Coordination Model Research Articles

Coupling coordination analysis of urbanization and energy eco-efficiency: a case study on the Yangtze River Delta Urban Agglomeration.

The coordination of urbanization with the ecological environment has become a significant sustainable urban development problem given the current acceleration in China's urbanization. The existing research lacks in-depth discussion on the coordination relationship between urbanization and energy eco-environment from the perspective of urban agglomeration. This paper takes the Yangtze River Delta Urban Agglomeration as its research area. The combination of CRITIC and entropy weight methods is used to measure the comprehensive urbanization level (CUL) from the four dimensions of population, economy, land, and society, and the SBM-Undesirable model is used to measure the energy eco-efficiency (EE). The spatiotemporal pattern and dynamic evolution law of the coupling coordination degree (CCD) between CUL and EE are analyzed using the coupling coordination model and the spatial Markov chain. The research results reveal that (1) from the comprehensive development level standpoint, both CUL and EE are on the rise from 2010 to 2021; however, a problem of unbalanced development is observed. (2) The overall CCD displays an upward trend and evinces significant spatial differentiation characteristics from the coordinated development level viewpoint. (3) The CCD transition state is not isolated to certain geographic spaces: adjacent cities will impact changes in the coupling coordination types of an urban center. Therefore, we propose strategies to improve the CCD between CUL and EE to offer theoretical and policy inferences for the formulation of sustainable urban development strategies.

Coordination measure for coupling system of digital economy and rural logistics: An evidence from China.

As an important engine for high-quality economic development, the digital economy is gradually integrating with the rural logistics industry. This trend is contributing to making rural logistics a fundamental, strategic, and pioneering industry. However, some valuable topics remain unstudied, such as whether they are coupled and whether there is variability in the coupling system across the provinces. Therefore, this article takes system theory and coupling theory as the analytical framework, aiming to better elaborate the subject's logical relationship and operational structure of the coupled system, which is composed of a digital economy subsystem and a rural logistics subsystem. Furthermore, 21 provinces are seen as the research object in China, and the coupling coordination model is constructed, aiming to verify the coupling and coordination relationship between the two subsystems. The results suggest that two subsystems are coupled and coordinated in the same direction, and they feed back and influence each other. During the same period, four echelons are divided and there is variability in the coupling and coordination between the digital economy and rural logistics, according to the coupling degree (CD) and coupling coordination degree (CCD). Findings presented can serve as a useful reference for the evolutionary laws of the coupled system. The findings presented here can serve as a useful reference for the evolutionary laws of coupled systems. Moreover, it further provides ideas for the development between rural logistics and the digital economy.

Connection number based model for coordination development evaluation of regional water resources, social economy and ecological environment complex system

The development of social economy often requires a large consumption of water resources, and will also discharge a large amount of pollutants to the environment. Currently, the rapid development of regional water resources, social economy and ecological environment (WSE) complex system encounters significant challenges, and the coordination development of WSE complex system becomes important and necessary condition of regional sustainable development. Therefore, to scientifically evaluate the coordination development state of WSE system, based on the establishment of evaluation index system, the connection number and distance coordination model coupling approach for the coordination development evaluation of WSE complex system was proposed in this manuscript. The application results of the proposed method in Anhui Province, China indicate that, during 2011–2020, the coordination level of Anhui province is relatively high, and the coordination grade of most cities are in grade I or II. The coordination development degree of Anhui province presented a distinct improving trend with time, from most cities in grade IV or V in 2011 to most cities in grade II in 2020, from the worst 0.0580 in 2011 to the best 0.9200 in 2020. In terms of space, the coordinated development level of southern Anhui is higher than that of northern Anhui. Meanwhile, the coordination development status of the 16 cities in Anhui province can be divided into three patterns according to its historical variation characteristics, i.e., coordination development mode, ecological environment backward mode, and social and economic backward mode. Compared with the commonly used coordination evaluation method, the method of this paper can solve the problem of homogenization, and its calculation results are more reasonable and practical.

