Coordination Scheme Research Articles

Enhanced carboxylation of furoic salt with CO2 by ZnCl2 coordination for efficient production of 2,5-furandicarboxylic acid.

C-H carboxylation of furoic acid (FA) with CO2 is an atom-efficient strategy to produce 2,5-furandicarboxylic acid (2,5-FDCA) from lignocellulose. The existing carbonate-promoted CO2 carboxylation processes rely on the use of large amounts of expensive Cs2CO3 as a deprotonating reagent and molten salt. Substitution of Cs with other cheap and abundant alkali ions (such as K and Na) can reduce the use of Cs, but it faces the problem of a low yield of 2,5-FDCA. This study found that the addition of catalytic amounts of ZnCl2 as a Lewis acid can increase the yield of 2,5-FDCA in the CO2 carboxylation reaction of Na/K-FA in a molten salt reaction system. 1H NMR analysis and DFT calculations confirmed that ZnCl2 coordinates with the furan ring through electron transfer from the conjugated furan ring to Zn2+, thereby activating the H at the C5 position of Na/K-FA. This coordination lengthened the C5-H bond and lowered its heterolytic dissociation energy, making it more susceptible to being deprotonated by CO32- and subsequently carboxylated by CO2. The developed Lewis acid coordination strategy provides a new idea for the efficient construction of C-C bonds between CO2 and aromatics through carbonate-promoted C-H carboxylation.

Pricing and Coordination Strategy of Product Service Supply Chain Under Digital Transformation

Pricing and Coordination Strategy of Product Service Supply Chain Under Digital Transformation

Coordination and optimization decision of assembly building supply chain under supply disruption risk

Assembly buildings, in the context of the low-carbon transformation of the construction industry, achieve superior outcomes in terms of carbon emission reduction, enhancement of building uniformity, and optimization of resource utilization as compared to traditional buildings. However, the supply chain for assembly building is marked by a significant susceptibility to risk and a need for timely fulfillment of requirements. This paper examines the risk of disruption and capacity limitations in the assembly building supply chain resulting from supply disruptions. It establishes a three-tier supply chain for assembly buildings, including primary component suppliers, backup suppliers, assembly manufacturers, and retailers. The study compares the optimal decision-making and coordination strategies of the supply chain members under centralized, decentralized, and joint agreements. The supply chain dual-source procurement decision coordination model is constructed by incorporating capacity constraints and analyzing the effects of supply disruption probability, repurchase coefficient, revenue sharing coefficient, cost, and other parameters on the expected profits of the supply chain members using arithmetic simulation. Research has indicated that when the likelihood of a disturbance occurring rises, the anticipated financial gain for the main provider decreases, while the predicted financial gain for the secondary supplier increases. The implementation of a collaborative agreement between the assembly maker and the parts backup provider would result in much greater anticipated profits compared to the decentralized decision-making approach. The impact of the revenue sharing coefficient on the predicted earnings of retailers and assembly manufacturers is more significant compared to the repurchase coefficient. The selection bias between NA and NB techniques under capacity constraints mostly arises from the assertiveness of the wholesale asking prices of inexpensive component suppliers, leading assembly manufacturers to increasingly prefer the NA option. This paper's research successfully achieves the contractual coordination of the assembly building supply chain, enhances the resilience of the assembly building supply chain, and promotes the long-term sustainable development of the assembly building supply chain.

Development and evaluation of an online home energy management strategy for load coordination in smart homes with renewable energy sources

In this paper, a real time implementable load coordination strategy is developed for the optimization of electric demands in a smart home. The strategy minimizes the electricity cost to the home owner, while limiting the disruptions associated with the deferring of flexible power loads. A multi-objective nonlinear mixed integer programming is formulated as a sequential model predictive control, which is then solved using genetic algorithm. The load shifting benefits obtained by deploying an advanced coordination strategy are compared against a baseline controller for various home characteristics, such as location, size and equipment. The simulation study shows that the deployment of the smart home energy management strategy achieves approximately 5% reduction in grid cost compared to a baseline strategy. This is achieved by deferring approximately 50% of the flexible loads, which is possible due to the use of the stationary energy storage.

