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As a way of enhancing the mechanical properties of photopolymer‐based parts produced by layered manufacturing (LM) techniques, the use of short glass‐fibre reinforcements has been recently explored in the literature. This paper proposes a novel methodology that utilizes a modified rule‐of‐mixtures model for the prediction of the mechanical properties of such layered composites. The prediction process employs empirical data on (i) the fibre‐matrix interface, (ii) the fibres’ geometrical arrangement within the specimens (i.e. fibre‐orientation distribution), and (iii) the fibre‐length distribution. The effects of the fibre‐orientation and fibre‐length distributions are accounted for in the prediction model by the fibre‐length‐correction and orientation‐efficiency factors. Comparison of extensive experimental results and model‐based predictions of mechanical properties of layered composites demonstrated the effectiveness of the proposed estimation methodology.

Like aqueous corrosion of metals, atmospheric corrosion of metallic articles has also been a matter of great anxiety due to the individual and joint action of oxygen, humidity and various types of pollution gases and ions in the atmospheres. As there is no limit of oxygen availability in the open atmosphere, this type of corrosion of metals is mainly controlled by humidity. In industrial mines and marine environments, however, metal attack is controlled by aggressive gases, ions and chloride ions respectively.

This study aims to review the relationship between neurological processes and financial behavior from an interdisciplinary perspective. Individual decision-making is influenced by cognitive and affective biases; hence, it becomes pertinent to understand the origin of these biases. Neurofinance is an emerging field of finance budding from neuroeconomics and explains the relationship between human brain activity and financial behavior, drawn from interdisciplinary fields, including neurology, psychology and finance.

This conceptual paper extensively reviews the extant literature and performs meta-analysis to attain its research objectives.

The paper highlights the use of neuroimaging techniques in mapping the brain areas to help understand the processes in the higher cognitive areas of brain. The paper raises some new questions regarding individual preferences and choices while making financial or non-financial decisions.

The special focus on dysfunctions arising in brain because of injury and their impact on decision-making is also a key point in this paper and is summarized using meta-analytic forest plot. The existing literature provides instances where emotional processing is altered by injury in brain and may lead to more advantageous decisions, especially in risky situations.

The purpose of this study was to examine the relationship between general market demands and consumption levels of professional sport consumers. This study was accomplished through: (a) validating the theoretical constructs of general market demand variables by conducting a confirmatory factor analysis, (b) examining the predictability of general market demand factors to consumption levels of live and televised sporting events, and (c) investigating the relationships between sociodemographic and general market demand factors. Five hundred and twenty-five residents of a major southern US city were interviewed using a questionnaire that included eight sociodemographic variables, 12 market demand variables under three factors (Game Attractiveness, Economic Consideration, and Marketing Promotion), and 10 professional sporting event consumption variables. The factor structure of the general market demand variables was confirmed. Regression analyses revealed that market demand factors were positively (p < .05) predictive of professional sport consumption. Sociodemographic variables were significantly (p < .05) related to the market demand factors. The findings imply that professional sport teams should highlight the market demand variables and adopt differential marketing procedures for various sociodemographic segments in their marketing practice.

Neuroeconomics and neurofinance are emerging as intriguing fields of research, despite sharing ambiguity with the concepts of neuroscience. The relationship among the concepts of economics, finance and neuroscience is not explicitly defined in the past literature, which distorts the use of neuroeconomics and neurofinance approaches in real-world practice for financial decision-making. The purpose of this paper is to consolidate the literature in the field of neuroeconomics and neurofinance to set up the research agenda for the upcoming scholarship in the field.

The purpose of this paper is to consolidates the extant literature in the fields of neuroeconomics and neurofinance by conducting an extensive systematic literature review to investigate the current state and define the relationship between economics, finance and neuroscience.

This paper identifies and explains the explicit relationship between different sub-fields of neuroscience with neuroeconomics and neurofinance and providing instances for future research studies.

The exclusive and extensive literature survey in the form of systematic literature review is undertaken for understanding the fields of neuroeconomics and neurofinance and is the key highlight of this paper. Another, interesting fact lies with matching the literature in neuroeconomics and neurofinance with further sub-fields of neuroscience such as neurophysiology, neuroanatomy, molecular neuroscience and cognitive neuroscience.

Refers to how the mechanical properties of polymer‐based composite objects produced via rapid layered fabrication methods can be improved significantly using short discontinuous fibres as reinforcements. Notes in this context, that the viscosity of the uncured fibre‐photopolymer composite liquids affects the raw‐material handling, the layer formation and the draining operations. Assesses the effects of aspect ratio, surface coating and volume fraction of short glass fibres on the viscosity of the fibre‐photopolymer composite liquids. Based on extensive experimentation and analysis, concludes that the shear viscosity of the composite liquids increases with increasing fibre‐volume fraction, showing that this effect is more pronounced at low shear rates than at high shear rates. Reveals, similarly, that the aspect ratio of the dispersed fibres has a stronger effect on the increase of viscosity at low shear rates and that the surface coating of the dispersed fibres also affects the viscosity of the composite liquids.

