Search

Forthcoming smart energy era is in strong pursuit of full-fledged rechargeable power sources with reliable electrochemical performances and shape versatility. Here, as a naturally abundant/environmentally friendly cellulose-mediated cell architecture strategy to address this challenging issue, a new class of hetero-nanonet (HN) paper batteries based on 1D building blocks of cellulose nanofibrils (CNFs)/multiwall carbon nanotubes (MWNTs) is demonstrated. The HN paper batteries consist of CNF/MWNT-intermingled heteronets embracing electrode active powders (CM electrodes) and microporous CNF separator membranes. The CNF/MWNT heteronet-mediated material/structural uniqueness enables the construction of 3D bicontinuous electron/ion transport pathways in the CM electrodes, thus facilitating electrochemical reaction kinetics. Furthermore, the metallic current collectors-free, CNF/MWNT heteronet architecture allows multiple stacking of CM electrodes in series, eventually leading to user-tailored, ultrathick (i.e., high-mass loading) electrodes far beyond those accessible with conventional battery technologies. Notably, the HN battery (multistacked LiNi0.5Mn1.5O4 (cathode)/multistacked graphite (anode)) provides exceptionally high-energy density (=226 Wh kg−1 per cell at 400 W kg−1 per cell), which surpasses the target value (=200 Wh kg−1 at 400 W kg−1) of long-range (=300 miles) electric vehicle batteries. In addition, the heteronet-enabled mechanical compliance of CM electrodes, in combination with readily deformable CNF separators, allows the fabrication of paper crane batteries via origami folding technique. [ABSTRACT FROM AUTHOR]

Rheological properties of fiber/polymer suspensions and dynamic mechanical analysis (DMA) of paper sheets containing the same polymers were measured. Correlations between viscoelastic properties of suspensions and strength of paper sheet are presented. Rheological properties of suspensions of microfibrillar cellulose (MFC) and a set of water soluble polymers were measured. Rheological properties of these complex fluids vary considerably depending on the added polymer. A suspension of fiber and carboxymethyl cellulose (CMC) exhibits a viscosity higher than the sum of the viscosity of the individual components in the suspension. In contrast, when cationic starch (CS) is used together with the fiber, the yielding behavior rather than the viscosity is characteristic of the suspension. Dynamic mechanical properties of paper sheets containing CMC or CS as additives were studied at different humidity levels. Different yielding behavior observed in oscillatory rheology can be correlated with straining behavior in dynamic mechanical properties. © 2010 Wiley Periodicals, Inc. J Appl Polym Sci, 2010 [ABSTRACT FROM AUTHOR]

Copyright of Earthquake Engineering & Structural Dynamics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The weak AC grid in a modular multilevel converter modular multilevel converter based high voltage direct current (MMC‐HVDC) receiving‐end system requires faster reactive power support from the receiving‐end MMC. However, under the MMC traditional constant AC voltage dual‐loop control strategy, the increase in MMC's reactive power support speed will reduce the system stability. The reactive power cascade control strategy is a novel MMC control strategy. The analysis in this paper demonstrates that it possesses advanced performance under faster reactive power support, which is required by the MMC connected to a weak AC grid, but, some of its control links and operations can cause impacts exceeding that a weak AC grid can undertake. To solve this problem, based on the original control strategy, this paper proposes an improved reactive power cascade control strategy for weak AC grid conditions. The complete framework and the detailed design of primary control links of the improved cascade control strategy are displayed in this paper. Finally, a digital simulation has been conducted to validate the analysis and the proposed improved control strategy in this paper. [ABSTRACT FROM AUTHOR]

To create synergies between offshore wind integration and operational flexibility, interconnecting HVDC links to multi‐terminal networks is highly desired. However, its technical realisation remains a major challenge: In particular, it is crucial to prevent DC faults from leading to an intolerable loss of power infeed to the connected AC grids. To restrict this loss of power infeed, this paper proposes a concept for linear HVDC networks that is based on state‐of‐the‐art equipment only—that is, without dependence on DC circuit breakers. In this concept, the DC interconnection is preventively decoupled via DC high‐speed switches whenever the cumulative wind infeed exceeds the frequency containment reserve of the AC grid, but remains coupled at all other times. The decoupling is realised via controlling the coupling line current to zero through coordinated setpoint changes for the converters' (VDC/P)‐droop controls. Both the decoupling sequence and the DC fault behaviour in decoupled state are validated via EMT simulations. In addition, limitations with regard to expandability are discussed. The proposed concept may not only limit the loss of infeed, but mitigates risks as a fall‐back level for more complex offshore (multi‐vendor) multi‐terminal HVDC topologies—and may thus accelerate their development at reasonable costs. [ABSTRACT FROM AUTHOR]

In recent years 3D printing technology is developing rapidly. In the foreseeable future, when 3D printing is widely used, the world’s industrial structure will be greatly changed. Based on the actual data, this paper constructs an international supply chain model using system dynamics method. And it simulates the reconstruction trend of the supply chain after 3D printing application. The conclusion shows that the universal application of 3D printing will lead to the worldwide transport volume shrinking dramatically. The manufacturing activities will gradually outflow to the countries which are closer to the final customers. The relevant countries should carry out feasible measures to face this opportunity and challenge. The measures include the reform of logistics facilities, the logistics cooperation with the origin of 3D printing materials, and the matched transportation of 3D printing materials and traditional processing ones. [ABSTRACT FROM AUTHOR]

This paper describes a system dynamics study of the fine paper division of a large integrated forest products company. The goals of the study were to help the company solve a thorny business problem and to demonstrate a strategic application of system dynamics methodology. To maintain client confidentiality we have changed the names of the company, its division and its various sites, and re-labeled the specific markets in which the company operates as A, B, C, etc. We review the case, present our methods and findings, and finally present a strategic assessment of the firm and its requirements for the future. [ABSTRACT FROM AUTHOR]

