Search

Thermochromic polymers with tunable thermochromism, high stretchability and mechanical strength are of interests for optical information storage and encryption. In this work, we demonstrate a new design of thermo-fluorochromic carboxylated nitrile butadiene rubber (XNBR) elastomer cross-linked by Eu3+-COOH dynamic coordination with deprotonated imidazole (DPIm) as the ancillary ligand. The presence of DPIm not only improves the mechanical strength and stretchability, but also dramatically intensifies the fluorescence emission and lifetime of the Eu-containing elastomer. The elastomer behaves reversible thermo-fluorochromism with easily tunable transition temperature and emission intensity by the simple change of the deprotonation degree of imidazole. The facile tunable thermo-fluorochromism, exceptional mechanical strength, and high stretchability (up to about 5000%) enable the Eu-containing XNBR elastomer with potential applications in soft electronics where optical information storage and encryption are required. [ABSTRACT FROM AUTHOR]

Comprehensive analysis of the Economy-Energy-Carbon Emission (EECE) system is beneficial for promoting sustainable social development. This study analyzes the system development of major watersheds in China from 2010 to 2019. The research fully considers the system's internal and external inputs and outputs and proposes an evaluation index system for regional EECE coupling and coordinated development. Then, using the difference in system weight allocation to improve the coupling and coordination model, the study explores the dynamic system's coupling and coordination. The results show that (1) The development of the system structure is relatively stable, but the overall development status is not ideal; (2) The downstream of China's main river basins has obvious economic advantages, while the energy system fluctuates greatly. The efficiency of the carbon emission system will decrease in areas with rapid economic development. The coupling and coordination level of the EECE system is better in the Yangtze River Basin than in the Yellow River Basin; (3) From the perspective of dynamic coordinated development, the main river basins have been divided into two states since 2012, but it is relatively stable overall. Regional dynamic coordination is often at a disadvantage in regions with rapid economic and energy development; (4) The coupling coordination degree of the two river basins has significant positive spatial autocorrelation. Most provinces' significant spatial clustering characteristics of the coupling coordination degree are High-High type. Low-Low type provinces are mainly concentrated downstream. The research process has certain reference significance for the collaborative governance of complex regional systems. [ABSTRACT FROM AUTHOR]

Bipolar organic cathode materials (OCMs) implementing cation/anion storage mechanisms are promising for high‐energy aqueous Zn batteries (AZBs). However, conventional organic functional group active sites in OCMs usually fail to sufficiently unlock the high‐voltage/capacity merits. Herein, we initially report dynamically ion‐coordinated bipolar OCMs as cathodes with chalcogen active sites to solve this issue. Unlike conventional organic functional groups, chalcogens bonded with conjugated group undergo multielectron‐involved positive‐valence oxidation and negative‐valence reduction, affording higher redox potentials and reversible capacities. With phenyl diselenide (PhSe‐SePh, PDSe) as a proof of concept, it exhibits a conversion pathway from (PhSe)− to (PhSe‐SePh)0 and then to (PhSe)+ as unveiled by characterization and theoretical simulation, where the diselenide bonds are periodically broken and healed, dynamically coordinating with ions (Zn2+ and OTF−). When confined into ordered mesoporous carbon (CMK‐3), the dissolution of PDSe intermediates is greatly inhibited to obtain an ultralong lifespan without voltage/capacity compromise. The PDSe/CMK‐3 || Zn batteries display high reversibility capacity (621.4 mAh gPDSe−1), distinct discharge plateau (up to 1.4 V), high energy density (578.3 Wh kgPDSe−1), and ultralong lifespan (12 000 cycles) at 10 A g−1, far outperforming conventional bipolar OCMs. This work sheds new light on conversion‐type active site engineering for high‐voltage/capacity bipolar OCMs towards high‐energy AZBs. [ABSTRACT FROM AUTHOR]

