Microengineering of supramolecular soft materials by design of the crystalline fiber networks

Crystalline spherulitic fiber networks are commonly observed in polymeric and supramolecular functional materials. The elasticity of materials with this type of network is low if interactions between the individual spherulites are weak (mutually exclusive). Improving the elasticity of these materials is necessary because of their important applications in many fields. In this work, the engineering of the microstructures and rheological properties of this type of material is carried out. A small molecule organogel formed by the gelation of N-lauroyl-L-glutamic acid di-n-butylamide (GP-1) in propylene glycol (PG) is used as an example. The elasticity of this material is improved by controlling the thermodynamic driving force, the supersaturation of the gelator, and by using a selected copolymer additive to manipulate the primary nucleation of GP-1. Because of the weak interactions between the GP-1 spherulites, with the same fiber mass, the elasticity of GP-1/PG gel is less than half of those of the other two gels formed by GP-1 and 2-hydroxystearlic acid in solvent benzyl benzoate (BB), which are supported by interconnecting spherulitic fiber networks. This work develops a robust approach to the engineering of supramolecular functional materials especially those with mutually exclusive spherulite fiber networks.

Fitting soft center-near design multifocal lenses

The recent launch of the Air Optix Aqua Multifocal lens (Ciba Vision) means that there are three silicone hydrogel (SiHy) multifocal lenses available. The benefits of SiHy materials have been well documented (Dumbleton, 2006), but until recently they weren't available in multifocal designs. With an aging population, it's likely that a large number of contact lens wearers are approaching presbyopia, which will result in a dramatic increase in demand for multifocal lenses.

Lab-on-a-Chip turns soft : computer-aided, software-enabled microfluidics design

The current practice of designing microfluidic Lab-on-a-Chip (LoCs) limits reusing designs and makes sharing tasks among researchers difficult. One way to achieve that objective is to borrow best practices from engineering. Also it takes a lot of skills to design LoCs. Design-by-assembly in which a LoC can be designed by configuring, laying out subsystems can help new researchers to develop custom chips. Flexible, reusable, and rapid-prototyping-feasible LoC designs can be achieved by fabricated modular microfluidic blocks. However, challenging problems still persist, which limit the usefulness of prefabricated blocks. We propose software microfluidic modules (SoftMABs) based design technique to solve issues fabricated modules face. By configuring SoftMABs, integrating them, the new assembly of SoftMABs can form a 3D LoC design ready to be prototyped. The proposed method can make designing a complex LoC less challenging, and collaborating among laboratories easier. We created SoftMABs and designed a custom microfluidic chip by assembling SoftMABs like LEGOs, dragging-and-dropping them. Later we reconfigured them - by replacing a SoftMAB with another module - to make a new LoC. We believe this computeraided method is an interesting and useful LoC design technique.

The 'caffeine-sweetness' effect; potential reduction of energy in caffeinated sugar-sweetened soft drinks

Background – Excessive consumption of sugar sweetened beverages (SSB) is a contributing factor in the occurrence of overweight and obesity. The high energy intake, low satiation, high glycemic index, and intense marketing are all thought to contribute to their over consumption. In addition, the role of the mildly-addictive chemical caffeine in SSB has been questioned (Griffiths and Vernotica, 2000, Keast and Riddell, 2007). We have previously shown that low concentrations of caffeine may decrease sweetness of sugars and thereby result in excess energy in SSB formulations (Ebbeling et al., 2006).
Objective – Without noticeably affecting flavour, to determine potential energy reduction when decreasing sucrose concentration from caffeinated and de-caffeinated SSB.
Design – Human psychophysical taste evaluations in water, sucrose and model SSB. Triangle forced-choice ascending method of limits was used to determine caffeine taste threshold in water and sucrose (n= 62). Directional paired comparison tests to determine 1/ the influence of caffeine on sweetness of sucrose (n= 23), and 2/ the nonperceivable difference when decreasing the sucrose and caffeine concentrations in a model SSB (n= 30).
Outcomes – Caffeine, at sub-threshold concentrations in common SSB (0.67mM) can be perceived in sucrose solutions because it significantly inhibits sweetness (p<0.001), the ‘caffeine sweetness effect’. Presumably coremoval of caffeine and sucrose could be achieved without affecting the sweetness of the SSB. Removing caffeine from the model SSB allowed an energy reduction of 137.4 KJ per 500 ml serving (12.6% sucrose reduction) without noticeably affecting flavour for 80% of the population. The energy reduction possible without co-removal of caffeine was a more modest 32 KJ per 500 ml serving (3.5% sucrose reduction).
Conclusion – Sub-threshold concentrations of caffeine suppress sweetness resulting in higher concentrations of sugars in SSB. Excessive consumption of SSB is linked to the obesity epidemic, and we suggest the removal of caffeine and subsequent removal of 137.4 KJ energy will have long term public health benefits.