DC protection coordination for multi‐terminal HB‐MMC‐based HVDC grids

AbstractFast progress of High Voltage Direct Current (HVDC) technology has been considerable over the past decades. Emerging Modular Multilevel Converter (MMC) provides power systems with promising solutions to integrate large‐scale renewable energy sources, as well as multiple asynchronous power grids. Consequently, implementation of a multi‐terminal HVDC transmission system has been easier using MMC converters. However, protection of multi‐terminal MMC‐based HVDC grids under DC fault conditions is a challenge for the industry. This study sheds light on concept of system‐level DC protection coordination for multi‐terminal HVDC grids. Although, there are different protection methods for HVDC transmission systems including multi‐terminal ones, there are no well‐defined protection coordination strategies for transmission links protection and belonging HVDC converters under DC fault conditions. The proposed protection coordination prevents unnecessary tripping of MMCs in the multi‐area HVDC grids and supports the system with minimum effect on healthy parts. For the first time, different HVDC Converter Tripping (HCT) profiles are presented based on a fully selective protection strategy and their characteristics are discussed comprehensively. Simulation results demonstrate the effectiveness of the proposed strategy for multi‐terminal MMC‐based HVDC grids. The proposed coordination can be applied to DC grid code requirements of meshed HVDC grids in the future.

A versatile nano-transformer for efficient localization-specific imaging and synergistic therapy of bladder cancer

A stepwise morphologic transformation is highly desirable but rarely reported for promoting drug penetration at tumor sites via reducing transport barriers. Herein, an adhesive multifunctional nano-transformer (CTMF NPs) with cascading structural transformation was constructed, which afforded tumor microenvironment (TME)-activatable zero-background 19F-magnetic resonance imaging and ratiometric photoacoustic imaging-guided synergistic tumor therapy. CTMF NPs were synthesized via a one-pot encapsulation and dynamic coordination strategy, where copper sulfide nanoparticles (CuS NPs, photothermal agent) were co-encapsulated with perfluoro-15-crown-5-ether (PFCE, 19F MRI agent) by the dopamine grafted amphiphilic polymer, followed by coating with metal (Mn2+)-polyphenol shell (19F signal quencher and therapeutic agent). Benefiting from polyphenol enhanced cell adherence as well as in situ generated reactive quinone, the CTMF NPs attached to tumor sites and exhibited efficient internalization under TME promoted decomposition and oxidation. Moreover, these nano-platforms were further decomposed under laser irradiation, which amplified cellular oxidative stress, leading to mitochondrial structural damage and dysfunction, as well as facilitating cuproptosis by interfering with the lipoylated tricarboxylic acid cycle. Cell apoptosis subsequently resulted in significant immunogenic cell death and afforded a versatile nano-transformer for precise imaging-guided bladder cancer therapy.

Identifying and Addressing Barriers to Screening Mammography in a Medically Underserved Community

Rationale and ObjectivesBreast cancer mortality is 40% higher for Black women compared to White women. This study seeks to assess knowledge of breast cancer screening recommendations and identify barriers to risk assessment and mammographic screening among a medically underserved, low-income, predominantly Black community in West Philadelphia. Materials and MethodsDuring a free mobile mammography screening event, women were offered surveys to assess perceptions of and barriers to breast cancer risk assessment and screening. Among those who subsequently underwent mobile screening, health insurance and time to additional diagnostic imaging and biopsy, when relevant, were retrospectively collected. Results233 women completed surveys (mean age 54±13 years). Ninety-three percent of respondents identified as Black. The most frequently cited barrier to screening mammography was cost and/or lack of insurance coverage (30%). Women under 50 reported more barriers to screening compared to older women. Among those recalled from screening and recommended to undergo biopsy, there was a trend toward longer delays between screening and biopsy among those without a PCP (median 45 days, IQR 25–53) compared to those with a PCP (median 24 days, IQR 16–29) (p=0.072). ConclusionIn a study of a medically underserved community of primarily Black patients, barriers to breast cancer risk assessment, screening, and diagnosis were identified by self-report and by documented care delays. While free mobile mammography initiatives that bring medical professionals into communities can help mitigate barriers to screening, strategies for navigation and coordination of follow-up are critical to promote timely diagnostic resolution for all patients.

