Individual variability in tail tendon fiber break time in three age cohorts of ifferent strains of mice

1991 ◽  
Vol 26 (5) ◽  
pp. 467-477 ◽  
Author(s):  
Kathleen A. Higgins ◽  
J.T. Stout ◽  
Debra A. Heller ◽  
Robert F. Parker
2010 ◽  
Vol 66A (2) ◽  
pp. 170-178 ◽  
Author(s):  
L. B. Sloane ◽  
J. T. Stout ◽  
D. J. Vandenbergh ◽  
G. P. Vogler ◽  
G. S. Gerhard ◽  
...  

1966 ◽  
Vol 3 (4) ◽  
pp. 37-46
Author(s):  
Alfredo Arruga ◽  
Antonio Henríquez-de-Gaztañondo
Keyword(s):  

1992 ◽  
Vol 21 (2) ◽  
pp. 129-134 ◽  
Author(s):  
DEBRA A. HELLER ◽  
GERALD E. McCLEARN

2014 ◽  
Vol 32 (2) ◽  
pp. 125-142 ◽  
Author(s):  
São Luís Castro ◽  
César F. Lima

We investigated how age and musical expertise influence emotion recognition in music. Musically trained and untrained participants from two age cohorts, young and middle-aged adults (N = 80), were presented with music excerpts expressing happiness, peacefulness, sadness, and fear/threat. Participants rated how much each excerpt expressed the four emotions on 10-point scales. The intended emotions were consistently perceived, but responses varied across groups. Advancing age was associated with selective decrements in the recognition of sadness and fear/threat, a finding consistent with previous research (Lima & Castro, 2011a); the recognition of happiness and peacefulness remained stable. Years of music training were associated with enhanced recognition accuracy. These effects were independent of domain-general cognitive abilities and personality traits, but they were echoed in differences in how efficiently music structural cues (e.g., tempo, mode) were relied upon. Thus, age and musical expertise are experiential factors explaining individual variability in emotion recognition in music.


2010 ◽  
Vol 66A (3) ◽  
pp. 287-294 ◽  
Author(s):  
Lauren B. Sloane ◽  
Joseph T. Stout ◽  
Steven N. Austad ◽  
Gerald E. McClearn

2019 ◽  
Vol 42 ◽  
Author(s):  
Emily F. Wissel ◽  
Leigh K. Smith

Abstract The target article suggests inter-individual variability is a weakness of microbiota-gut-brain (MGB) research, but we discuss why it is actually a strength. We comment on how accounting for individual differences can help researchers systematically understand the observed variance in microbiota composition, interpret null findings, and potentially improve the efficacy of therapeutic treatments in future clinical microbiome research.


2011 ◽  
Vol 81 (4) ◽  
pp. 256-263 ◽  
Author(s):  
Christophe Matthys ◽  
Pieter van ‘t Veer ◽  
Lisette de Groot ◽  
Lee Hooper ◽  
Adriënne E.J.M. Cavelaars ◽  
...  

In Europe, micronutrient dietary reference values have been established by (inter)national committees of experts and are used by public health policy decision-makers to monitor and assess the adequacy of diets within population groups. The approaches used to derive dietary reference values (including average requirements) vary considerably across countries, and so far no evidence-based reason has been identified for this variation. Nutrient requirements are traditionally based on the minimum amount of a nutrient needed by an individual to avoid deficiency, and is defined by the body’s physiological needs. Alternatively the requirement can be defined as the intake at which health is optimal, including the prevention of chronic diet-related diseases. Both approaches are confronted with many challenges (e. g., bioavailability, inter and intra-individual variability). EURRECA has derived a transparent approach for the quantitative integration of evidence on Intake-Status-Health associations and/or Factorial approach (including bioavailability) estimates. To facilitate the derivation of dietary reference values, EURopean micronutrient RECommendations Aligned (EURRECA) is developing a process flow chart to guide nutrient requirement-setting bodies through the process of setting dietary reference values, which aims to facilitate the scientific alignment of deriving these values.


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