The development of 'soft' strategic indicators for international client satisfaction

Despite the increasing significance of the construction industry as an emerging sector of the Australian economy, there is inadequate research performed on construction design firms in terms of theoretical and empirical foundations. Although past research has identified the barriers and success factors for firm market entry, evidence suggests that to date no research has explicitly explored the sustainability of construction design firms in international markets. SMEs and their approach to firm internationalisation differ significantly from large manufacturing firms and a vast majority of construction design firms operate as SMEs. This paper develops a sustainable business model for construction design SMEs, which rely upon the development of clear Client Following (CF) versus Market Seeking (MS) strategies to support internal firm strategic and operational management. The understanding of these strategies is vital as the application of either will shape the design management approach of firms, which would in turn impact on the sustainability of these firms in foreign markets. Long-term sustainability of firms in international markets relies heavily upon client satisfaction. Client and project team participants’ communication during various design processes has often been problematic and the added difficulty of communicating across international boundaries further compounds the problem of capturing and maintaining client’s requirements. Therefore this paper develops a model for business sustainability of Australian construction design firms working in international markets by exploring factors that affect client satisfaction across international boundaries, through the development of business performance indicators. These include not only the critical financial capital but also other ‘softer’ indicators, namely: social, cultural and intellectual capital. These act as a firm’s measure of success and the acquisition of this type of capital will provide significant advantages to firms’ success, hence sustainability in international markets.

Controlling nanoparticle formation via sizable cages of supramolecular soft materials

We present a new generic strategy to fabricate nanoparticles in the “cages” within the fibrous networks of supramolecular soft materials. As the cages can be acquired by a design-and-production manner, the size of nanoparticles synthesized within the cages can be tuned accordingly. To implement this idea, both selenium and silver were chosen for the detailed investigation. It follows that the sizes of selenium and silver nanoparticles can be controlled by tuning the pore size of the fiber networks in the material. When the concentration of the gelator is high enough, monodisperse nanoparticles can be prepared. More interestingly, the morphology of the nanoparticles can be altered: silver disks can be formed when the concentrations of both the gelator and silver nitrate are sufficiently low. As the fiber network serves as a physical barrier and semisolid support for the nanoparticles, the stability in the aqueous media and the ease of application of these nanoparticles can be substantially enhanced. This robust surfactant-free approach will not only allow the controlled fabrication of nanoparticles, but also can be applied to the fabrication of composite materials for robust applications.

Measurement of the refractive index of soft contact lenses during wear

Purpose: To determine whether the refractive index (RI) of a soft contact lens can be evaluated using refractometry while the lens remains on the eye and to compare this with more traditional ex vivo RI measurements.

Methods: A slitlamp apparatus was modified to incorporate a customized Atago hand refractometer. With a double-masked study design, nine adapted symptomatic soft contact lens wearers wore a contact lens in each eye (lotrafilcon B and etafilcon A) in a randomized order. In vivo RI was determined from the relative Brix scale measurements immediately after lens insertion and after 1 and 10 hr of lens wear. Ex vivo refractometry was performed after 10 hr of lens wear for comparison. Means ± standard errors of the means are reported.

Results: In vivo RI values at baseline were 1.422 ± 0.0004 (lotrafilcon B) and 1.405 ± 0.0021 (etafilcon A); after 1 hr of lens wear, values were 1.423 ± 0.0006 and 1.408 ± 0.0007, respectively; and after 10 hr of lens wear, values were 1.424 ± 0.0004 and 1.411 ± 0.0010, respectively. Ex vivo RI values at the end of the 10 hr wearing period were 1.424 ± 0.0003 (lotrafilcon B) and 1.412 ± 0.0017 (etafilcon A). The change in in vivo RI across the day was statistically significant for the etafilcon A lens (repeated-measures analysis of variance, P<0.01) but not for the lotrafilcon B lens (P>0.05).

Conclusions: This novel adaptation of refractometry was able to measure the RI of soft contact lenses during wear (without lens removal). End of day RI measurements using in vivo and ex vivo refractometry were comparable with each other. Future work is required to determine whether this in vivo method can improve our understanding of the relationships between soft contact lens RI, hydration, on-eye lens performance, and symptomology.