I study a two-player continuous-time dynamic coordination game with observational learning. Each player has one opportunity to make a reversible investment with an uncertain return that is realized only when both players invest. Each player learns about the potential return by observing a private signal and the actions of the other player. In equilibrium, players' roles as leader and follower are endogenously determined. Information aggregates in a single burst initially, then gradually through delayed investment and disinvestment over time. More precise signals lead to faster coordination conditional on initial disagreement, but might also increase the probability of initial disagreement. [ABSTRACT FROM AUTHOR]

Assembly job shops form an important part of make-to-order companies. These high-variety production environments are generally characterized by high shop loads and tight delivery dates. Coordinating the completion times of parts to guarantee a timely start of the assembly operations is complex. Most prior studies on coordination in assembly job shops mainly focus on priority dispatching rules, thereby neglecting the coordinating potential of order release decisions. While release and dispatching methods have been extensively studied in the literature, they lack the refined dynamic mechanisms that are needed to effectively coordinate assembly parts. This study refines order pool sequencing rules for order release by utilizing progress, urgency and load-related status information for coordination purposes. A new selection mechanism focusing on the timely release of critical parts is embedded in the release decision. Furthermore, a newly developed dynamic dispatching rule carefully coordinates parts to be assembled, once they are released to the shop floor. Simulation results show that the newly developed methods for dynamic coordination significantly outperform their static versions. [ABSTRACT FROM AUTHOR]

Many real-world decisions in social contexts are made while observing a partner’s actions. To study dynamic interactions during such decisions, we developed a setup where two agents seated face-to-face to engage in game-theoretical tasks on a shared transparent touchscreen display (‘transparent games’). We compared human and macaque pairs in a transparent version of the coordination game ‘Bach-or-Stravinsky’, which entails a conflict about which of two individually-preferred opposing options to choose to achieve coordination. Most human pairs developed coordinated behavior and adopted dynamic turn-taking to equalize the payoffs. All macaque pairs converged on simpler, static coordination. Remarkably, two animals learned to coordinate dynamically after training with a human confederate. This pair selected the faster agent’s preferred option, exhibiting turn-taking behavior that was captured by modeling the visibility of the partner’s action before one’s own movement. Such competitive turn-taking was unlike the prosocial turn-taking in humans, who equally often initiated switches to and from their preferred option. Thus, the dynamic coordination is not restricted to humans but can occur on the background of different social attitudes and cognitive capacities in rhesus monkeys. Overall, our results illustrate how action visibility promotes the emergence and maintenance of coordination when agents can observe and time their mutual actions.

The difference in response to electric and hydraulic braking causes sudden changes in braking torque during braking mode switching. An electro-hydraulic composite braking system's dynamic torque coordination control strategy is proposed under braking mode switching conditions. By establishing the dynamic response model of the electro-hydraulic braking system (EHB), the key factors affecting the response speed of the EHB are analyzed, and the dynamic fuzzy controller for the pressure regulation of the brake wheel cylinder is designed. At the same time, the nonlinearity and hysteresis in the hydraulic braking process are considered, as well as electrical brake response overshoots. The electric brake response model is established, and the PID controller with feedforward feedback is designed to control the motor to adjust the inertia overpressure or lag pressure deficiency in the hydraulic braking process. Finally, the simulation verification is carried out; the results show that the proposed strategy can increase the hydraulic brake response speed by 25.4%, the impact degree of the vehicle is not more than 6.25 GB, and the hydraulic steady state error does not exceed 2.3%, which improves the vehicle ride comfort under braking mode switching. [ABSTRACT FROM AUTHOR]

Abstract: This study tests two sets of competing hypotheses about the relationship between trait reactivity to positive and negative stimuli (i.e., motivational reactivity), moral stances on social principles (i.e., social morality), and political ideology. The classic view contends that a specific political ideology or social morality results from a specific motivational reactivity pattern, whereas the dynamic coordination account suggests that trait motivational reactivity modulates an individual's political ideology and social morality as a result of the majority political beliefs in their immediate social context. A survey using subjects recruited from a liberal-leaning social context was conducted to test these hypotheses. Results support the dynamic coordination account. Reactivity to negativity (indexed by defensive system activation scores) is associated with the adoption of the dominant social morality and political ideology. Reactivity to positivity (indexed by appetitive system activation scores) is associated with the adoption of nondominant social moral and political stances. [ABSTRACT FROM AUTHOR]

