1,721,006 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
A noninvasive, electromagnetic, epidermal sensing system for biofluid phenomena detection
Get PDFThesis (M.S.)-- Wichita State University, College of Engineering, Dept. of Biomedical EngineeringHealth-care technologies for non-invasive monitoring of vital parameters like blood pressure
and heart rate are widely used due to their capability to function as a point-of-care device.
However, most of these devices are limited to using either optical based sensing methods, which
are vulnerable to environmental optical interference and possess a limited penetration depth, or
galvanic electrode transducers, which require multiple conducting nodes connected to the skin
as well as prone to muscle action potential. In addition, most of these sensing systems are
realized on hard electronics which lack epidermal conformance. These limitations highlight the
need for developing minimally obtrusive, non-invasive, conformal diagnostic clinical devices for
extracting vital signs as well as non-super cial limb hemodynamics. Technologies based on
electromagnetic sensing using exible radio frequency (RF) resonators are well poised to
address this need. Electromagnetic sensors can be leveraged to detect volumetric changes in
layered material as changes in the re ection coe cient since dielectric variation in the near- eld
electromagnetic boundary. The focus of this study was to develop a minimally obtrusive
electromagnetic sensing system to non-invasively detect pulsatile blood ow from the radial
artery through conformal and functional biointerface. For that purpose, a exible RF resonator
with two di erent readout architectures have been developed. The sensing architectures
integrate a novel RF skin patch resonator embedded with a coplanar outer loop antenna and a
compact, standalone wireless readout hardware based on standing wave ratio (SWR) bridge,
and directional coupler with RF gain and phase detector. The resonator itself is a copper-based
open circuit planar Archimedean spiral with a rectangular cross-sectional area, chemically
etched on a exible polyimide substrate. The readout hardware is developed exploiting
o -the-shelf components, fabricated on the top of a rigid FR4 substrate. Under external RF
stimulus, the resonator electromagnetically couples to the surrounding dielectric medium. Any
change in the dielectric properties results in perturbation to this near eld coupling. This e ect
can be measured through tracking the changes in re ected power and complex S11 modulation
(amplitude and phase) from the resonator using the proposed hardwares. By leveraging this
working principle and the dielectric characteristics of biological tissues, the experimental results
from in-vitro benchtop models and human trials con rmed the ability of the sensing systems as
the potential noninvasive blood ow and limb hemodynamics detector. Hence, the systems could
be the alternative to the conventional, non-invasive wearable sensing with an unprecedented
capability of multimodal bio uid phenomena detection within a single sensing platform
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Characterization of ischemic muscle of peripheral artery disease patients by elemental concentration using energy dispersive x-ray spectroscopy
No full textPoster project completed at Wichita State University, Department of Industrial Engineering, Department of Human Performance Studies, and Department of Biomedical Engineering. Presented at the 12th Annual Capitol Graduate Research Summit, Topeka, KS, February 12, 2015.Peripheral artery disease (PAD) is characterized by atherosclerotic blockages of the arteries supplying blood to lower extremities and affects approximately 10 million lives in the United States. Functional testing, such as ankle brachial index (ABI), can identify reduced blood flow (due to blockages in the arteries) based on blood pressure differences between the ankle and arm. However, there is a need to measure more than just abnormal blood flow-there is a need to measure the secondary effects on the end organ (skeletal muscle). In this study, we evaluated the hypothesis that severity of muscle damage can be characterized by analyzing the differences in muscle elemental concentration. The objective of this study was to compare elemental concentration including sodium, potassium, calcium, magnesium and sulfur in myofibers of gastrocnemius biopsies from control subjects and PAD patients. We obtained gastrocnemius biopsies from three subjects including control, claudicating and critical limb ischemia (CLI) patients. In total, 15 myofibers were analyzed, 5 from each tissue specimen. Using a scanning electron microscope (SEM) and energy dispersive X-ray spectroscopy (EDS), differences in elemental concentrations between control and PAD muscle samples were quantified. An analysis of variance was performed and significant differences (p<0.05) in muscle elemental concentration were found. SEM and EDS were able to characterize changes to the elemental concentration in PAD muscle, which correlated with clinical diagnosis of PAD. These findings may aid in the identification of neglected therapeutic targets and the development of specialized preventive or rehabilitative treatment plans
Detection and classification of cerebral vascular injury via microwave sensing and AI
No full textThesis (M.S.)-- Wichita State University, College of Engineering, Dept. of Biomedical EngineeringThis thesis evaluates the capability of a monostatic RFR in detecting physiological changes which accommodate cerebral hemorrhage. The expected result is that the data collected from the RFR can be used in the training of machine learning models which can then accurately predict the flow rate of hemorrhage. The second chapter of this thesis is dedicated to a literature review covering the following: The physiology of hemorrhagic stroke, alternative monitoring methods and their underlying theories and applications, current obstacles and future works. The third chapter summarizes the methods and results of the dataset generation and artificial intelligence model development and performance.
