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Full-Text Articles in Analytical, Diagnostic and Therapeutic Techniques and Equipment

The Cost-Effectiveness Of Neonatal Versus Prenatal Screening For Congenital Toxoplasmosis, Christine Binquet, Catherine Lejeune, Valérie Seror, François Peyron, Anne-Claire Bertaux, Olivier Scemama, Catherine Quantin, Sophie Béjean, Eileen Stillwaggon, Martine Wallon Sep 2019

The Cost-Effectiveness Of Neonatal Versus Prenatal Screening For Congenital Toxoplasmosis, Christine Binquet, Catherine Lejeune, Valérie Seror, François Peyron, Anne-Claire Bertaux, Olivier Scemama, Catherine Quantin, Sophie Béjean, Eileen Stillwaggon, Martine Wallon

Economics Faculty Publications

Congenital Toxoplasmosis (CT) can have severe consequences. France, Austria, and Slovenia have prenatal screening programs whereas some other countries are considering universal screening to reduce congenital transmission and severity of infection in children. The efficiency of such programs is debated increasingly as seroprevalence among pregnant women and incidence of congenital toxoplasmosis show a steady decrease. In addition, uncertainty remains regarding the effectiveness of pre- and postnatal treatments.


Identifying Depression In The National Health And Nutrition Examination Survey Data Using A Deep Learning Algorithm, Jihoon Oh, Kyongsik Yun, Uri Maoz, Tae-Suk Kim, Jeong-Ho Chae Jul 2019

Identifying Depression In The National Health And Nutrition Examination Survey Data Using A Deep Learning Algorithm, Jihoon Oh, Kyongsik Yun, Uri Maoz, Tae-Suk Kim, Jeong-Ho Chae

Psychology Faculty Articles and Research

Background

As depression is the leading cause of disability worldwide, large-scale surveys have been conducted to establish the occurrence and risk factors of depression. However, accurately estimating epidemiological factors leading up to depression has remained challenging. Deep-learning algorithms can be applied to assess the factors leading up to prevalence and clinical manifestations of depression.

Methods

Customized deep-neural-network and machine-learning classifiers were assessed using survey data from 19,725 participants from the NHANES database (from 1999 through 2014) and 4949 from the South Korea NHANES (K-NHANES) database in 2014.

Results

A deep-learning algorithm showed area under the receiver operating characteristic curve (AUCs) …


A Rapid Viability And Drug‑Susceptibility Assay Utilizing Mycobacteriophage As An Indicator Of Drug Susceptibilities Of Anti‑Tb Drugs Against Mycobacterium Smegmatis Mc2 155, Gillian Catherine Crowley, Jim O'Mahony, Aidan Coffey, Riona G. Sayers, Paul D. Cotter Jun 2019

A Rapid Viability And Drug‑Susceptibility Assay Utilizing Mycobacteriophage As An Indicator Of Drug Susceptibilities Of Anti‑Tb Drugs Against Mycobacterium Smegmatis Mc2 155, Gillian Catherine Crowley, Jim O'Mahony, Aidan Coffey, Riona G. Sayers, Paul D. Cotter

Department of Biological Sciences Publications

Background: A rapid in-house TM4 mycobacteriophage-based assay, to identify multidrug resistance against various anti-tuberculosis drugs, using the fast-growing Mycobacterium smegmatis mc2 155 in a microtiter plate format was evaluated, based on phage viability assays. Methods: A variety of parameters were optimized before the study including the minimum incubation time for the drugs, phage and M. smegmatis mc2 155 to be in contact. An increase in phage numbers over 2 h was indicative that M. smegmatis mc2 155 is resistant to the drugs under investigation, however when phage numbers remained static, M. smegmatis mc2 155 found to …


Nebraska Prevention Center For Alcohol And Drug Abuse — Bibliography Of Publications, Michelle R. Maas, Ian Newman Jun 2019

Nebraska Prevention Center For Alcohol And Drug Abuse — Bibliography Of Publications, Michelle R. Maas, Ian Newman

Department of Educational Psychology: Faculty Publications

Approximately 85 citations, with links, of published reseach papers by personnel of the Nebraska Prevention Center for Alcohol and Drug Abuse, 1970-2019.


