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Article ; Online: Response: Mindfulness-Based Interventions to Improve Academic Achievement.

Bultas, Margaret W / McGroarty, Cristina / Boyd, Emily

2023 Volume 62, Issue 2, Page(s) e1

MeSH term(s)	Humans ; Academic Success ; Mindfulness ; Educational Status
Language	English
Publishing date	2023-02-01
Publishing country	United States
Document type	Letter ; Comment
ZDB-ID	410686-6
ISSN	1938-2421 ; 0148-4834
ISSN (online)	1938-2421
ISSN	0148-4834
DOI	10.3928/01484834-20230112-02
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Book: Easy plant propogation [i.e. propagation]

McGroarty, Michael J

a simple homemade plant propagation system

2006

Title variant	Simple homemade plant propagation system
Institution	McGroarty Enterprises Inc
Author's details	by Michael J. McGroarty for McGroarty Enterprises Inc
Keywords	Plant propagation. ; Plant cuttings. ; Vegetative propagation.
Language	English
Size	xvi, 98 p. :, ill. ;, 24 cm.
Publisher	AuthorHouse
Publishing place	Bloomington, IN
Document type	Book
ISBN	9781425985691 ; 1425985696
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Opinion Dynamics Explain Price Formation in Prediction Markets.

Restocchi, Valerio / McGroarty, Frank / Gerding, Enrico / Brede, Markus

Entropy (Basel, Switzerland)

2023 Volume 25, Issue 8

Abstract: Prediction markets are heralded as powerful forecasting tools, but models that describe them often fail to capture the full complexity of the underlying mechanisms that drive price dynamics. To address this issue, we propose a model in which agents ... ...

Abstract	Prediction markets are heralded as powerful forecasting tools, but models that describe them often fail to capture the full complexity of the underlying mechanisms that drive price dynamics. To address this issue, we propose a model in which agents belong to a social network, have an opinion about the probability of a particular event to occur, and bet on the prediction market accordingly. Agents update their opinions about the event by interacting with their neighbours in the network, following the Deffuant model of opinion dynamics. Our results suggest that a simple market model that takes into account opinion formation dynamics is capable of replicating the empirical properties of historical prediction market time series, including volatility clustering and fat-tailed distribution of returns. Interestingly, the best results are obtained when there is the right level of variance in the opinions of agents. Moreover, this paper provides a new way to indirectly validate opinion dynamics models against real data by using historical data obtained from PredictIt, which is an exchange platform whose data have never been used before to validate models of opinion diffusion.
Language	English
Publishing date	2023-08-01
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2014734-X
ISSN	1099-4300 ; 1099-4300
ISSN (online)	1099-4300
ISSN	1099-4300
DOI	10.3390/e25081152
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Article ; Online: Evaluation of a Brief Mindfulness Intervention on Examination Anxiety and Stress.

Bultas, Margaret W / Boyd, Emily / McGroarty, Cristina

The Journal of nursing education

2021 Volume 60, Issue 11, Page(s) 625–628

Abstract: Background: Nursing students report increasing levels of stress and anxiety related to academic performance. Mindfulness programs have been found to reduce stress, yet such programs have been identified as a time-burden for students. This study ... ...

Abstract	Background: Nursing students report increasing levels of stress and anxiety related to academic performance. Mindfulness programs have been found to reduce stress, yet such programs have been identified as a time-burden for students. This study evaluated the integration of a brief preexamination mindfulness reflective intervention for nursing students. Perceived stress, anxiety, resilience, and acceptability were evaluated. Method: A mixed-methods experimental design with random assignment was used. Forty-nine nursing students were randomized to either an intervention group ( Results: Outcomes revealed decreased feelings of helplessness and anxiety in the intervention group. Although students had positive views of mindfulness, barriers were indicated. Conclusion: Brief preexamination mindfulness interventions provide students with anxiety-reducing options.
MeSH term(s)	Anxiety/prevention & control ; Emotions ; Humans ; Mindfulness ; Stress, Psychological/prevention & control ; Students, Nursing
Language	English
Publishing date	2021-11-01
Publishing country	United States
Document type	Journal Article ; Randomized Controlled Trial
ZDB-ID	410686-6
ISSN	1938-2421 ; 0148-4834
ISSN (online)	1938-2421
ISSN	0148-4834
DOI	10.3928/01484834-20210913-04
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Article ; Online: Stakeholder perspectives in New York State on reproductive health and pregnancy intention screening in primary care: A qualitative study.