Performance and Analysis of the Alchemical Transfer Method for Binding-Free-Energy Predictions of Diverse Ligands.

The Alchemical Transfer Method (ATM) is herein validated against the relative binding-free energies (RBFEs) of a diverse set of protein-ligand complexes. We employed a streamlined setup workflow, a bespoke force field, and AToM-OpenMM software to compute the RBFEs of the benchmark set prepared by Schindler and collaborators at Merck KGaA. This benchmark set includes examples of standard small R-group ligand modifications as well as more challenging scenarios, such as large R-group changes, scaffold hopping, formal charge changes, and charge-shifting transformations. The novel coordinate perturbation scheme and a dual-topology approach of ATM address some of the challenges of single-topology alchemical RBFE methods. Specifically, ATM eliminates the need for splitting electrostatic and Lennard-Jones interactions, atom mapping, defining ligand regions, and postcorrections for charge-changing perturbations. Thus, ATM is simpler and more broadly applicable than conventional alchemical methods, especially for scaffold-hopping and charge-changing transformations. Here, we performed well over 500 RBFE calculations for eight protein targets and found that ATM achieves accuracy comparable to that of existing state-of-the-art methods, albeit with larger statistical fluctuations. We discuss insights into the specific strengths and weaknesses of the ATM method that will inform future deployments. This study confirms that ATM can be applied as a production tool for RBFE predictions across a wide range of perturbation types within a unified, open-source framework.

A review of coordinated control strategies for compound braking of electric vehicle ABS

In the case of compound braking, the dynamic coordination control strategy of electric vehicle ABS will directly affect the braking safety and the braking energy recovery. Based on the analysis of the compound braking control strategy of electric vehicle ABS, this review divides it into two categories: the single braking system control of ABS and the compound braking system control of ABS. The control strategy of ABS compound braking system is analyzed, according to the way of hydraulic control and motor control, it is divided into four categories: motor constant hydraulic coordination, hydraulic constant motor coordination, motor maximum hydraulic coordination, and motor hydraulic mutual coordination. The advantages and disadvantages of different control strategies are compared from the aspects of system response speed, stability, energy recovery rate, and complexity of system implementation. Considering the performance comprehensively, the analysis shows that the control strategy of motor hydraulic mutual coordination can give full play to the advantages of the two control systems, which is a better research direction.

Beyond Wi-Fi 7: Spatial reuse through multi-AP coordination

Wi-Fi 7, based on the IEEE 802.11be amendment, is designed to increase the maximum achievable throughput, expand the range of operating frequencies, and improve latency and jitter in worst-case scenario. In the context of the discussions to shape what Wi-Fi 8 will be, the IEEE 802.11 WG is evaluating multi-AP coordination as a strategy to further improve network performance in several aspects. MAC-driven multi-AP coordination strategies include coordinated Orthogonal Frequency Division Multiple Access (c-OFDMA), coordinated Time Division Multiple Access (c-TDMA), and coordinated Spatial Reuse (c-SR). In c-OFDMA, a set of APs transmit during a Transmission Opportunity on different channels, whereas in c-TDMA, the APs take turns transmitting on the same channel during a Transmission Opportunity. Instead, in c-SR, a set of APs transmit simultaneously on the same channel and during the same Transmission Opportunity.In this paper, we focus on c-SR. We introduce a c-SR interference model and present a strategy based on the proposed model for estimating groups of APs that can transmit successfully simultaneously. We implemented the proposed approach in the multi-AP coordination framework of ns-3 that we developed to analyze c-TDMA. We then thoroughly evaluate the performance of the proposed c-SR scheme via ns-3 simulations. The proposed scheme allows increasing the system throughput of a dense deployment up to 2.3 times as well as substantially reducing the Head of Line delay.

The coordination strategies of coal supply chain considering carbon emissions reduction

The coordination strategies of a two-echelon coal supply chain consisting of a coal enterprise and a downstream enterprise are proposed considering market low-carbon preference and carbon emissions reduction. The cleaning and matching degree (CMD) is introduced to measure the quality of commercial coal which have influence on the production cost and energy consumption of the downstream enterprise. Stackelberg models are established to investigate the coordination strategies using cost-sharing contracts. We use backward induction to solve the models and analyse the optimal decisions in four scenarios. It is revealed that promoting CMD level can extend the market portion and realise more profit. The cost-sharing contract can coordinate the supply chain members, obtain profit Pareto improvement in certain condition of cost-sharing ratio and establish a win-win situation. Additionally, the emission reduction is greater than that under decentralised decision-making.

