scholarly journals A comparison of annual forages and stockpiled pasture on the growth and health parameters of grazing fall-born lambs

2021 ◽  
Vol 196 ◽  
pp. 106335
Author(s):  
B.J. Campbell ◽  
C.H. Gelley ◽  
J.S. McCutcheon ◽  
F.L. Fluharty ◽  
A.J. Parker
Keyword(s):  
2021 ◽  
Vol 13 (13) ◽  
pp. 7465
Author(s):  
Mujahid Ali ◽  
Afonso R. G. de Azevedo ◽  
Markssuel T. Marvila ◽  
Muhammad Imran Khan ◽  
Abdul Muhaimin Memon ◽  
...  

Since December 2019, the COVID-19 epidemic has been spreading all over the world. This epidemic has brought a risk of death in the daily activity (physical and social) participation that influences travellers’ physical, social, and mental health. To analyze the impact of the COVID-19-induced daily activities on health parameters of higher education institutes, 150 students of the Universiti Teknologi PETRONAS, Perak, Malaysia, were surveyed through an online web survey using random sampling techniques. The data were analyzed through RStudio and SPSS using multilevel linear regression analysis and Hierarchical Structural Equation Modeling. The estimated results indicate that restricting individuals from doing out-of-home activities negatively influences physical and social health. A unit increase in the in-home maintenance activities during the COVID-19 pandemic introduced a daily increase of 0.5% in physical health. Moreover, a unit increase in the in-home activities at leisure time represents a 1% positive improvement in social health. Thus, physical activity has proven to be beneficial in improving physical and social health with severe COVID-19. In contrast, the coefficient of determination (R2) for all endogenous variables ranges from 0.148 to 0.227, which is incredibly acceptable in psychological research. For a healthier society with a better quality of life, this study adopted multidisciplinary approaches that are needed to be designed.


2020 ◽  
Vol 23 (6) ◽  
pp. 330-337
Author(s):  
Olatz Mompeo ◽  
Rachel Gibson ◽  
Paraskevi Christofidou ◽  
Tim D. Spector ◽  
Cristina Menni ◽  
...  

AbstractA healthy diet is associated with the improvement or maintenance of health parameters, and several indices have been proposed to assess diet quality comprehensively. Twin studies have found that some specific foods, nutrients and food patterns have a heritable component; however, the heritability of overall dietary intake has not yet been estimated. Here, we compute heritability estimates of the nine most common dietary indices utilized in nutritional epidemiology. We analyzed 2590 female twins from TwinsUK (653 monozygotic [MZ] and 642 dizygotic [DZ] pairs) who completed a 131-item food frequency questionnaire (FFQ). Heritability estimates were computed using structural equation models (SEM) adjusting for body mass index (BMI), smoking status, Index of Multiple Deprivation (IMD), physical activity, menopausal status, energy and alcohol intake. The AE model was the best-fitting model for most of the analyzed dietary scores (seven out of nine), with heritability estimates ranging from 10.1% (95% CI [.02, .18]) for the Dietary Reference Values (DRV) to 42.7% (95% CI [.36, .49]) for the Alternative Healthy Eating Index (A-HEI). The ACE model was the best-fitting model for the Healthy Diet Indicator (HDI) and Healthy Eating Index 2010 (HEI-2010) with heritability estimates of 5.4% (95% CI [−.17, .28]) and 25.4% (95% CI [.05, .46]), respectively. Here, we find that all analyzed dietary indices have a heritable component, suggesting that there is a genetic predisposition regulating what you eat. Future studies should explore genes underlying dietary indices to further understand the genetic disposition toward diet-related health parameters.


2006 ◽  
Vol 48 (8) ◽  
pp. 771-779 ◽  
Author(s):  
Edward Anthony Emmett ◽  
Hong Zhang ◽  
Frances Susan Shofer ◽  
David Freeman ◽  
Nancy Virginia Rodway ◽  
...  

1990 ◽  
Vol 70 (4) ◽  
pp. 406-413 ◽  
Author(s):  
Linda P. Harriman ◽  
David A. Snowdon ◽  
Louise B. Messer ◽  
Del Marie Rysavy ◽  
Sharon K. Ostwald ◽  
...  