Romero, Diana / Manze, Meredith / Roberts, Lynn / McGroarty, Anne / Jones, Heidi E

Contraception

2022 Volume 112, Page(s) 93–99

Abstract: ... preconception health that could benefit patients while also requiring attention to concerns from the patient (e ... g., potential for coercion, access barriers) and health care systems (e.g., buy-in, training ...

Abstract	Objective: To assess New York State stakeholders' perspectives regarding providing reproductive health services in primary care settings, including asking patients about pregnancy intentions and providing long-acting reversible contraception (LARC). Study design: We conducted semistructured key-informant interviews (n = 22) with stakeholders representing diverse sectors, including primary care (family medicine) and specialty (obstetrician/gynecologist) physicians, health educators/promoters, advocates, and public health/health care professionals. Grounded theory methodology informed sampling and thematic analysis within and across sectors. Results: Key informants across sectors supported integrating reproductive health services into primary care. Pregnancy intention screening was considered appropriate yet required improved measures. Such screening was viewed as fostering childbearing discussions and counseling for contraception/preconception health that could benefit patients while also requiring attention to concerns from the patient (e.g., potential for coercion, access barriers) and health care systems (e.g., buy-in, training) contexts. Three themes related to LARC included provider bias, knowledge and training, counseling and patient education, and logistics/financial situation, which were differentially emphasized by stakeholder sector; providers expressed greater concern regarding training, bias, and logistical considerations, whereas health educators and advocates focused on patient education and autonomous decision-making. Similarly, awareness of reproductive justice principles varied by sector. Conclusion: There is consensus among informants from the 5 sectors for expanding reproductive health services in primary care. This will require reproductive health-related training for providers, organizational buy-in, and system protocol changes, including unbiased contraceptive counseling of all methods, specifically balancing discussion of LARC effectiveness with information regarding side effects. Incorporating reproductive justice principles may increase informed patient decision-making and reproductive autonomy. Implications: Expanding reproductive health services in primary care requires provider training and protocols for patient-centered care, including unbiased provision of all contraceptive options. The reproductive justice framework offers the possibility of addressing diverse stakeholders' concerns for both preconception and contraceptive care with patient decision-making at the forefront.
MeSH term(s)	Contraception/methods ; Contraceptive Agents ; Female ; Humans ; Intention ; New York ; Patient-Centered Care ; Pregnancy ; Reproductive Health
Chemical Substances	Contraceptive Agents
Language	English
Publishing date	2022-05-22
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	80106-9
ISSN	1879-0518 ; 0010-7824
ISSN (online)	1879-0518
ISSN	0010-7824
DOI	10.1016/j.contraception.2022.05.008
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Article: Estimating the impact of the Internet of Things on productivity in Europe.

Espinoza, Héctor / Kling, Gerhard / McGroarty, Frank / O'Mahony, Mary / Ziouvelou, Xenia

Heliyon

2020 Volume 6, Issue 5, Page(s) e03935

Abstract: ... but also demanding far-reaching policy changes (e.g. in terms of data security and privacy), which involve ...