Hydrological extremes, such as droughts and floods, can trigger a complex web of compound and cascading impacts (CCI) due to interdependencies between coupled natural and social systems. However, current decision‐making processes typically only consider one impact and disaster event at a time, ignoring causal chains, feedback loops, and conditional dependencies between impacts. Analyses capturing these complex patterns across space and time are thus needed to inform effective adaptation planning. This perspective paper aims to bridge this critical gap by presenting methods for assessing the dynamics of the multi‐sector CCI of hydrological extremes. We discuss existing challenges, good practices, and potential ways forward. Rather than pursuing a single methodological approach, we advocate for methodological pluralism. We see complementary or even convergent roles for analyses based on quantitative (e.g., data‐mining, systems modeling) and qualitative methods (e.g., mental models, qualitative storylines). The data‐driven and knowledge‐driven methods provided here can serve as a useful starting point for understanding the dynamics of both high‐frequency CCI and low‐likelihood but high‐impact CCI. With this perspective, we hope to foster research on CCI to improve the development of adaptation strategies for reducing the risk of hydrological extremes. Plain Language Summary: Droughts and floods can have significant impacts on both natural and social systems. These impacts are often interconnected, resulting in a complex chain of events. In this perspective paper, we aim to assist researchers in understanding the dynamics of compound and cascading impacts (CCI) caused by hydrological extremes. We provide an overview of various methods that can be utilized to assess and analyze interconnected impacts. To begin, we address the ongoing challenges associated with CCI research, such as the limited availability of comprehensive impact data spanning multiple sectors and over extended periods. Subsequently, we present a range of qualitative and quantitative methods that can be employed to analyze CCI dynamics, supported by case study examples. Finally, we conclude with six recommendations to advance the research in this field. Key Points: Systematic efforts to collect data on impacts across multiple sectors, systems, and years are requiredMethodological pluralism is necessary to fully address the complexity of compound and cascading impacts (CCI) and their underlying risk driversInvestigation of the risks of multi‐sector impacts should be guided not only by probability but also by plausibility considerations [ABSTRACT FROM AUTHOR]

Adhesives offer both good damping properties and very high strengths. The possibilities for using the positive damping properties in particular to optimise dynamically stressed steel structures have rarely been explored to date. In this paper, comprehensive numerical and experimental investigations are presented. In numerical investigations on dynamically loaded, representative steel structures, the potential for damping of structures by adhesively bonded joints is analysed. Numerical investigations show that the vibration amplitudes of adhesively bonded structures are more than 95 % lower than those of welded reference structures in the relevant resonance case. Based on this, the damping properties of adhesively bonded tubular steel joints in a scale relevant for construction industry were experimentally investigated. Different geometry and test boundary conditions are investigated in a parameter study. The loss factor of tubular joints is a maximum of 0.38, which is relevant for steel construction. Based on the results of experimental investiga‐tions, a methodology is presented for the analytic determination of the damp‐ing properties of adhesively bonded tubular joints for various specimen ge‐ometries and stress boundary conditions. For this purpose, dimensional anal‐ysis is carried out using the Buckingham Pi Theorem. [ABSTRACT FROM AUTHOR]

This paper offers non‐linear control for enhancing the transient stability in power systems containing a photovoltaic (PV) and doubly fed induction generator (DFIG) by transient energy function (TEF) method and finite‐time observers. At first, the TEF method is utilized to enhance the transient stability in a power system containing a PV, DFIG, and synchronous generator (SG) by constructing a hybrid Lyapunov function. Then, the derivative terms in control are estimated with finite‐time observers. The main contribution of the research is the application of the TEF technique in the transient stability evaluation of a power system consisting of PV, SG, and DFIG. Another innovation of the research is the simultaneous control of DFIG and PV, whose uncertain parameters are estimated with the use of finite‐time observer. The proposed non‐linear control scheme is robust against changes in the configuration of the power system. In order to show the capability of this control scheme, time domain simulations are performed on the IEEE 9‐bus, and the NEW ENGLAND Standard 39‐Bus power system. Using the obtained result, some comparisons are made with the back‐stepping control scheme to clarify the superiority of the proposed method. The comparisons show that the proposed non‐linear control scheme can properly provide extra damping to reduce the first‐swing fluctuations in less time. The manuscript contains the new original results of the authors' research. In this article, to maintain and improve the transient stability, a new controller with simultaneous management of photovoltaic (PV) and doubly fed induction generator (DFIG) has been developed. The contributions of the paper are as follows. (1) The transient energy function (TEF) is obtained for the power system containing synchronous generator (SG) and DFIG. (2) The control laws are acquired with four PV and DFIG control variables. (3) The derivative parameters of the PV and DFIG controls by a finite‐time observer are estimated. [ABSTRACT FROM AUTHOR]

In this paper, we investigate local and nonlocal reductions of a discrete negative order Ablowitz–Kaup–Newell–Segur equation. By the bilinearization reduction method, we construct exact solutions in double Casoratian form to the reduced nonlocal discrete sine‐Gordon equations. Then, nonlocal semidiscrete sine‐Gordon equations and their solutions are obtained through the continuum limits. The dynamics of soliton solutions are analyzed and illustrated by asymptotic analysis. The research ideas and methods in this paper can be generalized to other nonlocal discrete integrable systems. [ABSTRACT FROM AUTHOR]

This paper proposes and develops the idea of using a community supercapacitor (SC) in an islanded DC multiple nano‐grids (MNG) system. In the proposed structure, the community SC works in tandem with the community/cloud battery energy storage system (CBESS) of the DC MNG. This combination forms a grid‐forming battery‐supercapacitor cloud hybrid energy storage system (CHESS), which is responsible for maintaining the voltage stability and power balance at the common DC bus of the MNG system. Also, to effectively utilize the SC capacity, this paper proposes a modified control structure for each DC nano‐grid enabling the local BESS units to coordinate with the community SC. Then, it is shown that, in the proposed grid‐forming CHESS technology, the output power of all the local and community BESS units has significantly smoother power variations leading to a higher battery lifetime. Additionally, it is shown that the proposed CHESS technology can improve the voltage stability of the system leading to higher voltage quality. Moreover, it is discussed analytically that the proposed CHESS technology requires less energy storage capacity for the community SC compared to its equivalent MNG with a distributed SC architecture. Finally, these results are verified by simulating two case‐study MNGs in MATLAB/Simulink. [ABSTRACT FROM AUTHOR]

'Zombie lending' occurs when a lender supports an otherwise insolvent borrower. Recent studies document that zombie lending has been widespread following the European sovereign debt crisis. In this paper, I develop a quantitative model to study the impact of these lending practices on firm dynamics. In the model, firm liquidations and zombie lending arise endogenously. The model provides a good match to key euro‐area firm statistics over the period 2011–14. I find that zombie lending has a substantial impact on borrowing costs, helping more low‐productivity firms to survive. This, in turn, causes a drag on aggregate output, investment and productivity. [ABSTRACT FROM AUTHOR]

