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This paper aims to overcome the problem that the single structure of the driving term of the grey prediction model is not adapted to the complexity and diversity of the actual modeling objects, which leads to poor modeling results.

Firstly, the nonlinear law between the raw data and time point is fully mined by expanding the nonlinear term and the range of order. Secondly, through the synchronous optimization of model structure and parameter, the dynamic adjustment of the model with the change of the modeled object is realized. Finally, the objective optimization of nonlinear driving term and cumulative order of the model is realized by particle swarm optimization PSO algorithm.

The model can achieve strong compatibility with multiple existing models through parameter transformation. The synchronous optimization of model structure and parameter has a significant improvement over the single optimization method. The new model has a wide range of applications and strong modeling capabilities.

A novel grey prediction model with structure variability and optimizing parameter synchronization is proposed.

The highlights of the paper are as follows:

1. A new grey prediction model with a unified nonlinear structure is proposed.

2. The new model can be fully compatible with multiple traditional grey models.

3. The new model solves the defect of poor adaptability of the traditional grey models.

4. The parameters of the new model are optimized by PSO algorithm.

5. Cases verify that the new model outperforms other models significantly.

A new grey prediction model with a unified nonlinear structure is proposed.

The new model can be fully compatible with multiple traditional grey models.

The new model solves the defect of poor adaptability of the traditional grey models.

The parameters of the new model are optimized by PSO algorithm.

Cases verify that the new model outperforms other models significantly.

This paper aims to discuss rising sea levels at the global, regional, and community scale and illustrate the necessity for public comprehension and involvement. It also aims to demonstrate geographic information systems (GIS) as an efficient tool for modeling and disseminating information with the expectation that coastal communities will benefit by joining in a process to integrate this knowledge into broad‐based decision making.

GIS is capable of creating, analyzing, and displaying sea level rise scenarios enabling local officials to address the negative effects of elevated sea levels by allowing them to identify both built and biotic communities that are at risk, assess the situation, and develop mitigation strategies. The paper makes use of a case study of Daytona Beach, Florida, to examine the impacts of storm surge.

A GIS model, produced for south Florida integrating land use and elevation data to illustrate locations that lie below five feet, reveals that heavily populated urban areas in Miami‐Dade County could be inundated during extreme high tide and storm surge events. The GIS also indicates that much of the Florida Keys has elevations below five feet and is at risk of flooding if sea levels rise at projected rates.

The case study of Daytona Beach, Florida, can be replicated at other coastal locations by using GIS to assimilate spatial data and generate meaningful graphic models to be interpreted by those responsible for minimizing the risks from rising sea levels.

Transient climate sensitivity relates total climate forcings from anthropogenic and other sources to surface temperature. Global transient climate sensitivity is well studied, as are the related concepts of equilibrium climate sensitivity (ECS) and transient climate response (TCR), but spatially disaggregated local climate sensitivity (LCS) is less so. An energy balance model (EBM) and an easily implemented semiparametric statistical approach are proposed to estimate LCS using the historical record and to assess its contribution to global transient climate sensitivity. Results suggest that areas dominated by ocean tend to import energy, they are relatively more sensitive to forcings, but they warm more slowly than areas dominated by land. Economic implications are discussed.

This article is concerned with the numerical simulation of a reverse roller‐coating process, which involves the computation of Newtonian viscous incompressible flows with free‐surfaces. A numerical scheme is applied of a transient finite element form, a semi‐implicit Taylor‐Galerkin/pressurecorrection algorithm. For free‐surface prediction, we use kinematic boundary adjustment with a mesh‐stretching algorithm. In the present work, an alloy sheet (foil) passes over a large roller and then a smaller applicator roller, which provides the in‐feed. In combination, the applicator roller, the foil and the fluid form part of the underside coating mechanism. The aim of this study is to investigate fundamental aspects of the process, to ultimately address typical coating instabilities. These may take the form of chatter and starvation. A uniform coating thickness is the desired objective. A mathematical model is derived to describe the solvent coating applied to the underside of the sheet, assuming that the lacquer is a Newtonian fluid. In particular, the work has concentrated on the flow patterns that result and a parameter sensitivity analysis covering the appropriate operating windows of applied conditions. Effects of independent variation in roll‐speed and foil‐speed are investigated, to find that maxima in pressure, lift and drag arise at the nip and are influenced in a linear fashion.

