scholarly journals Long-Term Tracking of Group-Housed Livestock Using Keypoint Detection and MAP Estimation for Individual Animal Identification

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3670
Author(s):  
Eric T. Psota ◽  
Ty Schmidt ◽  
Benny Mote ◽  
Lance C. Pérez
Keyword(s):  
Activity Levels ◽  
Group Setting ◽  
Tag Identification ◽  
Animal Science ◽  
Animal Identification ◽  
Probabilistic Tracking ◽  
Dataset Analysis ◽  
Fixed Cardinality ◽  
Entire Dataset

Tracking individual animals in a group setting is a exigent task for computer vision and animal science researchers. When the objective is months of uninterrupted tracking and the targeted animals lack discernible differences in their physical characteristics, this task introduces significant challenges. To address these challenges, a probabilistic tracking-by-detection method is proposed. The tracking method uses, as input, visible keypoints of individual animals provided by a fully-convolutional detector. Individual animals are also equipped with ear tags that are used by a classification network to assign unique identification to instances. The fixed cardinality of the targets is leveraged to create a continuous set of tracks and the forward-backward algorithm is used to assign ear-tag identification probabilities to each detected instance. Tracking achieves real-time performance on consumer-grade hardware, in part because it does not rely on complex, costly, graph-based optimizations. A publicly available, human-annotated dataset is introduced to evaluate tracking performance. This dataset contains 15 half-hour long videos of pigs with various ages/sizes, facility environments, and activity levels. Results demonstrate that the proposed method achieves an average precision and recall greater than 95% across the entire dataset. Analysis of the error events reveals environmental conditions and social interactions that are most likely to cause errors in real-world deployments.

Mediators of Estimates of Brief Time Intervals in Elderly Domiciled Males

1986 ◽  
Vol 21 (3) ◽  
pp. 211-225 ◽  
Author(s):  
David Licht ◽  
John B. Morganti ◽  
Milton F. Nehrke ◽  
Gary Heiman
Keyword(s):  
Production Method ◽  
Passage Time ◽  
Future Research ◽  
Value Of Time ◽  
Activity Levels ◽  
Time Intervals ◽  
Time To Death ◽  
Institutional Settings ◽  
Time Estimates

Conflicting interpretations questioning whether brief intervals of real time are perceived as passing more or less rapidly with increasing age have been reported. Reasons for these inconsistent results lie in semantic confusions, in variations in methodology, and in the effects of other mediating variables. The present study examined relationships between age, value of time over both the short and the long term, perceived time to death, self-perceived activity levels, and estimates of brief time intervals in a sample of older institutionalized males. The production method was used to obtain the estimates of time passage. Time intervals were increasingly underestimated with advancing age, indicating that time units are shorter with increasing age. While a number of other variables were interrelated, the only other factor consistently related to time estimates was the short-term value of time. Implications for future research and for interventions in institutional settings are discussed.

scholarly journals Technology for monitoring everyday prosthesis use: a systematic review

2020 ◽  
Author(s):  
Alix Chadwell ◽  
Laura Diment ◽  
Encarna Micó Amigo ◽  
Dafne Zuleima Morgado Ramirez ◽  
Alexander Dickinson ◽  
...  
Keyword(s):  
Upper Limb ◽  
Lower Limb ◽  
Battery Life ◽  
Activity Levels ◽  
Everyday Activity ◽  
Prosthetic Devices ◽  
Clinical Scores ◽  
Standard Clinical Practice ◽  
The Cost

BackgroundUnderstanding how prostheses are used in everyday life is central to the design, provision and evaluation of prosthetic devices and associated services. This paper reviews the scientific literature on methodologies and technologies that have been used to assess the daily use of both upper- and lower-limb prostheses. It discusses the types of studies that have been undertaken, the technologies used to monitor physical activity, the benefits of monitoring daily living and the barriers to long-term monitoring.MethodsA systematic literature search was conducted in PubMed, Web of Science, Scopus, CINAHL and EMBASE of studies that monitored the activity of prosthesis-users during daily-living.Results60 lower-limb studies and 9 upper-limb studies were identified for inclusion in the review. The first studies in the lower-limb field date from the 1990s and the number has increased steadily since the early 2000s. In contrast, the studies in the upper-limb field have only begun to emerge over the past few years. The early lower-limb studies focused on the development or validation of actimeters, algorithms and/or scores for activity classification. However, most of the recent lower-limb studies used activity monitoring to compare prosthetic components. The lower-limb studies mainly used step-counts as their only measure of activity, focusing on the amount of activity, not the type and quality of movements. In comparison, the small number of upper-limb studies were fairly evenly spread between development of algorithms, comparison of everyday activity to clinical scores, and comparison of different prosthesis user populations. Most upper-limb papers reported the degree of symmetry in activity levels between the arm with the prosthesis and the intact arm.ConclusionsActivity monitoring technology used in conjunction with clinical scores and user feedback, offers significant insights into how prostheses are used and whether they meet the user’s requirements. However, the cost, limited battery-life and lack of availability in many countries mean that using sensors to understand the daily use of prostheses and the types of activity being performed has not yet become a feasible standard clinical practice. This review provides recommendations for the research and clinical communities to advance this area for the benefit of prosthesis users.