Several forms for constructing novel physics‐informed neural‐networks (PINNs) for the solution of partial‐differential‐algebraic equations (PDAEs) based on derivative operator splitting are proposed, using the nonlinear Kirchhoff rod as a prototype for demonstration. The present work is a natural extension of our review paper (Vu‐Quoc and Humer, CMES‐Comput Modeling Eng Sci, 137(2):1069–1343, 2023) aiming at both experts and first‐time learners of both deep learning and PINN frameworks, among which the open‐source DeepXDE (DDE; SIAM Rev, 63(1):208–228, 2021) is likely the most well documented framework with many examples. Yet, we encountered some pathological problems (time shift, amplification, static solutions) and proposed novel methods to resolve them. Among these novel methods are the PDE forms, which evolve from the lower‐level form with fewer unknown dependent variables (e.g., displacements, slope, finite extension) to higher‐level form with more dependent variables (e.g., forces, moments, momenta), in addition to those from lower‐level forms. Traditionally, the highest‐level form, the balance‐of‐momenta form, is the starting point for (hand) deriving the lowest‐level form through a tedious (and error prone) process of successive substitutions. The next step in a finite element method is to discretize the lowest‐level form upon forming a weak form and linearization with appropriate interpolation functions, followed by their implementation in a code and testing. The time‐consuming tedium in all of these steps could be bypassed by applying the proposed novel PINN directly to the highest‐level form. We also developed a script based on JAX, the High Performance Array Computing library. For the axial motion of elastic bar, while our JAX script did not show the pathological problems of DDE‐T (DDE with TensorFlow backend), it is slower than DDE‐T. Moreover, that DDE‐T itself being more efficient in higher‐level form than in lower‐level form makes working directly with higher‐level form even more attractive in addition to the advantages mentioned further above. Since coming up with an appropriate learning‐rate schedule for a good solution is more art than science, we systematically codified in detail our experience running optimization (network training) through a normalization/standardization of the network‐training process so readers can reproduce our results. [ABSTRACT FROM AUTHOR]

This paper studies the complexity analysis in production between competition and R&D for a traditional energy vehicles enterprise and a new energy vehicles enterprise under the introduction of corporate average fuel consumption credits and new energy vehicle credits mandate. From the internal perspective of market complexity evolution, this paper analyzes the internal mechanism of market competition fluctuation and discusses the influence of different corresponding speeds of enterprises on market stability through the nonlinear dynamics' theory. The research results show that the adjustment coefficient of R&D investment and the price coefficient of credit transactions are the key factors affecting the competitive strategies of the two companies. The difference between these two factors will even change the relative R&D investment intensity, relative profitability, and market stability of the two companies in a balanced state. In addition, the numerical analysis showed that the time-delay feedback control method could control the unstable behavior of the dynamic system efficiently and quickly and make the market quickly recover a stable and orderly state, which provided a scientific basis for decision makers to effectively solve the market instability. [ABSTRACT FROM AUTHOR]

The high penetration of distributed generation systems poses challenges in effectively managing both DC bus voltage and power‐sharing in DC microgrids (MGs). To ensure precise voltage regulation across various distributed generation systems and maintain overall system stability, this paper studies the modelling and control of an islanded DC MG described by a set of nonlinear‐nonaffine differential equations. In the proposed DC MG, a battery storage, a photovoltaic (PV) power plant, and a back‐end power converter with DC loads have been connected to a common DC bus. First, a dynamic model of a DC MG was developed. Then, to find the maximum power point of solar PV, a straightforward method based on an artificial neural net is employed. Afterward, a nonlinear local state feedback controller through output regulation theory is applied to achieve voltage stability, overcoming the drawbacks of droop‐based techniques. Moreover, partial state feedback capability simplifies controller design. To verify the effectiveness of the proposed approach, various scenarios, including sudden load variation, illumination change, and changes in the MG configuration, have been examined. Finally, numerical studies were carried out in a simulation environment to demonstrate the superiority of the proposed nonlinear control scheme over constant feedback control. [ABSTRACT FROM AUTHOR]

Copyright of Disasters is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The COVID-19 pandemic affected financial instruments and markets all around the world. Credit default swap contracts of EU companies were analysed in this paper. The data consist of daily credit default swap spreads and market capitalisations of EU companies, exchange rates, LIBOR rates, bond yields, and commodity futures prices from January 2010 to February 2022. The dynamics in the performance of forecasting models for credit default swap spreads before and after the declaration of the COVID-19 pandemic were measured by relative error metrics, i.e., relative root mean squared error, relative mean absolute error, and relative mean absolute percentage error. The results show a small drop in the performance right after the declaration of the COVID-19 pandemic that is mitigated by strong performance in the rest of the year, followed by a significant drop in the performance in the second year of the pandemic. [ABSTRACT FROM AUTHOR]

Background: Diadochokinetic rates tasks are frequently used for the assessment of diadochokinesia (DKK) in young and elderly adults. However, there is scarce research on healthy elderly adults over 65 years old, and little is known about the effect of different types of stimuli (non‐words/real words) in this specific population. Furthermore, the current research supports significant language variations, highlighting the need for language‐specific norms. Aims: To investigate the effect of age, gender and type of stimuli (non‐words versus real words) in DDK rates in healthy elderly adults of over 65 years of age, and to provide normative data for the Greek language. Methods & Procedures: The participants were 791 healthy monolingual Greek‐speaking adults (531 adults, aged 20–39 years; 157 participants aged 65–74 years; and 103 participants aged over 75 years). All participants were monolingual speakers of Greek and had normal hearing acuity, which allowed them to understand and follow instructions. Participants with a medical condition, which would affect DDK rates' performance, were excluded from the study. The time‐by‐count method was used, and all participants had to repeat as accurately and fast as possible: (1) four disyllabic non‐words (/′gaba/, /′taka/, /′kata/, /′baga/); (2) four disyllabic real words (/′kapa/, /′tapa/, /ka′la/, /′paka/); and (3) two trisyllabic non‐words (/′pataka/, /′badaga/). All responses were recorded and the speech samples that did not include at least 5 s of correct repetitions were excluded from the analysis. Outcomes & Results: Age affected DDK rates significantly, with older adults achieving slower DDK rates for all speech stimuli (non‐words/real words). Gender did not have an effect on the performance of DDK rates. The type of speech stimuli affected DDK rates significantly for all age groups. Analytically, trisyllabic non‐word stimuli were articulated more slowly than disyllabic non‐word stimuli, and real words were produced faster than non‐words. A linear regression analysis revealed that only the repetition of non‐words predicted 68.4% of the performance on the repetition of trisyllabic non‐words. Conclusions & Implications: The above results complement prior research, which supports that real word stimuli yield faster performance than non‐word stimuli. Clinicians should keep in mind that age, language and type of stimuli (non‐words/real words) affect significantly the performance of DDK rates, as well as the fact that different types of stimuli tap distinct underlying levels of speech. The current research highlights the need for language‐specific norms for different populations. What this paper adds: What is already known on the subject: DDK rates are significantly affected by the types of stimuli and language used. Moreover, the normal ageing process decreases performance in terms of DDK rates, but scarce evidence exists for healthy elderly adults over 65 years old. What this paper adds to existing knowledge: Most studies have examined DDK rates in healthy elderly people with restricted samples and using non‐word stimuli. The current study administered different types of stimuli (non‐words/words) in a large sample of healthy elderly participants. This is also the first study to attempt to provide DDK normative data for this population in the Greek language. What are the potential or actual clinical implications of this work?: The results of this study strongly suggest that clinicians should bear in mind the significant impact age and language have on performance in terms of DDK rates, especially when normative data are not available for a certain language or age group. Furthermore, non‐word and real‐word stimuli cannot be used interchangeably since they tap into distinct underlying levels of speech, thus providing clinicians with useful information about the level of breakdown and the proper treatment plan. [ABSTRACT FROM AUTHOR]

