. As the main cellular constituent in the blood suspension, red blood cells (RBCs) are governing the physical properties of the entire blood flow. Remarkably, these RBCs can adapt their shape to the prevailing surrounding flow conditions, ultimately allowing them to pass through narrow capillaries smaller than their equilibrium diameter. However, several diseases such as diabetes mellitus or malaria are linked to an alteration of the deformability. In this work, we investigate the shapes of RBCs in microcapillary flow in vitro, culminating in a shape phase diagram of two distinct, hydrodynamically induced shapes, the croissant and the slipper. Due to the simplicity of the RBC structure, the obtained phase diagram leads to further insights into the complex interaction between deformable objects in general, such as vesicles, and the surrounding fluid. Furthermore, the phase diagram is highly correlated to the deformability of the RBCs and represents thus a cornerstone of a potential diagnostic tool to detect pathological blood parameters. To further promote this idea, we train a convolutional neural network (CNN) to classify the distinct RBC shapes. The benchmark of the CNN is validated by manual classification of the cellular shapes and yields very good performance. In the second part, we investigate an effect that is associated with the deformability of RBCs, the lingering phenomenon. Lingering events may occur at bifurcation apices and are characterized by a straddling of RBCs at an apex, which have been shown in silico to cause a piling up of subsequent RBCs. Here, we provide insight into the dynamics of such lingering events in vivo, which we consequently relate to the partitioning of RBCs at bifurcating vessels in the microvasculature. Specifically, the lingering of RBCs causes an increased intercellular distance to RBCs further downstream, and thus, a reduced hematocrit.Um die biologischen Funktionen im menschlichen Körper aufrechtzuerhalten ist eine stetige Versorgung mit Blut notwendig. Rote Blutzellen bilden den Hauptanteil aller zellulären Komponenten im Blut und beeinflussen somit maßgeblich dessen Fließeigenschaften. Eine bemerkenswerte Eigenschaft dieser roten Blutzellen ist ihre Deformierbarkeit, die es ihnen ermöglicht, ihre Form den vorherrschenden Strömungsbedingungen anzupassen und sogar durch Kapillaren zu strömen, deren Durchmesser kleiner ist als der Gleichgewichtsdurchmesser einer roten Blutzelle. Zahlreiche Erkrankungen wie beispielsweise Diabetes mellitus oder Malaria sind jedoch mit einer Veränderung dieser Deformierbarkeit verbunden. In der vorliegenden Arbeit untersuchen wir die hydrodynamisch induzierten Formen der roten Blutzellen in mikrokapillarer Strömung in vitro systematisch für verschiedene Fließgeschwindigkeiten. Aus diesen Daten erzeugen wir ein Phasendiagramm zweier charakteristischer auftretender Formen: dem Croissant und dem Slipper. Aufgrund der Einfachheit der Struktur der roten Blutzellen führt das erhaltene Phasendiagramm zu weiteren Erkenntnissen über die komplexe Interaktion zwischen deformierbaren Objekten im Allgemeinen, wie z.B. Vesikeln, und des sie umgebenden Fluids. Darüber hinaus ist das Phasendiagramm korreliert mit der Deformierbarkeit der Erythrozyten und stellt somit einen Eckpfeiler eines potentiellen Diagnosewerkzeugs zur Erkennung pathologischer Blutparameter dar. Um diese Idee weiter voranzutreiben, trainieren wir ein künstliches neuronales Netz, um die auftretenden Formen der Erythrozyten zu klassifizieren. Die Ausgabe dieses künstlichen neuronalen Netzes wird durch manuelle Klassifizierung der Zellformen validiert und weist eine sehr hohe Übereinstimmung mit dieser manuellen Klassifikation auf. Im zweiten Teil der Arbeit untersuchen wir einen Effekt, der sich direkt aus der Deformierbarkeit der roten Blutzellen ergibt, das Lingering-Phänomen. Diese Lingering-Ereignisse können an Bifurkationsscheiteln zweier benachbarter Kapillaren auftreten und sind durch ein längeres Verweilen von Erythrozyten an einem Scheitelpunkt gekennzeichnet. In Simulationen hat sich gezeigt, dass diese Dynamik eine Anhäufung von nachfolgenden roten Blutzellen verursacht. Wir analysieren die Dynamik solcher Verweilereignisse in vivo, die wir folglich mit der Aufteilung von Erythrozyten an sich gabelnden Gefäßen in der Mikrovaskulatur in Verbindung bringen. Insbesondere verursacht das Verweilen von Erythrozyten einen erhöhten interzellulären Abstand zu weiter stromabwärts liegenden Erythrozyten und damit einen reduzierten Hämatokrit
Who said words can never hurt? : an investigation of child weight status, childhood psycosocial variables, and later adult quality of life
The first purpose of the research project was to examine the relationship between child weight status and adult quality of life. The second purpose of the research project was to test psychosocial variables as mediators of the relationship between child weight status and adult quality of life. A total of 164 undergraduate and graduate students from Louisiana State University participated in the study. The students completed five online questionnaires that were used to assess variables such as child weight status, adult weight status, history of childhood teasing experiences, child self-concept, and adult quality of life. Several statistical analyses were employed to test the project’s 23 hypotheses. Descriptive statistics were utilized to describe the project’s participants. Correlational analyses were run to determine if there were associations between some of the independent and dependent variables. Hierarchical regression analyses were also used to test the significance of the mediation models. Results of the project showed that child weight status was negatively associated with adult quality of life. Variables that significantly mediated the relationship between child weight status and adult quality of life, such as low child self-concept and a history of being teased during childhood, were also identified. Recognizing the influence that teasing and child self-concept have on an overweight or obese child’s future quality of life stresses the importance of addressing the psychosocial variables when working with children who struggle with weight management
A digital multi-channel spectroscopy system with 100 MHz flash ADC module for the GENIUS-TF and GENIUS projects
In this paper we will present the first results of applying a digital
processing technology in low-level gamma spectroscopy with HPGE detectors. An
experimental gamma spectrometer using Flash ADC module is built and tested. The
test system is now under development and shows major advantages over the
traditional analog technologies. It will be installed for the GENIUS-TF and
GENIUS projects in Gran-Sasso in early 2003.Comment: 8 pages, latex, 6 figures, Published in NIM, Volume 498, Issues 1-3,
Pages 334-339, also see Home Page of Heidelberg Non-Accelerator Particle
Physics Group: http://www.mpi-hd.mpg.de/non_acc
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