scholarly journals Bilateral compartment syndrome of the lower limbs after urological surgery in the lithotomy position: a clinical case

2019 ◽  
Vol 18 ◽  
Author(s):  
José Maciel Caldas dos Reis ◽  
Lauro José Mendes Queiroz ◽  
Pablo Ferreira Mello ◽  
Renan Kleber Costa Teixeira ◽  
Fábio de Azevedo Gonçalves
Keyword(s):  
Compartment Syndrome ◽  
Wound Closure ◽  
Early Recognition ◽  
Acute Compartment Syndrome ◽  
Lower Limbs ◽  
Lithotomy Position ◽  
Activity Levels ◽  
Urological Surgery ◽  
Baseline Activity

Abstract Acute compartment syndrome of the lower extremities after urological surgery in the lithotomy position is a rare but potentially devastating clinical and medicolegal problem. We report the case of a 67-year-old male who underwent laparoscopic prostatectomy surgery to treat cancer, spending 180 minutes in surgery. Postoperatively, the patient developed acute compartment syndrome of both legs, needing emergency bilateral four-compartment fasciotomies, with repeated returns to the operating room for second-look procedures. The patient also exhibited delayed wound closure. He regained full function within 6 months, returning to unimpaired baseline activity levels. This report aims to highlight the importance of preoperative awareness of this severe complication which, in conjunction with early recognition and immediate surgical management, may mitigate long-term adverse sequelae and improve postoperative outcomes.

scholarly journals Adolescent wine consumption is inversely associated with long-term weight gain: results from follow-up of 20 or 22 years

2019 ◽  
Vol 18 (1) ◽  
Author(s):  
Pratiksha Poudel ◽  
Kamila Ismailova ◽  
Lars Bo Andersen ◽  
Sofus C. Larsen ◽  
Berit L. Heitmann
Keyword(s):  
Weight Gain ◽  
Alcohol Consumption ◽  
Smoking Status ◽  
Alcoholic Beverage ◽  
Activity Levels ◽  
Inverse Association ◽  
Wine Consumption ◽  
The Relationship

Abstract Background Several studies have suggested a link between the type of alcoholic beverage consumption and body weight. However, results from longitudinal studies have been inconsistent, and the association between adolescent alcohol consumption long-term weight gain has generally not been examined. Methods The study was based on data from 720 Danish adolescents aged between 15 to 19 years at baseline from the Danish Youth and Sports Study (YSS). Self-reported alcohol use, height, weight, smoking, social economic status (SES) and physical activity levels were assessed in baseline surveys conducted in 1983 and 1985, and in the follow up survey which was conducted in 2005. Multiple linear regression analyses were used to examine the association between alcohol consumption in adolescence and subsequent weight gain later in midlife. Results There was no significant association between total alcohol consumption during adolescence and change in BMI into midlife (P = 0.079) (β − 0.14; 95% CI -0.28, 0.005). Wine consumption was found to be inversely associated to subsequent BMI gain (P = 0.001) (β − 0.46; 95% CI -0.82, − 0.09) while the results were not significant for beer and spirit. The relationship did not differ by gender, but smoking status was found to modify the relationship, and the inverse association between alcohol and BMI gain was seen only among non-smokers (P = 0.01) (β − 0.24; 95% CI -0.41, − 0.06) while no association was found among smokers. Neither adolescent nor attained socioeconomic status in adulthood modified the relationship between alcohol intake and subsequent BMI gain. Conclusion Among non-smoking adolescents, consumption of alcohol, and in particular wine, seems to be associated with less weight gain until midlife. Trial registration The YSS cohort was retrospectively registered on August 2017. (Study ID number: NCT03244150).

scholarly journals Maximal STAT5-Induced Proliferation and Self-Renewal at Intermediate STAT5 Activity Levels