Size invariance of fibrous networks of supramolecular soft materials during formation under critical volume confinement

The rheological properties of a hierarchically structured supramolecular soft material are mainly determined by the structure of its network. Controlling the thermodynamic driving force of physical gels (one type of such materials) during the formation has proven effective in manipulating the network structure due to the nature of nucleation and growth of the fiber network formation in such a supramolecular soft material. Nevertheless, it is shown in this study that such a property can be dramatically influenced when the volume of the system is reduced to below a threshold value. Unlike un-confined systems, the network structure of such a soft material formed under volume confinement contains a constant network size, independent of the experimental conditions, i.e. temperature and solute concentration. This implies that the size of the fiber networks in such a material is invariable and free from the influence of external factors, once the volume is reduced to a threshold. The observations of this work are significant in the control of the formation of fibrous networks in materials of this type.

Classification and optimization of product review information using soft computing models

A soft computing framework to classify and optimize text-based information extracted from customers' product reviews is proposed in this paper. The soft computing framework performs classification and optimization in two stages. Given a set of keywords extracted from unstructured text-based product reviews, a Support Vector Machine (SVM) is used to classify the reviews into two categories (positive and negative reviews) in the first stage. An ensemble of evolutionary algorithms is deployed to perform optimization in the second stage. Specifically, the Modified micro Genetic Algorithm (MmGA) optimizer is applied to maximize classification accuracy and minimize the number of keywords used in classification. Two Amazon product reviews databases are employed to evaluate the effectiveness of the SVM classifier and the ensemble of MmGA optimizers in classification and optimization of product related keywords. The results are analyzed and compared with those published in the literature. The outputs potentially serve as a list of impression words that contains useful information from the customers' viewpoints. These impression words can be further leveraged for product design and improvement activities in accordance with the Kansei engineering methodology.

Graduating Students' Perceptions of Learning Design in an Undergraduate Engineering Course

BACKGROUNDUndergraduate Civil Engineering Course at Deakin University, Australia is relatively a new course. It graduated its second main cohort in 2013. Since its beginning in 2012, this study has been running an internal annual Course Experience Surveys targeted at uncovering the graduating students’ perceptions on three components of contemporary learning system provided by Deakin University learning design, learning environment and the human factor. Learning design covers the learning curriculum, learning resources, learning activities and learning supports; learning environment includes physical environment, virtual environment and psychosocial environment; and human factor includes learners, facilitators/teachers and help/support staff and their culture. There is a common agreement among educators in higher education that these three components of learning system should interact and complement each other in order to maximise student learning. This paper coversonly learning design aspect of the overall surveys from 2012 and 2013.PURPOSEThe aim of this study is to analyse the students’ perceptions of learning design provided by Deakin University to its undergraduate civil engineering students in 2012 and 2013. This will help track down the progresses in different aspects of learning design and to understand whether the learning design provided by the institution have actually helped students in their learning and met their learning expectations.DESIGN/METHODThis study adopts questionnaire approach to collect original data by asking students about their perceptions of learning design provided by the institution. 5-point Likert-scale questionnaire survey (strongly disagree, disagree, neutral, agree, strongly agree) is developed and responses are collected. The responses are then statistically analysed in order to uncover the students’ perceptions of learning design provided by the university.RESULTSThe statistical analysis shows that the graduating students in both 2012 and 2013 did not perceive some important aspects of the learning design of the undergraduate civil engineering program/course as good as they expected. Moreover, in line with the shift in the learning design paradigm from content-centric to more inclusive learning design where soft skills, self-directed learning skills and research skills are incorporated, graduating students clearly perceived these changes. However, respondents’ perceptions on some components of learning design got slightly down in 2013 compared with 2012 particularly the ‘learning resources’, ‘learning activities’ and ‘learning supports’.CONCLUSIONSThe shift in the learning design paradigm of the undergraduate civil engineering program/course at Deakin University from teacher-centric to student-centric between 2012 and 2013 has not been perceived by students positively as expected. Students have clearly indicated that they prefer improved curriculum, quality learning resources, customised learning activities and additional learning supports in order to successfully implement student-centric learning design.