Business process management (BPM) has attracted much focus throughout the years, yet there have been calls questioning the future of BPM. The purpose of this paper is to explore the current state of the field through a dynamic literature review and identify the main challenges for its future development.

A dynamic co-citation network analysis identifies the “evolution” of knowledge of BPM and the most influential works. The results present the developed BPM subthemes in the form of clusters.

The focus within the field has shifted from facilitating wide-ranging business performance improvements to creating introverted optimizations within a particular BPM subgroup. The BPM field has thus experienced strong fragmentation throughout the years and has accrued into self-fueling subareas of BPM research such as business process modeling and workflow management. Those subareas often neglect related disciplines in other management, process modeling and organizational improvement fields.

The study is limited by the initial keyword choice of the authors. The subsequent co-citation analysis ameliorates the subjectivity since it produces a data set and contributions based on references.

A new combination of historical development and the state-of-the-art of the BPM field, by employing a co-citation and cluster analysis. This dynamic literature review presents the current state of the theoretical core and attempts to identify the crossroads that BPM has reached. The study can be replicated in the future to track the changes in the field.

Sustainable atmospheric management today involves a complex set of issues arising from the deliberate or inadvertent use of the atmosphere as a repository for waste products arising from human activities. Urban pollution affects human health, building materials and vegetation. Acidic emissions and excess nutrients produce both acid rain and dry deposition that affect terrestrial, freshwater and ocean chemistry and ecosystems. The production and effects of atmospheric pollution can transcend national boundaries and thus mitigation will require cooperation on regional and global levels, as well as local action. Global pollution includes greenhouse gases and atmospheric particles which are changing the global climate and affecting human health. While technological solutions will play an important part, the large reductions in emissions necessary to achieve sustainability will involve adopting lifestyles that conserve energy and minimise pollution. These concerns were foreshadowed in the writings of Fritz Schumacher.

A semi‐implicit Taylor‐Galerkin/pressure‐correction algorithm of a transient finite element form is applied to analyse the flow instabilities that commonly arise during reverse‐roller coating. A mathematical model is derived to describe the solvent coating applied to the underside of the sheet, assuming that the lacquer is a Newtonian fluid and considering the flow between application roller and foil. Here, we have investigated the effects of temporal instabilities, caused by adjustment of nip‐gap width and foil‐position, extending our previous steady‐state analysis. Foil shifting is found to have a significant influence upon pressure and lift on the foil, drag on the roller, and free coating profiles. This would result in process instabilities, such as chatter and flow‐lines. In contrast, nip‐gap adjustment has no influence on the coating finish.

This paper examines strategies to meet the communication challenge of change brought on through planned transitions, by the stress of a crisis, or as a result of the social transformation in work and the nature of work. It explores the cycles of change to create a foundation for understanding the communication of change to individual people in an organisation. It examines the impact of reengineering as a change vehicle, the role of trust in reengineering, and some reasons reengineering appears to have shortcomings for individuals coping with change. A reengineering case study is also presented. Successful communication of change demonstrates an understanding of the cycle of change, the importance of trust in the communication process, the essential personal nature of change, the necessity for continuous face‐to‐face communication, and a recognition that current global changes are symptoms of a shift in the human condition.

Climate change is a vortical situation of increasing turbulent conditions called the “sixth extinction.” In this chapter I begin with the two-dimensional Archimedean spiral (the coiling rope), move on to the three-dimensional corkscrew spiral (or threaded screw), and on to the three-dimensional double spiral of upward and descending movement with many nested vortices. The latter is more necessary to understand climate change, and our possible future in it, than the flat spirals. Ironically, Plato wrote about the double-twisted spiral with its nested vortices long ago. We are in a double-spiralic helice, a vortical phenomenon with centripetal and centrifugal, upward-ascending and downward-descending waves, and left and right turning whorls. It is worse than this. We need to challenge spiral symmetry thinking. There is no reality axis around which the spiralic helice is spinning, and there is no symmetry. There is no uniformity to the spiralic vortices of turbulence of the sixth extinction.