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Articles 671221 - 671250 of 5207352

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Aptamer Functionalized Zno Thin-Film Transistor Based Multiplexed Detection Of Pb And E. Coli In Water, Sk Honnali, Raghavan V Srinivasa, R Ashwath, G Saravanavel, Kr Gunasekhar, S Sambandan, Ss Gorthi, B O'Driscoll, D Jenkins Sep 2022

Aptamer Functionalized Zno Thin-Film Transistor Based Multiplexed Detection Of Pb And E. Coli In Water, Sk Honnali, Raghavan V Srinivasa, R Ashwath, G Saravanavel, Kr Gunasekhar, S Sambandan, Ss Gorthi, B O'Driscoll, D Jenkins

School of Engineering, Computing and Mathematics

No abstract provided.

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Autoaggregation Ability Of Diarrheal Causative Bacteria Isolated From Iraqi Children, Shahad Rashad Hameed Sep 2022

Autoaggregation Ability Of Diarrheal Causative Bacteria Isolated From Iraqi Children, Shahad Rashad Hameed

Muthanna Medical Journal

Stool samples were collected from 100 children patient aged between 3 days to 11 years who suffered from diarrhoea to isolate diarrheal causative bacteria. Fifty-one isolates were isolated and identified by cultural, microscopical, biochemical tests, and Vitek 2 system. The isolates were distributed as: 46 isolates belonged to Escherichia coli, 4 isolates belonged to Shigella sonnei, and one isolate belonged to Providencia alcalifaciens. All isolates were tested for antibiotic susceptibility to 10 different antibiotics and autoaggregation ability. All isolates were revealed resistant to Metronidazole while they were sensitive to Imipenem except one isolate of E. coli showed resistance to it. …

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On A Novel Approach To The Thermogravimetric Analysis Of Polymers: Polystyrene, Mircea Chipara, Karen Lozano, Dorina M. Chipara, Carlos Delgado, Victoria Padilla Sep 2022

On A Novel Approach To The Thermogravimetric Analysis Of Polymers: Polystyrene, Mircea Chipara, Karen Lozano, Dorina M. Chipara, Carlos Delgado, Victoria Padilla

Physics & Astronomy Faculty Publications

A novel equation that describes the temperature dependence of the residual mass fraction (as determined by thermogravimetric analysis) is derived, assuming that the dependence of the residual mass fraction on temperature has a sigmoidal shape. The equation allows the estimation of the sigmoidal activation energy solely from the experimental data at a single heating rate. The consistency with the isoconversional approach and the relationship between the Ozawa and sigmoidal activation energies are reported. The equation was successfully tested by the thermal degradation of atactic polystyrene at various heating rates. Both the thermograms and their derivatives are analyzed in detail.

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Islet Primary Cilia Motility Controls Insulin Secretion, Jung Hoon Cho, Zipeng A Li, Lifei Zhu, Brian D Muegge, Henry F Roseman, Eun Young Lee, Toby Utterback, Louis G Woodhams, Philip V Bayly, Jing W Hughes Sep 2022

Islet Primary Cilia Motility Controls Insulin Secretion, Jung Hoon Cho, Zipeng A Li, Lifei Zhu, Brian D Muegge, Henry F Roseman, Eun Young Lee, Toby Utterback, Louis G Woodhams, Philip V Bayly, Jing W Hughes

2020-Current year OA Pubs

Primary cilia are specialized cell-surface organelles that mediate sensory perception and, in contrast to motile cilia and flagella, are thought to lack motility function. Here, we show that primary cilia in human and mouse pancreatic islets exhibit movement that is required for glucose-dependent insulin secretion. Islet primary cilia contain motor proteins conserved from those found in classic motile cilia, and their three-dimensional motion is dynein-driven and dependent on adenosine 5'-triphosphate and glucose metabolism. Inhibition of cilia motion blocks beta cell calcium influx and insulin secretion. Human beta cells have enriched ciliary gene expression, and motile cilia genes are altered in …

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Leading The Way: Competencies Of Leadership To Prevent Mis-Implementation Of Public Health Programs, Sarah Moreland-Russell, Louise Farah Saliba, Emily Rodriguez Weno, Romario Smith, Margaret Padek, Ross C Brownson Sep 2022

Leading The Way: Competencies Of Leadership To Prevent Mis-Implementation Of Public Health Programs, Sarah Moreland-Russell, Louise Farah Saliba, Emily Rodriguez Weno, Romario Smith, Margaret Padek, Ross C Brownson

2020-Current year OA Pubs

Public health agencies are increasingly concerned with ensuring that they are maximizing limited resources by delivering effective programs to enhance population-level health outcomes. Preventing mis-implementation (ending effective activities prematurely or continuing ineffective ones) is necessary to sustain public health efforts and resources needed to improve health and well-being. The purpose of this paper is to identify the important qualities of leadership in preventing mis-implementation of public health programs. In 2019, 45 state health department chronic disease employees were interviewed via phone and audio-recorded, and the conversations were transcribed verbatim. Thematic analysis focused on items related to mis-implementation and the manners …

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Vodka-Assisted Extraction, E. Mccoll, R. Witton, A. Mathews Sep 2022

Vodka-Assisted Extraction, E. Mccoll, R. Witton, A. Mathews

Peninsula Dental School

No abstract provided.