The difference in response to electric and hydraulic braking causes sudden changes in braking torque during braking mode switching. An electro-hydraulic composite braking system’s dynamic torque coordination control strategy is proposed under braking mode switching conditions. By establishing the dynamic response model of the electro-hydraulic braking system (EHB), the key factors affecting the response speed of the EHB are analyzed, and the dynamic fuzzy controller for the pressure regulation of the brake wheel cylinder is designed. At the same time, the nonlinearity and hysteresis in the hydraulic braking process are considered, as well as electrical brake response overshoots. The electric brake response model is established, and the PID controller with feedforward feedback is designed to control the motor to adjust the inertia overpressure or lag pressure deficiency in the hydraulic braking process. Finally, the simulation verification is carried out; the results show that the proposed strategy can increase the hydraulic brake response speed by 25.4%, the impact degree of the vehicle is not more than 6.25 GB, and the hydraulic steady state error does not exceed 2.3%, which improves the vehicle ride comfort under braking mode switching.

At the heart of the tension between state autonomy and international law is the question of whether states should willingly restrict their freedom of action for the sake of international security, human rights, trade, communication, and the environment. David Hume offers surprising insights to answer this question. He argues that the same interests in cooperation arise among individuals as well as states and that their interactions should be regulated by the same principles. Drawing on his model of dynamic coordination, I will reconstruct the Humean case for developing international law into a more robust legal system and also highlight the limitation of Hume's account of justice for such a reconstructive project. Hume's lessons are enduring; we must strengthen the essential features of international law that allow states and individuals to reap the benefits of its protections, such as nonoptional rules that articulate a moral minimum, courts with compulsory jurisdiction, and stronger mechanisms of enforcement. [ABSTRACT FROM AUTHOR]

Training toward skills development and toward its components can take place in any part of the weekly cycle. Also, exercises and other means used for this purpose are found in all three parts of the training lesson, both in the first part, in the form of light exercises (especially the specific dynamic coordination), that lead, at the same time, to the training of the body for the effort, but also in the fundamental part (the theme of the lesson or exercises carried out between some main tasks) and closing (exercises performed in slow rhythm, for disconnect, relax). Skill, in all forms of manifestation, can develop along the whole year of preparation, of course with different weights, depending on the workout periods.

In the new media era, public opinion guidance for major emergencies is significant for enhancing social governance capabilities and ensuring social stability. Constructing a public opinion map based on sentiment-topic dynamic collaborative analysis can serve as a valuable reference for government-led public opinion guidance. This paper firstly develops a sentiment dictionary for major disaster events to aid in recognizing netizen emotions and uses a relevance formula-based Latent Dirichlet Allocation (LDA) model to conduct topic text mining. Then, through the division of public opinion cycles and different methods-based topic classification, sentiment-topic dynamic collaborative analysis is performed to create a visual public opinion map. By examining the case of the China Eastern Airlines MU5735 crash, the results indicate a close relationship between netizens' sentiments and the topic content, primarily influenced by mainstream media news reports during different stages of public opinion. Furthermore, it is find that certain key node events can trigger emotional resonance among the masses during different stages of the public opinion cycle, resulting in completely different sentiments such as "sorrow", "good" and "anger" for different topics. The visual public opinion map generated in this study offers valuable insights for the public opinion guidance and supervision of related disaster events. Simultaneously, it can also help identify and understand potential public opinion risks of disaster events, such as the spread of rumors and the amplification of panic. This provides both researchers and government administrators with a comprehensive and intuitive tool to better understand public opinion and effectively mitigate the public opinion risks associated with disaster events, thus safeguarding public safety and interests. [ABSTRACT FROM AUTHOR]

