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Three-dimensional computer-aided design (CAD) assembly model has become important resource for design reuse in enterprises, which implicates plenty of design intent, assembly intent, design experience knowledge and functional structures. To acquire quickly CAD assembly models associated with specific functions by using product function requirement information in the product conceptual design phase for model reuse, this paper aims to find an approach for structure-function correlations analysis and functional semantic annotation of mechanical CAD assembly model before functional semantic-based assembly retrieval.

An approach for structure-function correlations analysis and functional semantic annotation of CAD assembly model is proposed. First, the product knowledge model is constructed based on ontology including design knowledge and function knowledge. Then, CAD assembly model is represented by part attributed adjacency graph and partitioned into multiple functional regions. Assembly region and flow-activity region are defined for structure-function correlations analysis of CAD assembly model. Meanwhile, the extraction process of assembly region and flow-activity region is given in detail. Furthermore, structure-function correlations analysis and functional semantic annotation are achieved by considering comprehensively assembly structure and assembled part shape structure in CAD assembly model. After that, a structure-function relation model is established based on polychromatic sets for expressing explicitly and formally relationships between functional structures, assembled parts and functional semantics.

The correlation between structure and function is analyzed effectively, and functional semantics corresponding to structures in CAD assembly model are labeled. Additionally, the relationships between functional structures, assembled parts and functional semantics can be described explicitly and formally.

The approach can be used to help designers accomplish functional semantic annotation of CAD assembly models in model repository, which provides support for functional semantic-based CAD assembly retrieval in the product conceptual design phase. These assembly models can be reused for product structure design and assembly process design.

The paper proposes a novel approach for structure-function correlations analysis and functional semantic annotation of mechanical CAD assembly model. Functional structures in assembly model are extracted and analyzed from the point of view of assembly structure and function part structure. Furthermore, the correlation relation between structures, assembled parts and functional semantics is expressed explicitly and formally based on polychromatic sets.

This paper provides empirical support for the introduction of cash flow disclosure regulation issued by Australasian accounting bodies, AASB and NZICA (formerly NZSA), between 1987 and 1992.

The empirical analysis uses a long window event study format on a panel of 5,368 firm‐year observations between 1996 and 2005.

The cash flow disclosures required in the regulation are associated with significant abnormal return responses. These effects are robust to the inclusion of other factors linked to abnormal returns such as movements in profitability, size and leverage. We also find support for the proposition that the cash flow effects are conditioned on the quality of the firm, as proxied by q. The market is better and more easily informed with the information required under the revised reporting regime.

The analysis would have been improved with better access to pre‐reform period data.

There is no other study on Australasian markets which looks at the value impacts of cash flow information in relation to this regulatory change. Such a study has also never been done on New Zealand companies.

The flow development and heat transfer in a differentially heated cavity containing a non‐Newtonian fluid is studied using CFD techniques. Investigations are made for a fluid obeying a power‐law type behaviour, for a nominal Rayleigh number of 10⁵. Both dilatant and pseudoplastic regimes are considered and the Nusselt number is obtained for a range of power‐law index values. The results, given in a graphical and tabular form, suggest that deviations from Newtonian stress‐strain behaviour can lead to large changes in overall heat transfer. These changes are due to the behaviour of the wall boundary layers. In the dilatant, or shear‐thickening regime, the isothermal wall layers are thick and slow‐moving; as a consequence, buoyancy induced flow affects the whole of the cavity volume. In contrast, the pseudoplastic (or shear‐thinning) regime leads to thin, fast‐moving wall layers whose effect does not propagate to the core of the cavity which remains stagnant. This behaviour, which is directly attributable to the local value of the fluid viscosity, causes the average Nusselt number to decrease with the power‐law index, n. Pseudoplastic fluids are therefore better at conducting heat than Newtonian fluids, and conversely dilatant fluids are worse. The information contained in this paper is of general interest to workers in heat transfer, but is more specifically relevant to researchers in non‐Newtonian fluids. Example applications include biotechnology, where close temperature control of bio‐cultures in enclosed vessels is required, the food processing industry, the metals casting industry and areas where heat transfer in fine suspensions is required.