Abstract	The Internet of Things (IoT) refers to interconnected devices and objects that collect and transmit data via the Internet. The IoT is an evolving technology, promising to revolutionise industries, but also demanding far-reaching policy changes (e.g. in terms of data security and privacy), which involve significant resources. This paper reviews the evidence on uptake and the economic impact of the IoT during its early years of inception. It uses a growth accounting framework to evaluate the likely impact of the IoT on productivity. Estimating the effect of new technologies on productivity is an essential step in evaluating the 'economic value-added', justifying resources dedicated to facilitating the adoption of innovations. We find a positive impact of the IoT on productivity, however relatively small, given that the IoT is still at an early stage of development. We present projections on the impact of the IoT under a number of scenarios.
Language	English
Publishing date	2020-05-15
Publishing country	England
Document type	Journal Article
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2020.e03935
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Book ; Online: Long short-term memory networks and laglasso for bond yield forecasting

Nunes, Manuel / Gerding, Enrico / McGroarty, Frank / Niranjan, Mahesan

Peeping inside the black box

2020

Abstract: Modern decision-making in fixed income asset management benefits from intelligent systems, which involve the use of state-of-the-art machine learning models and appropriate methodologies. We conduct the first study of bond yield forecasting using long ... ...

Abstract	Modern decision-making in fixed income asset management benefits from intelligent systems, which involve the use of state-of-the-art machine learning models and appropriate methodologies. We conduct the first study of bond yield forecasting using long short-term memory (LSTM) networks, validating its potential and identifying its memory advantage. Specifically, we model the 10-year bond yield using univariate LSTMs with three input sequences and five forecasting horizons. We compare those with multilayer perceptrons (MLP), univariate and with the most relevant features. To demystify the notion of black box associated with LSTMs, we conduct the first internal study of the model. To this end, we calculate the LSTM signals through time, at selected locations in the memory cell, using sequence-to-sequence architectures, uni and multivariate. We then proceed to explain the states' signals using exogenous information, for what we develop the LSTM-LagLasso methodology. The results show that the univariate LSTM model with additional memory is capable of achieving similar results as the multivariate MLP using macroeconomic and market information. Furthermore, shorter forecasting horizons require smaller input sequences and vice-versa. The most remarkable property found consistently in the LSTM signals, is the activation/deactivation of units through time, and the specialisation of units by yield range or feature. Those signals are complex but can be explained by exogenous variables. Additionally, some of the relevant features identified via LSTM-LagLasso are not commonly used in forecasting models. In conclusion, our work validates the potential of LSTMs and methodologies for bonds, providing additional tools for financial practitioners. Comment: 27 pages, 16 figures
Keywords	Quantitative Finance - Computational Finance ; Computer Science - Computational Engineering ; Finance ; and Science ; Computer Science - Machine Learning
Publishing date	2020-05-05
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: A novel approach to improving coagulation sample ordering in an emergency department.

Murphy, Emma / MacGlone, Sile / McGroarty, Claire

BMJ quality improvement reports

2015 Volume 4, Issue 1

Abstract: Driven by emergency department targets, there is a need for rapid initial assessment and investigations of attendees to the department, and blood tests are often performed before full patient assessment. It has been shown that many investigations ordered ...

Abstract	Driven by emergency department targets, there is a need for rapid initial assessment and investigations of attendees to the department, and blood tests are often performed before full patient assessment. It has been shown that many investigations ordered in the emergency department are inappropriate. Coagulation samples are acknowledged as one the commonest blood samples requested on admission. We predicted that the majority of the routine coagulation samples performed in our ED department were unnecessary. We aimed to determine if coagulation tests sent from our department were appropriate, develop guidance for appropriate testing and to increase the percentage of appropriate tests to 90%. Criterion based audit was used. All coagulation samples sent from the ED over a one week period were reviewed and the indications for testing compared to guidance developed by consensus with ED consultants. On the first data collection, 66 of 369 (17%) samples were deemed appropriate. Feedback to clinical staff was given at educational meetings and appropriate indications discussed. In collaboration with both senior nursing and medical staff, coagulation screen request bottles were removed from the main clinical area and were only available in the resuscitation area. Following these interventions, 69 of 97 (71%) samples were deemed appropriate and a further intervention is planned to reach our standard. This improvement could lead to a £100,000 saving annually and a cross-site collaborative study is planned to spread these improvements.
Language	English
Publishing date	2015-02-11
Publishing country	England
Document type	Journal Article
ZDB-ID	2677829-4
ISSN	2050-1315
ISSN	2050-1315
DOI	10.1136/bmjquality.u204785.w2857
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Article ; Online: Nordic hamstring exercise training alters knee joint kinematics and hamstring activation patterns in young men.