Nanocomposite hydrogels consist of a polymer matrix embedded with nanoparticles (NPs), which provide the hydrogels with unique bioactivities and mechanical properties. Incorporation of NPs via in situ precipitation in the polymer matrix further enhances these desirable hydrogel properties. However, the noncytocompatible pH, osmolality, and lengthy duration typically required for such in situ precipitation strategies preclude cell encapsulation in the resultant hydrogels. Bisphosphonate (BP) exhibits a variety of specific bioactivities and excellent binding affinity to multivalent cations such as magnesium ions (Mg2+). Here, the preparation of nanocomposite hydrogels via self-assembly driven by bisphosphonate-Mg2+ coordination is described. Upon mixing solutions of polymer bearing BPs, BP monomer (Ac-BP), and Mg2+, this effective and dynamic coordination leads to the rapid self-assembly of Ac-BP-Mg NPs which function as multivalent crosslinkers stabilize the resultant hydrogel structure at physiological pH. The obtained nanocomposite hydrogels are self-healing and exhibit improved mechanical properties compared to hydrogels prepared by blending prefabricated NPs. Importantly, the hydrogels in this study allow the encapsulation of cells and subsequent injection without compromising the viability of seeded cells. Furthermore, the acrylate groups on the surface of Ac-BP-Mg NPs enable facile temporal control over the stiffness and crosslinking density of hydrogels via UV-induced secondary crosslinking, and it is found that the delayed introduction of this secondary crosslinking enhances cell spreading and osteogenesis. [ABSTRACT FROM AUTHOR]

Abstract: The synthesis of three new NiCl(allyl/cinnamyl)(NHC) complexes, containing a bifunctional NHC (N‐heterocyclic carbene) ligand is described. Two different NHCs were utilized that contain a secondary amine (HNR; R=t‐Bu or Mes) moiety on one of the N‐imidazolylidene arms. Complexes with allyl (2 a) and cinnamyl (3 a and 3 b) were each crystallographically characterized and η3‐allyl and κ1‐C NHC ligand coordination modes were found in the solid‐state. In the solution‐state, each of the ligands shows highly fluxional behaviour. Halide substitution of the chloro ligand for iodo effectively slows the ligand dynamics and permits solution‐state characterization that is in agreement with the solid‐state structures. The complexes react with oxygen to ultimately oxidize the allyl or cinnamyl ligands to acrolein (AC) or cinnamaldehyde (CA) and phenyl vinyl ketone (PVK), respectively. The bifunctional nature of the NHC has limited influence on oxidation reactivity, but preliminary evidence suggests it plays a role in the stability of the nickel oxidation products. [ABSTRACT FROM AUTHOR]

With the enhancement of the inter-regional, inter-sectoral, inter-functional coordination, dynamic collaboration becomes the focus of the emergency organization research. This paper from the viewpoint of system theory, using the fractal theory, introduce the fractal method in the theoretical study of the unconventional emergency organization system, and generated the emergency organization fractal unit, which has the relationship of demand-supply (DS) and delegation-to do (DT) between emergency units. Each emergency unit play a dual role, which can be used as the emergency ability unit in parent fractal unit, also can be used as a emergency command unit in sub fractal unit. In the construction of the organization model, we apply the theory of computational mathematics organization theory, and take the emergency task, emergency ability units and emergency command unit as the key elements to construct the optimization model of fractal emergency organization. Finally, we use the 8.12 production safety accident in Tianjin port as an example, illustrates the the flexibility and efficiency of fractal emergency organization to deal with environmental change. [ABSTRACT FROM AUTHOR]

The applicable scope and constraints of several dynamic coordination architectures between IP network man-agement systems in the heterogeneity environment were analyzed. A SOA-based architecture for dynamic coordination between IP network management systems was proposed, which combines the peer distribution and integrated manage-ment, realizing the end-to-end dynamic coordination. The architecture conceals the heterogeneity between IP network management systems effectively and has good capability of loose-coupled and dynamic coordination.

