236 research outputs found
Digital amplification for pathogen detection in bloodstream infections from whole blood
No full textSensitive and specific detection of bacteria is essential for control and treatment of bloodstream infections. Sepsis, a diagnostic challenge of blood stream infections, causes thousands of deaths each year. The gold standard for detection and identification of microorganisms is blood culture, which can take up to 5 days to yield a diagnosis or a negative result. Molecular diagnostic methods and nucleic acid assays developed to detect pathogens often require enrichment through blood culture prior to DNA extraction. Nonetheless, state of the art diagnostic tests that detect pathogens directly from blood are available with limitations. Increased amount of sample processing and purification is required before detection of pathogens and turnaround time to results can be up to 8 hours. Moreover, the sensitivity and specificity of such assays are broad in range. Thus, there is a need for a rapid detection method that can identify pathogens from whole blood within 1-2 hours, with minimal sample processing and high sensitivity and specificity.
In this work, we demonstrate detection of bacterial pathogens from whole blood through loop mediated isothermal amplification without the steps of DNA purification and extraction. Whole blood with pathogens is dried to tubes, creating separated phases of the cellular debris of blood from the amplification reaction and allowing for separation of background human DNA from target DNA as well as better detection of amplicons that are not masked by red blood cells. We show that this method is robust, having a detection limit of 1 cfu of pathogens in 4uL of whole blood. In preparation of processing higher blood volumes in a digital amplification method, we also show characterization experiments and preliminary results of amplification of pathogens from whole blood on chip.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-12-01The student, Ariana Mostafa, accepted the attached license on 2019-12-04 at 05:15.The student, Ariana Mostafa, submitted this Thesis for approval on 2019-12-04 at 05:29.This Thesis was approved for publication on 2019-12-05 at 09:04.DSpace SAF Submission Ingestion Package generated from Vireo submission #14686 on 2020-02-28 at 17:23:14Made available in DSpace on 2020-03-02T22:15:06Z (GMT). No. of bitstreams: 3
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Previous issue date: 2019-12-05Embargo set by: Seth Robbins for item 113911
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High sensitivity pathogen detection assays from crude samples
No full textDetection of pathogens for diagnosis of disease is very important for advancing healthcare, especially in resource-scarce settings with minimal access to laboratory equipment or techniques. Culture being the gold standard for bacterial and fungal detection and immunoassay or nucleic acid-based testing for viral detection, these approaches are time-consuming, expensive, and require extensive resources and time for the identification of pathogen. Standard protocols for nucleic acid-based detection for pathogens require intricate pretreatment processes including pathogen lysis, isolation, and purification processes to separate the inhibiting factors from crude samples (such as whole blood, nasal swabs, saliva, and even food/environmental samples) before nucleic acid-based tests are performed. These laboratory-based procedures involve multiple steps, skilled technicians, and specific instruments, which all add to the limitations of current nucleic acid-based point of care testing. Therefore, there is a need for diagnostics with quick and direct detection of pathogenic nucleic acids from unpurified samples. In this thesis, we present a “Biphasic” LAMP based platform for detection of bacterial and fungal pathogens from whole blood with minimal blood processing and sensitive results obtained within 2.5 hours of blood collection. Termed as the “Biphasic” approach, we provide an alternative to blood processing where we rapidly dry the whole blood with pathogens to generate a dried blood matrix. Through a thermal lysis step, we generate a physical micro and nano fluidic network inside the dried blood matrix for polymerase to access the DNA and initiate amplification. In our platform, the dried blood does not take part in or mix with the reaction and acts as a substrate during the reaction where the inhibitory elements such as platelets, cells, and proteins are locked and remain as part of the substrate. This allows the fluorescent amplicons post-amplification to be concentrated in the clear supernatant phase, giving an extraordinary signal-to-noise and fluorescence change. When this biphasic approach is coupled with mechanical bead lysis for effective pathogen lysis, the limit of detection for detecting MRSA, E. coli, Candida ablicans in our platform was found to be 1.2cfu/ml. This biphasic concept was further translated to detect bacterial pathogens in complex food matrices such as ground beef where high amounts of protein, fats, and other inhibitors affect the sensitivity of the assay. Our biphasic approach allowed us to detection E. coli with an LOD of 33 cfu/g within 2.5 hours of sample collection without complicated instruments except for a heater and optical reader.
