180 research outputs found

    Vacuum Packaged Low-Power Resonant MEMS Strain Sensor

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    This paper describes a technical approach toward the realization of a low-power temperature-compensated micromachined resonant strain sensor. The sensor design is based on two identical and orthogonally-oriented resonators where the differential frequency is utilized to provide an output proportional to the applied strain with temperature compensation achieved to first order. Interface circuits comprising of two front-end oscillators, a mixer, and low-pass filter are designed and fabricated in a standard 0.35-μm CMOS process. The characterized devices demonstrate a scale factor of 2.8 Hz/με over a strain range of 1000 με with excellent linearity over the measurement range. The compensated frequency drift due to temperature is reduced to 4% of the uncompensated value through this scheme. The total continuous power consumption of the strain sensor is 3 μW from a 1.2 V supply. This low power implementation is essential to enable battery-powered or energy harvesting enabled monitoring applications.This work was supported in part by the U.K. Engineering and Physical Sciences Research Council under Grant EP/K000314/1 and in part by the Cambridge Centre for Smart Infrastructure and Construction.This is the author accepted manuscript. The final version is available from IEEE via https://doi.org/10.1109/JMEMS.2016.258786

    Vulnerabilities of the Artificial Pancreas System and Proposed Cryptographic Solutions

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    Type I Diabetes Mellitus is the most common form of diabetes in people under the age of 30. Current treatment for Type I Diabetes Mellitus includes lifelong monitoring of blood glucose levels and administration of insulin injections, but medical advances in the hybrid closed-loop artificial pancreas are a possible improvement in the maintenance of this disease. Our goal is to build a simulation of the artificial pancreas using three Raspberry Pi computers and an implementation of the OpenAPS algorithm. We will also build an artificial pancreas system using two Raspberry Pi computers, a Medtronic insulin pump, and an implementation of the OpenAPS algorithm. We are investigating the vulnerabilities of the two artificial pancreas systems by using common hacking resources such as Kali Linux equipped with Wireshark and other tools. One challenge with securing the artificial pancreas system and other implantable medical devices is the limitations of the computational power and energy storage. Through an analysis of the vulnerabilities of the system, we will design and perform experiments to propose a lightweight cryptographic algorithm that ensures the security of the data transmissions while operating with constrained resources

    BioMaPS: A Roadmap for Success

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    The manuscript outlines the impact that our National Science Foundation Interdisciplinary Training for Undergraduates in Biological and Mathematical Sciences program, BioMaPS, has had on the students and faculty at Murray State University. This interdisciplinary program teams mathematics and biology undergraduate students with mathematics and biology faculty and has produced research insights and curriculum developments at the intersection of these two disciplines. The goals, structure, achievements, and curriculum initiatives are described in relation to the effects they have had to enhance the study of biomathematics

    Epithelial Ovarian Cancer Diagnosis of SecondHarmonic Generation Images: A Semiautomatic Collagen Fibers Quantification Protocol

