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O presente artigo tem como objetivo gerar uma reflexão sobre
a importância do design na transformação do conceito da percepção dos
tecidos sintéticos ulizados no têxtil-lar. Pretende-se abordar como o
design têxtil pode enaltecer as matérias primas sintéticas, em concreto, o
tecido de poliéster, considerado a fibra de maior consumo na indústria
têxtil. Deste modo, é essencial discutir como as fibras sintéticas, que por
vezes são percepcionadas como menos naturais, o que as torna um
material menos desejável/apreciável, revelam-se com virtudes,
capacidades e estética, quando desejamos um tecido estampado com
padrões.
Students have developed a different set of activities and opportunities, resulting from interactions with
technology and environments rich in new and old media. This can provide great advantages in many
areas, such as the ability to use information technology and the ability to work collaboratively. But, on
the one hand, this may also create a discontinuity between their expectations and the work
environment they will find in universities. To avoid this discontinuity, organizations must find alternative
methods to traditional ones. On the other hand, universities should foster interactivity and collaborative
work. For this, there must be a remodeling of existing spaces in organizations to enhance these
characteristics. It is thus evident a necessary remodeling of the spaces of motivated learning, both by
technological needs and by students' needs. A Learning Space project must be aligned with the
strategy of the Institution. The face of an Institution will be characterized by the Spaces of Learning
that it offers. The importance of the introduction Information and Communication Technologies in the
learning/teaching process it’s an important point in the creation of Learning Environments, but just by
itself it does not bring significant changes. In this context, we propose a Model of the Learning Space
Organization based on identification of the factors considered essential for Building High Quality
Learning Environments. We assume that Design changes, Cultural changes along with Rich spaces
Technology and New Planning spaces lead to the construction of High Quality Learning Environments.
In this context, we propose a Model of the Learning Space Organization based on identification of the
factors considered essential for Building High Quality Learning Environments. We assume that Design
changes, Cultural changes along with Rich spaces Technology and Planning New Spaces lead to the
construction of High Quality Learning Environments.
OBJECTIVE:
The current study was aimed to examine intra-individual variation on indicators of bone health in addition to whole-body plus appendicular tissue measurements using two concurrent assessments based on pencil beam and fan beam dual energy X-ray absorptiometry (DXA) systems in adult athletes from several sports.
METHOD:
Thirty-two male participants (27.6±10.1 years) were measured on anthropometry including multifrequency bioelectric impedance and air-displacement plethysmography. Bone mineral content (BMC), bone area, fat and lean soft tissue were derived using pencil beam (Lunar DPX-MD+) and fan beam (Lunar iDXA) absorptiometry. Bone mineral density (BMD) was obtained for the femoral neck, trochanter and triangle of ward. Finally, the right thigh was defined as a region of interest (ROI). Analyses comprised intra-class correlation (ICC), Effect size (d) from mean differences of repeated measurements, coefficient of variation (CV)
RESULTS:
ICC were >0.900 for all measurements. Intra-individual differences were large for BMC (d=1,312; CV=2,7%), bone area (d=1,761; CV=2,7%), fat tissue (d=1,612; CV=11%) and all indicators of appendicular lean soft tissue (d=1,237-1687; CV=2,0-4,1%). A very large difference (d=4,014; CV=8.4%) was diagnosed for lean soft tissue of the ROI.
CONCLUSION:
Although differences among concurrent instruments for BMC and bone area, the effect size of mean differences was negligible for BMD. Fat and lean soft tissue derived from DXA should be interpreted as reference values (not criterion) due to equipment-related variation, more apparently in the ROI values.