The detection of mild cognitive impairment (MCI), the transitional stage between normal cognitive changes of aging and the cognitive decline caused by AD, is of paramount clinical importance, since MCI patients are at increased risk of progressing into AD. Electroencephalographic (EEG) alterations in the spectral content of brainwaves and connectivity at resting state have been associated with early-stage AD. Recently, cognitive event-related potentials (ERPs) have entered into the picture as an easy to perform screening test. Motivated by the recent findings about the role of cross-frequency coupling (CFC) in cognition, we introduce a relevant methodological approach for detecting MCI based on cognitive responses from a standard auditory oddball paradigm. By using the single trial signals recorded at Pz sensor and comparing the responses to target and non-target stimuli, we first demonstrate that increased CFC is associated with the cognitive task. Then, considering the dynamic character of CFC, we identify instances during which the coupling between particular pairs of brainwave frequencies carries sufficient information for discriminating between normal subjects and patients with MCI. In this way, we form a multiparametric signature of impaired cognition. The new composite biomarker was tested using data from a cohort that consists of 25 amnestic MCI patients and 15 age-matched controls. Standard machine-learning algorithms were employed so as to implement the binary classification task. Based on leave-one-out cross-validation, the measured classification rate was found reaching very high levels (95%). Our approach compares favorably with the traditional alternative of using the morphology of averaged ERP response to make the diagnosis and the usage of features from spectro-temporal analysis of single-trial response. This further indicates that task-related CFC measurements can provide invaluable analytics in AD diagnosis and prognosis.

Although being transition metals, the Fenton-inactive group 3-4 elements (Sc, Y, La, Ti, Zr, and Hf) can easily lose all the outermost s and d electrons, leaving behind ionic sites with nearly empty outermost orbitals that are stable but inactive for oxygen involved catalysis. Here, it is demonstrated that the dynamic coordination network can turn these commonly inactive ionic sites into platinum-like catalytic centers for the oxygen reduction reaction (ORR). Using density functional theory calculations, a macrocyclic ligand coordinated yttrium single-atom (YN 4 ) moiety is identified, which is originally ORR inactive because of the too strong binding of hydroxyl intermediate, while it can be activated by an axial ligand X through the covalency competition between YX and YOH bonds. Strikingly, it is also found that the binding force of the axially coordinated ligand is an effective descriptor, and the chlorine ligand is screened out with an optimal binding force that behaves self-adaptively to facilitate each ORR intermediate steps by dynamically changing its YCl covalency. These experiments validate that the as-designed YN 4 -Cl moieties embedded within the carbon framework exhibit a high half-wave potential (E 1/2 = 0.85 V) in alkaline media, the same as that of the commercial Pt/C catalyst ., (© 2023 Wiley-VCH GmbH.)

The detection of mild cognitive impairment (MCI), the transitional stage between normal cognitive changes of aging and the cognitive decline caused by AD, is of paramount clinical importance, since MCI patients are at increased risk of progressing into AD. Electroencephalographic (EEG) alterations in the spectral content of brainwaves and connectivity at resting state have been associated with early-stage AD. Recently, cognitive event-related potentials (ERPs) have entered into the picture as an easy to perform screening test. Motivated by the recent findings about the role of cross-frequency coupling (CFC) in cognition, we introduce a relevant methodological approach for detecting MCI based on cognitive responses from a standard auditory oddball paradigm. By using the single trial signals recorded at Pz sensor and comparing the responses to target and non-target stimuli, we first demonstrate that increased CFC is associated with the cognitive task. Then, considering the dynamic character of CFC, we identify instances during which the coupling between particular pairs of brainwave frequencies carries sufficient information for discriminating between normal subjects and patients with MCI. In this way, we form a multiparametric signature of impaired cognition. The new composite biomarker was tested using data from a cohort that consists of 25 amnestic MCI patients and 15 age-matched controls. Standard machine-learning algorithms were employed so as to implement the binary classification task. Based on leave-one-out cross-validation, the measured classification rate was found reaching very high levels (95%). Our approach compares favorably with the traditional alternative of using the morphology of averaged ERP response to make the diagnosis and the usage of features from spectro-temporal analysis of single-trial responses. This further indicates that task-related CFC measurements can provide invaluable analytics in AD diagnosis and prognosis. [ABSTRACT FROM AUTHOR]