Space-Fluid Adaptive Sampling by Self-Organisation

A recurrent task in coordinated systems is managing (estimating, predicting, or controlling) signals that vary in space, such as distributed sensed data or computation outcomes. Especially in large-scale settings, the problem can be addressed through decentralised and situated computing systems: nodes can locally sense, process, and act upon signals, and coordinate with neighbours to implement collective strategies. Accordingly, in this work we devise distributed coordination strategies for the estimation of a spatial phenomenon through collaborative adaptive sampling. Our design is based on the idea of dynamically partitioning space into regions that compete and grow/shrink to provide accurate aggregate sampling. Such regions hence define a sort of virtualised space that is "fluid", since its structure adapts in response to pressure forces exerted by the underlying phenomenon. We provide an adaptive sampling algorithm in the field-based coordination framework, and prove it is self-stabilising and locally optimal. Finally, we verify by simulation that the proposed algorithm effectively carries out a spatially adaptive sampling while maintaining a tuneable trade-off between accuracy and efficiency.

Advanced Force Coordination of Lower Extremities During Visuomotor Control Task in Soccer Players

ABSTRACT Purpose: This study is aimed to determine specific bilateral lower extremity motor performances and coordination patterns in soccer players with healthy controls using the bilateral force control paradigm. We hypothesized that soccer players would show more advanced bilateral force control performances than untrained controls. Methods: Participants were 13 university soccer players and 13 healthy controls. Each group performed bilateral ankle dorsiflexion force control tasks across two vision conditions (i.e., vision and no-vision) and two targeted force levels (i.e., 10% and 40% maximum voluntary contraction). We calculated force accuracy, variability, and symmetry to assess force control performances. To estimate bilateral force coordination, we calculated Pearson’s correlation coefficients between feet-within a single trial and considered uncontrolled manifold variables across multiple trials. In the no-vision condition, we performed secondary analyses for initial force control patters after removal of visual feedback. Results: There were no significant group differences in bilateral force accuracy and variability but, compared to the control group, soccer players showed higher force symmetry between left and right ankle dorsiflexion forces. For force coordination between feet, soccer players revealed more negative values of the correlation coefficient and greater good variability from the uncontrolled manifold analysis than those for the control group. The secondary analysis revealed no significant group differences in the time until force drift and amount of force adjustments. Conclusions: Soccer players have more compensatory and flexible interlimb force coordination strategies between feet.

Interagency Coordination Drivers, Instruments, and Success Factors: A Systematic Literature Review

Interagency coordination remains a classic and ever-expansive topic in public administration theory. Often considered the key to successful policy or program implementation, coordination also presents its complexities. Research on this subject continues to evolve regarding its sheer numbers, the diversity of locations, problems, and sectors of concern, and the type of government agencies being the subject. This article employed a systematic literature review to identify and analyze coordination drivers, instruments, and critical success factors associated with coordination. The study focused on original articles published from 2010 to 2021 in relevant journals indexed by Scopus. The review revealed that coordination can be driven by problems, institutions, or a combination of both simultaneously. Coordination instruments may involve one or a variety of interventions from governance and structure, systems and processes, policies and agreements, or the engagement of intermediaries. Factors of institutional settings, managerial capacity, and the accuracy of coordination strategies also determine the success of this intervention.