Delahunt, Eamonn / McGroarty, Mark / De Vito, Giuseppe / Ditroilo, Massimiliano

European journal of applied physiology

2016 Volume 116, Issue 4, Page(s) 663–672

Abstract: Purpose: To investigate the kinematic and muscle activation adaptations during performance of the Nordic hamstring exercise (NHE) to a 6-week eccentric hamstring training programme using the NHE as the sole mode of exercise.: Methods: Twenty-nine ... ...

Abstract	Purpose: To investigate the kinematic and muscle activation adaptations during performance of the Nordic hamstring exercise (NHE) to a 6-week eccentric hamstring training programme using the NHE as the sole mode of exercise. Methods: Twenty-nine healthy males were randomly allocated to a control (CG) or intervention (IG) group. The IG participated in a 6-week eccentric hamstring exercise programme using the NHE. Results: The findings of the present study were that a 6-week eccentric hamstring training programme improved eccentric hamstring muscle strength (202.4 vs. 177.4 nm, p = 0.0002, Cohen's d = 0.97) and optimized kinematic (longer control of the forward fall component of the NHE, 68.1° vs. 73.7°, p = 0.022, Cohen's d = 0.90) and neuromuscular parameters (increased electromyographic activity of the hamstrings, 83.2 vs. 56.6 % and 92.0 vs. 54.2 %, p < 0.05, Cohen's d > 1.25) associated with NHE performance. Conclusion: This study provides some insight into potential mechanisms by which an eccentric hamstring exercise programme utilizing the NHE as the mode of exercise may result in an improvement in hamstring muscle control during eccentric contractions.
MeSH term(s)	Biomechanical Phenomena ; Case-Control Studies ; Exercise ; Hamstring Muscles/physiology ; Humans ; Knee Joint/physiology ; Male ; Muscle Contraction ; Random Allocation ; Young Adult
Language	English
Publishing date	2016-04
Publishing country	Germany
Document type	Journal Article
ZDB-ID	124793-1
ISSN	1439-6327 ; 1432-1025 ; 0301-5548 ; 1439-6319
ISSN (online)	1439-6327 ; 1432-1025
ISSN	0301-5548 ; 1439-6319
DOI	10.1007/s00421-015-3325-3
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Article ; Online: Estimating the impact of the Internet of Things on productivity in Europe

Héctor Espinoza / Gerhard Kling / Frank McGroarty / Mary O'Mahony / Xenia Ziouvelou

Heliyon, Vol 6, Iss 5, Pp e03935- (2020)

2020

Abstract: ... but also demanding far-reaching policy changes (e.g. in terms of data security and privacy), which involve ...

Abstract	The Internet of Things (IoT) refers to interconnected devices and objects that collect and transmit data via the Internet. The IoT is an evolving technology, promising to revolutionise industries, but also demanding far-reaching policy changes (e.g. in terms of data security and privacy), which involve significant resources. This paper reviews the evidence on uptake and the economic impact of the IoT during its early years of inception. It uses a growth accounting framework to evaluate the likely impact of the IoT on productivity. Estimating the effect of new technologies on productivity is an essential step in evaluating the ‘economic value-added’, justifying resources dedicated to facilitating the adoption of innovations. We find a positive impact of the IoT on productivity, however relatively small, given that the IoT is still at an early stage of development. We present projections on the impact of the IoT under a number of scenarios.
Keywords	Business ; Economics ; Industry ; Information science ; Internet of Things ; Productivity ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
Subject code	303
Language	English
Publishing date	2020-05-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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