Applications of Biomechanics Analysis in Dance

2021 ◽  
pp. 25-44
Author(s):  
Debora Cantergi ◽  
Laura Ruaro Moraes ◽  
Jefferson Fagundes Loss
Keyword(s):  
Improve Performance ◽  
Injury Rates ◽  
Performance Improvements ◽  
The Past ◽  
High Workload ◽  
Sports Biomechanics

The field of sports biomechanics aims to improve performance and decrease injury rates in athletes. Although first developed thinking of athletes, sports biomechanics analysis was expanded to the dance field due to the similarities between athletes and dancers, including high workload, high injuries incidence, and the constant seeking of performance improvements. For the past few decades, a field focused only on dancers, thus called “dance biomechanics,” has used sports biomechanics literature and produced its own knowledge analysing different dancers and many types of dance. Many questions have been made about dance, and some of those have been addressed by dance biomechanics. This chapter will explain how science has tried to answer many of them.

Recently-Developed Aluminium Solutions for Aerospace Applications

2006 ◽  
Vol 519-521 ◽  
pp. 1271-1278 ◽  
Author(s):  
Timothy Warner
Keyword(s):  
New Technologies ◽  
Damage Tolerance ◽  
Grain Structure ◽  
Space Applications ◽  
Metallic Structures ◽  
Performance Improvements ◽  
The Past ◽  
Aerospace Applications ◽  
Aerospace Alloys ◽  
Damage Tolerant

Two principal approaches are available to materials’ engineers to improve the overall cost-weight balance of metallic airframe structures: improving alloy performance and optimising materials’ utilisation. Although both approaches have been successful in the past, they are most effective when applied concomitantly. The Aluminium industry has a long record of improving aerospace alloys’ performance. Nevertheless, even in apparently well-explored alloy systems such as the 7xxx family, products with improved damage tolerance-strength balances have recently been developed, thanks to an improved understanding of the optimum Zn-Mg-Cu combinations for the required property balances but also to developments in casting capability. Novel dispersoids and dispersoid combinations have enabled further improvements of the performance of existing alloy families. For example, appropriate Sc and Zr additions have a significant impact on the grain structure of 2xxx alloys and thus on performance. Another high potential approach for alloy performance improvements is the optimisation of Al-Cu-Li-(Mg-Ag-Zn) alloys. These so-called “third generation Al-Li alloys” were principally developed for military and space applications; in order to meet the demands of future commercial airframes, more damage tolerant variants are being developed. AA2198 and AA2050 are used to illustrate the potential of these higher damage tolerance Al-Cu-Li alloys. However, materials performance improvements are only part of the potential developments of metallic solutions for airframes. Further gains of a similar magnitude in component weight and cost can be achieved by applying new technologies and new design solutions to metallic structures. The future of metallic airframes will depend on the concomitant application of both these approaches.

scholarly journals MEMAHAMI “MAKNA LAIN” INSENTIF TERHADAP KINERJA BANK YANG HOLISTIK: PERSPEKTIF INTERDISIPLINER

2019 ◽  
Vol 4 (01) ◽  
Author(s):  
Driana Leniwati
Keyword(s):  
Financial Incentives ◽  
Qualitative Data ◽  
Psychological Needs ◽  
Customer Relationship ◽  
Improve Performance ◽  
Performance Improvements ◽  
Interpretive Approach ◽  
Self Actualization ◽  
The Right

Theoretically, financial incentives motivate the employee to improve performance but also found empirical evidence that shows the financial incentives are often inversely proportional (Young and Lewis 1995; Jenkins et al 1998). Base on the phenomena is interesting to look more at the meaning of incentives for Customer Relationship Manager (CRM) in the performance improvements. This study uses an interdisciplinary perspective of management accounting, psychology, and spirituality and borrows psychological needs and spiritual theories to see the motivation of CRM in improving performance based on their needs. The method used is a case study with an interpretive approach. Qualitative data is obtained by conducting interviews with several CRM in one of a commercial bank. The results of this study found there are other meanings of incentives for CRM. These meanings are inclined about security, loyalty, and accountability for their work, the meaning of appreciation, self-actualization, and spiritual which defeats the meaning of basic needs. The meanings that arise not depending on the period of work or position but more on the awareness of each. Understanding these meanings can be taken into consideration in making the right incentive scheme for employees. So that, incentives can really motivate employees to improve their performance.

