A Collaboration Model for Knowledge Transfer from Sport Science to High Performance Canadian Interuniversity Coaches

2009 ◽  
Vol 2 (1) ◽  
pp. 99-122 ◽  
Author(s):  
Ian Reade ◽  
Wendy Rodgers
Keyword(s):  
Knowledge Transfer ◽  
High Performance ◽  
Structural Characteristics ◽  
Personal Characteristics ◽  
Sport Organizations ◽  
Collaborative Relationships ◽  
Sport Science ◽  
Different Types ◽  
Effective Transfer ◽  
University Settings

This study examined the extent to which improved collaboration between sport scientists and coaches of high performance athletes might improve knowledge transfer in sport. The research includes a review of the extant literature on collaboration to develop a model of successful collaborative practice. The model is then empirically tested to determine whether such a model can improve our knowledge of the mechanisms for effective knowledge transfer in sport. To accomplish our purpose, we interviewed 38 high performance coaches employed in a variety of university settings and from a variety of sports to determine the factors that inhibit and facilitate, knowledge transfer. The model was used to guide the data analysis. The results showed that 14 of the coaches interviewed were involved in collaborative relationships with sport scientists and the factors in the model did help to explain why some coaches collaborate while other coaches may not. Factors such as different types of motivation, the personal characteristics of the coach and the structural characteristics within which the coach operates seemed to influence the extent of the collaboration between the sport scientist and the coach and ultimately the effective transfer of sport science knowledge. Sport organizations can apply these findings to improve the effectiveness of knowledge transfer to coaches of high performance athletes.

Static and Dynamic Characteristics of Thermoelectric Ceramics

2007 ◽  
Vol 336-338 ◽  
pp. 826-830
Author(s):  
Tsuyoshi Kajitani ◽  
Yuzuru Miyazaki ◽  
Yasuhuri Ono ◽  
Shahnaz Begum ◽  
Kunio Yubuta
Keyword(s):  
High Performance ◽  
Structural Characteristics ◽  
High Resolution Electron Microscopy ◽  
Low Energy ◽  
Double Layers ◽  
Energy Excitation ◽  
Resolution Electron ◽  
Different Types ◽  
2D Crystals ◽  
Weak Chemical

Structural characteristics of the high performance cobaltite thermoelectric semiconductors have been studied intensively by means of X-ray and neutron diffraction measurements and high resolution electron microscopy (HREM). These cobaltites consists of CoO2 triangular conducting sheets and several different types of block layers, i.e., Na, Ca, Sr single layers, three or four layered rock-salt layers, where Co-O2 square lattices are situated at their middle, and Bi-O or Tl-O double layers plus alkaline oxygen layers. Cold neutron scattering technique is employed to search possible low-energy excitation modes, being unique for nearly 1D and 2D crystals, and phonon density of states, DOS, of several high performance cobaltites at temperatures in the range from 10K to the ambient. Low energy, i.e., less than 2meV, excitation modes were found in the three different thermoelectric ceramics, i.e., γ -Na0.7CoO2, [Ca2CoO3]pCoO2, and [Ca2(Cu,Co)2O4]pCoO2. Possible origin of these low energy excitations are discussed in terms of low-energy corrugation mode generated due to weak chemical bondings, for which Van-der-Waals force dominates, between the CoO2 conduction sheets. These characteristics could be the key to realize low thermal conductivity and high-ZT of these ceramics.

Sport, science and politics in Indonesia: challenges in epistemology within an evolving global context

2020 ◽  
Vol 42 (3) ◽  
pp. 4-17
Author(s):  
John Saunders ◽  
Rusli Lutan
Keyword(s):  
Physical Activity ◽  
Physical Education ◽  
High Performance ◽  
Health Sector ◽  
Health Science ◽  
Current Status ◽  
Sport Science ◽  
Economic Entity ◽  
Science And Politics ◽  
International Sport

This paper considers the current status of physical education and sport science in Indonesia from the perspective of the development of the professional knowledge base and research culture surrounding its practice. It seeks to place the field’s development within the broader context of international sport studies from 1945 to 2020. It identifies as major influences the process of globalisation and the growth of international sport as a significant political and economic entity. Physical education is acknowledged as a common historical base for the three modern strands within contemporary sports studies – medical /and health science, high performance studies, and sports business management. Future developments are considered in the context of the current pandemic. Covid19 and the world’s response to it has impacted on some key dimensions which underpin the current global sports economy – namely easy and convenient travel and the gathering of crowds in the widespread consumption of live sport. It is suggested that this might cause a major reset in the conduct of elite sport and sport festivals. The continuing growth of the physical activity and health sector is predicted and in the context of the serious challenges facing the sporting sector a case is made for increased resources to be moved back into the educational study and practice of sport and physical activity as a universal good.

scholarly journals Multiple objects tracking in the UAV system based on hierarchical deep high-resolution network

