Chandrasekaran, V., Senthilkumar, P., Karthik,T.(2016). Optimization of spinning parameters influencing the characteristics of structurally modified viscose yarn. The Journal of The Textile Insititue. 107(1), 50-63.
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Sajid Hussainn, Viera Glombikova, Nasrullah Akhtar, Adnan Mazari, Tariq Mansoor and Kanwar Ali Haider Khan
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Zoran Popovski, Karolina Kwasek, Michal Wojno, Konrad Dabrowski and Macdonald Wick
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This study examined the far-infrared emission characteristics and wear comfort properties of ZrC-imbedded heat storage knitted fabrics. For this purpose, ZrC-imbedded, heat storage PET (polyethylene terephthalate) was spun from high-viscosity PET with imbedded ZrC powder on the core part and low-viscosity PET on the sheath part using a conjugated spinning method. ZrC-imbedded PET knitted fabric was also prepared and its physical properties were measured and compared with those of regular PET knitted fabric. In addition, ingredient analysis and the far-infrared emission characteristics of the ZrC-imbedded knitted fabrics were analyzed by energy dispersive X-ray spectroscopy and Fourier transform infrared spectroscopy. The thermal properties, moisture absorption, and drying properties of the ZrC-imbedded PET knitted fabric were measured and compared with those of the regular PET knitted fabric. The mechanical properties using the FAST (fabric assurance by simple testing) system and the dye affinity of the ZrC-imbedded knitted fabric were also measured and compared with those of regular PET knitted fabric.
Sandra Dodgson, Jenny Bryan, Simon Fletcher, Cathy Harrison, Clare Ibbs, April Jones, Paul McLaughlin, Gráinne O’Brien, Sharon Varney, Anne Wareing and Pamela Wick
Members of the multi-disciplinary team involved in delivering haemophilia care face a range of significant clinical and service leadership challenges. These include the developing treatment landscape, the drive towards individualised care, an uneven age structure among haemophilia nurses and constrained budgets. Faced with such challenges, the ASPIRE programme has been established to encourage and support a new generation of haemophilia leaders who are committed to improving haemophilia care across the UK, and beyond. The programme is open to healthcare professional from multiple disciplines, and is designed to support the development of a leadership community comprising members of the haemophilia care team in a way that contrasts with hierarchical leadership and management courses more typically found in the NHS.
In this paper we describe the use of modified passive capillary samplers (PCSs) to investigate the water isotope variability of snowmelt at selected sites in Slovenia during winter 2011/2012 and during winter 2012/2013. First, PCS with 3 fibreglass wicks covering approximately 1 m2 were tested to determine sample variability. We observed high variability in the amount of snowmelt water collected by individual wick (185 to 345 g) and in the isotope composition of oxygen (δ18O −10.43‰ to −9.02‰) and hydrogen (δ2H −70.5‰ to −63.6‰) of the collected water. Following the initial tests, a more detailed investigation was performed in winter 2012/2013 and the variability of snowmelt on the local scale among the different levels (i.e. within group, between the close and more distant groups of wicks) was investigated by applying 30 fibreglass wicks making use of Analysis Of Variance (ANOVA) and a balanced hierarchical sampling design. The amount of snowmelt water collected by an individual wick during the whole experiment was between 116 and 1705 g, while the isotope composition varied from −16.32‰ to −12.86‰ for δ18O and from −120.2‰ to −82.5‰ for δ2H. The main source of variance (80%) stems from the variability within the group of wicks (e.g. within group) while other sources contribute less than 20% of the variability. Amount weighted samples for the 2012-2013 season show no significant differences among groups, but significant differences for particular sampling events were observed. These investigations show that due to the variability within the group of wicks, a large number of wicks (> 5) are needed to sample snowmelt.