A Structured Committee for Food Recognition

Food recognition is an emerging computer vision topic. The problem is characterized by the absence of rigid structure of the food and by the large intra-class variations. Existing approaches tackle the problem by designing ad-hoc feature representations based on a priori knowledge of the problem. Differently from these, we propose a committee-based recognition system that chooses the optimal features out of the existing plethora of available ones (e.g., color, texture, etc.). Each committee member is an Extreme Learning Machine trained to classify food plates on the basis of a single feature type. Single member classifications are then considered by a structural Support Vector Machine to produce the final ranking of possible matches. This is achieved by filtering out the irrelevant features/classifiers, thus considering only the relevant ones. Experimental results show that the proposed system outperforms state-of-the-art works on the most used three publicly available benchmark datasets

Children's eating behaviours: The importance of the family setting

Childhood obesity has become a major public health challenge. Whilst it is accepted that the aetiology of obesity is complex, there is very little that targets the home environment and specifically looks at the family setting and how this influences children's eating behaviours. This research aimed to redress the balance by alerting people to the importance of the family environment as a contributory factor for childhood obesity. Using a grounded theory approach, 'Ordering of eating' highlights the importance of the family setting and demonstrates how micro and macro order influences the development of children's eating behaviours. © Journal compilation © 2008 Royal Geographical Society (with the Institute of British Geographers)

Five-country Study on Service and Volunteering in Southern Africa: Zimbabwe Country Report

The study documents and analyses civic service and volunteering in Zimbabwe and also identifies formal and informal civic service programmes in Zimbabwe

Mimotope mapping as a complementary strategy to define allergen IgE-epitopes: peach Pru p 3 allergen as a model.

Lipid transfer proteins (LTPs) are the major allergens of Rosaceae fruits in the Mediterranean area. Pru p 3, the LTP and major allergen of peach, is a suitable model for studying food allergy and amino acid sequences related with its IgE-binding capacity. In this work, we sought to map IgE mimotopes on the structure of Pru p 3, using the combination of a random peptide phage display library and a three-dimensional modelling approach. Pru p 3-specific IgE was purified from 2 different pools of sera from peach allergic patients grouped by symptoms (OAS-pool or SYS-pool), and used for screening of a random dodecapeptide phage display library. Positive clones were further confirmed by ELISA assays testing individual sera from each pool. Three-dimensional modelling allowed location of mimotopes based on analysis of electrostatic properties and solvent exposure of the Pru p 3 surface. Twenty-one phage clones were selected using Pru p 3-specific IgE, 9 of which were chosen using OAS-specific IgE while the other 12 were selected with systemic-specific IgE. Peptide alignments revealed consensus sequences for each pool: L37 R39 T40 P42 D43 R44 A46 P70 S76 P78 Y79 for OAS-IgE, and N35 N36 L37 R39 T40 D43 A46 S76 I77 P78 for systemic-IgE. These 2 consensus sequences were mapped on the same surface of Pru p 3, corresponding to the helix 2-loop-helix 3 region and part of the non-structured C-terminal coil. Thus, 2 relevant conformational IgE-binding regions of Pru p 3 were identified using a random peptide phage display library. Mimotopes can be used to study the interaction between allergens and IgE, and to accelerate the process to design new vaccines and new immunotherapy strategie

Strategies for simulating the transition to agroforestry in Quebec, Canada

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A focus on cross-purpose tools, automated recognition of study design in multiple disciplines, and evaluation of automation tools: a summary of significant discussions at the fourth meeting of the International Collaboration for Automation of Systematic Reviews (ICASR)

The fourth meeting of the International Collaboration for Automation of Systematic Reviews (ICASR) was held 5–6 November 2019 in The Hague, the Netherlands. ICASR is an interdisciplinary group whose goal is to maximize the use of technology for conducting rapid, accurate, and efficient systematic reviews of scientific evidence. The group seeks to facilitate the development and acceptance of automated techniques for systematic reviews. In 2018, the major themes discussed were the transferability of automation tools (i.e., tools developed for other purposes that might be used by systematic reviewers), the automated recognition of study design in multiple disciplines and applications, and approaches for the evaluation of automation tools

Identify the HR factors that affect employee turnover in MasterHouse restaurant.