2021 ◽  
pp. 101457
Author(s):  
Shawna L. Weimer ◽  
Robert F. Wideman ◽  
Colin G. Scanes ◽  
Andy Mauromoustakos ◽  
Karen D. Christensen ◽  
...  

Author(s):  
Donald L. Simon ◽  
Jeffrey B. Armstrong

A Kalman filter-based approach for integrated on-line aircraft engine performance estimation and gas path fault diagnostics is presented. This technique is specifically designed for underdetermined estimation problems where there are more unknown system parameters representing deterioration and faults than available sensor measurements. A previously developed methodology is applied to optimally design a Kalman filter to estimate a vector of tuning parameters, appropriately sized to enable estimation. The estimated tuning parameters can then be transformed into a larger vector of health parameters representing system performance deterioration and fault effects. The results of this study show that basing fault isolation decisions solely on the estimated health parameter vector does not provide ideal results. Furthermore, expanding the number of the health parameters to address additional gas path faults causes a decrease in the estimation accuracy of those health parameters representative of turbomachinery performance deterioration. However, improved fault isolation performance is demonstrated through direct analysis of the estimated tuning parameters produced by the Kalman filter. This was found to provide equivalent or superior accuracy compared to the conventional fault isolation approach based on the analysis of sensed engine outputs, while simplifying online implementation requirements. Results from the application of these techniques to an aircraft engine simulation are presented and discussed.


BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S323-S324
Author(s):  
Pam Hamlyn ◽  
Aaron McMenamin ◽  
Hilary Boyd ◽  
Lara Patton

AimsTo evidence that physical health monitoring during antipsychotic initiation and continued treatment within the Child and Family Clinic is current, as per the agreed Antipsychotic Medication Monitoring Schedule for Belfast Trust CAMHS (2015), supporting Quality Network for Community CAMHS(QNCC) accreditation.BackgroundThe Antipsychotic Medication Monitoring Schedule CAMHS(2015) was agreed by a working group of consultant psychiatrists and pharmacists, based on evidence from The Canadian Alliance for Monitoring Effectiveness and Safety of Antipsychotics in Children (CAMSEA), NICE Guidelines CG 185(2014), CG155(2013) and Maudsley Guidelines, and was to be located on the electronic system (PARIS).MethodIn January 2019, a list of all children/young people on antipsychotic medication was collated (n = 12). Presence of the monitoring schedule in the clinical notes or PARIS was recorded. The Electronic Care Record was reviewed for blood results and PARIS letters for documentation of physical health parameters (heart rate, blood pressure, height, weight, BMI, extrapyramidal side effects, ECG) and to identify documentation of risk/benefit review where monitoring was declined. Re-audit January 2020 (n = 9). Criteria:All patients commenced on antipsychotic medication will have baseline blood investigations and other physical health parameters documented as per the monitoring schedule. If monitoring was declined, the reason for this and indications for prescribing must be documented as a risk/benefit analysis.All patients on antipsychotic medication will be current with their physical health Monitoring Schedule.All patients will have their Monitoring Schedule completed in clinical notes or on PARIS.ResultFirst cycle results (n = 12):Baseline bloods (or documented declined) = 92%, Baseline ECG (or documented declined) = 75%Complete monitoring bloods = 33%, Physical health monitoring parameters complete = 42%Monitoring schedule present in the notes and current = 42% (0% on PARIS).Initial Recommendations: Standardised recording of monitoring using PARIS clinic letters and the schedule in front of clinical notes; Baseline ECG mandatorySecond cycle results (n = 9):Baseline bloods (or declined) = 89%, Baseline ECG (or declined) = 67%Complete monitoring bloods = 44%, Physical health monitoring parameters complete = 56%Monitoring schedule present in notes and current = 38%, Present, not current = 50% (0% on PARIS).ConclusionLower numbers at re-audit limit interpretation.Further recommendations: Antipsychotic initiation checklist; Central bloods diary for clinicians; Antipsychotic care-pathway booklet, co-produced with young people, incorporating the monitoring schedule.


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