Source of high activity levels recently observed from shipping containers and transfer cans

Activity levels in rat soleus (SOL) and plantaris (PL) were quantitated electromyographically during control (6 days), hindlimb suspension (HS, 28 days), and recovery (6 days). The number and amplitude of "turns" were determined in each muscle from the complex interference pattern every 2 min for 40 days. Each muscle was sampled for 500 ms consecutively, providing 12 s.2 min-1 x muscle-1 of actual data. Changes in activity were assessed by differences in the total number of turns each 24 h, expressed as a percentage of control. Daily intervals of low (< 5,000 turns/2 min) and high activity (> 30,000 turns/2 min) were determined. The number of turns was significantly reduced throughout HS, to just 39% (SOL) and 35% (PL) of control levels on day 28. Low-activity periods increased significantly during HS while high-activity periods disappeared. During recovery, the number of turns increased to control levels in SOL and to 80–90% of control levels in PL. Large differences in activity observed between the dark and light cycles in control muscles were absent during HS and recovery. Similarly, cyclical periods of low and high activity were common during the control period but disappeared during HS and only partly returned during recovery. In conclusion, not only were activity levels significantly reduced in both SOL and PL during HS, but also the patterns of activity were changed.

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Informants’ ratings of activity level in infancy predict ADHD symptoms and diagnoses in childhood

Development and Psychopathology ◽

10.1017/s0954579418000597 ◽

2018 ◽

Vol 31 (04) ◽

pp. 1255-1269 ◽

Cited By ~ 1

Author(s):

Mirjam Meeuwsen ◽

Oliver Perra ◽

Stephanie H.M. van Goozen ◽

Dale F. Hay

Keyword(s):

High Activity ◽

Middle Childhood ◽

Self Regulation ◽

Preschool Age ◽

Activity Level ◽

Activity Levels ◽

Adhd Symptoms ◽

Hyperactivity Disorder ◽

Clinical Impairment ◽

Regulatory Problems

AbstractWe tested the hypothesis that high activity levels in infancy would predict self-regulatory problems and later symptoms of attention deficit and hyperactivity disorder (ADHD) in a longitudinal study of British families (N = 321). Infants’ activity levels were assessed at 6 months, using 3 informants’ reports from the Infant Behavior Questionnaire (IBQ) and ActiGraphs during baseline, attention, and restraint tasks. At a mean of 33 months, the children were assessed on self-regulatory tasks; at a mean of 36 months, 3 informants reported symptoms of ADHD. At a mean of 7.0 years, the children were assessed on executive function tasks; 3 informants reported on the child's symptoms of ADHD; and diagnoses of disorder were obtained using the Preschool Age Psychiatric Assessment. Informants’ reports of high activity levels at 6 months predicted ADHD symptoms in early childhood and diagnoses of ADHD with clinical impairment at age 7. The IBQ activity scale was also associated with the children's later performance on self-regulation tasks in early and middle childhood. Activity level in infancy reflects normal variation and is not a sign of psychopathology; however, these findings suggest that further study of the correlates of high activity level in infancy may help identify those children most at risk for disorder.

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III. Active Regions

Transactions of the International Astronomical Union ◽

10.1017/s0251107x00006933 ◽

1988 ◽

Vol 20 (1) ◽

pp. 64-66

Author(s):

R. Falciani

Keyword(s):

High Activity ◽

Solar Flares ◽

Active Regions ◽

Activity Levels ◽

The Sun ◽

Sacramento Peak ◽

The Past

During the past three years arguments related to the AR physics can be found in the proceedings of the following meetings: Chromospheric Diagnostics and Modelling, NSO Sacramento Peak, 1984 (I); The Hydromagnetics of the Sun, Noordwijkerout, ESA, 1984 (II); Solar and Stellar Physics, Titisee, 1987 (III). Many aspects concerning the high activity levels of AR’s can also be found in the proceedings of large number of meetings organized on solar flares. Microwave mapping is reported in Section VII. Some results are also reported in Section II.