For organisations that seek reduction in employee turnover, it is crucial to identify which specific factors have the greatest impact on the staff turnover rate of the organisation. Similarly, after identifying influencing factors, it is also very important to formulate HR processes and policies based on the actual situation of the organisation. The aim of this research is to identify the HR factors that affect employee turnover rate in MasterHouse restaurant. High employee turnover rate will affect the performance of the organisation’s employees and the decline of daily functions, it will also increase the cost of organisation recruitment on-boarding and training. The purpose of this research is to identify the specific factors that affect employee turnover in MasterHouse and develop a practical plan for MasterHouse restaurant to improve employee loyalty and reduce employee turnover through the organisation’s human resources processes and policies. This research will lead to an understanding of the factors affecting the turnover rate of MasterHouse through secondary research, then researchers will collect data through quantitative research, and develop a strategic plan for MasterHouse to reduce employee turnover. The researcher will use questionnaires to investigate the HR strategies of MasterHouse and employees’ views on MasterHouse current HR process and policies. This research will involve five factors that affect employee turnover rate: Long-term relationships, benchmark, work-life balance, talent management, rewards and motivation. The researcher then connected and compared survey results with information in the literature and developed a practical plan for MasterHouse to reduce employee turnover rate

Keeping profits in New Zealand

The tourism industry is the second biggest for New Zealand and is expected to regain the top spot if current, exponential growth continues. Online travel agencies (OTAs) such as those owned by Expedia Inc. and Booking Holdings Inc. facilitate this boom by encouraging travellers to visit beautiful locations, but are taking huge chunks of this income away from the local Gross-Domestic Product (GDP) in the commission they charge on every night of accommodation booked. One of the largest consumers of New Zealand’s tourism industry is Chinese nationals. This study looks at feasibility of a small player developing an app in a market full of large corporates that are dominating the playing field. The primary research used mixed methods and sought to reach 120 questionnaire respondents and 10 interview participants which uncovered thoughts on stakeholders on either side of the discussion, the China-based potential customers and the New Zealand-based accommodation providers. Preliminary results indicate that Chinese nationals are often likely to conduct thorough research when making decisions about international travel and a large portion are enthused about the prospect of regular international travel. Accommodation providers in New Zealand are rarely hesitant to support a local OTA as they are often frustrated with the poor service received from the large corporates. Developing an app that is based in China and attempts to market the New Zealand tourism industry will be a difficult proposition but is plausible with the implementation of a marketing plan that is strategically thought out

To find a better way of training and development for a small retail business in the health product industry

This research is aimed at finding out how to bring a better training and development process to a small retail business in the health product industry to increase the effectiveness of employees' performance. The study was carried out at Dekang Nutrition Ltd. Currently，it has set up three physical stores in Rototuna, Hamilton. Dekang also has a 300-square-metre warehouse and delivery centre at Te Rapa, and operates two sales platforms online. This research uses qualitative methods. The primary qualitative method that used is interview. The study found out that the type of training needed to be changed, as the current training system is not enough for employees to keep up with rapid changes in the external environment. It also provides an insight into the lack of systematic follow up. The study recommends Dekang to have a mentoring/buddy system for training and to develop an evaluation system for employees to have a clear idea of their own performance in a timely manner. Also, the study recommends that Dekang have a clear career pathway to help employees improve

Measuring level of satisfaction

Customers are the ones to judge their level of satisfaction. Now times have changed and organisations have realized the value of retaining customers. This project is about knowing the level of customer satisfaction in a dairy shop, Melville Price Cutter, situated at 17 Bader Street, Hamilton. The information was gained by doing a survey of 50 customers who came to the dairy. Results obtained from this survey showed that most of the customers visited the dairy twice a week. 35% of the surveyed people were visiting the shop twice a week. When asked why they visit the dairy for shopping, the majority answer was time and location. 40% of the customers thought going to the dairy was time saving or should be very quick. 30% used the dairy for shopping because of its location. Customers preferred the nearest location to shop at a dairy. The results showed that customers who came to the dairy were always in hurry. They did not have time to go to supermarkets, so they expected to get quick service from the dairy. Customer felt happy when they were served quickly and they did not have to be in a queue. They liked deals where they could take advantage of cheap prices