Combination of Forecasts in Data Mining

2011 ◽  
pp. 589-593
Author(s):  
Chi Kin Chan
Keyword(s):  
Data Mining ◽  
Traditional Approach ◽  
Forecast Accuracy ◽  
Performance Improvements ◽  
The Past ◽  
Aggregate Information ◽  
Forecasting Methods ◽  
Forecasting Method ◽  
Combination Of Forecasts ◽  
Single Method

The traditional approach to forecasting involves choosing the forecasting method judged most appropriate of the available methods and applying it to some specific situations. The choice of a method depends upon the characteristics of the series and the type of application. The rationale behind such an approach is the notion that a “best” method exists and can be identified. Further that the “best” method for the past will continue to be the best for the future. An alternative to the traditional approach is to aggregate information from different forecasting methods by aggregating forecasts. This eliminates the problem of having to select a single method and rely exclusively on its forecasts. Considerable literature has accumulated over the years regarding the combination of forecasts. The primary conclusion of this line of research is that combining multiple forecasts leads to increased forecast accuracy. This has been the result whether the forecasts are judgmental or statistical, econometric or extrapolation. Furthermore, in many cases one can make dramatic performance improvements by simply averaging the forecasts.

Performance Improvements at the Boardman Coal Plant as a Result of Testing and Input/Loss Monitoring

2002 ◽  
Author(s):  
David A. T. Rodgers ◽  
Fred D. Lang
Keyword(s):  
Systems Approach ◽  
Heat Rate ◽  
Powder River Basin ◽  
Heating Value ◽  
Performance Improvements ◽  
The Past ◽  
Second Law Analysis ◽  
On Line ◽  
Loss Method ◽  
The Impact

This paper presents methods and practices of improving heat rate through testing and, most importantly, through heat rate monitoring. This work was preformed at Portland General Electric’s 585 MWe Boardman Coal Plant, which used two very different Powder River Basin and Utah coals ranging from 8,100 to over 12,500 Btu/lbm. Such fuel variability, common now among coal-fired units was successfully addressed by Boardman’s on-line monitoring techniques. Monitoring has evolved over the past ten years from a Controllable Parameters approach (offering disconnected guidance), to a systems approach in which fuel chemistry and heating value are determined on-line, their results serving as a bases for Second Law analysis. At Boardman on-line monitoring was implemented through Exergetic System’s Input/Loss Method. Boardman was one of the first half-dozen plants to fully implement Input/Loss. This paper teaches through discussion of eight in-plant examples. These examples discuss heat rate improvements involving both operational configurations and plant components: from determining changes in coal chemistry and composite heating value on-line; to recognizing the impact of individual rows of burners and pulverizer configurations; to air leakage identifications; to examples of hour-by-hour heat rate improvements; comparison to effluent flows; etc. All of these cases have applicability to any coal-fired unit.

scholarly journals Injury Incidence, Patterns, and Risk Factors in Functional Training Athletes in an Asian Population

2020 ◽  
Vol 8 (10) ◽  
pp. 232596712095741
Author(s):  
Timothy Tsin Jien Cheng ◽  
Azura Mansor ◽  
Yi Zhen Lim ◽  
M. Tanveer Hossain Parash
Keyword(s):  
Risk Factors ◽  
Asian Population ◽  
Injury Incidence ◽  
Descriptive Data ◽  
Injury Rates ◽  
Functional Training ◽  
The Past ◽  
Injury Occurrence ◽  
Electronic Questionnaires ◽  
Average Fitness