Understanding international transmission mechanism that generates the world business cycle is of immense interest. In this paper, we compile a rich global dataset and utilize a trade‐linked structural vector autoregression (SVAR) model with a relatively realistic identification scheme to construct a worldwide dynamic interdependency system. Empirical results indicate that the trade‐linked SVAR system can largely capture the common dynamic properties of national business cycle fluctuations, providing a meaningful transmission foundation to the world business cycle derived from dynamic factor models. Based on the worldwide trade‐linked SVAR system, we further shed light on three crucial topics in international economics. The findings and methods in this paper help to evaluate the macroeconomic consequences of recent trade dispute between world major economies. [ABSTRACT FROM AUTHOR]

Abstract: The present paper reviews the use of temporal dominance of sensations (TDS) sensory methodology in relation to texture evaluation. From more than 100 papers initially screened, 28 dealing with the texture of hard solid foods that require mastication were selected. The attributes evaluated by TDS were comprehensively analyzed and the phases of the mastication period in which they occurred were studied. The relation between these attributes and the initial mechanical food properties, the particle size, shape, and aggregation of the increasingly destroyed food structure, and the evolving properties of the bolus through to swallowing were also examined. Results from complementary techniques used alongside TDS, both sensory and nonsensory, were also analyzed. The contribution of TDS methodology to understanding the texture construct is shown to be reliable and suggestions are made for future lines of research. Practical applications: The literature on the temporal dominance of sensations method is constantly increasing. The present review examines the application of this method to the dynamics of texture perception of hard solid foods. The key texture attributes perceived in each phase of mastication, together with their relation to the initial food structure, gradual comminution, and bolus formation, will shed light on the usefulness of this methodology for food texture appraisal. [ABSTRACT FROM AUTHOR]

This paper mainly discusses the dynamics of poroelastic media using the finite element analysis based on the u‐v‐p full formulation, where u${{\bm u}}$, v${{\bm v}}$, and p denote the solid displacement, relative fluid velocity with respect to solid velocity, and pore fluid pressure. It incorporates the effect of relative fluid acceleration with respect to solid acceleration on soil dynamic response. The u${ {\bm u}}$‐v${ {\bm v}}$‐p formulation is first verified through the comparison with the analytical solution. After that, the response of one‐dimensional saturated soil column and two‐dimensional partially saturated soil layer subjected to vertical loading with different combinations of soil permeability and loading frequency are investigated using the analyses with the u${ {\bm u}}$‐v${ {\bm v}}$‐p and u${ {\bm u}}$‐p formulations, based on which the effect of relative pore fluid motion is discussed and the differences in the soil response between two kinds of analysis approaches are examined. Results reveal that the rapid fluid flow has a pronounced effect on soil dynamics and the soil with a greater degree of saturation is more sensitive to the increase of loading frequency and soil permeability. The soil dynamic response can basically be divided into two main categories that represent insignificant and significant flow motion depending on loading frequency and soil permeability. Furthermore, despite vertical loading, horizontal soil response can also be affected by the large relative pore fluid flow when loading frequency and soil permeability are large. In addition, the simplified formulation can still be applicable to predict dynamics of poroelastic media in cases with high loading frequency and low soil permeability. [ABSTRACT FROM AUTHOR]

This paper develops a novel reference analytical solution for axially loaded piles in inhomogeneous soils, extending the pioneering elastodynamic model of Nogami and Novak (1976) to piles embedded in vertically inhomogeneous soils. Following the classical earlier model, the pile is modelled as a rod, using the strength‐of‐materials solution, and the soil layer as an approximate continuum, which rest on rigid rock. The approximation lies in reducing the number of dependent variables by eliminating certain stresses and displacements in the governing elastodynamic equations: the vertical normal and vertical shear stresses in the soil are controlled exclusively by the vertical component of the soil displacement. Soil inhomogeneity is introduced via a power law variation of shear modulus with depth, and perfect bonding is assumed at the soil–pile interface. The proposed generalized formulation treats two types of inhomogeneity by employing pertinent eigen expansions of the dependent variables over the vertical coordinate. The response is expressed in terms of generalized Fourier series and includes: (i) displacements and stresses along the pile and the pile–soil interface; and (ii) displacement and stress in the soil. Contrary to available models for homogeneous soils, the associated Fourier coefficients are coupled, obtained as solutions to a set of simultaneous algebraic equations of equal rank to the number of modes considered. [ABSTRACT FROM AUTHOR]

This paper articulates a framework that clarifies (hitherto unexplored) aspects of the dynamics involved in dyadic partnerships between businesses and nongovernmental organizations (NGOs). At its core lies the proposition that businesses and NGOs operate with heterogeneous idea systems that are institutionalized in the definition of their organizational identities, missions and values statements and theoretically conceived of as institutional logics, worldviews, paradigms and cultures. The meeting of these idea systems is subject to processes of 'syncretism' that critically influence the potential of business–NGO partnerships to meet the normative expectations placed on them. The 'business in society' literature has however remained relatively inexplicit in terms of explaining what these processes might be. Drawing therefore on the literature on syncretism and the precepts of analogical reasoning, this study derives four main syncretic processes that determine the valence of business–NGO partnerships towards either congruity or dissent: borrowing, blending, bridging and breaking. While there is a potential for negative outcomes stemming from the first two processes, and in the fourth, bridging is highlighted as a promising, yet demanding, syncretic way for eliminating fundamental tensions between disparate idea systems. The article concludes with a research agenda, together with an outline of theoretical implications. [ABSTRACT FROM AUTHOR]