Seeing Eye To Eye: A Machine Learning Approach To Automated Saccade Analysis, Maigh Attre May 2019

Seeing Eye To Eye: A Machine Learning Approach To Automated Saccade Analysis, Maigh Attre

Honors Scholar Theses

Abnormal ocular motility is a common manifestation of many underlying pathologies particularly those that are neurological. Dynamics of saccades, when the eye rapidly changes its point of fixation, have been characterized for many neurological disorders including concussions, traumatic brain injuries (TBI), and Parkinson’s disease. However, widespread saccade analysis for diagnostic and research purposes requires the recognition of certain eye movement parameters. Key information such as velocity and duration must be determined from data based on a wide set of patients’ characteristics that may range in eye shapes and iris, hair and skin pigmentation [36]. Previous work on saccade analysis has …


Parameterizing And Validating Existing Algorithms For Identifying Out-Of-Bed Time Using Hip-Worn Accelerometer Data From Older Women, John Belletierre, Yiliang Zhang, Vincent Berardi, Kelsie M. Full, Jacqueline Kerr, Michael J. Lamonte, Kelly R. Evenson, Melbourne Hovell, Andrea Z. Lacroix, Chongzhi Di Apr 2019

Parameterizing And Validating Existing Algorithms For Identifying Out-Of-Bed Time Using Hip-Worn Accelerometer Data From Older Women, John Belletierre, Yiliang Zhang, Vincent Berardi, Kelsie M. Full, Jacqueline Kerr, Michael J. Lamonte, Kelly R. Evenson, Melbourne Hovell, Andrea Z. Lacroix, Chongzhi Di

Psychology Faculty Articles and Research

Objective: To parameterize and validate two existing algorithms for identifying out-of-bed time using 24-hour hip-worn accelerometer data from older women. Approach: Overall, 628 women (80±6 years old) wore ActiGraph GT3X+ accelerometers 24 hours/day for up to 7 days and concurrently completed sleep-logs. Trained staff used a validated visual analysis protocol to measure in-bed periods on accelerometer tracings (criterion). The Tracy and McVeigh algorithms were adapted for optimal use in older adults. A training set of 314 women was used to choose two key thresholds by maximizing the sum of sensitivity and specificity for each algorithm and data (vertical axis, VA, …


Changing Healthcare Provider And Parent Behaviors In The Pediatric Post‐Anesthesia‐Care‐Unit To Reduce Child Pain: Nurse And Parent Training In Postoperative Stress (Np‐Tips), Brooke N. Jenkins, Michelle Fortier, Robert S. Stevenson, Mai Makhlouf, Paulina Lim, Remy Converse, Zeev N. Kain Apr 2019

Changing Healthcare Provider And Parent Behaviors In The Pediatric Post‐Anesthesia‐Care‐Unit To Reduce Child Pain: Nurse And Parent Training In Postoperative Stress (Np‐Tips), Brooke N. Jenkins, Michelle Fortier, Robert S. Stevenson, Mai Makhlouf, Paulina Lim, Remy Converse, Zeev N. Kain

Psychology Faculty Articles and Research

Background

Children who undergo surgery experience significant pain in the post anesthesia care unit. Nurse and parent behaviors in the post anesthesia care unit directly impact child postoperative pain. Therefore, we have developed and evaluated (Phase 1) and then tested (Phase 2) the feasibility of a new intervention (Nurse and Parent Training in Postoperative Stress) to alter parent and nurse behaviors in a way consistent with reducing child postoperative pain.

Methods

In Phase 1, a multidisciplinary team of experts (physicians, nurses, and psychologists) developed an empirically‐based intervention which was then evaluated by experienced nurses (N = 8) and parents …


New Internal Medicine Residency Program At A Community Hospital Improves Mortality Without Increasing The Cost Or Length Of Stay: A Two-Year Follow Up., Javad Savoj, Christine Mikhail, Rajesh Gulati, Napatkamon Ayutyanont, Alina Popa Mar 2019

New Internal Medicine Residency Program At A Community Hospital Improves Mortality Without Increasing The Cost Or Length Of Stay: A Two-Year Follow Up., Javad Savoj, Christine Mikhail, Rajesh Gulati, Napatkamon Ayutyanont, Alina Popa

Teaching & Learning

Opening new residency programs in community hospitals is one strategy to address to address physician shortage. Previous reports have shown better mortality outcomes in university based hospitals. However, less is known about teaching community hospitals. Disrupting well-established workflows in community hospitals is feared to cause an increased cost and possibly a slide in quality of care. Our aim was to assess the impact of starting a new Internal Medicine residency program in a Graduate Medical Education (GME) naive community hospital.