Soft tissue characterisation using a force feedback-enabled instrument for robotic assisted minimally invasive surgery systems

An automated laparoscopic instrument capable of non-invasivemeasurement of tip/tissue interaction forces for direct application in robotic assisted minimally invasive surgery systems is introduced in this chapter. It has the capability to measure normal grasping forces as well as lateral interaction forces without any sensor mounted on the tip jaws. Further to non-invasive actuation of the tip, the proposed instrument is also able to change the grasping direction during surgical operation. Modular design of the instrument allows conversion between surgical modalities (e.g., grasping, cutting, and dissecting). The main focus of thispaper is on evaluation of the grasping force capability of the proposed instrument. The mathematical formulation of fenestrated insert is presented and its non-linear behaviour is studied. In order to measure the stiffness of soft tissues, a device was developed that is also described in this chapter. Tissue characterisation experiments were conducted and results are presented and analysed here. The experimental results verify the capability of the proposed instrument in accurately measuring grasping forces and in characterising artificial tissue samples of varying stiffness.

A demandeur-centric theory of regime design in transnational commercial law

Recent scholarship on international agreement design has almost exclusively focused on the public international law area. The literature on regime design in the area of international private law lacks a solid theoretical foundation. Academic writing on public international law's state-centric approach is only amenable to crude transplantation and poses several puzzles in the international private law context. Resolving these puzzles is important because of the proliferation of transnational commercial agreements in areas that were traditionally the province of domestic law. This paper attempts to provide a starting point to address the theoretical vacuum. Part I argues that functionalist, liberal, and realist theories cannot fully explain transnational commercial law agreement design. Part II puts forth a demandeur-centric approach with the aid of examples that span the spectrum from hard law to soft law. Part III concludes that agreement design in transnational commercial law is premised on demandeur preferences and relative power.

Development of a novel soft parallel robot equipped with polymeric artificial muscles

This paper presents the design, analysis and fabrication of a novel low-cost soft parallel robot for biomedical applications, including bio-micromanipulation devices. The robot consists of two active flexible polymer actuator-based links, which are connected to two rigid links by means of flexible joints. A mathematical model is established between the input voltage to the polymer actuators and the robot's end effector position. The robot has two degrees-of-freedom, making it suitable for handling planar micromanipulation tasks. Moreover, a number of robots can be configured to operate in a cooperative manner for increasing micromanipulation dexterity. Finally, the experimental results demonstrate two main motion modes of the robot.

Improving the health of Australians by applying evidence from behavioural epidemiology to urban design projects

Rapid urban population growth in Australia requires an expansion of supporting hard and soft infrastructure. In the State of Victoria, directing this growth are a number of urban design and planning mechanisms that provide a ‘blueprint for development and investment’. Although topics revolving around physical health are present in these and other planning related documents, largely absent from this literature are ‘tools’ to assist decision makers in determining whether or not an urban setting supports physical health and provides opportunities for physical activity. Insufficient physical activity is a risk factor contributing to Australia’s growing and significant burden of chronic disease including cardiovascular disease, Type 2 diabetes and overweight/obesity. The potential of the built environment to influence population-level physical activity is well recognised. A key element in Victoria’s planning framework that can help address these health concerns is the provision and redevelopment of open space(s) in urban areas that provide opportunities for people of all ages and abilities to engage in physical activity. However, in the realisation of these settings, evidence informing the design of urban open space(s) that promote opportunities for physical activity is needed to produce evidence based decision making. Using the three geo-spatial visioning layers embedded in Victoria’s planning framework (i.e. Growth Area Framework Plans, Precinct Structure Plans and Planning Permits) as positioning instruments, this paper merges the fields of behavioural epidemiology and urban design to: i) provide a brief overview of current research relating to design of open space to optimise usage and physical activity, ii) consider what type of evidence relating to features of open space is needed to help inform decision makers, iii) consider the methods and procedures practitioners may use to incorporate evidence in to their planning, and iv) discuss the geo-spatial development level that the respective data can best assist decision making to achieve positive gains in physical health.

An improved soft-kill BESO algorithm for optimal distribution of single or multiple material phases

Finding the optimum distribution of material phases in a multi-material structure is a frequent and important problem in structural engineering which involves topology optimization. The Bi-directional Evolutionary Structural Optimization (BESO) method is now a well-known topology optimization method. In this paper an improved soft-kill BESO algorithm is introduced which can handle both single and multiple material distribution problems. A new filtering scheme and a gradual procedure inspired by the continuation approach are used in this algorithm. Capabilities of the proposed method are demonstrated using different examples. It is shown that the proposed method can result in considerable improvements compared to the normal BESO algorithm particularly when solving problems involving very soft material or void phase.