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    A vast number of human pathologic conditions are directly or indirectly related to tissular collagen structure remodeling. The nonlinear optical microscopy second-harmonic generation has become a powerful tool for imaging biological tissues with anisotropic hyperpolarized structures, such as collagen. During the past years, several quantification methods to analyze and evaluate these images have been developed. However, automated or semiautomated solutions are necessary to ensure objectivity and reproducibility of such analysis. This work describes automation and improvement methods for calculating the anisotropy (using fast Fourier transform analysis and the gray-level co-occurrence matrix). These were applied to analyze biopsy samples of human ovarian epithelial cancer at different stages of malignancy (mucinous, serous, mixed, and endometrial subtypes). The semiautomation procedure enabled us to design a diagnostic protocol that recognizes between healthy and pathologic tissues, as well as between different tumor types.Fil: Zeitoune, Angel Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia de Entre Ríos. Universidad Nacional de Entre Ríos. Centro de Investigaciones y Transferencia de Entre Ríos; ArgentinaFil: Luna, Johana S. J.. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; ArgentinaFil: Sanchez Salas, Kynthia. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; ArgentinaFil: Erbes, Luciana Ariadna. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia de Entre Ríos. Universidad Nacional de Entre Ríos. Centro de Investigaciones y Transferencia de Entre Ríos; ArgentinaFil: Cesar, Carlos L.. Universidade Federal do Ceará; Brasil. National Institute of Science and Technology on Photonics Applied to Cell Biology; BrasilFil: Andrade, Liliana A. L. A.. Universidade Estadual de Campinas; BrasilFil: Carvahlo, Hernades F.. Universidade Estadual de Campinas; Brasil. National Institute of Science and Technology on Photonics Applied to Cell Biology; BrasilFil: Bottcher Luiz, Fátima. Universidade Estadual de Campinas; Brasil. National Institute of Science and Technology on Photonics Applied to Cell Biology; BrasilFil: Casco, Victor Hugo. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; ArgentinaFil: Adur, Javier Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia de Entre Ríos. Universidad Nacional de Entre Ríos. Centro de Investigaciones y Transferencia de Entre Ríos; Argentina. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentin

    Retention of foreign body in the gut can be a sign of congenital obstructive anomaly: a case report

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    <p>Abstract</p> <p>Introduction</p> <p>Small smooth objects that enter the gut nearly always pass uneventfully through the gastrointestinal tract. Retention of foreign objects may occur due to congenital obstructive anomaly of the gut.</p> <p>Case presentation</p> <p>We report here a child who presented with features of small gut obstruction which were attributed to a foreign body impacted in the intestine. At surgery, an annular pancreas was detected and the foreign body was found to be lodged in the distended proximal duodenum.</p> <p>Conclusion</p> <p>The reported case highlights the fact that an impacted radio-opaque foreign body in a child should warn the pediatrician to the possibility of an obstructive congenital anomaly.</p

    Methylation of FKBP5 and SLC6A4 in Relation to Treatment Response to Mindfulness Based Stress Reduction for Posttraumatic Stress Disorder

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    Mindfulness Based Stress Reduction (MBSR) is an effective non-pharmacologic treatment for veterans with PTSD. Extensive work has identified epigenetic factors related to PTSD disease risk and pathophysiology, but how these factors influence treatment response is unclear. Serotonin signaling and hypothalamic-pituitary-adrenal (HPA) axis functioning may be perturbed in PTSD and are molecular pathways targeted by PTSD treatments. To identify potential biomarkers for treatment response, we utilized genomic DNA isolated from peripheral blood samples from veterans with PTSD who were responders (n = 11) or non-responders (n = 11) to MBSR as part of a clinical trial. We assessed methylation levels at CpG sites in regions of the serotonin transporter (SLC6A4) previously associated with expression and depression outcomes, as well as the Intron 7 region of the FK506 binding protein 5 (FKBP5) containing known glucocorticoid response elements suggested to regulate this gene. Selected subjects were matched across MBSR responder status by baseline symptoms, age, sex, current smoking status, and current antidepressant use. Percent methylation was compared between responders and non-responders at baseline (pre-MBSR treatment). Additionally, percent change in methylation from baseline to post-treatment was compared between responders and non-responders. There was a significant time x responder group interaction for methylation in FKBP5 intron 7 bin 2 [F(1, 19) = 7.492, p = 0.013] whereby responders had a decrease in methylation and non-responders had an increase in methylation from before to after treatment in this region. Analyses of the three CpG sites within bin 2 revealed a significant time x responder group interaction for CpG_35558513 [F(1, 19) = 5.551, p = 0.029] which resides in a known glucocorticoid response element (GRE). Decreases in FKBP5 methylation after treatment in responders as compared to increases in non-responders suggest that effective meditation intervention may be associated with stress-related pathways at the molecular level. These preliminary findings suggest that DNA methylation signatures within FKBP5 are potential indicators of response to meditation treatment in PTSD and require validation in larger cohorts
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