Serological Proteomic Screening And Evaluation Of A Recombinant Egg Antigen For The Diagnosis Of Low-Intensity Schistosoma Mansoni Infections In Endemic Area In Brazil, Vanessa Silva-Moraes, Lisa Marie Shollenberger, William Castro-Borges, Ana Lucia Teles Rabello, Donald A. Harn, Lia Carolina Soares Medeiros, Wander De Jesus Jeremias, Liliane Maria Vidal Siqueira, Caroline Stephane Salviano Pereira, Maria Luysa Camargos Pedrosa, Nathalie Bonatti Franco Almeida, Aureo Almeida, Jose Roberto Lambertucci, Nidia Francisca De Figueiredo Carneiro, Paulo Marcos Zech Coelho, Refaella Fortini Queiroz Grenfell Jan 2019

Serological Proteomic Screening And Evaluation Of A Recombinant Egg Antigen For The Diagnosis Of Low-Intensity Schistosoma Mansoni Infections In Endemic Area In Brazil, Vanessa Silva-Moraes, Lisa Marie Shollenberger, William Castro-Borges, Ana Lucia Teles Rabello, Donald A. Harn, Lia Carolina Soares Medeiros, Wander De Jesus Jeremias, Liliane Maria Vidal Siqueira, Caroline Stephane Salviano Pereira, Maria Luysa Camargos Pedrosa, Nathalie Bonatti Franco Almeida, Aureo Almeida, Jose Roberto Lambertucci, Nidia Francisca De Figueiredo Carneiro, Paulo Marcos Zech Coelho, Refaella Fortini Queiroz Grenfell

Biological Sciences Faculty Publications

Background

Despite decades of use of control programs, schistosomiasis remains a global public health problem. To further reduce prevalence and intensity of infection, or to achieve the goal of elimination in low-endemic areas, there needs to be better diagnostic tools to detect low-intensity infections in low-endemic areas in Brazil. The rationale for development of new diagnostic tools is that the current standard test Kato-Katz (KK) is not sensitive enough to detect low-intensity infections in low-endemic areas. In order to develop new diagnostic tools, we employed a proteomics approach to identify biomarkers associated with schistosome-specific immune responses in hopes of developing …


Diagnosis Of Schistosoma Mansoni Infections: What Are The Choices In Brazilian Low-Endemic Areas?, Vanessa Silva-Moraes, Lisa M. Shollenberger, Liliane Maria Vidal Siqueira, William Castro-Borges, Donald A. Harn, Rafaella Fortini Queiroz E. Grenfell, Ana Lucia Teles Rabello, Paulo Marcos Zech Coelho Jan 2019

Diagnosis Of Schistosoma Mansoni Infections: What Are The Choices In Brazilian Low-Endemic Areas?, Vanessa Silva-Moraes, Lisa M. Shollenberger, Liliane Maria Vidal Siqueira, William Castro-Borges, Donald A. Harn, Rafaella Fortini Queiroz E. Grenfell, Ana Lucia Teles Rabello, Paulo Marcos Zech Coelho

Biological Sciences Faculty Publications

The population of Brazil is currently characterised by many individuals harbouring low-intensity Schistosoma mansoni infections. The Kato-Katz technique is the diagnostic method recommended by the World Health Organization (WHO) to assess these infections, but this method is not sensitive enough in the context of low egg excretion. In this regard, potential alternatives are being employed to overcome the limits of the Kato-Katz technique. In the present review, we evaluated the performance of parasitological and immunological approaches adopted in Brazilian areas. Currently, the diagnostic choices involve a combination of strategies, including the utilisation of antibody methods to screen individuals and then …