Furthermore, with the COVID19 pandemic in hand, we utilized our understanding of LAMP reactions on crude sample detecting SARS-CoV-2 viruses in crude nasopharyngeal swabs and saliva samples. Starting with primer design, we developed highly sensitive RT-LAMP based assays that can detect low copies of SARS-CoV-2 pathogen. We challenged ourselves to demonstrate even single-molecule detection of SARS-CoV-2 using a modified 2-step RT-LAMP process where only 2 primers are added during cDNA synthesis such that primer-dimer attachment is avoided and leads to single-molecule sensitivity. We have demonstrated our assays with clinical samples from OSF and Carle Hospital with high accuracy.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2023-05-01The student, Ariana Mostafa, accepted the attached license on 2021-03-29 at 11:22.The student, Ariana Mostafa, submitted this Dissertation for approval on 2021-03-29 at 11:23.This Dissertation was approved for publication on 2021-04-05 at 16:06.DSpace SAF Submission Ingestion Package generated from Vireo submission #16216 on 2021-09-16 at 20:07:51Made available in DSpace on 2021-09-17T04:04:05Z (GMT). No. of bitstreams: 2
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The Other Against the World: On the Fiction of Ariana Harwicz
No full textThis paper presents a critical analysis of the narrative of the writer Ariana Harwicz from a theoretical perspective based on Fredric Jameson´s studies on the political unconscious and literary ideology. The analysis is developed for the five novels produced by the author in the last ten years.Fil: Crespi, Gerardo Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones en Humanidades y Ciencias Sociales. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación. Instituto de Investigaciones en Humanidades y Ciencias Sociales; Argentina. Ministerio de Ciencia. Tecnología e Innovación Productiva. Agencia Nacional de Promoción Científica y Tecnológica; Argentin
Ariana Benson
No full textPublicity photo submitted by author/presenter for ODU\u27s Annual Literary Festival 2025.https://digitalcommons.odu.edu/litfest_images/1015/thumbnail.jp
El Tlacuache Núm. 340 (2008). 340 Año 9 (2008) noviembre. El Tlacuache
No full textChipilez, Síndrome de filiación cultural y su tratamiento en Coatetelco, Morelos por Nalleli Franco Mejía, Carolina Mendoza Rosales, Aidee Palacios Barrios, Ariana Rangel Oregon, Victoria Sandoval-Eslava. - Chipilez, Síndrome de filiación cultural y su tratamiento en Coatetelco, Morelos por Nalleli Franco Mejía, Carolina Mendoza Rosales, Aidee Palacios Barrios, Ariana Rangel Oregon, Victoria Sandoval-Eslava. - Patrimonio cultural en imágenes historia y fototeca
Pragmatic case study analyses of motivational interviewing with depressed Latinos
No full textRelatively little research has been conducted on improving adherence to treatment for Latino patients. Given the changing demands in the field of Latino mental health and the difficulties of treatment engagement and treatment retention with Latinos, finding effective mental health interventions is of utmost importance. The following study analyzes Motivational Interviewing (MI) techniques that have been used with depressed Latinos in an effort to increase their adherence to antidepressant medication and improve symptoms of depression. The analysis consists of a series of pragmatic case studies, which are intended to capture the contextual factors that contribute to either the success or failure of the MI intervention in facilitating medication compliance and that contribute to the manner in which psychological interventions can be adapted to special populations. The MI intervention involved two sessions delivered within a two-week time period and one booster session delivered approximately two months later. Throughout their participation in the study, participants were monitored with regard to their level of depression, motivation to adhere to their antidepressive medication treatment, and actual compliance in taking their antidepressant medication. In total, three subjects from the research study’s database were selected for case study analysis: one who was found to have a positive outcome, one who was found to have a negative outcome, and one who was found to have mixed results with the MI intervention. The results suggest that while Motivational Interviewing has the potential to work as a treatment-enhancing intervention, its success in producing behavioral change largely depends on how well the techniques are adjusted to the individual’s stage of change.Psy.DIncludes bibliographical referencesby Ariana Prawd
AN ANALYSIS ON CONNOTATIVE MEANING IN ARIANA GRANDE’S SONG IN THANK YOU NEXT ALBUM
No full textABSTRACT
This research discussed about connotative meanings in famous song
lyrics by Ariana Grande in Thank You Next album. The objective of
this research was to describe the connotative meaning presented by
Ariana Grande in her song lyrics and then find out the real meaning
based on the context of the song. This research was focused on
analysing the connotative meaning found in thank you next album.
