Search results

The purpose of this paper is to present an overview of different aspects of inulin functionality in meat and poultry products.

Several studies on the physiochemical, textural and sensorial effects of inulin incorporated in meat and poultry products as fat replacer and texture modifier were reviewed.

Inulin is a plant-derived carbohydrate composed of fructose units and glucosyl moieties at the end of the chain that exhibits unique nutritional and technological benefits. Among its main healthy characteristics, it has been reported to reduce the risk of colon cancer, arteriosclerosis, osteoporosis, diabetes and obesity, to maintain low levels of triglycerides and cholesterol in serum and stimulate the immune system. As a functional food ingredient, it can be used in various foods as a fat replacer, improves water-holding capacity and emulsion stability, as well as modifying the texture and viscosity of foods. Incorporation of inulin into meat and poultry products can be beneficial in producing low-fat products with desirable texture and sensory attributes.

There are limited reviews regarding the application of inulin in meat and poultry products. In this review, chemical composition and physicochemical properties of inulin, its health effects and various effects of inulin incorporation into meat and poultry products including, physicochemical, textural and sensory characteristics of these products are discussed.

Every day, the sun provides by far more energy than the amount necessary to meet the whole world’s energy demand. Solar energy, unlike fossil fuels, does not suffer from depleting resource and also releases no greenhouse gas emissions when being used. Hence, using solar irradiance to produce electricity via photovoltaic (PV) systems has significant benefits which can lead to a sustainable and clean future. In this regard, the purpose of this study is first to assess the technical and economic viability of solar power generation sites in the capitals of the states of Canada. Then, a novel integrated technique is developed to prioritize all the alternatives.

In this study, ten provinces in Canada are evaluated for the construction of solar power plants. The new hybrid approach composed of data envelopment analysis (DEA), balanced scorecard (BSC) and game theory (GT) is implemented to rank the nominated locations from techno-economic-environmental efficiency aspects. The input data are obtained using HOMER software.

Applying the proposed hybrid approach, the order of high to low efficiency locations was found as Winnipeg, Victoria, Edmonton, Quebec, Halifax, St John’s, Ottawa, Regina, Charlottetown and Toronto. Construction of ten solar plants in the ten studied locations was assessed and it was ascertained that usage of solar energy in Winnipeg, Victoria and Edmonton would be economically and environmentally justified.

As to novelty, it should be clarified that the authors propose an effective hybrid method combining DEA, BSC and GT for prioritizing all available scenarios concerned with the construction of a solar power plant.

The purpose of this study is to estimate inputs (outputs) and flexible measures when outputs (inputs) are changed provided that the relative efficiency values remain without change.

A novel inverse data envelopment analysis (DEA) approach with flexible measures is proposed in this research to assess inputs (outputs) and flexible measures when outputs (inputs) are perturbed on condition that the relative efficiency scores remain unchanged. Furthermore, flexible inverse DEA approaches proposed in this study are used for a numerical example from the literature and an application of Iranian banking industry to clarify and validate them.

The findings show that including flexible measures into the investigation effects on the changes of performance measures estimated and leads to more reasonable achievements.

The traditional inverse DEA models usually investigate the changes of some determinate input-output factors for the changes of other given input-output indicators assuming that the efficiency values are preserved. However, there are situations that the changes of performance measures should be tackled while some measures, called flexible measures, can play either input or output roles. Accordingly, inverse DEA optimization models with flexible measures are rendered in this paper to address these issues.

The uniqueness of the pre-hospital setting and the need for quick decision-making confronts pre-hospital emergency personnel with various moral conflicts that can lead to moral distress (MD) in them. This study aimed to design a valid scale for the assessment of MD in emergency medical service (EMS) staff.

This exploratory mixed-method study was conducted among the EMS provider's community. In the qualitative section, data were gathered and analyzed with semi-structured interviews and conventional content analysis, respectively. The initial pool of items was formed and the primary scale was designed. In the quantitative section, a methodological study was carried out to determine the psychometric properties of the scale including qualitative-quantitative face validity, qualitative-quantitative content validity with content validity ratio and index (CVR/CVI), construct validity by exploratory factor analysis (EFA), and convergent validity, internal consistency (Cronbach's alpha/ Omega McDonald's/ floor and ceiling effect) and stability with intra-class correlation (ICC).

After interviews with 14 emergency technicians, the initial scale was designed with 60 items. Of the total items, 17 poor items were dropped during face and qualitative content validity. In the content validity phase, the items with CVR > 0.62, modified Kappa > 0.74 were retained, which eliminated 23 items. EFA was conducted with 20 items and lead to the 5 factors. The floor and ceiling effect for the whole scale was zero. Finally, the reliability of the scale was confirmed (a = 0.83, O = 0.86, ICC = 0.95).

The developed 20-item scale is a valid and reliable scale for the assessment of the MD in EMS providers.

This paper aims to explore the efficiency of natural ventilation in the bedrooms of typical two-storeyed row houses with newly reconfigured design that incorporate rooftop wind catchers and side windows to create cross ventilation.

A CFD program was used to assess average air velocity coefficient (Cv) in 32 airflow cases. Parameters include location of openings with respect to wind direction, inlet-to-outlet area ratio (IOR) and opening-to-floor area ratio (OFR).

The results reveal that indoor air velocities in the cases of air entering wind catchers are generally higher than those in the cases of air entering side windows while air velocities at the openings are the opposite. The IOR of 1:2 provides best results in terms of both velocities of the indoor air and velocities at the openings. Increasing the OFR from 20% to 50% generally improves indoor air velocities and airflow rates.

This study proved that the new solution of combining one-sided wind catchers and side windows can effectively solve the problem of ventilation uniquely existing in the conditions of typical row houses by catching prevailing wind from two opposite directions into multiple rooms. The results are given as non-dimensional air velocities, which can be interpreted with any climatic data, and therefore can be applied to row houses in any locations and climatic conditions. The findings can create a new and efficient design of row houses that benefits building industry.