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Effects of Paintings and Music, Both Alone and in Combination, on Emotional Judgments

Perceptual and Motor Skills ◽

10.2466/pms.1982.54.2.635 ◽

1982 ◽

Vol 54 (2) ◽

pp. 635-641 ◽

Cited By ~ 15

Author(s):

A. C. Parrott

Keyword(s):

High Activity ◽

Rating Scale ◽

Activity Levels ◽

Emotional Effects

Two paintings by each of three artists (Miro, Hopper, O'Keefe) and two pieces of music (Grieg, Tchaikovsky) were evaluated under three different conditions: music alone, paintings alone, combined situation of music and painting. Emotional judgments by 63 (non-specialist) subjects, mean age of 22.3 yr., were obtained using seven-point binary rating-scale questions, e.g., depressing/elevating. The emotional effects of painting and music were basically additive since significant interactions on the emotional judgments were not generally found. Significant interactions were, however, reported for the ‘goodness/badness of match’ between music and painting; specific combinations of painting and music were judged to be particularly well (or particularly badly) matched. Painting judgments were little affected by the presence of music. Music judgments were, however, more affected by the presence of paintings, especially by the complex paintings with high activity levels which were possibly acting as significant distractors.

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Gender Disparity in Structured Physical Activity and Overall Activity Level in Adolescence: Evaluation of Youth Risk Behavior Surveillance Data

ISRN Public Health ◽

10.5402/2012/674936 ◽

2012 ◽

Vol 2012 ◽

pp. 1-8 ◽

Cited By ~ 15

Author(s):

Clare M. Lenhart ◽

Alexandra Hanlon ◽

Youjeong Kang ◽

Brian P. Daly ◽

Michael D. Brown ◽

...

Keyword(s):

Physical Activity ◽

High Activity ◽

Risk Behavior ◽

Gender Disparity ◽

Activity Level ◽

Activity Levels ◽

Sports Teams ◽

Relative Contribution ◽

Highly Active ◽

Youth Risk Behavior

Background. Adolescent girls are less likely to meet physical activity recommendations than boys. This study examined the relative contribution of structured physical activity opportunities including physical education (PE) class and sports teams to overall activity levels for girls and boys. Methods. Data from 591 9th–12th grade students who completed the 2009 Philadelphia Youth Risk Behavior Survey were examined. Logistic regression was used to estimate the relationship between PE and sports teams and physical activity levels. Models were stratified by gender to estimate gender differences. Results. Girls were less likely to be active than boys: 27.9% of girls were sedentary as compared to 10.6% of boys. PE class was not related to activity levels among boys, while highly active girls were seven times more likely to participate in daily PE than were sedentary girls. Playing on one or more sports teams was associated with low-moderate and high activity in girls; among boys, sports team participation was only associated with high activity. Conclusions. The structured physical activity opportunities of PE and sports teams may contribute more to overall activity levels in girls than boys. A more rigorous assessment of this hypothesis is warranted to inform efforts to promote activity levels in girls.

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A scalable, satellite-transmitted data product for monitoring high-activity events in mobile aquatic animals

Animal Biotelemetry ◽

10.1186/s40317-020-00220-0 ◽

2020 ◽

Vol 8 (1) ◽

Author(s):

Rachel A. Skubel ◽

Kenady Wilson ◽

Yannis P. Papastamatiou ◽

Hannah J. Verkamp ◽

James A. Sulikowski ◽

...