This research was used descriptive qualitative method. There were
some steps in collecting data such as browse the song lyrics, watched,
and listened the song lyrics on Spotify, and do the analysis. The result
of this research is the researcher found that there are three types of
connotative meaning based on J.N. Hook Theory namely positive,
negative, and neutral. In this research conclude that from Ariana
Grande‟s song in Thank You Next Album, there are fifty seven data,
there are sixteen positive connotation, thirty two negative connotation,
and fourteen neutral connotation. Negative connotation is most widely
in this Album. From this analysis, the researcher found the message
that the author want to convey.
Keywords: Semantics, Connotative Meaning, Song, Lyrics
An Online Resource Repository for Training Faculty in Laulima: An Organization and Collaboration of Resources
No full textUniversity of Hawaii System adopted an open source course management system (CMS) and converted it to Laulima. The project idea started when campuses within the University of Hawaii System started having individualized resources and services on university CMS tools. A collaboration and organization of the resources and services from these campuses using a centralized online resource repository within the course management system, Laulima was the idea the project proposed.Online Course Management Systems (CMS) have become one of the most popular technologies in teaching and learning today. The University of Hawaii has recently adopted an open source CMS and created a customized version for the University called Laulima. Many campuses in the University of Hawaii System (UH) are duplicating efforts by individually developing resources and employing staff to support faculty use of Laulima. A needs analysis conducted by the author regarding faculty use of Laulima revealed difficulty in accessibility of resources, resource availability, redundancy of resource materials developed by multiple campuses, and the need for self-paced support that can be used after introductory workshops or instead of the lengthy workshops. The purpose of this project was to design, develop and evaluate the usability of an online repository of Laulima tutorials developed at multiple UH campuses and made available to faculty throughout the UH system. Faculty throughout the UH system will have access to the repository through the course management system Laulima and specified staff editors from participating UH campuses will be able to edit and upload the files and tutorials to the online repository. Faculty users, staff editors and Educational Technology graduate students learning how to design an online course using course management systems from the participating campuses evaluated the usability of the centralized online resource repository for a period of ten days. Evaluation data was collected via online surveys and the results indicated the interests of participants and the success of the idea of a centralized online repository. Findings are expected to be of significance to those interested in or developing centralized online collaborative systems
Field-programmable gate array platform for demonstrating embedded vision systems
No full textThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Cataloged from student-submitted PDF version of thesis.Includes bibliographical references (pages 73-75).This thesis presents an FPGA platform that can be used to enable real-time embedded vision systems, specifically object detection. Interfaces are built between the FPGA and a high definition (1980 x 1080) HDMI camera, an off-chip DRAM, an FMC connector, an SD Card, and an HDMI display. The interface processing includes debayering for the camera input, arbitration for DRAM, and object annotation for the display. The platform must also handle the different clock frequencies of various interfaces. Real-time object detection at 30 frames per second is demonstrated by either connecting the platform to an object detection ASIC via the FMC connector, or directly implementing the object detection RTL on the FPGA. Using this platform, ASICs developed in the Energy-Efficient Multimedia Systems lab can be verified and benchmarked on both live video via the HDMI camera as well as pre-recorded media via an SD Card. Finally, a post-processing filter has been implemented on the FPGA to reduce false positives and interpolate missed object detections by leveraging temporal correlations.by Ariana Eisenstein.M. Eng
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