scholarly journals Evaluating Task Modification as an Objective Measure of Functional Limitation: Repeatability and Comparability

2006 ◽  
Vol 61 (7) ◽  
pp. 718-725 ◽  
Author(s):  
T. M. Manini ◽  
S. B. Cook ◽  
T. VanArnam ◽  
M. Marko ◽  
L. Ploutz-Snyder
Keyword(s):  
Functional Limitation ◽  
Objective Measure ◽  
Task Modification

Thinking in music: An objective measure of notation-evoked sound imagery in musicians.

2018 ◽  
Vol 28 (4) ◽  
pp. 209-221 ◽  
Author(s):  
Anna Wolf ◽  
Reinhard Kopiez ◽  
Friedrich Platz
Keyword(s):  
Objective Measure

Weighing Ourselves Down

2015 ◽  
Vol 4 (3) ◽  
pp. 51-69 ◽  
Author(s):  
Nathan Hodges
Keyword(s):  
Weight Loss ◽  
Body Image ◽  
Physical Health ◽  
Lived Experiences ◽  
Objective Measure ◽  
Subjective Experiences ◽  
Cultural Meanings ◽  
Canonical Narratives

Bodyweight—the number on the scale—has been constructed as an objective measure of health, and weight loss as synonymous with healthier. Weight has been used as a way of classifying and controlling people, ignoring the embodied, relational, and cultural meanings attached to health and weight. Instead, these subjective experiences are lumped into a numerical category. Our society's obsession with weight is weighing us down and most of us should toss out our scales. Scale stories offer a departure from canonical narratives about physical health and body image by emphasizing emotions and lived experiences instead of bodyweight and numerical categories.

Specific Gravity as an Objective Measure of Beef Eating Quality

1960 ◽  
Vol 19 (1) ◽  
pp. 167-174 ◽  
Author(s):  
J. W. Cole ◽  
W. R. Backus ◽  
L. E. Orme
Keyword(s):  
Specific Gravity ◽  
Objective Measure ◽  
Eating Quality

What you morph is not what you get: Subjective and neural responses to facial expressions of emotion depend on perceived intensity/arousal (not on amount of morphing)

2020 ◽  
Author(s):  
Fernando Ferreira-Santos ◽  
Mariana R. Pereira ◽  
Tiago O. Paiva ◽  
Pedro R. Almeida ◽  
Eva C. Martins ◽  
...  
Keyword(s):  
Facial Expressions ◽  
Electrophysiological Study ◽  
Objective Measure ◽  
Event Related Potential ◽  
Supporting Evidence ◽  
Emotional Intensity ◽  
Neural Responses ◽  
Facial Stimuli ◽  
Facial Expressions Of Emotion ◽  
Processing Techniques

The behavioral and electrophysiological study of the emotional intensity of facial expressions of emotions has relied on image processing techniques termed ‘morphing’ to generate realistic facial stimuli in which emotional intensity can be manipulated. This is achieved by blending neutral and emotional facial displays and treating the percent of morphing between the two stimuli as an objective measure of emotional intensity. Here we argue that the percentage of morphing between stimuli does not provide an objective measure of emotional intensity and present supporting evidence from affective ratings and neural (event-related potential) responses. We show that 50% morphs created from high or moderate arousal stimuli differ in subjective and neural responses in a sensible way: 50% morphs are perceived as having approximately half of the emotional intensity of the original stimuli, but if the original stimuli differed in emotional intensity to begin with, then so will the morphs. We suggest a re-examination of previous studies that used percentage of morphing as a measure of emotional intensity and highlight the value of more careful experimental control of emotional stimuli and inclusion of proper manipulation checks.

Effect of Age, Gender, Side and Impaction Types on Surgical Difficulty During Mandibular Third Molar Extraction.

2018 ◽  
Vol 17 (2) ◽  
pp. 11
Author(s):  
Krishna Gopal Bhuju ◽  
Sujita Shrestha ◽  
Riwaj Karki ◽  
Sameer Aryal
Keyword(s):  
Third Molar ◽  
Objective Measure ◽  
Operation Time ◽  
Significance Level ◽  
Third Molar Extraction ◽  
Mandibular Third Molar ◽  
Duration Of Surgery ◽  
Surgical Difficulty ◽  
Effect Of Age ◽  
Molar Extraction

<p><strong>Aim</strong>: To study the effect of age, gender, side and impaction types on surgical difficulty during mandibular third molar extraction through the data collected over a period of one year by single maxillofacial surgeon. All the extractions were performed under the same environment and conditions.</p><p><strong>Methods</strong>: Descriptive clinical study of 401 patients was carried out between the ages of 16 to 45years. Age, gender, impaction side and impaction types (according to the winter classification) were recorded on proforma. Duration of surgery for each patient was recorded after starting incision to the completion of suture which was divided into less than 10 minutes (mild), 11 to 20 minutes (moderate) and above 21 minutes (severe). Pearson’s Chi-square test was used for data analysis and significance level was less than or equal to 0.05.</p><p><strong>Results</strong>: Among 401 participants, 225 (56.1%) were male and 176 (43.9%) were female. Mean age was 31.5 years and mean operation time was 17.59 minutes. After statistical analysis there was a significant correlation among gender and side of impaction where <em>p </em>value is 0.043 0.048 respectively.</p><p><strong>Conclusion</strong>: There is a statistically significant correlation between gender and side of impaction with duration of surgery which is considered as the objective measure of surgical difficulty whereas age and impaction types didn’t show any significant correlation. </p>

scholarly journals A Time-Based Objective Measure of Exposure to the Food Environment

2019 ◽  
Vol 16 (7) ◽  
pp. 1180 ◽  
Author(s):  
Jason Scully ◽  
Anne Moudon ◽  
Philip Hurvitz ◽  
Anju Aggarwal ◽  
Adam Drewnowski
Keyword(s):  
Food Environment ◽  
Fast Food ◽  
Objective Measure ◽  
Mobility Patterns ◽  
Time Duration ◽  
Positioning Systems ◽  
Global Positioning ◽  
Fast Food Restaurants ◽  
Logistic Regressions ◽  
The Relationship

Exposure to food environments has mainly been limited to counting food outlets near participants’ homes. This study considers food environment exposures in time and space using global positioning systems (GPS) records and fast food restaurants (FFRs) as the environment of interest. Data came from 412 participants (median participant age of 45) in the Seattle Obesity Study II who completed a survey, wore GPS receivers, and filled out travel logs for seven days. FFR locations were obtained from Public Health Seattle King County and geocoded. Exposure was conceptualized as contact between stressors (FFRs) and receptors (participants’ mobility records from GPS data) using four proximities: 21 m, 100 m, 500 m, and ½ mile. Measures included count of proximal FFRs, time duration in proximity to ≥1 FFR, and time duration in proximity to FFRs weighted by FFR counts. Self-reported exposures (FFR visits) were excluded from these measures. Logistic regressions tested associations between one or more reported FFR visits and the three exposure measures at the four proximities. Time spent in proximity to an FFR was associated with significantly higher odds of FFR visits at all proximities. Weighted duration also showed positive associations with FFR visits at 21-m and 100-m proximities. FFR counts were not associated with FFR visits. Duration of exposure helps measure the relationship between the food environment, mobility patterns, and health behaviors. The stronger associations between exposure and outcome found at closer proximities (<100 m) need further research.

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