Nelson Marlborough Institute of Technology

Nelson, New Zealand

Nelson Marlborough Institute of Technology

Nelson, New Zealand

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News Article | May 22, 2017
Site: www.thefishsite.com

Nearly 200 biology students were given an introduction to mussel culture at New Zealand’s Cawthron Aquaculture Park this month. The students were engaged in mussel biology workshops, which provide access to state-of-the-art Nelson Marlborough Institute of Technology (NMIT) laboratory facilities where they can conduct self-led experiments with mussels. The initiative, now in its sixth year, is the result of a collaboration between NMIT, SpatNZ, University of Otago, and Cawthron Institute. For the first time since the workshops began, Nelson College is participating and students are thrilled. Nelson College science teacher Johnnie Fraser advocated for his school’s involvement after he spent six months with Cawthron under a Royal Society placement. Mr Fraser recognised the value students gained from the workshops and wanted his students to take up the opportunity. "It’s so great for senior biology students to meet scientists in an informal situation to discuss their investigations, and to hear from the scientists the pathways that led them to their work. "Connecting the Cawthron science and scientists, with local industry, and the courses available at NMIT and Otago University is a precious thing for high school science students," said Mr Fraser. One of Mr Fraser’s students Gardhav Mehratra was enjoying the workshop and said: "My experiment is off to a sensational start. I’m looking at how a change in the pH of the water affects mussel feeding rate." These workshops are part of Cawthron’s activities aimed at disseminating science and knowledge in the broad environmental field. Cawthron community educator Cristina Armstrong explains how the programme teaches problem solving skills. "The workshops are a valuable learning tool. Students lead their own experiments and for many it’s the first time they have to overcome real science challenges. We survey the students before and after they complete the workshop and the positive results demonstrate the research-teaching nexus. "During their time at the Cawthron Aquaculture Park, students have a special visit to SpatNZ’s premises where they discover how the mussel breeding programme works, and learn how New Zealand’s aquaculture value has increased through research and innovation," said Ms Armstrong. SpatNZ also supply students with the mussel spat needed to conduct their experiments. Operations manager Dan McCall said, "We support the year 13 workshops because we see human capability as a key component of our business. Through the tour of our facilities, students see first-hand that there are cool jobs in the aquaculture industry." The programme has real world results. Hannah Coote participated in the workshop as a year 13 student and became inspired to study aquaculture at NMIT; having completed her diploma, Hannah is now a SpatNZ employee. University of Otago’s Nelson educator Richard de Hamel has been instrumental in the programme’s success. He believes in the positive impact laboratory time has on young people and said: "It’s great for students who are making decisions around their careers to spend time in a working lab environment. This is real science in context."


PubMed | Health and Environment International Trust, Nelson Marlborough Institute of Technology and Ruby Coast Research Center
Type: | Journal: Annual review of public health | Year: 2016

Ambient heat exposure is a well-known health hazard, which reduces human performance and work capacity at heat levels already common in tropical and subtropical areas. Various health problems have been reported. Increasing heat exposure during the hottest seasons of each year is a key feature of global climate change. Heat exhaustion and reduced human performance are often overlooked in climate change health impact analysis. Later this century, many among the four billion people who live in hot areas worldwide will experience significantly reduced work capacity owing to climate change. In some areas, 30-40% of annual daylight hours will become too hot for work to be carried out. The social and economic impacts will be considerable, with global gross domestic product (GDP) losses greater than 20% by 2100. The analysis to date is piecemeal. More analysis of climate change-related occupational health impact assessments is greatly needed.


Kjellstrom T.,Umeå University | Kjellstrom T.,Australian National University | Kjellstrom T.,University College London | Lemke B.,Nelson Marlborough Institute of Technology | Otto M.,Nelson Marlborough Institute of Technology
Industrial Health | Year: 2013

A feature of climate impacts on occupational health and safety are physiological limits to carrying out physical work at high heat exposure. Heat stress reduces a workers work capacity, leading to lower hourly labour productivity and economic output. We used existing weather station data and climate modeling grid cell data to describe heat conditions (calculated as Wet Bulb Globe Temperature, WBGT) in South-East Asia. During the hottest month in this region (March) afternoon WBGT levels are already high enough to cause major loss of hourly work capacity and by 2050 the situation will be extreme for many outdoor jobs. © 2013 National Institute of Occupational Safety and Health.