This study used an ex vivo porcine model. Radio frequency sweeps were conducted using a vector network analyzer. The machine learning models used were: linear regression, logistic regression, random forest, k-nearest neighbors. Several convolutional neural network models were explored. Hyperparameter searches were conducted, and the best performing models were evaluated. It was concluded that linear regression and logistic regression failed to predict flow rate based on resonant frequency shifts. Both the k-nearest neighbors and random forest models performed well, achieving 81.1% and 74.2% accuracy, respectively. Finally, the results for the convolutional neural networks were inconclusive due to insufficient dataset size
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Shoulder joint clearance detection for astronaut space suits using wearable electromagnetic resonant spiral proximity
No full textPresented to the 15th Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held at the Rhatigan Student Center, Wichita State University, April 26, 2019.Research completed in the Department of Biomedical Engineering, College of EngineeringINTRODUCTION: Shoulder joint injury is a common musculoskeletal injury that occurs during astronaut training while they are wearing the space suit. There is restricted mobility around the shoulder joint due to the rigid inner components of the suit that constrains the desired range of motion for space mission tasks. This rigid piece of the suit is known as the hard upper torso (HUT), which allows for sealed connection between other components that sets upon the skin tight liquid cooling and ventilation garment (LCVG) that contains a tubing mechanics that keeps the body temperature regulated from reaching dangerous levels. During training sessions, astronauts can receive significant rotator cuff injuries from the lack of clearance between the LCVG and the HUT. A detection scheme that provides proximity, of a proposed minimum clearance distance of one centimeter to provide sufficient mobility, is lacking for space suit fitting. PURPOSE: The objective of this paper is to propose a novel detection scheme using an electromagnetic resonant spiral sensor that allows for quantitative measurements of proximity between the shoulder joint with the LCVG and the aluminum component of the HUT. METHODS: An LCVG model is created with net dressing and latex tubing in which the proximity sensor is placed upon. While water is continuously flowing through the tubing, a metal plate, which represents the scye bearing joint of the HUT, is placed in parallel to the sensor and measurements are increased every 0.5 mm until 10 mm is achieved. All 21 distances are measured in 20 separate repeated tests to run through a regression learning algorithm with half used to train and the other half to validate the response. Predictors were chosen based on the resonant frequency response with only the most parsimonious data chosen. RESULTS: The results indicate that using a fine decision tree regression algorithm, the algorithm is able to validate the response with an RMSE of 0.93 mm with a strong coefficient of determination (R2=0.93). This algorithm for this given scenario shows strong accuracy and repeatability for proximity detection up to 10 mm for reliable readings. CONCLUSION: This study presents a novel method of identifying proximity detection using an electromagnetic resonant spiral sensor for space suit fitting application. Using this knowledge will allow for future implementation into the space suit for quantitative fitting parameters to help adjust and avoid potential musculoskeletal shoulder joint injuries.Graduate School, Academic Affairs, University Librarie
- …