Keyword(s):

Time Series ◽

High Activity ◽

Activity Level ◽

Activity Levels ◽

Accelerometer Data ◽

Data Logger ◽

Activity Data ◽

Aquatic Animals ◽

Receiver Array ◽

In The Wild

AbstractA growing number of studies are using accelerometers to examine activity level patterns in aquatic animals. However, given the amount of data generated from accelerometers, most of these studies use loggers that archive acceleration data, thus requiring physical recovery of the loggers or acoustic transmission from within a receiver array to obtain the data. These limitations have restricted the duration of tracking (ranging from hours to days) and/or type of species studied (e.g., relatively sessile species or those returning to predictable areas). To address these logistical challenges, we present and test a satellite-transmitted metric for the remote monitoring of changes in activity, measured via a pop-off satellite archival tag (PSAT) with an integrated accelerometer. Along with depth, temperature, and irradiance for geolocation, the PSAT transmits activity data as a time-series (ATS) with a user-programmable resolution. ATS is a count of high-activity events, relative to overall activity/mobility during a summary period. An algorithm is used to identify the high-activity events from accelerometer data and reports the data as a count per time-series interval. Summary statistics describing the data used to identify high-activity events accompany the activity time-series. In this study, we first tested the ATS activity metric through simulating PSAT output from accelerometer data logger archives, comparing ATS to vectorial dynamic body acceleration. Next, we deployed PSATs with ATS under captive conditions with cobia (Rachycentron canadum). Lastly, we deployed seven pop-off satellite archival tags (PSATs) able to collect and transmit ATS in the wild on adult sandbar sharks (Carcharhinus plumbeus). In the captive trials, we identified both resting and non-resting behavior for species and used logistic regression to compare ATS values with observed activity levels. In captive cobia, ATS was a significant predictor of observed activity levels. For 30-day wild deployments on sandbar sharks, satellites received 57.4–73.2% of the transmitted activity data. Of these ATS datapoints, between 21.9 and 41.2% of records had a concurrent set of temperature, depth, and light measurements. These results suggest that ATS is a practical metric for remotely monitoring and transmitting relative high-activity data in large-bodied aquatic species with variable activity levels, under changing environmental conditions, and across broad spatiotemporal scales.

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Labeling Monoclonal Antibody with α-emitting 211At at High Activity Levels via a Tin Precursor

Cancer Biotherapy & Radiopharmaceuticals ◽

10.1089/cbr.2019.3204 ◽

2020 ◽

Vol 35 (7) ◽

pp. 511-519

Author(s):

Ganesan Vaidyanathan ◽

Oscar R. Pozzi ◽

Jaeyeon Choi ◽

Xiao-Guang Zhao ◽

Shawn Murphy ◽

...

Keyword(s):

Monoclonal Antibody ◽

High Activity ◽

Activity Levels

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Humans can identify cats' affective states from subtle facial expressions

Animal Welfare ◽

10.7120/09627286.28.4.519 ◽

2019 ◽

Vol 28 (4) ◽

pp. 519-531 ◽

Cited By ~ 6

Author(s):

LC Dawson ◽

J Cheal ◽

L Niel ◽

G Mason

Keyword(s):

High Activity ◽

Facial Expressions ◽

Affective State ◽

Care Staff ◽

Personal Contact ◽

Activity Levels ◽

Affective States ◽

Video Clips ◽

Pet Owners ◽

Animal Care

Although cats' popularity as pets rivals that of dogs, cats are little studied, and people's abilities to read this apparently 'inscrutable' species have attracted negligible research. To determine whether people can identify feline emotions from cats' faces, participants (n = 6,329) each viewed 20 video clips of cats in carefully operationalised positively (n = 10) or negatively valenced states (n = 10) (cross-factored with low and high activity levels). Obvious cues (eg open mouths or fully retracted ears) were eliminated. Participants' average scores were low (11.85/20 correct), but overall above chance; furthermore, 13% of participants were individually significantly successful at identifying the valence of cats' states (scoring ≥ 15/20 correct). Women were more successful at this task than men, and younger participants more successful than older, as were participants with professional feline (eg veterinary) experience. In contrast, personal contact with cats (eg pet-owning) had little effect. Cats in positive states were most likely to be correctly identified, particularly if active rather than inactive. People can thus infer cats' affective states from subtle aspects of their facial expressions (although most find this challenging); and some individuals are very good at doing so. Understanding where such abilities come from, and precisely how cats' expressions change with affective state, could potentially help pet owners, animal care staff and veterinarians optimise feline care and welfare.

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