Background: Functional training, also known as CrossFit, is a unique sport that combines weightlifting, gymnastics, and metabolic conditioning into a single program. There are an estimated 50 functional training centers in Malaysia. Purpose: To analyze the injury rates, patterns, and risk factors of functional training/CrossFit. Study Design: Descriptive epidemiology study. Methods: Electronic questionnaires were distributed to 244 participants from 15 centers in the country. Descriptive data regarding the athletes, injury occurrence within the past 6 months, injury details, and risk factors were collected. Results: Of the 244 athletes, 112 (46%) developed at least 1 new injury over the previous 6 months. Injury rates were significantly higher in athletes from nonaffiliate training gyms compared with CrossFit-affiliated gyms, in athletes with previous injuries, and in those who perceived themselves as having more than average fitness. Conclusion: Coaches and athletes need to be more aware of risk factors for injury to enable safer and better training strategies.

Performance Investigation of a Small Horizontal Axis Wind Turbine Equipped With Flexible Blades

2015 ◽  
Author(s):  
David W. MacPhee ◽  
Asfaw Beyene
Keyword(s):  
Wind Turbine ◽  
Turbine Rotor ◽  
Control Device ◽  
External Loading ◽  
Blade Design ◽  
Improve Performance ◽  
Horizontal Axis Wind Turbine ◽  
Pitch Control ◽  
The Past ◽  
Flexible Material

Wind turbine technology has improved dramatically over the past decade, to the extent where wind turbine diameters are expected to soon exceed 160m and top 10MW in rated power output. While the development of these larger turbines has become immensely sophisticated, relatively little effort is being put forth to improve performance of smaller wind turbines, typically used in applications otherwise unsuitable for large installations. In this paper we investigate both computationally and experimentally the feasibility of a morphing turbine rotor, wherein blades are constructed of a flexible material and permitted to bend passively in response to external loading. The results indicate that the flexible blades can act as a passive pitch control device, resulting in significant improvements in efficiency when compared to a traditional rigid-blade design.

Survey Research in Disaster Public Health

2000 ◽  
Vol 15 (1) ◽  
pp. 65-71 ◽  
Author(s):  
Kimberley I. Shoaf ◽  
Corrinne Peek-Asa
Keyword(s):  
Public Health ◽  
Risk Factors ◽  
Health Outcomes ◽  
Data Sources ◽  
Health Impacts ◽  
Northridge Earthquake ◽  
Injury Rates ◽  
Telephone Interviews ◽  
The Past ◽  
Human Losses

AbstractIntroduction:While much has been learned during the past three decades of research in the disaster field, there still are some major gaps in knowledge. The need for more and better research on the health aspects of disasters is especially noted. Often, research into the health aspects has been anecdotal in nature and suffers from poor documentation of human losses. However, there are valid research methodologies that can be adapted to better document losses, evaluate interventions, and set priorities for investments to reduce the burden on the health of the population caused by disasters.Methods:A number of data sources are used to demonstrate the potential uses of surveys in disaster health. The majority of the examples reflect data collected by telephone interviews following earthquakes in California.Results:By using comparable instruments, it is possible to track the changes in preparedness levels across time. Similarly, it is possible to compare injury rates or other health impacts across time, place, and disaster type. In addition, risk factors can be identified for health outcomes. For example, in the Northridge earthquake, those over age 60 years were three times more likely to be hospitalized or die as a result of injuries than were those aged 20–59 years. Interventions can be evaluated. Slightlyless than half of the respondents of the El Niño study had heard messages about preparing for the on-coming weather and their preparedness levels were not significantly different from those who had not heard about preparing for the weather.Conclusion:Surveys are useful tools for identifying and evaluating the health impacts of disasters.

scholarly journals ePlant in 2021: New Species, Viewers, Data Sets, and Widgets

2021 ◽  
Author(s):  
Ben Waese-Perlman ◽  
Asher Pasha ◽  
Chantal Ho ◽  
Amirahmad Azhieh ◽  
Yushan Liu ◽  
...  
Keyword(s):  
Arabidopsis Thaliana ◽  
Cannabis Sativa ◽  
Camelina Sativa ◽  
Data Sets ◽  
Rna Seq ◽  
Web Page ◽  
Improve Performance ◽  
Important Species ◽  
The Past ◽  
Metabolic Reactions