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Quantification Of Ovarian Lesion And Fallopian Tube Vasculature Using Optical-Resolution Photoacoustic Microscopy, Xiandong Leng, Sitai Kou, Yixiao Lin, Andrea R Hagemann, Ian S Hagemann, Premal H Thaker, Lindsay M Kuroki, Carolyn K Mccourt, David G Mutch, Cary Siegel, Matthew A Powell, Quing Zhu Sep 2022

Quantification Of Ovarian Lesion And Fallopian Tube Vasculature Using Optical-Resolution Photoacoustic Microscopy, Xiandong Leng, Sitai Kou, Yixiao Lin, Andrea R Hagemann, Ian S Hagemann, Premal H Thaker, Lindsay M Kuroki, Carolyn K Mccourt, David G Mutch, Cary Siegel, Matthew A Powell, Quing Zhu

2020-Current year OA Pubs

The heterogeneity in the pathological and clinical manifestations of ovarian cancer is a major hurdle impeding early and accurate diagnosis. A host of imaging modalities, including Doppler ultrasound, MRI, and CT, have been investigated to improve the assessment of ovarian lesions. We hypothesized that pathologic conditions might affect the ovarian vasculature and that these changes might be detectable by optical-resolution photoacoustic microscopy (OR-PAM). In our previous work, we developed a benchtop OR-PAM and demonstrated it on a limited set of ovarian and fallopian tube specimens. In this study, we collected data from over 50 patients, supporting a more robust statistical …

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Parole Interview Transcript/Decision - Fusl000115 (2011-11-08) Sep 2022

Parole Interview Transcript/Decision - Fusl000115 (2011-11-08)

Parole Interview Transcripts and Decisions

No abstract provided.

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Parole Interview Transcript/Decision - Fusl000115 (2017-05-23) Sep 2022

Parole Interview Transcript/Decision - Fusl000115 (2017-05-23)

Parole Interview Transcripts and Decisions

No abstract provided.

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Parole Interview Transcript/Decision - Fusl000115 (2018-01-23) Sep 2022

Parole Interview Transcript/Decision - Fusl000115 (2018-01-23)

Parole Interview Transcripts and Decisions

No abstract provided.

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Parole Interview Transcript/Decision - Fusl000115 (2018-11-13) Sep 2022

Parole Interview Transcript/Decision - Fusl000115 (2018-11-13)

Parole Interview Transcripts and Decisions

No abstract provided.

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Parole Interview Transcript/Decision - Fusl000117 (2018-10-09) Sep 2022

Parole Interview Transcript/Decision - Fusl000117 (2018-10-09)

Parole Interview Transcripts and Decisions

No abstract provided.

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Parole Interview Transcript/Decision - Fusl000119 (2016-11-15) Sep 2022

Parole Interview Transcript/Decision - Fusl000119 (2016-11-15)

Parole Interview Transcripts and Decisions

No abstract provided.

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Parole Interview Transcript/Decision - Fusl000121 (2018-10-09) Sep 2022

Parole Interview Transcript/Decision - Fusl000121 (2018-10-09)

Parole Interview Transcripts and Decisions

No abstract provided.

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Parole Interview Transcript/Decision - Fusl000123 (2018-05-23) Sep 2022

Parole Interview Transcript/Decision - Fusl000123 (2018-05-23)

Parole Interview Transcripts and Decisions

No abstract provided.

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Parole Interview Transcript/Decision - Fusl000124 (2017-01-10) Sep 2022

Parole Interview Transcript/Decision - Fusl000124 (2017-01-10)

Parole Interview Transcripts and Decisions

No abstract provided.

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Parole Interview Transcript/Decision - Fusl000125 (2017-07-26) Sep 2022

Parole Interview Transcript/Decision - Fusl000125 (2017-07-26)

Parole Interview Transcripts and Decisions

No abstract provided.

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Parole Interview Transcript/Decision - Fusl000130 (2021-02-23) Sep 2022

Parole Interview Transcript/Decision - Fusl000130 (2021-02-23)

Parole Interview Transcripts and Decisions

No abstract provided.