Parameter-matching methods and optimal control strategies of the top-selling hybrid electric vehicle (HEV), namely, power-split HEV, are widely studied. In particular, extant research on control strategy focuses on the steady-state energy management strategy to obtain better fuel economy. However, given that multi-power sources are highly coupled in power-split HEVs and influence one another during mode shifting, conducting research on dynamic coordination control strategy (DCCS) to achieve riding comfort is also important. This paper proposes a predictive-model-based DCCS. First, the dynamic model of the objective power-split HEV is built and the mode shifting process is analyzed based on the developed model to determine the reason for the system shock generated. Engine torque estimation algorithm is then designed according to the principle of the nonlinear observer, and the prediction model of the degree of shock is established based on the theory of model predictive control. Finally, the DCCS with adaptation for a complex driving cycle is realized by combining the feedback control and the predictive model. The presented DCCS is validated on the co-simulation platform of AMESim and Simulink. Results show that the shock during mode shifting is well controlled, thereby improving riding comfort. [ABSTRACT FROM AUTHOR]

Actuated traffic signal control logic has many advantages because of its responsiveness to traffic demands, short cycles, effective use of capacity leading to and recovering from oversaturation, and amenability to aggressive transit priority. Its main drawback has been its inability to provide good progression along arterials. However, the traditional way of providing progression along arterials, coordinated–actuated control with a common, fixed cycle length, has many drawbacks stemming from its long cycle lengths, inflexibility in recovering from priority interruptions, and ineffective use of capacity during periods of oversaturation. This research explores a new paradigm for traffic signal control, “self-organizing signals,” based on local actuated control but with some additional rules that create coordination mechanisms. The primary new rules proposed are for secondary extensions, in which the green may be held to serve an imminently arriving platoon, and dynamic coordination, in which small groups of closely spaced signals communicate with one another to cycle synchronously with the group’s critical intersection. Simulation tests in VISSIM performed on arterial corridors in Massachusetts and Arizona show overall delay reductions of up to 14% compared to an optimized coordinated–actuated scheme where there is no transit priority, and more than 30% in scenarios with temporary oversaturation. Tests also show that with self-organizing control, transit signal priority can be more effective than with coordinated–actuated control, reducing transit delay by about 60%, or 12 to 14 s per intersection with little impact on traffic delay. [ABSTRACT FROM AUTHOR]

Inspired by the similarity between ant foraging behavior model and task allocation production process selection in manufacturing system, a pheromone-based coordination mechanism for task allocation is proposed. The pheromone-based static and dynamic coordination algorithms for production process selection in manufacturing system are given. The simulation results demonstrate that relatively lower processing costs as well as the balanced utilization of machines can be achieved by using the proposed algorithm, which has high adaptability to the disturbance from inside or outside of the manufacturing system. It provides a new feasible idea for dealing with an actual allocation problem of production tasks. [ABSTRACT FROM AUTHOR]

Training toward skills development and toward its components can take place in any part of the weekly cycle. Also, exercises and other means used for this purpose are found in all three parts of the training lesson, both in the first part, in the form of light exercises (especially the specific dynamic coordination), that lead, at the same time, to the training of the body for the effort, but also in the fundamental part (the theme of the lesson or exercises carried out between some main tasks) and closing (exercises performed in slow rhythm, for disconnect, relax). Skill, in all forms of manifestation, can develop along the whole year of preparation, of course with different weights, depending on the workout periods. Specific skill develops in particular by working specifically with the ball and by other means of movement on the ground, without the ball. The most effective mean is the game, in all its forms of organization: games and races with theme, games on low land, games in the numerical inferiority or superiority, training games with different rules and conditions or normal game of football. Closely related to the variety in training is another principle which should stand at the base of the skill development, namely the versatility on motric; this is because skill is, by definition, a large motrical experience, accomplishments and advanced skills. Versality in training ensures, at the same time, the variety and the transfer of skills, leading in this way to the raising of skills development's level. In the methodology of development skills there are used both methods of analytical work, but also global ones. Furthermore, nowadays it is used global training, and so, skill development is made according to the other motrical qualities. Personally, I think that is a good thing, because skill manifests in the game in correlation with speed, strength or resistance. It can be said that the development of skills can be achieved in training along with solving other tasks. At the same time, however, it should emphasize more the analytical development of this capacity in special training or at least in the individualized training. [ABSTRACT FROM AUTHOR]

