Meta-analysis of the effects of microclimate cooling systems on human performance under thermal stressful environments: Potential applications to occupational workers

2015 ◽  
Vol 49-50 ◽  
pp. 16-32 ◽  
Author(s):  
Albert P.C. Chan ◽  
Wenfang Song ◽  
Yang Yang
Actuators ◽  
2018 ◽  
Vol 7 (3) ◽  
pp. 48 ◽  
Author(s):  
Pinar Boyraz ◽  
Gundula Runge ◽  
Annika Raatz

In this systematic survey, an overview of non-conventional actuators particularly used in soft-robotics is presented. The review is performed by using well-defined performance criteria with a direction to identify the exemplary and potential applications. In addition to this, initial guidelines to compare the performance and applicability of these novel actuators are provided. The meta-analysis is restricted to five main types of actuators: shape memory alloys (SMAs), fluidic elastomer actuators (FEAs), shape morphing polymers (SMPs), dielectric electro-activated polymers (DEAPs), and magnetic/electro-magnetic actuators (E/MAs). In exploring and comparing the capabilities of these actuators, the focus was on eight different aspects: compliance, topology-geometry, scalability-complexity, energy efficiency, operation range, modality, controllability, and technological readiness level (TRL). The overview presented here provides a state-of-the-art summary of the advancements and can help researchers to select the most convenient soft actuators using the comprehensive comparison of the suggested quantitative and qualitative criteria.


1981 ◽  
Vol 25 (1) ◽  
pp. 74-78 ◽  
Author(s):  
P. A. Hancock

The current communication seeks to extend the description of human performance in thermally stressful environments and reports on the systematic changes in impairment onset with tasks requiring differing levels of response complexity in varying time, Effective Temperature (E.T.) conditions. These thresholds of performance decrement are subsequently equated with absolute rises in operator deep body temperature.


2021 ◽  
Author(s):  
Edda van Meurs ◽  
Jona Greve ◽  
Bernd Strauss

Social facilitation is one of the most prominent and oldest research topics in (social) psychology. It is the “increase in response merely from the sight or sound of others making the same movement” (Allport, 1924, p. 262) or conditions of “sheer presence of other individuals” (Zajonc, 1965, p. 269). Experiments found facilitation, inhibition or no effect (Bond & Titus, 1983), argued to be a function of task difficulty (Zajonc, 1965). In humans, cognitive tasks have been studied more frequently than motor tasks. Skill-based tasks (i.e., coordination-based) are hypothesized to be negatively affected by the presence of others due to a higher cognitive load (overload hypothesis, Manstead & Semin, 1980), whereas performances in effort-based tasks (i.e., condition-based) should profit due to increased readiness.In a first step, a systematic search of several databases was conducted, identifying articles comparing motor-task performance in the presence of or in coaction with others and alone. We identified N=72 articles investigating motor-related human performance (5,419 participants), published between 1924 and 2019. Effort-based tasks appeared to be facilitated, while within skill-based tasks, differences between tasks performed under time pressure and precision pressure were identified (cf. Bond & Titus, 1983).In a second step, we conducted a meta-analysis (N=28) with subsequent moderator analyses. The results generally align with the systematic review. Moreover, the experimenter’s influential presence was emphasized. Finally, this review supports the overload hypothesis and draws conclusions for the state of the theory and experimental limitations specific to social-facilitation research on motor tasks.


2019 ◽  
Vol 25 (1) ◽  
pp. 69-87 ◽  
Author(s):  
Kevin M. Green ◽  
Brian A. Crawford ◽  
Katherine A. Williamson ◽  
Amielle A. DeWan

The rapidly increasing rate of biodiversity and habitat loss across the globe can be largely attributed to human behaviors. Conservation practitioners have struggled to influence behaviors through traditional awareness-raising efforts and been slow to adopt techniques from the behavioral sciences such as social marketing to change behaviors and improve conservation outcomes. We conducted a meta-analysis of 84 social marketing campaigns that applied the same theory of change for human behavior to disrupt patterns of destructive activities such as illegal hunting and overfishing. Questionnaires of more than 20,000 individuals across 18 countries measured changes in behavioral variables pre- and post-campaigns, including knowledge, attitudes, interpersonal communication, behavior intention, and behavior. For each campaign, we extracted data and validated data for behavioral variables, estimated mean effect sizes for each variable across all campaigns, and used path analysis to measure relationships among variables included in seven different models. On average, all behavioral variables increased significantly ( p < .001) from 16.1 to 25.0 percentage points following social marketing campaigns. The full model used a combination of all variables and had the highest explained variation in behavior change (71%). Our results highlight the importance of (a) incorporating behavioral theory and social marketing into traditional conservation programs to address threats to biodiversity across the globe; (b) designing interventions that leverage a combination of community knowledge, attitudes, and communication about a behavior; and (c) facilitating more opportunities for interpersonal communication as a main driver of behavior change. We conclude with potential applications for practitioners interested in behavior change campaigns.


