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1. The Relationship between the Implementation of Response to Intervention and Students' Achievement on Eighth Grade Minnesota Comprehensive Assessments

Author

Rooney, Ann M.

Abstract

The purpose of this research study was to determine if there is a relationship between the implementation phase of Response to Intervention (RTI), an academic multi-tiered system of support, and eighth grade students' mathematics, reading, and science Minnesota Comprehensive Assessments (MCAs) proficiency achievement. Data for this study were collected using a RTI phase survey sent via Qualtrics to Minnesota middle school principals and publicly accessible MCA proficiency data via the Minnesota Department of Education (MDE) website. The researcher analyzed data using the Statistical Package of the Social Sciences (SPSS). Each principal's survey response was aligned with the school's eighth grade students' achievement results as measured by the MCAs. A Pearson r analysis was completed to determine if a relationship existed between the variables. There was no statistically significant (p > 0.05) relationship between implementation stages of RTI and eighth grade students' mathematics and science MCA proficiency achievement in Minnesota middle schools. There was a statistically significant (p < 0.05) and positive relationship between the implementation phase and eighth grade students' reading MCA proficiency achievement in Minnesota middle schools. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]

Published
2022

3. Using trained dogs and organic semi-conducting sensors to identify asymptomatic and mild SARS-CoV-2 infections: an observational study

Author

Guest, Claire, Dewhirst, Sarah Y, Lindsay, Steve W, Allen, David J, Aziz, Sophie, Baerenbold, Oliver, Bradley, John, Chabildas, Unnati, Chen-Hussey, Vanessa, Clifford, Samuel, Cottis, Luke, Dennehy, Jessica, Foley, Erin, Gezan, Salvador A, Gibson, Tim, Greaves, Courtenay K, Kleinschmidt, Immo, Lambert, Sébastien, Last, Anna, Morant, Steve, Parker, Josephine E A, Pickett, John, Quilty, Billy J, Rooney, Ann, Shah, Manil, Somerville, Mark, Squires, Chelci, Walker, Martin, Logan, James G, Jones, Robert, Assis, Ana, Borthwick, Ewan, Caton, Laura, Edwards, Rachel, Heal, Janette, Hill, David, Jahan, Nazifa, Johnson, Cecelia, Kaye, Angela, Kirkpatrick, Emily, Kisha, Sarah, Ledeatte Williams, Zaena, Moar, Robert, Owonibi, Tolulope, Purcell, Benjamin, Rixson, Christopher, Spencer, Freya, Stefanidis, Anastasios, Stewart, Sophie, Tytheridge, Scott, Wakley, Sian, Wildman, Shanice, Aziz, Catherine, Care, Helen, Curtis, Emily, Dowse, Claire, Makepeace, Alan, Oultram, Sally-Anne, Smith, Jayde, Shenton, Fiona, Hutchins, Harry, Mart, Robert, Cartwright, Jo-anne, Forsey, Miranda, Goodsell, Kerry, Kittridge, Lauren, Nicholson, Anne, Ramos, Angelo, Ritches, Joanne, Setty, Niranjan, Vertue, Mark, Bergstrom, Malin, Chaudhary, Zain, De Wilton, Angus, Gaskell, Kate, Houlihan, Catherine, Jones, Imogen, Margaritis, Marios, Miralhes, Patricia, Owens, Leah, Rampling, Tommy, Rickman, Hannah, Boffito, Marta, Fernandez, Candida, Cotterell, Bryony, Guerdette, Anne-Marie, Tsaknis, George, Turns, Margaret, Walsh, Joanne, Frankland, Lisa, West, Raha, Holland, Maureen, Keenan, Natalie, Wassall, Helen, Young, Megan, Rangeley, Jade, Saalmink, Gwendolyn, Adlakha, Sanjay, Buckley, Philip, Allsop, Lynne, Smith, Susan, Sowter, Donna, Campbell, Alison, Jones, Julie, Laird, Steve, O’Toole, Sarah, Ryan, Courteney, Evans, Jessica, Rand, James, Schumacher, Natasha, Hazelton, Tracey, Dodgson, Andrew, Glasgow, Susannah, Kadiu, Denise, Lopuszansky, Orianne, Oommen, Anu, Prabhu, Joshi, Pursell, Molly, Turner, Jane, Walton, Hollie, Andrews, Robert, Cruickshank, Irena, Thompson, Catherine, Wainwright, Tania, Roebuck, Alun, Lawrence, Tara, Netherton, Kimberley, Hewitt, Claire, Shephardson, Sarah, Crasto, Winston Andrew, Lake, Judith, Musanhu, Rosemary, Walker, Rebecca, Burns, Karen, Higham, Andrew, Le Bas, Julie, Mackenzie, Nicola, Thatcher, Hilary, Beadle, Shannen, Buckley, Sarah, Castle, Gail, Fletcher, Aimee, Holbrook, Sara, Kane, Patricia, Lindley, Kate, Lowry, Tracey, Lupton, Stephanie, Oddy, Sharon, Slater, Lynda, Sylvester, Martin, Agwuh, Kenneth, Maxwell, Veronica, Ryder, Stephen, Topham, Kirsty, Egbuniwe, Obi, Matthews, Rebecca, Arenas-Pinto, Alejandro, Prymas, Paulina, Severn, Abigail, Shaw, Amber, Begum, Safia, Lenton, Daniel, Scriven, James, Leeman, Lucy, Rudge, Karen, Storr, Emma, Alvarez, Ana, Forster, Kate, Hind, Daniel, Cook, Natalie, Peeling, Rosanna, Carey, Peter, Wilson, Anne, and Davis, Jane