This paper proposes an approach for segmentation of power systems to prevent uncontrolled islanding. With the development of microgrids (MGs) and increased penetration of renewable energy sources (RESs) in the power system, it is necessary to consider the effect of MGs and the stochastic behaviour of RESs in the controlled islanding process. First, the enormous search space for finding the boundary points is reduced by the clustering of the coherent generators and the buses which are placed in sections that cannot be separated from the coherent groups. Then, linear AC power flow is defined as a sub‐problem and solved by linear programming to satisfy the power system and MG constraints. In this step, an optimization model is defined, and a mixed‐integer linear programming (MILP)‐based model is suggested to find cut‐sets and islands arrangement with reduced load shedding. In view of the fact that the fluctuation of RESs may have the significant effects on the power imbalance, to cover the uncertainties a scenario based stochastic simulation is considered. Finally, the effect of uncertainties on cut‐sets and load curtailment is evaluated. The effectiveness of the proposed methodology is demonstrated by the simulation on the test system. [ABSTRACT FROM AUTHOR]

Crystal violet is a very common dye in ballpoint ink. Recent research suggests that the degradation of triarylmethane dyes gives an indication of the age of a ballpoint pen entry on a document. The main problem for the quantitative evaluation of the degradation is that it is highly dependent on the exposure to light. Moreover additional factors, such as additives and substrate play an important role in this process. The aim of this work is to compare the degradation pathways of the pure dye in water and ethanol upon exposure to xenon light by UV/VIS spectrophotometry and laser desorption ionization. Significant differences have been observed in the products and the kinetics of the degradation. N-demethylation, an expected decomposition process, was found to take place only in aqueous solution and kinetics calculations showed that the degradation occurred 2.5 times faster in ethanol compared to water. The degradation of crystal violet in inks from four ballpoint pens on paper was also studied for entries made over 2–3 years. It was observed that degradation reactions were quenched by the presence of another dye due to competitive absorption. It was also observed that the thickness of a stroke (concentration of ink) influenced the degradation process. In the absence of light only one ballpoint pen showed slight degradation. A better understanding of the influence of the paper, ink composition, and storage conditions is necessary to interpret correctly the age of an ink based on the degradation of dyes. [ABSTRACT FROM AUTHOR]

This paper investigates the dynamic response of an elastic single-degree-of-freedom oscillator coupled with a rocking wall. Both configurations of a stepping rocking wall and a pinned rocking wall that have been reported in the literature are examined. The full nonlinear equations of motions are derived, and the paper shows through a comprehensive parametric analysis that the coupling with a rocking wall has mixed results on suppressing the dynamic response of the elastic oscillator. The stepping rocking wall is most effective in suppressing displacements of relative flexible structures with a heavier wall being most effective. In contrast, the pinned wall amplifies the displacements along a wide range of the spectrum with a heavier wall being most detrimental. This happens partly because in a pinned wall the moment from its weight works against stability. Copyright © 2016 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

In droop‐controlled DC microgrids, parasitic resistances of long conductive lines introduce additional terms for the power calculation and impact the power sharing accuracy. This paper proposed a comprehensive local control design for enhancing power sharing accuracy and restoring DC bus voltage while increasing stability performance in DC microgrids. A passive controller is used in the primary control to ensure the sufficient bandwidth of controller in case of frequent operation modes alteration and voltage deviation in the DC microgrid. A concept of Virtual Negative Line Resistance (VNLR) is used in the secondary control layer to compensate the real line resistance such that line resistance no longer degrades power sharing accuracy. The common DC bus voltage needs to be monitored in the proposed secondary controller. Simultaneously, the common DC bus voltage can be restored as the designed value. The monitored DC bus voltage signal is filtered by a designed low‐pass filter such that mid‐high frequency dynamics can be decoupled between secondary controls and primary controls. Then the entire local control scheme relaxes three Degrees of Freedom (DoF) which can be used for upper layer controls. Finally, the proposed control method has been experimentally validated in a 50 V DC microgrid laboratory testing system. [ABSTRACT FROM AUTHOR]

Dynamics is a core course in all engineering disciplines. Problem‐solving using computers may be done using programs specific for a problem or class of problems, or by using versatile and professional multibody dynamics packages such as ADAMS. Although such packages are good motivators, they can hardly enhance the student's knowledge of Dynamics. They are also uneconomical in terms of investment and computer infrastructure, unless used for more advanced purposes. So, the objective of the present paper is to propose an alternative by using an open‐source, lower level, multibody dynamics package like PyDy. This is not only economical but also demands knowledge of dynamics and an introductory knowledge of multibody dynamics. Multibody Dynamics being programmable makes the teaching and learning of dynamics more systematic. The approach followed in the present paper is to introduce some basic principles of multibody dynamics to an undergraduate student of conventional dynamics with the objective of exhibiting its systematic approach. With elementary knowledge of multibody dynamics, the students can write small programs for problem‐solving, with say Python, in their early years of engineering education, even before using such packages. Furthermore, this freeware PyDy allows generation of symbolic equations, which further benefits the students. Subsequently, numerical solution along with animation also fulfils the purpose of motivating students. The response of students toward queries connected with willingness to use the package and their perspective about its effectiveness as a supportive tool in learning dynamics has been found to be quite encouraging. [ABSTRACT FROM AUTHOR]

Objective: The goal of this paper is to promote the integration of two approaches to personality and assessment: Contemporary Integrative Interpersonal Theory (CIIT) and the Narrative Identity Approach (NI). Methods: We review CIIT and NI, describe their similarities and differences, and articulate opportunities to integrate the approaches to more fully account for personality dynamics and self‐regulation. Results: We identify several areas within which concepts from CIIT and NI could be synthesized and offer four concrete suggestions for integrating the assessment methods within each approach: (1) using narratives to explicate interpersonal perception, (2) using stories to clarify interpersonal context, (3), using the Interpersonal Situation as a framework for unpacking narrative elements, and (4) coding interpersonal sequences in narrative data. Conclusions: CIIT and NI have potential to augment one another both theoretically and methodologically in ways that would be fruitful for conceptualizing and studying personality dynamics and self‐regulation. [ABSTRACT FROM AUTHOR]