The purpose of this paper is to discuss recent developments in neuroscientific methods and demonstrate its potential for the service field. This work is a call to action for more service researchers to adopt promising and increasingly accessible neuro-tools that allow the service field to benefit from neuroscience theories and insights.

The paper synthesizes key literature from a variety of domains (e.g. neuroscience, consumer neuroscience and organizational neuroscience) to provide an in-depth background to start applying neuro-tools. Specifically, this paper outlines the most important neuro-tools today and discusses their theoretical and empirical value.

To date, the use of neuro-tools in the service field is limited. This is surprising given the great potential they hold to advance service research. To stimulate the use of neuro-tools in the service area, the authors provide a roadmap to enable neuroscientific service studies and conclude with a discussion on promising areas (e.g. service experience and servicescape) ripe for neuroscientific input.

The paper offers service researchers a starting point to understand the potential benefits of adopting the neuroscientific method and shows their complementarity with traditional service research methods like surveys, experiments and qualitative research. In addition, this paper may also help reviewers and editors to better assess the quality of neuro-studies in service.

Current commercial rapid prototyping systems can be used for fabricating layered models for subsequent creation of fully‐dense metal parts using investment casting. Due to increased demand for shortened product development cycles however, there exists a demand to rapidly fabricate functional fully‐dense metal parts without hard tooling. A possible solution to this problem is direct layered rapid manufacturing of such parts, for example, via laser‐beam fusion of the metal powder. The rapid manufacturing process discussed herein is based on this approach. It involves selective laser‐beam scanning of a predeposited metal‐powder layer, forming fully‐dense claddings as the basic building block of individual layers. This paper specifically addresses only one of the fundamental issues of the rapid manufacturing process under investigation at the University of Toronto, namely the fabrication of single claddings. Our theoretical investigation of the influence of the process parameters on cladding’s geometrical properties employed thermal modeling and computer process simulation. Numerous experiments, involving fabrication of single claddings, were also carried out with varying process parameters. Comparisons of the process simulations and experimental results showed good agreement in terms of overall trends.

This paper aims to explore the fluid flow in the stereolithography process during the recoating step. The understanding of the flow dynamics can be used as an input for an active control of the resin surface height map. The recoating over a rectangular cavity has been considered to investigate the influence of the cavity depth on the resin surface height map.

Two-dimensional numerical simulations have been used to obtain the flow characteristics as function of the cavity depth. An experimental setup, which mimics the recoating process in the stereolithography process, was used to verify the results of simulations and to test the suitability of the 2D model. The surface height profile along the centreline was measured by a confocal chromatic distance sensor and compared to the 2D numerical results.

By means of computational fluid dynamics (CFD) simulation, the flow in the cavity and the free-surface behaviour of the resin was explained for different cavity depths and confirmed by experiments.

The study is focused only on the cavity depth variation to show feasibility and suitability of the presented CFD model and the proposed analytical expression to estimate the layer thickness.

The proposed approach can serve as a tool for designing the closed-loop control for the recoating system in the next generation of stereolithography equipment.

In the present work, the fluid flow behaviour, a source of significant imperfection in the recoating process, has been investigated during the recoating step over a rectangular cavity.

The purpose of this paper is to present a review as well as a synthesis of the extant literature in the field of Neurofinance. The paper has been divided into eight parts. The first and second parts introduce the paper and dwell upon the brain functions in financial decisions. Part three presents the origin of Neurofinance and part four explains the difference between traditional finance, behavioural finance and neurofinance. Part five and six of the paper look into the research studies in Neurofinance and their application. Part seven gives a brief discussion on the limitations of neurofinance studies and part eight gives the conclusion.

The existing body of academic literature pertinent to the domain of Neurofinance was reviewed so as to provide an integrated portrayal and synthesis of the current level of knowledge in this field. This paper covers the insights on the subject for developing a deeper understanding of the investor's psychology.

Neurofinance is a very young discipline. It tries to relate the brain processes to the investment behaviour. Most of the researches in the domain of neurofinance focus on trading behaviour. It would be interesting to explore the workings of the brain for other investment behaviours too like personal financial planning decisions, etc.

Neurofinance is emerging as an alternate field of study and practice and this paper is an attempt to look at the development of Neurofinance and its role in developing a better understanding of the investor behaviour.