2021 ◽  
Author(s):  
Wei Huang ◽  
Xiaoshu Zhou ◽  
Mingchao Dong ◽  
Huaiyu Xu
Keyword(s):  
High Resolution ◽  
Object Tracking ◽  
High Performance ◽  
State Of The Art ◽  
Class Imbalance ◽  
Unified Framework ◽  
Multiple Objects ◽  
Tracking Process ◽  
Objects Tracking ◽  
Different Types

AbstractRobust and high-performance visual multi-object tracking is a big challenge in computer vision, especially in a drone scenario. In this paper, an online Multi-Object Tracking (MOT) approach in the UAV system is proposed to handle small target detections and class imbalance challenges, which integrates the merits of deep high-resolution representation network and data association method in a unified framework. Specifically, while applying tracking-by-detection architecture to our tracking framework, a Hierarchical Deep High-resolution network (HDHNet) is proposed, which encourages the model to handle different types and scales of targets, and extract more effective and comprehensive features during online learning. After that, the extracted features are fed into different prediction networks for interesting targets recognition. Besides, an adjustable fusion loss function is proposed by combining focal loss and GIoU loss to solve the problems of class imbalance and hard samples. During the tracking process, these detection results are applied to an improved DeepSORT MOT algorithm in each frame, which is available to make full use of the target appearance features to match one by one on a practical basis. The experimental results on the VisDrone2019 MOT benchmark show that the proposed UAV MOT system achieves the highest accuracy and the best robustness compared with state-of-the-art methods.

scholarly journals High-performance quasi-2D perovskite light-emitting diodes: from materials to devices

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Li Zhang ◽  
Changjiu Sun ◽  
Tingwei He ◽  
Yuanzhi Jiang ◽  
Junli Wei ◽  
...  
Keyword(s):  
Energy Transfer ◽  
High Performance ◽  
Light Emitting Diodes ◽  
Structural Characteristics ◽  
Quantum Yields ◽  
Research Directions ◽  
Light Emitting ◽  
Perovskite Materials ◽  
Quantum Confinement Effects ◽  
Semiconducting Properties

AbstractQuasi-two-dimensional (quasi-2D) perovskites have attracted extraordinary attention due to their superior semiconducting properties and have emerged as one of the most promising materials for next-generation light-emitting diodes (LEDs). The outstanding optical properties originate from their structural characteristics. In particular, the inherent quantum-well structure endows them with a large exciton binding energy due to the strong dielectric- and quantum-confinement effects; the corresponding energy transfer among different n-value species thus results in high photoluminescence quantum yields (PLQYs), particularly at low excitation intensities. The review herein presents an overview of the inherent properties of quasi-2D perovskite materials, the corresponding energy transfer and spectral tunability methodologies for thin films, as well as their application in high-performance LEDs. We then summarize the challenges and potential research directions towards developing high-performance and stable quasi-2D PeLEDs. The review thus provides a systematic and timely summary for the community to deepen the understanding of quasi-2D perovskite materials and resulting LED devices.

scholarly journals Optimization of sunflower head pectin extraction by ammonium oxalate and the effect of drying conditions on properties

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xuemei Ma ◽  
Jiayi Yu ◽  
Jing Jing ◽  
Qian Zhao ◽  
Liyong Ren ◽  
...  
Keyword(s):  
High Performance ◽  
Freeze Drying ◽  
Antioxidant Activities ◽  
Structural Characteristics ◽  
Radical Scavenging ◽  
Ammonium Oxalate ◽  
Extraction Process ◽  
Size Exclusion ◽  
Pharmaceutical Industries

AbstractPectin is a kind of natural and complex carbohydrates which is extensively used in food, chemical, cosmetic, and pharmaceutical industries. Fresh sunflower (Helianthus annuus L.) heads were utilized as a novel source of pectin extracted by ammonium oxalate. The conditions of the extraction process were optimized implementing the response surface methodology. Under optimal extraction parameters (extraction time 1.34 h, liquid–solid ratio 15:1 mL/g, ammonium oxalate concentration 0.76% (w/v)), the maximum experimental yield was 7.36%. The effect of spray-drying and freeze-drying on the physiochemical properties, structural characteristics, and antioxidant activities was investigated by FT-IR spectroscopy, high performance size exclusion chromatography, and X-ray diffraction. The results showed freeze-drying lead to decrease in galacturonic acid (GalA) content (76.2%), molecular weight (Mw 316 kDa), and crystallinity. The antioxidant activities of pectin were investigated utilizing the in-vitro DPPH and ABTS radical-scavenging systems. This study provided a novel and efficient extraction method of sunflower pectin, and confirmed that different drying processes had an effect on the structure and properties of pectin.