AbstractePlant was introduced in 2017 for exploring large Arabidopsis thaliana data sets from the kilometre to nanometre scales. In the past four years we have used the ePlant framework to develop ePlants for 15 agronomically-important species: maize, poplar, tomato, Camelina sativa, soybean, potato, barley, Medicago truncatula, eucalyptus, rice, willow, sunflower, Cannabis sativa, wheat and sugarcane. We also updated the interface to improve performance and accessibility, and added two new views to the Arabidopsis ePlant – the Navigator and Pathways viewers. The former shows phylogenetic relationships between homologs in other species and their expression pattern similarities, with links to view data for those genes in the respective ePlants. The latter shows Plant Reactome metabolic reactions. We also describe new Arabidopsis data sets including single cell RNA-seq data from roots, and how to embed ePlant eFP expression pictographs into any web page.

scholarly journals AN OVERVIEW OF TIME-DOMAIN COMPUTATIONAL METHODS FOR AEROELASTIC INSTABILITIES OF MULTI-STAGE COMPRESSOR

2020 ◽  
Vol 4 ◽  
pp. 114-127
Author(s):  
Mehdi Vahdati ◽  
Fanzhou Zhao ◽  
Prathiban Sureshkumar
Keyword(s):  
Time Domain ◽  
Forced Response ◽  
Imperial College ◽  
Aeroelastic Stability ◽  
Improve Performance ◽  
Campbell Diagram ◽  
The Past ◽  
Multi Stage ◽  
Improved Performance ◽  
Turbine Design

Modern gas turbine design continues to move towards improved performance, reduced weight and reduced cost. As turbomachinery blade aerofoils are thinned to improve performance and reduce weight, aeroelastic issues such as flutter, forced response and stall driven vibrations become more predominant. Moreover, as the use of blisks (blade-integrated-disks) with very low mechanical damping becomes more common in modern compressor designs, accurate prediction of compressor aeroelastic stability in a multi-row environment becomes vital. This paper presents a review of aeroelasticity research carried out at Rolls-Royce Vibration University Technology Centre (VUTC) at Imperial College over the past 20 years. The aim is to summarise the unusual aeroelastic issues observed in multi-stage compressors into one document so that it can be used by other researchers in the field. Blade passing forced response is not addressed here as their existence can be detected by a Campbell diagram. The results presented here are based on numerical methods but where possible data from experiments are used to verify the numerical findings.

scholarly journals The Effects of Higher Levels of Immersion on Procedure Memorization Performance and Implications for Educational Virtual Environments

2010 ◽  
Vol 19 (6) ◽  
pp. 527-543 ◽  
Author(s):  
Eric D. Ragan
Keyword(s):  
Virtual Environments ◽  
Virtual Environment ◽  
Spatial Information ◽  
Field Of View ◽  
Spatial Cues ◽  
Improve Performance ◽  
Conceptual Information ◽  
Performance Improvements ◽  
Head Mounted Displays ◽  
Display Walls

Researchers have proposed that immersion could have advantages for tasks involving abstract mental activities, such as conceptual learning; however, there are few empirical results that support this idea. We hypothesized that higher levels of immersion would benefit such tasks if the mental activity could be mapped to objects or locations in a 3D environment. To investigate this hypothesis, we performed an experiment in which participants memorized procedures in a virtual environment and then attempted to recall those procedures. We aimed to understand the effects of three components of immersion on performance. The results demonstrate that a matched software field of view (SFOV), a higher physical field of view (FOV), and a higher field of regard (FOR) all contributed to more effective memorization. The best performance was achieved with a matched SFOV and either a high FOV or a high FOR, or both. In addition, our experiment demonstrated that memorization in a virtual environment could be transferred to the real world. The results suggest that, for procedure memorization tasks, increasing the level of immersion even to moderate levels, such as those found in head mounted displays (HMDs) and display walls, can improve performance significantly compared to lower levels of immersion. Hypothesizing that the performance improvements provided by higher levels of immersion can be attributed to enhanced spatial cues, we discuss the values and limitations of supplementing conceptual information with spatial information in educational VR.

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