2021 ◽  
pp. 174569162097477
Author(s):  
Arne Güllich ◽  
Brooke N. Macnamara ◽  
David Z. Hambrick

What explains the acquisition of exceptional human performance? Does a focus on intensive specialized practice facilitate excellence, or is a multidisciplinary practice background better? We investigated this question in sports. Our meta-analysis involved 51 international study reports with 477 effect sizes from 6,096 athletes, including 772 of the world’s top performers. Predictor variables included starting age, age of reaching defined performance milestones, and amounts of coach-led practice and youth-led play (e.g., pickup games) in the athlete’s respective main sport and in other sports. Analyses revealed that (a) adult world-class athletes engaged in more childhood/adolescent multisport practice, started their main sport later, accumulated less main-sport practice, and initially progressed more slowly than did national-class athletes; (b) higher performing youth athletes started playing their main sport earlier, engaged in more main-sport practice but less other-sports practice, and had faster initial progress than did lower performing youth athletes; and (c) youth-led play in any sport had negligible effects on both youth and adult performance. We illustrate parallels from science: Nobel laureates had multidisciplinary study/working experience and slower early progress than did national-level award winners. The findings suggest that variable, multidisciplinary practice experiences are associated with gradual initial discipline-specific progress but greater sustainability of long-term development of excellence.


2019 ◽  
Author(s):  
Lucas P. Henry ◽  
Marjolein Bruijning ◽  
Simon K.G. Forsberg ◽  
Julien F. Ayroles

AbstractThe microbiome shapes many traits in hosts, but we still do not understand how it influences host evolution. To impact host evolution, the microbiome must be heritable and have phenotypic effects on the host. However, the complex inheritance and context-dependence of the microbiome challenges traditional models of organismal evolution. Here, we take a multifaceted approach to identify conditions in which the microbiome influences host evolutionary trajectories. We explore quantitative genetic models to highlight how microbial inheritance and phenotypic effects can modulate host evolutionary responses to selection. We synthesize the literature across diverse taxa to find common scenarios of microbiome driven host evolution. First, hosts may leverage locally adapted microbes, increasing survivorship in stressful environments. Second, microbial variation may increase host phenotypic variation, enabling exploration of novel fitness landscapes. We further illustrate these effects by performing a meta-analysis of artificial selection in Drosophila, finding that bacterial diversity also frequently responds to host selection. We conclude by outlining key avenues of research and experimental procedures to improve our understanding of the complex interplay between hosts and microbiomes. By synthesizing perspectives through multiple conceptual and analytical approaches, we show how microbiomes can influence the evolutionary trajectories of hosts.


2021 ◽  
Vol 11 (11) ◽  
pp. 1179
Author(s):  
Gloria Ravegnini ◽  
Martina Ferioli ◽  
Alessio Giuseppe Morganti ◽  
Lidia Strigari ◽  
Maria Abbondanza Pantaleo ◽  
...  

Background: Recently, artificial intelligence (AI) with computerized imaging analysis is attracting the attention of clinicians, in particular for its potential applications in improving cancer diagnosis. This review aims to investigate the contribution of radiomics and AI on the radiological preoperative assessment of patients with uterine sarcomas (USs). Methods: Our literature review involved a systematic search conducted in the last ten years about diagnosis, staging and treatments with radiomics and AI in USs. The protocol was drafted according to the systematic review and meta-analysis preferred reporting project (PRISMA-P) and was registered in the PROSPERO database (CRD42021253535). Results: The initial search identified 754 articles; of these, six papers responded to the characteristics required for the revision and were included in the final analysis. The predominant technique tested was magnetic resonance imaging. The analyzed studies revealed that even though sometimes complex models included AI-related algorithms, they are still too complex for translation into clinical practice. Furthermore, since these results are extracted by retrospective series and do not include external validations, currently it is hard to predict the chances of their application in different study groups. Conclusion: To date, insufficient evidence supports the benefit of radiomics in USs. Nevertheless, this field is promising but the quality of studies should be a priority in these new technologies.


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