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Parole Interview Transcript/Decision - Fusl000133 (2021-03-24) Sep 2022

Parole Interview Transcript/Decision - Fusl000133 (2021-03-24)

Parole Interview Transcripts and Decisions

No abstract provided.

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Device Health Seamless Check By Pcm, Hp Inc Sep 2022

Device Health Seamless Check By Pcm, Hp Inc

Defensive Publications Series

During notebook user daily working, user requires to execute specific check utilities to examine their system or device health. Usually, user always was the last one to aware their system or device got something wrong while they encountered “can’t power on” or “can’t recognize SSD” showing up. System or Device decay is unavoidable while user operates notebook, so it is very important to have alert before system or device really crash, so that user it capable to do some actions (ex. data backup) before notebook can’t work normally. It is annoying thing to do Data Recovery when notebook can’t power …

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A Health Guard For Vr Gamer, Hp Inc Sep 2022

A Health Guard For Vr Gamer, Hp Inc

Defensive Publications Series

VR gaming is high concertation and immerse, so people is easy to forget his physical conditions. We usually got news that persons get sudden faint due to epilepsy or some dangerous physical condition while in metaverse. For this, we provide a health monitor and a method to help to protect user while he/she is in Metaverse. We detect local epileptic responses by measuring changes in the sympathetic nerve and body hormones and ions including adrenal corticosteroid, sodium ions, potassium ions and from the indicator to provide one algorithm to trigger the mitigate method to protect the user.

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Pc System Alarm Mechanism, Hp Inc Sep 2022

Pc System Alarm Mechanism, Hp Inc

Defensive Publications Series

PC systems are often placed unguarded and can easily become victims of theft. This invention utilizes the commonly seen features on PC systems (PC beep, G-sensor, and network function) to improve PC systems’ security and protection. PC systems are monitored remotely by IT center through network. When a PC system is physically removed from network, security will be informed, and the PC system will sound alarm. The implementation of this invention into current PC system design is inexpensive. Little HW modification is required. Previous anti-theft protection methods mostly only consider locking PC system to its original position. This invention informs …

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Phishing Detection Using Natural Language Processing And Machine Learning, Apurv Mittal, Dr Daniel Engels, Harsha Kommanapalli, Ravi Sivaraman, Taifur Chowdhury Sep 2022

Phishing Detection Using Natural Language Processing And Machine Learning, Apurv Mittal, Dr Daniel Engels, Harsha Kommanapalli, Ravi Sivaraman, Taifur Chowdhury

SMU Data Science Review

Phishing emails are a primary mode of entry for attackers into an organization. A successful phishing attempt leads to unauthorized access to sensitive information and systems. However, automatically identifying phishing emails is often difficult since many phishing emails have composite features such as body text and metadata that are nearly indistinguishable from valid emails. This paper presents a novel machine learning-based framework, the DARTH framework, that characterizes and combines multiple models, with one model for each composite feature, that enables the accurate identification of phishing emails. The framework analyses each composite feature independently utilizing a multi-faceted approach using Natural Language …

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Classification Of Breast Cancer Histopathological Images Using Semi-Supervised Gans, Balaji Avvaru, Nibhrat Lohia, Sowmya Mani, Vijayasrikanth Kaniti Sep 2022

Classification Of Breast Cancer Histopathological Images Using Semi-Supervised Gans, Balaji Avvaru, Nibhrat Lohia, Sowmya Mani, Vijayasrikanth Kaniti

SMU Data Science Review

Breast cancer is diagnosed more frequently than skin cancer in women in the United States. Most breast cancer cases are diagnosed in women, while children and men are less likely to develop the disease. Various tissues in the breast grow uncontrollably, resulting in breast cancer. Different treatments analyze microscopic histopathology images for diagnosis that help accurately detect cancer cells. Deep learning is one of the evolving techniques to classify images where accuracy depends on the volume and quality of labeled images. This study used various pre-trained models to train the histopathological images and analyze these models to create a new …

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Short Term Forecasting Of Solar Radiation, Ashwin Thota, Bradley Blanchard, Lijju Mathew, Paritosh Rai, Sid Swarupananda Sep 2022

Short Term Forecasting Of Solar Radiation, Ashwin Thota, Bradley Blanchard, Lijju Mathew, Paritosh Rai, Sid Swarupananda

SMU Data Science Review

This paper details how to predict solar radiation at a location for the next few hours using machine learning techniques like Facebook’s Prophet, and Amazon’s DeepAR+. Multiple techniques like AutoRegressive (ARIMA) and Exponential Smoothing (ES) have been used to forecast solar radiation, but they lack accuracy and are not scalable. Whereas Prophet, and Amazon’s DeepAR+ are scalable, accurate, and easily integrated into other machine learning techniques. This will be the first time where the combination of these techniques along with Linear Regression, Random Forest, XGBoost and Decision Tree will be leveraged to forecast solar radiation for the short term. Predicting …