Traveling atmospheric disturbance (TAD) plays an important role in the energy and momentum transfer from the lower atmosphere to the upper atmosphere, and from high‐ to low‐latitudes. It is common to observe TADs propagating toward low latitudes because of enhanced Joule heating and/or the Lorentz force at the high‐latitude ionosphere during storm time. However, energy or momentum variation associated with their equatorward propagation remains unclear. Two geomagnetic storms occurred on 7–8 September 2017 and upper atmospheric disturbances are observed by the Swarm satellites and the Global Navigation Satellite System Total Electron Content network. We conduct a model simulation and term analysis of the energy equation to investigate the dominant terms of TAD. Adiabatic heating, conduction heating, and advection heating dominate the energy budget of TAD. Adiabatic heating plays an important role in the energy budget by transferring the most energy of TAD. An anti‐phase relationship between adiabatic and conduction heating is found in the propagation of these TADs. An in‐phase relationship between adiabatic and advection heating is also found. Physical processes behind these anti‐phase and in‐phase relationships are illustrated with a schematic. Finally, based on the dominant terms and the relationships between them, the whole process of generation, propagation, and dissipation of TAD is given. Plain Language Summary: Wave is a prevalent phenomenon in the atmosphere. They can transfer the energy and momentum from where they are generated to where they arrived. Traveling atmospheric disturbance (TAD) accompanied by gas expansion and compression is a specific wave type in the atmosphere. TAD often has a huge spatial scale of hundreds or even thousands of km, and it can propagate from one hemisphere to another hemisphere or even travel an entire circle around the earth. Many observations about TAD rise a challenge in explaining the mechanism of TAD's generation, propagation, and dissipation. This paper uses a physically based model to study TADs. We use the parameters calculated by the energy equation of the model to study the relatively effective heating processes in the energy budget of TAD. The relatively effective processes are found and relationships between them are shown. Further analysis and explanations are given to understand the relationships between these physical processes. Finally, the whole process from the generation of TAD to the dissipation of TAD is given. Key Points: Model‐data comparisons are used to understand the behavior of traveling atmospheric disturbance (TAD) during a geomagnetic storm on 7–8 September 2017A continental‐scale TAD/traveling ionospheric disturbance pair is observed simultaneouslyThe roles the dominant terms played during the propagation of TAD are given [ABSTRACT FROM AUTHOR]

Digital platforms are supraorganizational entities that use digital technology to facilitate interactions between diverse actors, leading to novel forms of organisation and accompanying forms of control. The current Information Systems (IS) literature, however, struggles to describe control on digital platforms in a way that does justice to the dynamic character of the phenomenon. Taking this as an opportunity, we follow the enactment of control over time and across parties in a hybrid ethnographic study of the social commerce platform Poshmark. Specifically, we conceptualise the dynamics of control as changes in the means of control—formal or informal—and the sources of control—operator or participants—over time. Tracking these conceptual dimensions, we identify the distinct ways control has changed on Poshmark. Synthesising these findings into four dynamics of control, we show that control on digital platforms is rarely static due to aggregate effects arising from the operator and from participant interactions with each other through the digital features deployed on the platform. Based on these insights, our study contributes to the IS literature on control by broadening the conception of control on digital platforms. The theoretical and practical insights generated in this paper thereby lay the foundation for the systematic study of the dynamics of control that are unique to platform environments. [ABSTRACT FROM AUTHOR]

Copyright of Bautechnik is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Complex work in teams requires coordination across team members and their technology as well as the ability to change and adapt over time to achieve effective performance. To support such complex interactions, recent efforts have worked toward the design of adaptive human‐autonomy teaming systems that can provide feedback in or near real time to achieve the desired individual or team results. However, while significant advancements have been made to better model and understand the dynamics of team interaction and its relationship with task performance, appropriate measures of team coordination and computational methods to detect changes in coordination have not yet been widely investigated. Having the capacity to measure coordination in real time is quite promising as it provides the opportunity to provide adaptive feedback that may influence and regulate teams' coordination patterns and, ultimately, drive effective team performance. A critical requirement to reach this potential is having the theoretical and empirical foundation from which to do so. Therefore, the first goal of the paper is to review approaches to coordination dynamics, identify current research gaps, and draw insights from other areas, such as social interaction, relationship science, and psychotherapy. The second goal is to collate extant work on feedback and advance ideas for adaptive feedback systems that have potential to influence coordination in a way that can enhance the effectiveness of team interactions. In addressing these two goals, this work lays the foundation as well as plans for the future of human‐autonomy teams that augment team interactions using coordination‐based measures. This work lays the foundation and plans for the future of human‐autonomy teams that augment team interactions using coordination‐based measures. We review approaches to team coordination dynamics, identify current research gaps, while emphasizing a methodology approach for future work. We also collate extant work on feedback and advance ideas for adaptive feedback systems that have potential to influence effective team coordination. [ABSTRACT FROM AUTHOR]

In this paper, the wetting and corrosion behavior between medium and low carbon mold flux and Al2O3‐ZrO2‐C nozzle refractory were studied through a high‐temperature wetting experiment. Combined with microstructure analysis, the corrosion mechanism of low carbon mold flux on nozzle slag line material was clarified. The results show that the wettability of low‐carbon mold flux and Al2O3‐ZrO2‐C nozzle refractory is better, compared with the traditional medium carbon mold flux, the contact angle between low‐carbon mold flux and Al2O3‐ZrO2‐C material is smaller and the mold flux spreads faster on the nozzle surface at the same temperature range. According to the microstructure analysis, the corrosion degree of low‐carbon protective slag on the ZrO2‐C material of the nozzle slag line is serious, and the corrosion depth is large. Due to the influence of carbon content, the wettability between low‐carbon mold flux and ZrO2‐C material of the nozzle slag line is better, which provides favorable kinetic conditions for the dissolution and penetration of low‐carbon mold flux into the nozzle. In addition, compared with medium carbon slag, the carbon concentration difference between low‐carbon mold flux and nozzle material is larger, resulting in greater diffusion driving force of carbon atoms, which affects the wetting, dissolution, and chemical reaction of the interface between the two phases. [ABSTRACT FROM AUTHOR]

Converter interfaced generation (CIG) may switch into different control modes under different fault scenarios, which poses a significant challenge to the fault calculation of modern power systems. This paper first establishes a reduced fault analysis model of CIG considering control mode switching. By neglecting the fast dynamic processes of the converter controller, CIG with each control mode can be expressed by equality and inequality constraints. Then, an alternative iteration algorithm is proposed to determine the control mode of each grid‐tied converter after fault, which mainly contains the estimation and discrimination steps. In the estimation step, the voltage of the point of common coupling (PCC) and output current of CIG are obtained by simultaneously solving the equality constraints of CIG and the reduced network equation. In the discrimination step, the inequality constraints of CIG are utilized to judge and revise the control mode of each converter. With alternative execution of the estimation and discrimination steps, the fault network can be solved. Simulation studies based on PSCAD/EMTP validate that the proposed method has high accuracy in fault calculation of the CIG embedded system under various fault locations and fault resistances. [ABSTRACT FROM AUTHOR]

This paper concerns traveling waves of the modified Novikov equation by dynamical systems approach. We show dynamics of abundant traveling waves for the modified Novikov equation, including solitary waves, periodic waves, compactons, kink (antikink), and kink‐like (antikink‐like) waves. The kink waves are newly founded in the Novikov equation. Additionally, we also derive exact explicit solitary waves under special parameter conditions. [ABSTRACT FROM AUTHOR]

The article calls for papers related to the theme of system dynamics and transportation for a special issue of the journal "System Dynamics Review."

