Molecular recognition of 2,4,6-trinitrotoluene by 6-aminohexanethiol and surface-enhanced Raman scattering sensor

2,4,6-trinitrotoluene (TNT) is one of the most commonly used nitro aromatic explosives in landmine, military and mining industry. This article demonstrates rapid and selective identification of TNT by surface-enhanced Raman spectroscopy (SERS) using 6-aminohexanethiol (AHT) as a new recognition molecule. First, Meisenheimer complex formation between AHT and TNT is confirmed by the development of pink colour and appearance of new band around 500 nm in UV-visible spectrum. Solution Raman spectroscopy study also supported the AHT:TNT complex formation by demonstrating changes in the vibrational stretching of AHT molecule between 2800-3000 cm−1. For surface enhanced Raman spectroscopy analysis, a self-assembled monolayer (SAM) of AHT is formed over the gold nanostructure (AuNS) SERS substrate in order to selectively capture TNT onto the surface. Electrochemical desorption and X-ray photoelectron studies are performed over AHT SAM modified surface to examine the presence of free amine groups with appropriate orientation for complex formation. Further, AHT and butanethiol (BT) mixed monolayer system is explored to improve the AHT:TNT complex formation efficiency. Using a 9:1 AHT:BT mixed monolayer, a very low detection limit (LOD) of 100 fM TNT was realized. The new method delivers high selectivity towards TNT over 2,4 DNT and picric acid. Finally, real sample analysis is demonstrated by the extraction and SERS detection of 302 pM of TNT from spiked.

Visual control of an electrohydraulic manipulator for underground mining applications

A large range of underground mining equipment makes use of compliant hydraulic arms for tasks such as rock-bolting, rock breaking, explosive charging and shotcreting. This paper describes a laboratory model electo-hydraulic manipulator which is used to prototype novel control and sensing techniques. The research is aimed at improving the safety and productivity of these mining tasks through automation, in particular the application of closed-loop visual positioning of the machine's end-effector.

Jobs for creatives outside the creative industries: A study of creatives working in the Australian manufacturing industry

More creatives work outside the creative industries than inside them. Recent Australian Census data show that 52 per cent of creatives work outside of the core creative industries. These embedded creatives make up 2 per cent of manufacturing industry employees. There is little qualitative research into embedded creatives. This paper aims to address this by exploring the contribution of creative skills to manufacturing in Australia. Through four case studies of designers and marketing staff in lighting and car seat manufacturing companies, this paper demonstrates some of the work that embedded creatives undertake in the manufacturing industry and some of the ways that they contribute to innovation. The paper also considers perspectives embedded creatives bring to manufacturing and challenges involved in being a creative worker in a non-creative industry. This research is important to economic development issues, demonstrating some of the roles of key innovators in an important industry. This work also informs the education of creative industries students who will go on to contribute in a variety of industries. Furthermore, this research exemplifies one industry where employment is available to creatives outside of the creative industries.

Integration of Opinion Mining into customer analysis model

This research proposes a multi-dimensional model for Opinion Mining, which integrates customers' characteristics and their opinions about products (or services). Customer opinions are valuable for companies to deliver right products or services to their customers. This research presents a comprehensive framework to evaluate opinions' orientation based on products' hierarchy attributes. It also provides an alternative way to obtain opinion summaries for different groups of customers and different categories of produces.

Sensors and control for mining robotics

This paper discusses some of the sensing technologies and control approaches available for guiding robot manipulators for a class of underground mining tasks including drilling jumbos, bolting arms, shotcreters or explosive chargers. Data acquired with such sensors, in the laboratory and underground, is presented.

A workplace-based Participatory Action Research project to investigate the effectiveness of nutrition and physical activity interventions for truck drivers in six Queensland transport industry workplaces: 2012-2015

The Queensland Transport Industry Workplace Health Intervention project was a Participatory Action Research (PAR) project to investigate the effectiveness of workplace-based nutrition and physical activity health promotion interventions for truck drivers in transport industry workplaces in south-east Queensland. The project was conducted by a research team at the Queensland University of Technology (QUT), and was funded by the Queensland Government under the Healthier.Happier.Workplaces initiative.