Subjects
Volatile Organic Compounds, Dogs, SARS-CoV-2, fungi, Animals, COVID-19, Humans, Mass Screening, General Medicine, Asymptomatic Infections, Sensitivity and Specificity
Abstract

Background A rapid, accurate, non-invasive diagnostic screen is needed to identify people with SARS-CoV-2 infection. We investigated whether organic semi-conducting (OSC) sensors and trained dogs could distinguish between people infected with asymptomatic or mild symptoms, and uninfected individuals, and the impact of screening at ports-of-entry. Methods Odour samples were collected from adults, and SARS-CoV-2 infection status confirmed using RT-PCR. OSC sensors captured the volatile organic compound (VOC) profile of odour samples. Trained dogs were tested in a double-blind trial to determine their ability to detect differences in VOCs between infected and uninfected individuals, with sensitivity and specificity as the primary outcome. Mathematical modelling was used to investigate the impact of bio-detection dogs for screening. Results About, 3921 adults were enrolled in the study and odour samples collected from 1097 SARS-CoV-2 infected and 2031 uninfected individuals. OSC sensors were able to distinguish between SARS-CoV-2 infected individuals and uninfected, with sensitivity from 98% (95% CI 95–100) to 100% and specificity from 99% (95% CI 97–100) to 100%. Six dogs were able to distinguish between samples with sensitivity ranging from 82% (95% CI 76–87) to 94% (95% CI 89–98) and specificity ranging from 76% (95% CI 70–82) to 92% (95% CI 88–96). Mathematical modelling suggests that dog screening plus a confirmatory PCR test could detect up to 89% of SARS-CoV-2 infections, averting up to 2.2 times as much transmission compared to isolation of symptomatic individuals only. Conclusions People infected with SARS-CoV-2, with asymptomatic or mild symptoms, have a distinct odour that can be identified by sensors and trained dogs with a high degree of accuracy. Odour-based diagnostics using sensors and/or dogs may prove a rapid and effective tool for screening large numbers of people. Trial Registration NCT04509713 (clinicaltrials.gov).

Published
2022

5. An interdisciplinary mental health consultation team in a nursing home

Author

Joseph, Carol, Goldsmith, Sohyon, Rooney, Ann, McWhorter, Karen, and Ganzini, Linda

Subjects
Psychiatric consultation -- Innovations, Nursing homes -- Management, Health, Seniors
Abstract

The Mental Health Consultation Team (MHCT) at the Portland Veterans Affairs Medical Center nursing home is an interdisciplinary group of mental health professionals and primary care providers established to triage mental health consultations, improve communication between consultants and primary care providers, help staff translate consultants' recommendations into patient care, and furnish education in the management of mental health problems. The MHCT has decreased the demands for formal psychiatry and psychology consultations while increasing mental health services through innovative use of existing staff. Key Words: interdisciplinary team, Mental health, Nursing home