Bejan’s Constructal Theory Analysis of Gas-Liquid Cooled Finned Modules

2011 ◽  
Vol 133 (7) ◽  
Author(s):  
Giulio Lorenzini ◽  
Simone Moretti
Keyword(s):  
Thermal Behavior ◽  
Heat Exchangers ◽  
High Performance ◽  
Numerical Study ◽  
Constructal Theory ◽  
Electronic Components ◽  
Theory Analysis ◽  
Pressure Losses ◽  
Different Types ◽  
Overall Performance

High performance heat exchangers represent nowadays the key of success to go on with the trend of miniaturizing electronic components as requested by the industry. This numerical study, based on Bejan’s Constructal theory, analyzes the thermal behavior of heat removing fin modules, comparing their performances when operating with different types of fluids. In particular, the simulations involve air and water (as representative of gases and liquids), to understand the actual benefits of employing a less heat conductive fluid involving smaller pressure losses or vice versa. The analysis parameters typical of a Constructal description (such as conductance or Overall Performance Coefficient) show that significantly improved performances may be achieved when using water, even if an unavoidable increase in pressure losses affects the liquid-refrigerated case. Considering the overall performance: if the parameter called Relevance tends to 0, air prevails; if it tends to 1, water prevails; if its value is about 0.5, water prevails in most of the case studies.

Morphology and Structure Induced Co3O4 Nanowires High-Performance Supercapacitor Electrode Material

2021 ◽  
Vol 16 (6) ◽  
pp. 1005-1010
Author(s):  
Jian Wang ◽  
Yan Zhao ◽  
Yucai Li ◽  
Shiwei Song
Keyword(s):  
Electrochemical Performance ◽  
High Performance ◽  
Structural Characteristics ◽  
High Porosity ◽  
Ni Foam ◽  
Supercapacitor Electrode ◽  
Morphology And Structure ◽  
Hydrothermal Approach ◽  
Large Capacitance ◽  
Superior Cycling Stability

The electrochemical performance of the material depends heavily on the morphologies and structural characteristics of the material. Co3O4 samples show the remarkable electrochemical performance owing to the high porosity, appropriate pore size distribution and novel architecture and the effect of NH4F for morphology. Co3O4 nanowires grown on Ni foam have been synthesized through a facile hydrothermal approach, revealing large capacitance of 2178.4 mF cm−2 at the current density of 2 mA cm−2 and superior cycling stability.

Lignin-based polymers

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Fan Qi ◽  
Zhang Chaoqun ◽  
Yang Weijun ◽  
Wang Qingwen ◽  
Ou Rongxian
Keyword(s):  
High Performance ◽  
Raw Materials ◽  
Structural Characteristics ◽  
Low Cost ◽  
Polymer Matrices ◽  
Terrestrial Plants ◽  
Polyester Resins ◽  
Sustainable Resources ◽  
Reinforced Polymer ◽  
New Ideas

Abstract On the basis of the world’s continuing consumption of raw materials, there was an urgent need to seek sustainable resources. Lignin, the second naturally abundant biomass, accounts for 15–35% of the cell walls of terrestrial plants and is considered waste for low-cost applications such as thermal and electricity generation. The impressive characteristics of lignin, such as its high abundance, low density, biodegradability, antioxidation, antibacterial capability, and its CO2 neutrality and enhancement, render it an ideal candidate for developing new polymer/composite materials. In past decades, considerable works have been conducted to effectively utilize waste lignin as a component in polymer matrices for the production of high-performance lignin-based polymers. This chapter is intended to provide an overview of the recent advances and challenges involving lignin-based polymers utilizing lignin macromonomer and its derived monolignols. These lignin-based polymers include phenol resins, polyurethane resins, polyester resins, epoxy resins, etc. The structural characteristics and functions of lignin-based polymers are discussed in each section. In addition, we also try to divide various lignin reinforced polymer composites into different polymer matrices, which can be separated into thermoplastics, rubber, and thermosets composites. This chapter is expected to increase the interest of researchers worldwide in lignin-based polymers and develop new ideas in this field.

Prosody in Automatic Speech Processing

2020 ◽  
pp. 632-645
Author(s):  
Anton Batliner ◽  
Bernd Möbius
Keyword(s):  
Speech Processing ◽  
High Performance ◽  
Early Years ◽  
Short History ◽  
Word Level ◽  
Dialogue Acts ◽  
Semantics And Pragmatics ◽  
Different Types ◽  
History Of

Automatic speech processing (ASP) is understood as covering word recognition, the processing of higher linguistic components (syntax, semantics, and pragmatics), and the processing of computational paralinguistics (CP), which deals with speaker states and traits. This chapter attempts to track the role of prosody in ASP from the word level up to CP. A short history of the field from 1980 to 2020 distinguishes the early years (until 2000)—when the prosodic contribution to the modelling of linguistic phenomena, such as accents, boundaries, syntax, semantics, and dialogue acts, was the focus—from the later years, when the focus shifted to paralinguistics; prosody ceased to be visible. Different types of predictor variables are addressed, among them high-performance power features as well as leverage features, which can also be employed in teaching and therapy.

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