To enhance the safety and fuel economy of hybrid electric vehicle ( HEV) in down-hill driving, a down-hill active safety control method is proposed based on the characteristics of motor braking that braking torque can be accurately adjusted and braking energy is recoverable. Combined with the recognition on driver's intention of down-hill driving, a framework of hierarchic control system is established. In the control system, the braking torque is calculated according to target speed, a strategy for braking torque distribution between brake subsystems and dynamic coordination is worked out, and a verification simulation is conducted. The results show that the control method proposed can enhance the driving safety and fuel economy of HEV, relieve driver's operation burden and improve the ride comfort of occupants in down-hilling. [ABSTRACT FROM AUTHOR]

Coordination has been recognized by many researchers as the most important feature of multi-agent systems. Coordination is defined as managing interdependencies amongst activities (Malone and Crowston in ACM Comput. Surv. 26(1):87-119, ). The traditional approach of implementing a coordination mechanism is to hard-wire it into a coordination system at design time. However, in dynamic and open environments, many attributes of the system cannot be accurately identified at the design time. Therefore, dynamic coordination, capable of coordinating activities at run-time, has emerged. On the other hand, a successful dynamic coordination model for multi-agent systems requires knowledge sharing as well as common vocabulary. Therefore, an ontological approach is an appropriate way in proposing dynamic coordination models for multi-agent systems. In this paper, an Ontology-Driven Dynamic Coordination Model (O-DC) for Multiagent-Based Mobile Workforce Brokering Systems (MWBS) (Mousavi et al. in Int. J. Comput. Sci. 6:(5):557-565, ; Mousavi et al. in Proceedings of 4th IEEE international symposium on information technology, ITSim'10, Kuala Lumpur, Malaysia, 15-17 June 2010, vol. 3, pp. 1416-1421, ; Mousavi and Nordin in Proceedings of the IEEE international conference on electrical engineering and informatics, Bandung, Indonesia, 17-19 June 2007, pp. 294-297, ) is proposed and formulated. Subsequently, the applicability of O-DC is examined via simulation based on a real-world scenario. [ABSTRACT FROM AUTHOR]

Signal processing in the cerebral cortex is thought to involve a common multi-purpose algorithm embodied in a canonical cortical micro-circuit that is replicated many times over both within and across cortical regions. Operation of this algorithm produces widely distributed but coherent and relevant patterns of activity. The theory of Coherent Infomax provides a formal specification of the objectives of such an algorithm. It also formally derives specifications for both the short-term processing dynamics and for the learning rules whereby the connection strengths between units in the network can be adapted to the environment in which the system finds itself. A central assumption of the theory is that the local processors can combine reliable signal coding with flexible use of those codes because they have two classes of synaptic connection: driving connections which specify the information content of the neural signals, and contextual connections which modulate that signal processing. Here, we make the biological relevance of this theory more explicit by putting more emphasis upon the contextual guidance of ongoing processing, by showing that Coherent Infomax is consistent with a particular Bayesian interpretation for the contextual guidance of learning and processing, by explicitly specifying rules for on-line learning, and by suggesting approximations by which the learning rules can be made computationally feasible within systems composed of very many local processors. [ABSTRACT FROM AUTHOR]

Inter-Organizational Workflow (IOW) aims at supporting the collaboration between several autonomous and heterogeneous business processes, distributed over different enterprises or organizations. Coordination of these processes is a fundamental issue that has been mainly addressed in a static context, but it still remains open in a dynamic one such as the Internet in which IOW applications are more and more enacted nowadays. In such a context, Multi-Agent Systems (MAS) are known to be a natural solution for modeling IOW since they provide adequate abstractions and specific mediators to cope with IOW coordination. Consequently, this paper provides an agent-based model for coordinating business processes involved in a dynamic IOW. This model is a triplet (E, M, R). E is the set of coordinated entities. It corresponds to the different business processes that may be published, discovered or deployed by IOW partners. M is the media supporting coordination. It is a multi-agent architecture compliant with the Workflow Management Coalition architecture and integrating specific components devoted to coordination issues. Finally, R is the set of rules governing the coordination. In our context, R is described through an organizational model aiming at structuring the interaction among the coordinated entities and the different components of the architecture. [ABSTRACT FROM AUTHOR]