Measuring industry clockspeed in the systemic industry context

Industry clockspeed has been used in earlier literature to assess the rate of change of industries but this measure remains limited in its application in longitudinal analyses as well as in systemic industry contexts. Nevertheless, there is a growing need for such a measure as business ecosystems replace standalone products and organisations are required to manage their innovation process in increasingly systemic contexts. In this paper, we firstly derive a temporal measure of technological industry clockspeed, which evaluates the time between successively higher levels of performance in the industry's product technology, over time. We secondly derive a systemic technological industry clockspeed for systemic industry contexts, which measures the time required for a particular sub-industry to utilise the level of technological performance that is provisioned by another, interdependent sub-industry. In turn, we illustrate the use of these measures in an empirical study of the systemic personal computer industry. The results of our empirical illustration show that the proposed clockspeeds together provide informative measures of the pace of change for sub-industries and systemic industry. We subsequently discuss the organisational considerations and theoretical implications of the proposed measures.

Boundary crossing: A theoretical framework to understand the operation dynamics of industry-school partnerships

Industry-school partnerships (ISPs) are increasingly being recognised as a new way of providing vocational education opportunities. However, there is limited research investigating their impact on systemic (organisational and structural) and human resource (teachers and education managers) capacity to support school to work transitions. This paper reports on a government led ISP, established by the Queensland state government. ISPs across three industry sectors: minerals and energy; building and construction; and aviation are included in this study. This research adopted a qualitative case study methodology and draws upon boundary crossing theory to understand the dynamics of how each industry sector responded to systemic and human resource issues that emerged in each ISP. The main finding being that the systematic application of boundary crossing mechanisms by all partners pro-duced mutually beneficial outcomes. ISPs from the three sectors adopted different models, leveraged different boundary crossing objects but all maintained the joint vision and mutually agreed outcomes. All three ISPs genuinely crossed boundaries, albeit in different ways, and assisted teachers to co-pro-duce industry-based curriculums, share sector specific knowledge and skills that help enhance the school to work transition for school graduates.

Measuring sustainability performance within the Australian energy industry

Sustainability has become crucial for the energy industry as projects in this industry are extensively large and complex and have significant impacts on the environment, community and economy. It demands the energy industry to proactively incorporate sustainability ideas and commit to sustainable project development. This study aims to investigate how the Australian energy industry responds to sustainability requirements and in particular what indicators used to measure sustainability performance. To achieve this, content analysis of sustainability reports, vision statements and policy statements of Australian energy companies listed in the 2013 PLATTS Top 250 Global Energy Company Rankings and government reports relating to sustainability has been conducted. The findings show that the energy companies extensively discuss sustainability aspects within three dimensions, i.e. community, environment, and economy. Their primary goals in sustainability are supplying cleaner energy for future, and doing business in a way that improves outcomes for shareholders, employees, business partners and the communities. In particular, energy companies have valued the employees of the business as a one of the key area that needs to be considered. Furthermore, the energy industry has become increasingly aware of the importance of measuring sustainability performance to achieve sustainability goals. A number of sustainability indicators have been developed on the basis of the key themes beyond economic measures. It is envisaged that findings from this research will help stakeholders in the energy industry to adopt different indicators to evaluate and ultimately achieve sustainability performance.

Mining process risks and resource profiles

This research contributes novel techniques for identifying and evaluating business process risks and analysing human resource behaviour. The developed techniques use predefined indicators to identify process risks in individual process instances, evaluate overall process risk, predict process outcomes and analyse human resource behaviour based on the analysis of information about process executions recorded in event logs by information systems. The results of this research can help managers to more accurately evaluate the risk exposure of their business processes, to more objectively evaluate the performance of their employees, and to identify opportunities for improvement of resource and process performance.

A study on the evolution of regional structure of foreign engineering consultation industry in China [我国对外工程咨询业区域结构演变研究]

Based on the construction industry of 27 province over the period of 1995-2008,this paper analyzes the evolution of regional structure of foreign engineering consultation industry.It is found that this industry translates weak overall strength,unbalanced regional structure to a more developed and balanced status,keeps pushing this change can improve the strength of our country’s engineering consultation industry,improve the international competition of construction.

