scholarly journals Age-Related Changes in Resting-State Networks of A Large Sample Size of Healthy Elderly

2015 ◽  
Vol 21 (10) ◽  
pp. 817-825 ◽  
Author(s):  
Chun-Chao Huang ◽  
Wen-Jin Hsieh ◽  
Pei-Lin Lee ◽  
Li-Ning Peng ◽  
Li-Kuo Liu ◽  
...  
2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Delphine Picard ◽  
Christophe Gauthier

The way children portray emotions in their drawings of human and nonhuman topics is assumed to reflect their artistic, emotional, and cognitive development. This study was designed to investigate the development of expressive drawings during childhood and into adolescence, using a large age range (5–15 years) and sample size (N=480), so as to provide a precise and comprehensive view of age-related changes in children’s ability to produce expressive drawings. More specifically, we focused on children’s developing ability to use the techniques of literal and metaphorical expression, either alone or in combination. We also examined the effects of sex, topics (house, tree, or person), and the depicted emotion (happiness or sadness) on the use of each expressive technique. The main findings were that there is a developmental shift between childhood (5–10 years) and adolescence (11–15 years) in the use of expressive techniques, from simple (literal) to more complex forms of expression (metaphorical).


2018 ◽  
pp. 437-445
Author(s):  
Gregory S. Thomas

The chapter Heart Rate Response to Exercise reviews the studies performed to estimate a patient’s maximum predicted heart rate. While the commonly used formula (220 – age), developed in 1971, is easy to remember, it underestimates the actual maximum heart rate in older persons. Studies of large sample size have found the maximum heart rate to be relatively independent of sex and physical fitness but to incrementally decline with age. The decrease with age is less than 1 beat per minute per year, however. A more accurate and recommended formula is [(208) – (0.7)(age)] as developed by Tanaka and colleagues.


1970 ◽  
Vol 7 (01) ◽  
pp. 1-20 ◽  
Author(s):  
Ora Engleberg Percus ◽  
Jerome K. Percus

A generating function technique is used to determine the probability that the deviation between two empirical distributions drawn from the same population lies within a given band a specified number of times. We also treat the asymptotic problem of very large sample size, and obtain explicit expressions when the relative number of failures is very small or very large.


2019 ◽  
Vol 24 (4) ◽  
pp. 408-419
Author(s):  
Hongu Meng ◽  
Antony Warden ◽  
Lulu Zhang ◽  
Ting Zhang ◽  
Yiyang Li ◽  
...  

Mass cytometry (CyTOF) is a critical cell profiling tool in acquiring multiparameter proteome data at the single-cell level. A major challenge in CyTOF analysis is sample-to-sample variance arising from the pipetting process, staining variation, and instrument sensitivity. To reduce such variations, cell barcoding strategies that enable the combination of individual samples prior to antibody staining and data acquisition on CyTOF are often utilized. The most prevalent barcoding strategy is based on a binary scheme that cross-examines the existence or nonexistence of certain mass signals; however, it is limited by low barcoding efficiency and high cost, especially for large sample size. Herein, we present a novel barcoding method for CyTOF application based on mass ratiometry. Different mass tags with specific fixed ratios are used to label CD45 antibody to achieve sample barcoding. The presented method exponentially increases the number of possible barcoded samples with the same amount of mass tags compared with conventional methods. It also reduces the overall time for the labeling process to 40 min and avoids the need for expensive commercial barcoding buffer reagents. Moreover, unlike the conventional barcoding process, this strategy does not pre-permeabilize cells before the barcoding procedure, which offers additional benefits in preserving surface biomarker signals.


2019 ◽  
Vol 7 (9) ◽  
pp. 1801053
Author(s):  
Liu Xie ◽  
Rui Tong ◽  
Wen Zhang ◽  
Dejian Wang ◽  
Tao Liu ◽  
...  

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