This paper describes the hierarchical architecture for a rhythmic coordination between robots, which suits juggling-like tasks involving sensory-motor coordination. The authors' approach, which is interpreted as a ‘bidirectional weak coupling’ to the environment, does not require either the environmental model or continuously monitoring the environment but can adapt the robots to a change in the environment, owing to the interaction between the robots and the environment at the ball contact. The proposed architecture contains two passive-control mechanisms, the ‘open-loop stable mechanism’ and the ‘entrainment mechanism,’ that lead to the emergence of self-organized temporal structure for rhythmic movement. This dynamic pattern in the whole system realizes the stable coordinated motion between robots. The authors demonstrate two motion patterns between two robots passing two balls, and confirm the effectiveness of the approach. [ABSTRACT FROM AUTHOR]

Vocabulary issues are central to XML-based e-commerce standards. The rapid in-crease in the number of XML standards has made the vocabulary issues a critical area of XML applications. This paper reports the result from a study of the vocabulary use in XML standards. Choosing five DTDs from the financial and capital markets domain, we examined a total of 1346 elements in nine categories. Inconsistent naming conventions and varying practices were major problems among other findings. We also observed a number of linguistic and semantic patterns in element names. Such patterns show a potential to serve as a foundation for building ontology-based conceptual models for XML schemas. The authors propose an ontology-driven, dynamic coordination approach in developing schema elements. [ABSTRACT FROM AUTHOR]

• A dynamic coordination control algorithm based on NMPC for HHMAS is proposed. • A multi - mode pump displacement control algorithm is designed. • The nonlinear controller of pump displacement actuator is designed based on Lyapunov stability principle. • The controller performance is evaluated and compared with traditional PID and feedforward controllers. • The results show the superiorities of the proposed dynamic coordination controller. To solve the control problems caused by the driving force coordination and the essential nonlinearity of the hydraulic system in the working process of the Hydraulic Hub-Motor Auxiliary System (HHMAS), the study presents a dynamic coordination control algorithm based on Nonlinear-integrated Model Predictive Control (NMPC). Firstly, to achieve the target displacement control of the pump, the study designs a multi-mode pump displacement optimization algorithm; Secondly, a driving force coordination control strategy based on MPC is designed; Then, the nonlinear controller of the pump displacement actuator is designed based on the Lyapunov stability principle to realize the tracking control of the desired displacement. Finally, the simulation and HIL results show that the control error of NMPC controller is minimal, and the error control performance is improved by 93.78% and 74.3% respectively compared with steady-state feedforward and PID control, which greatly improves the dynamic control performance of the HHMAS. [ABSTRACT FROM AUTHOR]

Aiming at the problem of high inventory control costs of shipbuilding enterprises under uncertain conditions, this paper constructs and optimizes a dynamic collaborative replenishment model of shipbuilding enterprises inventory control. This model adopts integrated supply chain management theory and collaborative theory to analyze the inventory control principle in shipbuilding enterprises, and its goal is to minimize the cost and maximize the service level. The dynamic replenishment strategy from two types of suppliers is given by using mathematical knowledge, such as optimization theory, probability theory, and mathematical statistics to solve the model. Finally, shipbuilding enterprises take paint inventory control as an example to test and verify the validity and correctness of the model by using numerical simulation and sensitivity analysis. The results show that the dynamic collaborative replenishment model of shipbuilding enterprises inventory control can make full use of the advantages of two types of suppliers. Additionally, it cannot only quickly respond to demand changes, but can also maintain low operating costs. Therefore, the dynamic collaborative replenishment model could effectively solve the problem of high inventory control costs of shipbuilding enterprises under uncertain conditions and has great application value and practical significance. [ABSTRACT FROM AUTHOR]