2008 ◽  
Vol 28 (21) ◽  
pp. 6668-6680 ◽  
Author(s):  
Albertus T. J. Wierenga ◽  
Edo Vellenga ◽  
Jan Jacob Schuringa
Keyword(s):  
Gene Expression ◽  
Cell Fate ◽  
Target Genes ◽  
Expression Patterns ◽  
Activity Levels ◽  
Dependent Manner ◽  
Self Renewal ◽  
Hematopoietic Stem ◽  
Cell Fate Decisions

ABSTRACT The level of transcription factor activity critically regulates cell fate decisions, such as hematopoietic stem cell (HSC) self-renewal and differentiation. We introduced STAT5A transcriptional activity into human HSCs/progenitor cells in a dose-dependent manner by overexpression of a tamoxifen-inducible STAT5A(1*6)-estrogen receptor fusion protein. Induction of STAT5A activity in CD34+ cells resulted in impaired myelopoiesis and induction of erythropoiesis, which was most pronounced at the highest STAT5A transactivation levels. In contrast, intermediate STAT5A activity levels resulted in the most pronounced proliferative advantage of CD34+ cells. This coincided with increased cobblestone area-forming cell and long-term-culture-initiating cell frequencies, which were predominantly elevated at intermediate STAT5A activity levels but not at high STAT5A levels. Self-renewal of progenitors was addressed by serial replating of CFU, and only progenitors containing intermediate STAT5A activity levels contained self-renewal capacity. By extensive gene expression profiling we could identify gene expression patterns of STAT5 target genes that predominantly associated with a self-renewal and long-term expansion phenotype versus those that identified a predominant differentiation phenotype.

Activity Behaviors of University Staff in the Workplace: A Pilot Study

2015 ◽  
Vol 12 (8) ◽  
pp. 1128-1132 ◽  
Author(s):  
Marie-Louise Bird ◽  
Cecilia Shing ◽  
Casey Mainsbridge ◽  
Dean Cooley ◽  
Scott Pedersen
Keyword(s):  
Pilot Study ◽  
Sedentary Time ◽  
Sitting Time ◽  
Moderate Activity ◽  
Activity Levels ◽  
University Staff ◽  
Light Activity ◽  
The Mean ◽  
The Relationship

Background:Sedentary behavior is related to metabolic syndrome and might have implications for the long-term health of workers in a low activity environment. The primary aim of this pilot study was to determine activity levels of adults working at a University during work hours. A secondary aim was to determine the relationship between actual and perceived activity levels.Methods:Activity levels of university staff (n = 15, male = 7, age = 53 ± 7 years, BMI = 26.5 ± 2.5kg·m2) were monitored over 5 consecutive workdays using SenseWear accelerometers, then participants completed a questionnaire of their perception of workplace sedentary time.Results:Each participant spent 71.5 ± 13.1% (358 ± 78 min) of their workday being sedentary (< 1.5 METs), 15.6 ± 9.0% involved in light activity (1.5–3 METs), 11.7 ± 10.0% in moderate activity (3–5 METs), and 1.1 ± 1.3% in vigorous activity (> 5 METs) (P < .0001). The mean difference between actual (SenseWear < 1.5 METs) and perceived sitting time was –2 ± 32%; however, perceived sedentary time was reported with a range of under-to-over estimation of –75% to 51%.Conclusion:This pilot study identifies long periods of low metabolic activity during the workday and poor perception of individual sedentary time. Interventions to reduce sedentary time in the workplace may be necessary to ensure that the work environment does not adversely affect long-term health.

Long-term variations in the geomagnetic activity level Part II: Ascending phases of sunspot cycles

1994 ◽  
Vol 12 (10/11) ◽  
pp. 1065-1070 ◽  
Author(s):  
V. Mussino ◽  
O. Borello Filisetti ◽  
M. Storini ◽  
H. Nevanlinna
Keyword(s):  
Correlation Coefficient ◽  
Geomagnetic Activity ◽  
Activity Level ◽  
Activity Levels ◽  
Data Set ◽  
The Past ◽  
Long Term Trends ◽  
A Minor ◽  
Long Term Variations

Abstract. Monthly averages of the Helsinki Ak-values have been reduced to the equivalent aa-indices to extend the aa-data set back to 1844. A periodicity of about five cycles was found for the correlation coefficient (r) between geomagnetic indices and sunspot numbers for the ascending phases of sunspot cycles 9 to 22, confirming previous findings based on a minor number of sunspot cycles. The result is useful to researchers in topics related to solar-terrestrial physics, particularly for the interpretation of long-term trends in geomagnetic activity during the past, and to forecast geomagnetic activity levels in the future.

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