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Using Natural Language Processing To Increase Modularity And Interpretability Of Automated Essay Evaluation And Student Feedback, Chris Roche, Nathan Deinlein, Darryl Dawkins, Faizan Javed Sep 2022

Using Natural Language Processing To Increase Modularity And Interpretability Of Automated Essay Evaluation And Student Feedback, Chris Roche, Nathan Deinlein, Darryl Dawkins, Faizan Javed

SMU Data Science Review

For English teachers and students who are dissatisfied with the one-size-fits-all approach of current Automated Essay Scoring (AES) systems, this research uses Natural Language Processing (NLP) techniques that provide a focus on configurability and interpretability. Unlike traditional AES models which are designed to provide an overall score based on pre-trained criteria, this tool allows teachers to tailor feedback based upon specific focus areas. The tool implements a user-interface that serves as a customizable rubric. Students’ essays are inputted into the tool either by the student or by the teacher via the application’s user-interface. Based on the rubric settings, the tool …

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Stock Forecasts With Lstm And Web Sentiment, Michael Burgess, Faizan Javed, Nnenna Okpara, Chance Robinson Sep 2022

Stock Forecasts With Lstm And Web Sentiment, Michael Burgess, Faizan Javed, Nnenna Okpara, Chance Robinson

SMU Data Science Review

Traditional time-series techniques, such as auto-regressive and moving average models, can have difficulties when applied to stock data due to the randomness inherent to the markets. In this study, Long Short-Term Memory Recurrent Neural Networks, or LSTMs, have been applied to pricing data along with sentiment scores derived from web sources such as Twitter and other financial media outlets. The project team utilized this approach to complement the technical indicators observed at the end of each trading day for three stocks from the NASDAQ stock exchange over a 12-year span. A common benchmark to assess model performance on time series …

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Predicting Insulin Pump Therapy Settings, Riccardo L. Ferraro, David Grijalva, Alex Trahan Sep 2022

Predicting Insulin Pump Therapy Settings, Riccardo L. Ferraro, David Grijalva, Alex Trahan

SMU Data Science Review

Millions of people live with diabetes worldwide [7]. To mitigate some of the many symptoms associated with diabetes, an estimated 350,000 people in the United States rely on insulin pumps [17]. For many of these people, how effectively their insulin pump performs is the difference between sleeping through the night and a life threatening emergency treatment at a hospital. Three programmed insulin pump therapy settings governing effective insulin pump function are: Basal Rate (BR), Insulin Sensitivity Factor (ISF), and Carbohydrate Ratio (ICR). For many people using insulin pumps, these therapy settings are often not correct, given their physiological needs. While …

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Classification Of Pixel Tracks To Improve Track Reconstruction From Proton-Proton Collisions, Kebur Fantahun, Jobin Joseph, Halle Purdom, Nibhrat Lohia Sep 2022

Classification Of Pixel Tracks To Improve Track Reconstruction From Proton-Proton Collisions, Kebur Fantahun, Jobin Joseph, Halle Purdom, Nibhrat Lohia

SMU Data Science Review

In this paper, machine learning techniques are used to reconstruct particle collision pathways. CERN (Conseil européen pour la recherche nucléaire) uses a massive underground particle collider, called the Large Hadron Collider or LHC, to produce particle collisions at extremely high speeds. There are several layers of detectors in the collider that track the pathways of particles as they collide. The data produced from collisions contains an extraneous amount of background noise, i.e., decays from known particle collisions produce fake signal. Particularly, in the first layer of the detector, the pixel tracker, there is an overwhelming amount of background noise that …

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Cov-Inception: Covid-19 Detection Tool Using Chest X-Ray, Aswini Thota, Ololade Awodipe, Rashmi Patel Sep 2022

Cov-Inception: Covid-19 Detection Tool Using Chest X-Ray, Aswini Thota, Ololade Awodipe, Rashmi Patel

SMU Data Science Review

Since the pandemic started, researchers have been trying to find a way to detect COVID-19 which is a cost-effective, fast, and reliable way to keep the economy viable and running. This research details how chest X-ray radiography can be utilized to detect the infection. This can be for implementation in Airports, Schools, and places of business. Currently, Chest imaging is not a first-line test for COVID-19 due to low diagnostic accuracy and confounding with other viral pneumonia. Different pre-trained algorithms were fine-tuned and applied to the images to train the model and the best model obtained was fine-tuned InceptionV3 model …

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