The recent liberalization of the energy industry provides a challenge for understanding the decision-making processes of the agents involved in their markets. In this new environment, it is of particular interest to investigate consumers' decisions with respect to energy efficiency for a range of purposes that include the assessment of government policy and traders' strategy intents. The neo-classic methodologies reported in the literature generally make strong, and not evident, assumptions with respect to the decision-making processes of end-users, including: complete information, full rationality and lack of risk perception. In this paper, the concept of bounded rationality is incorporated, seeking alternative grounds to the traditional approaches. Against this background, we examine different sets of assumptions based on the concept of rationally bounded energy use and propose policies that may reduce some of the apparent market failures. However, both these claims, as well as the proposed system dynamics models that intend to account for bounded rationality, need to be clearly justified. Here, we do this by indicating, explicitly and implicitly, how bounded rationality operates and what policies and strategies might be appropriate to remove some of the consumers' barriers when confronting decisions. The system dynamics models presented in this paper incorporate consumers' behaviour and alternative policies to assess their likely impact on society. Examples related to the penetration of fuels and lighting appliances are provided, to illustrate the approach. Copyright © 2004 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

The paper reviews references to bounded rationality within the system dynamics literature. It is argued that so far the relation between bounded rationality and system dynamics has primarily been discussed from a ‘content’ perspective, that is, that boundedly rational decision making needs to be incorporated in the detail of system dynamics models because of the methodology's aspiration to represent real, not ideal decision making. In this paper this content view is extended by a new ‘process’ perspective. This perspective concerns effects observed at the level of whole models. For example, during modelling the developer of a system dynamics model is prone to be influenced by the limitations of rationality, which might lead to erroneous models. In the same way, users conducting simulation experiments with models are prone to carry out these simulations in an unsystematic way and might draw wrong conclusions from the simulation outcomes. The paper then outlines the connections between the established content view and the new process view on bounded rationality in system dynamics. These connections lie in the knowledge elicitation phase of modelling and in the changes of real systems on the basis of insights gained in modelling and simulation. The paper closes with a brief statement of the research that the author is conducting with a view to exploring further these ideas. Copyright © 2004 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

With the increasing penetration of power electronics, grid‐forming modular multilevel converters (MMCs) have attracted great attention in the upcoming MMC‐based high‐voltage direct current transmission (HVDC) projects. Power synchronization control (PSC) and direct power control (DPC) are two typical grid‐forming control schemes for MMCs. This paper sets out to investigate the impedance‐based stability characteristics of PSC‐MMC and DPC‐MMC. Utilizing the harmonic state space (HSS), equivalent impedance models of PSC‐MMC and DPC‐MMC are developed with the consideration of complete controllers and MMC internal dynamic characteristics. Impedance shaping effects of the major controllers are further analyzed to identify the frequency bands where the MMCs have negative resistive impedance characteristics. Finally, potential instability phenomena of the interconnected system are shown through the case studies, and the virtual impedance method is introduced as the stabilization control scheme. The electromagnetic transient simulation results based on PSCAD/EMTDC verify the accuracy of the impedance models and the effectivity of the stabilization control scheme. [ABSTRACT FROM AUTHOR]

This paper investigates the role of futures markets and their dynamic effects on the stability of commodity prices. The analysis is based on combining two econometric approaches: a quantile vector autoregression (QVAR) model of the marginal distributions of futures and spot prices, and a copula of their joint distribution. Applied to the US soybean and corn markets over the period of 1980–2019, the econometric investigation finds evidence of nonlinear price dynamics that depend on the maturity of the futures contract and documents how marginal price distributions and associated moments evolve over time. Based on the estimates of the QVAR model, we provide evidence of local instability in the upper tail of the price distributions. We find that the futures market helps stabilize the market under nearby futures contract maturity. We document the presence of nonlinear cointegration relationships between futures and spot price. Relying on a copula, we find a positive contemporaneous codependence between futures price and spot price across all quantiles, codependence that varies with the futures contract maturity. We also present evidence of a time‐varying basis that affects the convergence properties of the futures and spot price. Our findings shed new light on the joint determination of futures and spot price in commodity markets. [ABSTRACT FROM AUTHOR]

With the increase of train speed in electrified railways, the increasingly violent interaction of pantograph–catenary (PC) makes the PC detachment arc an extrusive phenomenon, especially in the double‐pantograph–catenary (DPC) system. Despite a large number of research studies have focussed on the PC arc in a single pantograph system, the studies of PC arc in the DPC system are relatively insufficient. In this paper, the arcing phenomenon in the DPC system is studied by combining it with DPC dynamics. First, through analysing the PC interaction in the double pantograph coupled model, the contact force and vertical displacement of PC are obtained, which are used to analyse the detachment state and fit the detachment trajectory. Then, a dynamic PC detachment arc model is established by extending the black‐box arc model and introducing the detachment trajectory. Next, a circuit model of CRH380BL electric multiple units (EMUs) with a DPC system is established to simulate the dynamic arc model. Finally, the characteristics of arc and their coupling transient influences are analysed under different initial design parameters of the DPC system and the correlation of arc characteristic and arc influence is discussed. The validity of the DPC arc model is verified by experiment results. [ABSTRACT FROM AUTHOR]