Application of eco-compensation to control transboundary water pollution in water diversion projects: The case of the Heihe River transfer project in China

Controlling transboundary water pollution is particularly crucial for the sustainable development of diversion basins, while eco-compensation is an essential incentive for multistakeholder transboundary water pollution control. Considering the dynamics of the various actors' pollution control behavior in the Heihe River water transfer project and utilizing differential game theory, we construct a baseline strategy, a horizontal eco-compensation strategy, and an incentive coordination strategy under scenarios with and without authority incentives. The corresponding equilibrium solutions are then determined, and comparisons are made between the payoffs of the players in the six different structures, thus defining the optimal scenario for the different programs. In the case of the largest ecological water transfer project of the Heihe River in Northwest China, according to the research findings, (1) when eco-compensation is funded through a single source, incentive coordination scenarios can contribute effectively to water pollution control instituted by the main participants in water diversion projects; when multiple financing sources are available, horizontal ecological compensation scenarios are more compatible with the individual interests of local municipalities to improve the water quality environment. (2) Water-receiving cities voluntarily eco-compensate for water-supplying cities, and this incentive structure for eco-compensation facilitates a significant improvement in the effectiveness of water pollution control and therefore the harmonious promotion of sustainable economic and environmental development in eco-fragile areas. (3) Water transfer projects, for which the two participants are at widely.different levels of development and the environment is inherently fragile, can facilitate, via an eco-compensation mechanism that combines horizontal and vertical scenarios, sustainable development-oriented policies for eco-compensation systems in which the authority participates as a third-party game player. The research supports the establishment of policies for the governance of the transboundary water diversion project basins to address conflicts in water pollution management.

Multi-objective distributed control of WT-PV-BESS integrated weak grid via finite time containment

This paper proposes a finite time containment control scheme to achieve distributed control of a weak grid which is integrated with photovoltaic (PV), wind turbine (WT) and battery energy storage system (BESS). Taking advantage of the containment control in multi-dimensional control, we proposed a multi-objective control scheme of the WT-PV-BESS system in a weak grid, wherein four control objectives are specified, namely, bus voltage regulation, grid frequency control, peak load shaving and economic benefits optimization for the system operator. Firstly, the sizing approach of BESSs to fulfill the operation mission requirements is proposed; meanwhile, the general coordination strategy for the PV, WT and BESS to achieve the demand–supply balance is proposed. Subsequently, the predefined four control objectives are modeled and transferred into the long/short time frame operational constraints of the BESSs. Afterwards, the finite time containment control algorithm is proposed to force the BESSs into achieving containment status within prescribed time. Simulation case studies are conducted on a modified IEEE 9-bus system to show the effectiveness and performance of the proposed scheme.

Multi-resource spatio-temporal coordinated voltage regulation for active distribution network with multiple integrated energy stations under uncertainties

Integrated energy stations (IESs) are widely spread in power-electronized active distribution network (ADN) for multi-energy services, and heterogeneous uncertainties from source-loads exacerbate voltage violation risks with increasing penetration of distributed generators (DGs). Existing research has not explicitly revealed the spatio-temporal synergy adaptability of multiple response-otherness resources. This paper proposes a bi-level mixed-scale strategy to leverage multiple resources for voltage improvement under uncertainties. Upper level performs model predictive control (MPC)-based rolling for optimizing large-scale reserve-integrated coordination schemes of soft open points (SOPs) and thermal storage/demand; and reserve margins for building temperature are constrained for the sake of unpredictable environmental factors. In lower level, mixed-scale adjustment is applied in which ADN executes re-generated small-scale schemes and IESs obey large-scale schemes of upper level. SOPs’ rapid response abilities are invoked to tackle real-time errors while building temperatures vary within comfort range for responding to insensitive environmental fluctuations. Via sufficient flexibility assurance and mixed-scale coordination in separated levels, the voltage level is effectively facilitated. The original nonconvex model is relaxed into a second-order cone programming (SOCP) formulation, which can be effectively tackled for timely voltage regulation. Numerical results show the proposed strategy can realize spatio-temporal regulation of multiple resources for adapting to different-scale uncertainties, mitigating voltage deviation significantly.