Lemke B.,Nelson Marlborough Institute of Technology | Kjellstrom T.,Australian National University | Kjellstrom T.,Umeå University
Industrial Health | Year: 2012

The WBGT heat stress index has been well tested under a variety of climatic conditions and quantitative links have been established between WBGT and the work-rest cycles needed to prevent heat stress effects at the workplace. While there are more specific methods based on individual physiological measurements to determine heat strain in an individual worker, the WBGT index is used in international and national standards to specify workplace heat stress risks. In order to assess time trends of occupational heat exposure at population level, weather station records or climate modelling are the most widely available data sources. The prescribed method to measure WBGT requires special equipment which is not used at weather stations. We compared published methods to calculate outdoor and indoor WBGT from standard climate data, such as air temperature, dew point temperature, wind speed and solar radiation. Specific criteria for recommending a method were developed and original measurements were used to evaluate the different methods. We recommend the method of Liljegren et al. (2008) for calculating outdoor WBGT and the method by Bernard et al. (1999) for indoor WBGT when estimating climate change impacts on occupational heat stress at a population level. © 2012 National Institute of Occupational Safety and Health.


Kjellstrom T.,Health and Environment International Trust | Kjellstrom T.,University of Kuala Lumpur | Lemke B.,Nelson Marlborough Institute of Technology | Hyatt O.,Health and Environment International Trust | Otto M.,Nelson Marlborough Institute of Technology
South African Medical Journal | Year: 2014

A number of aspects of human health are caused by, or associated with, local climate conditions, such as heat and cold, rainfall, wind and cloudiness. Any of these aspects of health can also be affected by climate change, and the predicted higher temperatures, changes in rainfall, and more frequent extreme weather conditions will create increased health risks in many workplaces. Important occupational health risks include heat stress effects, injuries due to extreme weather, increased chemical exposures, vector-borne diseases and under-nutrition. In South Africa (SA), and many other parts of the world experiencing a hot season each year, the effects of heat stress may be of greatest relevance to the large working populations in mining, agriculture, construction, quarries and outdoor services. Factory and workshop heat will also become an increasing problem in the numerous workplaces without effective cooling systems. SA was the location for some of the most detailed research on heat effects at work in mines in the 1950s and 1960s, and the future will bring new challenges not only for mines, but also for many other workplaces. The climate model trends for this century indicate that the heat exposure may increase by 2 - 4°C during the hottest months, and this would change the occupational heat situation from 'low risk' to 'moderate or high risk' in much of SA.


Smythe M.,Nelson Marlborough Institute of Technology
ASCILITE 2012 - Annual conference of the Australian Society for Computers in Tertiary Education | Year: 2012

Blended learning for some is the future of education itself (Brown & Diaz, 2010). However blended learning lacks a coherent body of research that unequivocally demonstrates learning benefits over traditional modes of instruction. Yet there is a growing volume of evidence to support the view that blended learning can result in improvements in student learning outcomes and enhance student satisfaction (Dziuban, Hartman, Cavanagh & Moskal, 2011; Garrison & Vaughan, 2008; Graham, 2006; Sharpe, Benfield, Roberts & Francis, 2006; Vaughan, 2007). The means to evaluate its effectiveness is frequently lacking since there are a relatively limited range of tools and methods that support staff in designing blended learning curricula. This paper describes one component of a possible framework for evaluating blended learning-the use of a course design rubric. A new rubric is outlined that attempts to represent a range of good practice in blended learning design derived from the literature and evidence-based research. © 2012 Michael Smythe.