An entrepreneurial music industry education in secondary schooling: The emerging professional learning model

There is widespread agreement that entrepreneurial skills are crucial for young people today, yet there are few studies of high school students engaging in entrepreneurship education that might prepare them for music industry careers. This study has been developed in response to these challenges. It explores a group of high school students (15 – 17 years) who alongside their teacher, have co-designed, developed and driven a new business venture, Youth Music Industries (YMI) since 2010. This venture staged cycles of differently scaled events featuring young artists for a young audience. The project was designed to give students a real business situation for developing their project management skills and a broader understanding of working in the music industry. Informed by concepts of social capital and communities of practice, the study examines the process of learning with and through others. This high-stakes environment increased their sense of presence and participation and made it possible for these young people to distribute expertise and learn from each other in a reciprocal and more democratic way. The ongoing success of this organisation can be attributed to the entrepreneurial competencies students developed. The resulting model and design principles talk to an ongoing challenge that has been identified in music education, and creative industries more generally. These principles offer a way forward for other music and creative industries educators or researchers interested in developing models of, and designs for, nurturing an entrepreneurial mindset.

Investigating the concept of potential quality: An exploratory study in the real estate industry

Purpose The purpose of this research is to examine the concept of “potential quality” – that is, a company's tangible search qualities (such as the physical servicescape and virtual servicescape) – within the context of the real‐estate industry in the USA. Design/methodology/approach This qualitative study collects data by conducting personal in‐depth interviews with 34 respondents who had been recent buyers or renters of property. The data are then coded and themed to identify quality dimensions relevant to this industry. Findings The results indicate that a buyer's perception of the overall service quality of real‐estate service consists of two components: the interaction with a realtor (process quality); and the virtual servicescape, especially the firm's website design and content (potential quality). The study concludes that existing scales (such as SERVQUAL and RESERV) fail to capture the tangible component of service quality sufficiently in the real‐estate industry. Research limitations/implications The study uses data from only one industry (real estate) and from only one demographic segment (professionals in higher education). Practical implications Service providers of intangible, high‐contact services must appreciate the importance of the virtual servicescape as a surrogate quality indicator that can help to reduce information asymmetries and consumers' uncertainty with regard to initiating a business relationship. Real estate firms need to pay attention to the training of agents and the design and content of their e‐service systems. Originality/value This study integrates potential quality, process quality, and outcome quality in a comprehensive proposed model. In particular, the study identifies “potential quality” as a combination of the attributes of the virtual service environment and the physical service environment.

'I love PEMCO' : Creating conversation worthy buzz in the insurance industry with word of mouth marketing

Surveys by PR-COM, a communications agency, indicate that leading German companies (1) have not recognized the relevance of social media yet or (2) have difficulties with implementing the concept (Meiners et al. 2010). For example, a survey among DAX-companies indicates that their social media activities are “lückenhaft und halbherzig” (PR-COM 2009). Another survey in the German IT industry shows that less than a third had a German and/or English blog (PR-COM 2010), even though blogging is considered a key tool for marketing communications. However, firms “that are not present on social media run the risk of not being in the position to build a positive reputation or to correct negative comments” (Meiners et al. 2010).

Aspect-based opinion mining from product reviews using conditional random fields

Product reviews are the foremost source of information for customers and manufacturers to help them make appropriate purchasing and production decisions. Natural language data is typically very sparse; the most common words are those that do not carry a lot of semantic content, and occurrences of any particular content-bearing word are rare, while co-occurrences of these words are rarer. Mining product aspects, along with corresponding opinions, is essential for Aspect-Based Opinion Mining (ABOM) as a result of the e-commerce revolution. Therefore, the need for automatic mining of reviews has reached a peak. In this work, we deal with ABOM as sequence labelling problem and propose a supervised extraction method to identify product aspects and corresponding opinions. We use Conditional Random Fields (CRFs) to solve the extraction problem and propose a feature function to enhance accuracy. The proposed method is evaluated using two different datasets. We also evaluate the effectiveness of feature function and the optimisation through multiple experiments.