Insights into the coordination-driven role of boron in Fe-doped carbon nitride composites activation of peracetic acid to remove tetracycline: Function and contribution of boron

The coordination strategy of non-metallic atoms was recognized as a great potential for improving the catalytic performance and stability of metal catalysts, although it remained a daunting task. We described a rational design for the introduction of coordinated Boron (B) atoms in Fe-g-C3N4 herein. The resulting FeB5-g-C3N4/PAA system exhibited glorious catalytic activity, removing 96.5 % of tetracycline (TC) within 60 min, surpassing the performance of the Fe-g-C3N4/PAA system by a factor of 1.36. In addition, the system has good acid resistance (pH=3–9) and interference resistance (HCO3-, HPO42-, Cl- and HA), while reduced toxicity of TC and leaching of ferric ions. Notably, B broke the inert electronic structure of graphitic carbon nitride (g-C3N4) and enhanced the electron transfer potential of FeB5-g-C3N4. The coordinated B atoms also had a profound effect on the Fe sites, which not only increased the Fe(II) content but also strengthened the electron-loss potential and PAA adsorption affinity. It served as a TC adsorption site to enhance the adsorption of TC simultaneously. These contributions not only accelerated the regeneration of the Fe(II)/Fe(III) redox cycle but also led to the conversion of high-valent iron oxide species and R-O· into main active species, which played crucial roles in the removal of TC. In summary, this study offered insight into the role and contribution of B on metal catalysts, and it has showcased the practical potential of the FeB5-g-C3N4/PAA process for wastewater treatment applications.

An executable domain-specific modeling language for simulating organizational auction-based coordination strategies for crisis response

Emergency response environments in which the crisis occurs include many homogenous and heterogeneous entities, e.g., organizations and persons. These entities need to collaborate to address a crisis. However, most of the time, the organizations that are involved in a crisis suffer from communication and coordination problems. This may cause unfair resource distribution. To mitigate the problem, there is a pressing need to construct models of emergency response environments and simulate the coordination strategies proactively, before the onset of any crisis. This paper highlights the complexity of the system formed by interacting organizations during a crisis and the difficulty in programming for the simulation of such complex systems. To cope with this issue, this paper presents an executable domain-specific modeling language called CoorERE. The language facilitates modeling emergency response environments for the simulation of one of the most common coordination strategies, i.e., auction-based coordination strategies in crisis response. CoorERE is used for the graphical modeling of emergency response environments and simulation of both inter and intra-organizational auction-based coordination strategies. The paper presents two case studies with different complexities to show the applicability of CoorERE. An empirical study is conducted to compare CoorERE with MDD4ABMS, which is one of the most recent tools for modeling and simulation of multi-agent systems. The evaluation includes both objective and subjective assessments. The objective assessment considers the development effort required for modeling a complete case study, while the subjective assessment compares the tools in terms of satisfying modeling method requirements and quality metrics such as usability, productivity, and expressiveness. The results of the evaluation indicate that CoorERE reduces the development effort by about 47%. In terms of quality metrics, CoorERE obtained higher scores than MDD4ABMS for all the measurements considered, indicating its superior usability, productivity, and expressiveness.

A response coordination design technology for the main loaded structures of the internal combustion engines based on NSEHO

AbstractResponse coordination design becomes an inevitable trend based on the multidisciplinary optimization design (MOD) in the development of the design for complex mechanical structures. Aiming at the problem of unclear mechanism of response coordination for main loaded structures, a response coordination design technology characterized by a response coordination evaluation system is proposed based on an analytic hierarchy process. In addition, a nondominated sorting elephant herding optimization (NSEHO) algorithm is proposed by introducing the Pareto optimization theory into elephant herding optimization and combining fixed‐sized candidate set adaptive random testing algorithm to overcome inherent limitations of the traditional algorithm in response coordination design. Taking the main bearing assembly structure as an example, the response coordination design is conducted based on the proposed technology and NSEHO algorithm. The response coordination design scheme of the main bearing assembly structure is experimentally verified. The results show that the Pareto frontier of NSEHO is smoother and is closer to the real Pareto frontier compared to NSGA‐II in condition of small population size and restricted iteration generations, revealing the advancement of the solving ability of NSEHO. The coordination coefficients of strength, stiffness, contact strength, and mass of the main bearing assembly structure are increased by 13.91%, 14.96%, 2.63%, and 0.07%, respectively, and the overall coordination coefficient are increased by 11.10%. The indicators of strength, stiffness, and contact strength of the response coordination scheme are better than those of the original scheme by experimental verification, demonstrating the effectiveness of the response coordination design technology. The proposed technology reveals the response coordination mechanism of the main loaded structures of internal combustion engines and provides an important guiding significance to MOD for complex mechanical structures.