Published
1995

7. Re teachers' meeting

Author

Rooney, Ann

Abstract

(Hall 1956/59) On June 1, 2006, Catholic teachers from Notre Dame, Dowanhill, Glasgow, Scotland, celebrated a reunion at the University Faculty Club. Forty-four were present, and it is hoped that […]

Published
2006

10. Tories plan to cut legal help.

Author

Rooney, Ann

Abstract

The article argues against British government Tories plan announced in November 2015 to increase the claims limit for accidents due to increase in fraudulent claims, and also mentions that Broadcasting Entertainment Cinematograph and Theatre Union members are protected by their union legal scheme.

Published
2016

11. Feedback.

Author

Rooney, Ann

Subjects
WEIGHT loss, HUSBANDS
Abstract

A letter to the editor is presented in response to the article "I Dumped My Feeder Hubby And Lost 114 kg!" in the August 26, 2013 issue.

Published
2013

12. Your say.

Author

Wayne, Jessica, Rooney, Ann, and Holly

Subjects
LETTERS to the editor, CELEBRITIES
Abstract

Several letters to the editor are presented in response to articles in the September 6, 2010 issue including "Heidi Falls Apart," "Who Is the Real Scott? A Douch From the Beginning," and "Luc Tells Gaga 'Put A Top On!"

Published
2010

13. Using trained dogs and organic semi-conducting sensors to identify asymptomatic and mild SARS-CoV-2 infections: an observational study.

Author

Guest C, Dewhirst SY, Lindsay SW, Allen DJ, Aziz S, Baerenbold O, Bradley J, Chabildas U, Chen-Hussey V, Clifford S, Cottis L, Dennehy J, Foley E, Gezan SA, Gibson T, Greaves CK, Kleinschmidt I, Lambert S, Last A, Morant S, Parker JEA, Pickett J, Quilty BJ, Rooney A, Shah M, Somerville M, Squires C, Walker M, and Logan JG

Subjects
Animals, Asymptomatic Infections, Humans, Mass Screening, SARS-CoV-2, Sensitivity and Specificity, Volatile Organic Compounds analysis, COVID-19 diagnosis, Dogs
Abstract

Background: A rapid, accurate, non-invasive diagnostic screen is needed to identify people with SARS-CoV-2 infection. We investigated whether organic semi-conducting (OSC) sensors and trained dogs could distinguish between people infected with asymptomatic or mild symptoms, and uninfected individuals, and the impact of screening at ports-of-entry., Methods: Odour samples were collected from adults, and SARS-CoV-2 infection status confirmed using RT-PCR. OSC sensors captured the volatile organic compound (VOC) profile of odour samples. Trained dogs were tested in a double-blind trial to determine their ability to detect differences in VOCs between infected and uninfected individuals, with sensitivity and specificity as the primary outcome. Mathematical modelling was used to investigate the impact of bio-detection dogs for screening., Results: About, 3921 adults were enrolled in the study and odour samples collected from 1097 SARS-CoV-2 infected and 2031 uninfected individuals. OSC sensors were able to distinguish between SARS-CoV-2 infected individuals and uninfected, with sensitivity from 98% (95% CI 95-100) to 100% and specificity from 99% (95% CI 97-100) to 100%. Six dogs were able to distinguish between samples with sensitivity ranging from 82% (95% CI 76-87) to 94% (95% CI 89-98) and specificity ranging from 76% (95% CI 70-82) to 92% (95% CI 88-96). Mathematical modelling suggests that dog screening plus a confirmatory PCR test could detect up to 89% of SARS-CoV-2 infections, averting up to 2.2 times as much transmission compared to isolation of symptomatic individuals only., Conclusions: People infected with SARS-CoV-2, with asymptomatic or mild symptoms, have a distinct odour that can be identified by sensors and trained dogs with a high degree of accuracy. Odour-based diagnostics using sensors and/or dogs may prove a rapid and effective tool for screening large numbers of people.Trial Registration NCT04509713 (clinicaltrials.gov)., (© The Author(s) 2022. Published by Oxford University Press on behalf of International Society of Travel Medicine.)

Published
2022
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