Abdelhamid N.,Auckland Institute of Studies | Jabbar A.A.,Canadian University of Dubai | Thabtah F.,Nelson Marlborough Institute of Technology
Proceedings of the International Conference on Parallel Processing Workshops | Year: 2016

Association rule mining involves discovering concealed correlations among variables often from sales transactions to help managers in key business decision involving items shelving, sales and planning. In the last decade, association rule mining methods have been employed in deriving rules from classification dataset in different business domains. This has resulted in an emergence of new classification approach called Associative Classification (AC), which often produces higher predictive classifiers than classic approaches such as decision trees, greedy and rule induction. Nevertheless, AC suffers from noticeable challenges some of which have been inherited from association rules and others have been resulted from building the classifier phase. These challenges are not limited to the massive numbers of candidate ruleitems found, the very large classifiers derived, the inability to handle multi-label datasets, and the design of rule pruning, ranking and prediction procedures. This article highlights and critically analyzes common challenges faced by AC algorithms that are still sustained. Hence, it opens the door for interested researchers to further investigate these challenges hoping to enhance the overall performance of this approach and increase it applicability in research domains. © 2016 IEEE.


Mohammad R.M.,University of Huddersfield | Thabtah F.,Nelson Marlborough Institute of Technology | McCluskey L.,University of Huddersfield
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2016

Creating a neural network based classification model is traditionally accomplished using the trial and error technique. However, the trial and error structuring method nornally suffers from several difficulties including overtraining. In this article, a new algorithm that simplifies structuring neural network classification models has been proposed. It aims at creating a large structure to derive classifiers from the training dataset that have generally good predictive accuracy performance on domain applications. The proposed algorithm tunes crucial NN model thresholds during the training phase in order to cope with dynamic behavior of the learning process. This indeed may reduce the chance of overfitting the training dataset or early convergence of the model. Several experiments using our algorithm as well as other classification algorithms, have been conducted against a number of datasets from University of California Irvine (UCI) repository. The experiments’ are performed to assess the pros and cons of our proposed NN method. The derived results show that our algorithm outperformed the compared classification algorithms with respect to several performance measures. © Springer International Publishing Switzerland 2016.


Baadel S.,University of Huddersfield | Thabtah F.,Nelson Marlborough Institute of Technology | Lu J.,University of Huddersfield
Proceedings of 2016 SAI Computing Conference, SAI 2016 | Year: 2016

Data Clustering or unsupervised classification is one of the main research area in Data Mining. Partitioning Clustering involves the partitioning of n objects into k clusters. Many clustering algorithms use hard (crisp) partitioning techniques where each object is assigned to one cluster. Other algorithms utilise overlapping techniques where an object may belong to one or more clusters. Partitioning algorithms that overlap include the commonly used Fuzzy K-means and its variations. Other more recent algorithms reviewed in this paper are: the Overlapping K-Means (OKM), Weighted OKM (WOKM), the Overlapping Partitioning Cluster (OPC), and the Multi-Cluster Overlapping K-means Extension (MCOKE). This review focuses on the above mentioned partitioning methods and future direction in overlapping clustering is highlighted in this paper. © 2016 IEEE.


Gaukrodger B.,Nelson Marlborough Institute of Technology | Atkins C.,Nelson Marlborough Institute of Technology
30th Annual conference on Australian Society for Computers in Learning in Tertiary Education, ASCILITE 2013 | Year: 2013

Language learners are motivated to learn when they understand a given context and are able to relate to the authenticity of the situation. Many of these activities are traditionally achieved through role-playing. In Second Life (SL), people from different corners of the globe can participate in live, synchronous communication in a shared virtual space through their virtual representations or 'avatars'. One advantage of SL for such role-play is that the focus is on the avatar, not directly on the language learner. This paper reports the results from a pilot study conducted at a New Zealand polytechnic on the perceptions of learners of English using the multiuser virtual environment of Second Life to complement their learning. © 2013 Belma Gaukrodger and Clare Atkins.

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