A 3–4D soil model represents a logical step forward from one‐dimensional soil columns (1D), two‐dimensional soil maps (2D), and three‐dimensional soil volumes (3D) toward dynamic soil models (4D), with time as the fourth dimension. The challenge is to develop modeling tools that account for the states of soil properties, including the spatial structure of solids and pores, as well as their dynamics, including soil mass and solute transfers in landscapes. Our envisioned 3–4D soil model approach aims at improving the capability to predict fundamental soil functions (e.g., plant growth, storage, matter fluxes) that provide ecosystem services in the socioeconomic context. This study provides a structured overview on current soil models, challenges, open questions, and urgent research needs for developing a 3–4D soil model. A 3–4D soil model should provide an inventory of spatially distributed and temporally variable soil properties. As basis for this, we propose a mass balance model for the solid phase, which needs to be supplemented by a model describing its structure. This should eventually provide adequate 3D parameter sets for the numerical modeling of soil functions (e.g., flow and transport). The target resolution is decameters in the horizontal plane and centimeters to decimeters in the vertical direction to represent characteristic soil properties and soil horizons. The actual state of soils and their properties can be estimated from spatial data that represent the soil forming factors, with the use of machine learning tools. Improved modeling of the dynamics of soil bulk density, biological processes, and the pore structure are required to relate the solid mass balance to matter fluxes. A 3–4D soil model can be built from several types of modeling approaches. We distinguish between (1) process models that simulate mass balances, fluxes and soil structure dynamics, (2) statistical pedometric models using machine learning and geostatistics to estimate the soil inventory within landscapes, and (3) pedotransfer functions to link observable attributes to specific model parameters required to simulate soil functions including water and matter fluxes. This should provide the prerequisites to predict the spatial distribution of soil functions and their changes in response to external forcing. This endeavor can draw upon many already established models and techniques, yet combining them into a newly created 3–4D soil model is a truly an ambitious, but promising task. The core of such a model is the bookkeeping of the solid mass together with soil structure, while accounting for biogeochemical and mechanical processes. The presented concepts are ambitious in context for research avenues toward the improvement of soil modeling by conjoining methods from a wide range of disciplines, including geological, geophysical, pedological, and remote sensing and visualization applications. The paper reviews and outlines research tools and needs for the 3‐D, spatially continuous representation of relevant soil properties and the modeling to represent the dynamics of soil properties and soil functions. [ABSTRACT FROM AUTHOR]

ABSTRACT This paper examines whether health shocks influence labour supply. Estimates rely on detailed health measures that not only are more homogeneous than commonly-used self-reported health measures, but they also can be interpreted as plausibly exogenous with respect to labour supply. Further, this paper investigates the unique role that certain fringe benefits, namely health insurance and paid sick leave, play in the link between health shocks and subsequent employment activity. Results show that, compared to commonly-used self-reported measures of health, health problems defined by the US government as 'priority' conditions correlate with smaller labour supply shifts, but non-work-related injuries lead to larger shifts. Second, the arrival of a health shock appears to reduce the probability of remaining employed full time, while also increasing the likelihood of quitting work. Relatively few full-time workers who acquire health problems switch to part-time employment. Third, in the event of a health shock, sick leave appears to facilitate reductions in employment activities, while employer-provided insurance appears to hinder such adjustments. [ABSTRACT FROM AUTHOR]

Oceanic quantities of interest (QoIs), for example, ocean heat content or transports, are often inaccessible to direct observation, due to the high cost of instrument deployment and logistical challenges. Therefore, oceanographers seek proxies for undersampled or unobserved QoIs. Conventionally, proxy potential is assessed via statistical correlations, which measure covariability without establishing causality. This paper introduces an alternative method: quantifying dynamical proxy potential. Using an adjoint model, this method unambiguously identifies the physical origins of covariability. A North Atlantic case study illustrates our method within the ECCO (Estimating the Circulation and Climate of the Ocean) state estimation framework. We find that wind forcing along the eastern and northern boundaries of the Atlantic drives a basin‐wide response in North Atlantic circulation and temperature. Due to these large‐scale teleconnections, a single subsurface temperature observation in the Irminger Sea informs heat transport across the remote Iceland‐Scotland ridge (ISR), with a dynamical proxy potential of 19%. Dynamical proxy potential allows two equivalent interpretations: Irminger Sea subsurface temperature (i) shares 19% of its adjustment physics with ISR heat transport and (ii) reduces the uncertainty in ISR heat transport by 19% (independent of the measured temperature value), if the Irminger Sea observation is added without noise to the ECCO state estimate. With its two interpretations, dynamical proxy potential is simultaneously rooted in (i) ocean dynamics and (ii) uncertainty quantification and optimal observing system design, the latter being an emerging branch in computational science. The new method may therefore foster dynamics‐based, quantitative ocean observing system design in the coming years. Plain Language Summary: To understand the Earth's changing climate, it is important to estimate how much heat the ocean takes up from the atmosphere and how the ocean recirculates the heat around the globe. Directly obtaining these estimates from measurements is complicated because oceanographers cannot measure the ocean everywhere. Ocean measurements taken from ships or freely drifting instruments are expensive and difficult to obtain, especially in regions with ice cover or rough weather conditions. To analyze how existing measurements can be used to estimate unmeasured aspects of the ocean, past studies have used statistical correlations, although it is usually unclear whether correlations have a real, physical origin. This paper introduces a new method: We replace statistical correlations by correlations that have an underlying physical mechanism. As an example, the paper reveals that (A) a subsurface ocean temperature measurement in the Irminger Sea helps to better estimate (B) poleward ocean heat transport across the Iceland‐Scotland ridge, hundreds of kilometers away. (A) and (B) are related by physics‐based correlation, which is created by a similar dynamical response of (A) and (B) to changes in the near‐ and far‐field wind. The new method can be used to plan effective instrument placements in the future. Key Points: Sensitivities of key metrics, representing observed and desirable quantities in the ocean, are computed using an adjoint modelSimilar sensitivity distributions indicate proxy potential through shared ocean adjustment physicsIn contrast to conventional statistical methods, our quantification of proxy potential is rigorously dynamics‐based [ABSTRACT FROM AUTHOR]

Applied economists have investigated individual adoption choices as well as diffusion (aggregate adoption). The emphasis, however, has been on adopters' behavior and risk associated with production and markets. Marketing also considers broader aspects and marketers develop tools to address risk related to the fit of a product, its performance, and its reliability. This paper expands the economic literature on adoption by analyzing and assessing the implications of the choice of marketing tools, like money‐back guarantees, demonstrations, and others, by marketers. The analysis is based on the threshold model of diffusion, which recognizes heterogeneity and dynamics. We provide evidence and examples from agriculture. [ABSTRACT FROM AUTHOR]

In this paper, we take advantage of the bilinearization reduction method to consider the local and nonlocal reduction of a discrete Ablowitz-Kaup-Newell-Segur equation. Exact solutions in double Casoratian form to the reduced nonlocal discrete modified Korteweg-de Vries equations are constructed. The dynamics of soliton solutions are analyzed and illustrated by asymptotic analysis. Moreover, both semi-continuous limit and full continuous limit are applied to obtain the local and nonlocal semi-discrete modified Korteweg-de Vries equations, as well as the local and nonlocal continuous modified Korteweg-de Vries equations. [ABSTRACT FROM AUTHOR]

Introduces topics and articles discussed in this issue of the journal "System Dynamics Review," including studies on dynamics of collaboration between customers and suppliers and links with performance.