This chapter compares two protected natural parks as specific experiential contexts providing two different experiences for visitors: extraordinary and memorable versus ordinary and mundane (Carù & Cova, 2006, 2007). Each experiential context enables the distinction of actual visitors’ experiences (Pine & Gilmore, 1999) inside each park. A qualitative study collected information to differentiate each protected natural park based on three dimensions: the geophysical environment, the recreational practices, and product and service offer management. A quantitative study analyzed the effect of a specific experiential context through a comparison of actual visitors’ experiences on four dimensions (esthetics, escapism, education, and entertainment) in both countries (500 in each country). Results of the qualitative study show that the Taiwanese park provides an experiential context with more extraordinary and memorable experiences while the French park provides an experiential context with more ordinary and mundane experiences. The results of the quantitative study show the distinction of actual visitors’ experiences inside each park: more immersion through esthetics and escapism in Taiwan and more absorption through education and entertainment in France. Each park manager has to build one’s own positioning and should offer a unique experiential context based on the three dimensions to provide more extraordinary and memorable or more ordinary and mundane experiences. this study highlights the interest of an analysis framework of experiences adapted from Carù and Cova (2006, 2007) and Pine and Gilmore (1999) underlining the link between experiential context and actual experiences.

Through a review of historically famous cases and a chronicle of neurotechnology development, this chapter discusses brain structure and brain function as two distinct yet interrelated paths to understand the relative contributions of anatomical and physiological mechanisms to the human brain–behavior relationship. From an organizational neuroscience perspective, the chapter describes over a dozen neuroimaging technologies that are classified under four groupings: morphologic, invasive metabolic, noninvasive metabolic, and electromagnetic. We then discuss neuroimaging variables that may be useful in social science investigations, and we underscore electroencephalography as a particularly useful modality for the study of individuals and groups in organizational settings. The chapter concludes by considering emerging science and novel brain technologies for the organizational researcher as we look to the future.

The purpose of this paper is to use a computational technique to simulate the flow in a two-dimensional (2D) wind tunnel where the effect of the solid walls facing the model has been addressed using a porous geometry so that interference arriving at the solid walls are duly damped and a flow suction procedure has been adopted at the side wall to minimize the span-wise effect of the growing side wall boundary layer.

A CFD procedure based on discretization of the Navier–Stokes equations has been used to model the flow in a rectangular volume with appropriate treatment for solid walls of the confined volume in which the model is placed. The rectangular volume was configured by stacking O-Grid sections in a span-wise direction using geometric growth from the wall. A porous wall condition has been adapted to counter the wall interference signatures and a separate suction procedure has been implemented for reducing the side wall boundary layer effects.

It has been shown that through such corrective measures, the flow in a wind tunnel can be adequately simulated using computational modeling. Computed results were compared against experimental measurements obtained from IAR (Institute for Aerospace, Canada) and NAL (National Aeronautical Laboratory, Japan) to show that indeed appropriate corrective means may be adapted to reduce the interference effects.

The solutions seemed to converge a lot better using relatively coarser grids which placed the shock locations closer to the experimental values. The finer grids were more stiff to converge and resulted in reversed flow with the two equation k-w model in the region where the intention was to draw out the fluid to thin down the boundary layer. The one equation Spalart–Allmaras model gave better result when porosity and wall suction routines were implemented.

This method could be used by industry to point check the results against certain demanding flow conditions and then used for more routine parametric studies at other conditions. The method would prove to be efficient and economical during early design stages of a configuration.

The method makes use of an O-grid to represent the confined test section and its dual treatment of wall interference and blockage effects through simultaneous application of porosity and boundary layer suction is believed to be quite original.

The study is called for to eliminate the noise between the significant macro variables from the perspective of the cause-and-effect approach to indicate why and how the return of solar projects is being affected by these.

The study aims to investigate the spread between unit selling electricity prices of a monthly production of 250 KW solar project installed in Türkiye and USD/TRY.

A relational framework is designed by drawing on the variables determined as crude oil prices, United States (US) 2-year yield, Dollar Index (DXY), USD/TRY, the annual inflation rate of Türkiye, and unit selling electricity prices. Then, a multivariate approach is performed through Matlab to analyse the correlational relationships and structure the curve estimation models.

The observations show that the gradually rising spread between unit selling electricity price and USD/TRY signals the reduction in return-on-investment rate of solar energy projects because of the particular causes of the European energy crisis by the reason of Russia and Ukraine war and escalating risks in DXY and US treasury yields as a result of federal fund rate hikes against inflationary pressures. Solar energy investments are delicate instruments to global oil shocks and higher DXY in controlling Inflation and currency volatility; therefore, resilient policies should solicit the demand because of environmental and economic reasons to reduce the external dependency of Türkiye.

The multidisciplinary Fluvalps‐3000 research project focuses on the variability of the Late Holocene and historical fluvial dynamics in alpine catchments. The purpose of this paper is to examine the potential of a 3,600 year‐long record composed from fluvial deposits for flood hazard assessment.

The research is based on a multi‐proxy approach integrating methods of various disciplines as sedimentology, geochronology, pedology, geomorphology, palynology, history, and archaeology. This paper considers particularly the sedimentological and geocronological methods applied to the fluvial records of several key sections of the Lütschine and Lombach fan deltas.

The sedimentary data of the high‐resolution fan delta record show up to seven major aggradation pulses from 3,600 cal yr BP to present. Furthermore, 19 minor burial episodes occur between 3,600 and 1,050 cal yr BP at average intervals between 113 years (Lütschine) and 105 years (Lombach) suggesting that aggradation during the focused period was triggered by centennial flood events. Nine coarse‐grained flood layers of the Lütschine record, deposited during the last 3,350 years by catastrophic flood events at a recurrence interval of 370 years, coincide with positive radiocarbon anomalies and cold phases in the Alps. The solar influence on regional hydrological regime is proposed as the main factor triggering the flooding events. However, the impact of land‐use changes in the region since 2,300 cal yr BP was detected by pollen and geochemical proxy data from fluvial deposits.

According to the results, the 2005 flood may not be considered as one of these mayor catastrophic events, thus providing useful data for future risk assessment by regional and local authorities. The 3,600 year flood history derived from fan delta proxies, presented in this paper, is unique in the European Alps.

A hybrid spectral/boundary element approach is proposed to examine the influence of Couette channel flow on transient coating of highly elastic fluids. The viscoelastic instability of one‐dimensional plane Couette flow is first determined for a large class of Oldroyd fluids with added viscosity, which typically represent polymer solutions composed of a Newtonian solvent and a polymeric solute. The Johnson‐Segalman equation is used as the constitutive model. The velocity profile inside the channel is taken as the exit profile for the emerging free‐surface flow. The flow is assumed to be Newtonian as it emerges from the channel. An estimate of the magnitude of the rate‐of‐strain tensor components in the free‐surface region reveals that they are generally smaller than the shear rate inside the channel. The evolution of the flow front is simulated using the boundary element method. For the channel flow, the problem is reduced to a non‐linear dynamical system using the Galerkin projection method. Stability analysis indicates that the channel velocity may be linear or non‐linear depending on the range of the Weissenberg number. The evolution of the coating flow at the exit is examined for steady as well as transient (monotonic and oscillatory) channel flow. It is found that adverse flow can exist as a result of fluid elasticity, which can hinder the process of blade coating.

This study aims to develop and empirically test a “stocks and flows”-based model of intellectual capital (IC) that examines how human-embodied knowledge (i.e., human capital) can be transformed into organisational non-embodied knowledge (i.e., organisational capital) through the mediating roles of social capital and the knowledge management (KM) process of knowledge transfer.

A structural model was developed and empirically tested using a survey data set of 295 questionnaires collected from the “knowledge-intensive” pharmaceutical manufacturing industry in Jordan.

Empirical results revealed that each of human capital, social capital and knowledge transfer has a positive and significant effect on organizational capital. In particular, knowledge transfer emerged as having the strongest effect. Social capital, on the other hand, emerged as having a positive and significant effect on knowledge transfer. Mediation analysis revealed that while human capital significantly affects organizational capital, such an effect is partially and significantly mediated by each of social capital as well as knowledge transfer.

This study provides senior managers in pharmaceutical manufacturing firms with valuable insights pertaining to the development of their IC, in terms of how to exploit their knowledge stocks (i.e. human-embodied knowledge and organizational non-embodied knowledge) through managing knowledge flows between them. This was shown to be significantly leveraged by the mediating roles of social capital as well as knowledge transfer.

This study provides important theoretical and empirical contributions to the extant literature in a number of ways. It provides better understanding of the intricate linkages among IC dimensions, and how these play complementary roles in organizational capital development. It has also provided important empirical evidence highlighting the vital mediating roles of social capital and knowledge transfer in facilitating knowledge flows, which aid in transforming human-embodied knowledge stocks into organizational-embodied ones.