Spatial Network Analysis on the Coupling Coordination of Digital Finance and Technological Innovation

For sustainable economic development, it is extremely important to understand how digital finance and technological innovation are coupled and how the spatial coupling network is connected. Based on panel data collected from 31 Chinese provinces between 2011 and 2020, this paper calculates the technological innovation index using the entropy method, and adopts the coupling coordination model to measure the coupling coordination degree of digital finance and technological innovation. Furthermore, this paper utilizes the improved gravity model to determine the spatial correlation matrix and uses the social network analysis (SNA) method to investigate the spatial spillover characteristics of the coupling network. The results demonstrate the following: (1) While the index of digital finance and technological innovation rose and digital finance developed rapidly, the level of technological innovation remained low. (2) There was an improvement in the degree of coupling coordination between digital finance and technological innovation, which was higher in the eastern region and lower in the west. (3) The overall network density and the number of associations increased; meanwhile, the network hierarchy and network efficiency declined, indicating that the spatial structure was strengthened. (4) The centrality of some developed eastern regions, such as Beijing, Shanghai, and Zhejiang, was greater than that of some underdeveloped areas in the midwest and northeast regions. (5) The coupling coordination network can be classified into four types: the “main inflow plate” mainly includes underdeveloped regions in the midwest areas; the “main outflow plate” and “bidirectional spillover plate” primarily include the developed eastern areas; and the “agent plate” mainly includes the central provinces. This research provides a foundation for enhancing the cross-regional coupling coordinated development of digital finance and technological innovation.

Synergy of pollution control and carbon reduction in China: Spatial–temporal characteristics, regional differences, and convergence

Promoting the synergy of pollution control (PC) and carbon reduction (CR) is an important strategy for ecological civilization construction in China. Based on constructing a measuring system for PC and CR respectively, we employ the coupling coordination model to determine the coupling coordination degree (CCD) between PC and CR in 30 Chinese provinces during 2006–2019, and analyze the spatial–temporal characteristics, regional differences, and convergence of the CCD between PC and CR from a dual perspective of east–west and south–north regional divisions. The results show that the average CCD between PC and CR increases from 0.8339 in 2006 to 0.8904 in 2019, suggesting that the two subsystems are in a well-coordinated stage. Moreover, China's CCD shows a “high in the east and low in the west, high in the south and low in the north” layout and exhibits a prominent spatial positive autocorrelation characteristic. Furthermore, the overall regional differences in the CCD of each province show an increasing trend initially, followed by a decreasing trend. The overall differences in east–west and south–north originate primarily from the cross-regional and within-regional difference, respectively. The results of the convergence model show that there is no σ convergence of China's CCD, while there exists β convergence in China and different regions. These findings provide empirical evidence and policy implications for facilitating the synergistic effect of PC and CR.

Terpyridine ruthenium–triarylamine asymmetrical mixed-valence systems: Syntheses, (Spectro) electrochemistry and theoretical calculations

A series of asymmetrical terpyridine ruthenium-TAA redox-active organometallic complexes was prepared and characterized. The bonding and electronic properties of these complexes were investigated by spectro-electrochemistry and theoretical calculations. Electrochemical results revealed that four complexes exhibited two successive single-electron redox processes, in which the first-step electrochemical behavior of tpyRu-ethynyl-TAA complexes occurred at the triarylamine moiety, the first-step based-metal oxidation of Cl-tpyRu-TAA complex was decided, and their half-wave potential difference ∆E decreased gradually. The near-infrared (NIR) spectroscopic results of mixed-valence states obtained by spectro-electrochemistry showed that they all have NIR multiple absorption characteristics. The maximum absorption wavelength of singly-oxidized tpyRu-ethynyl-TAA molecules redshifted with bridge conjugate extension, whereas Cl-tpyRu-TAA mixed-valence state only displayed weak absorption at high-energy region, as later confirmed by TDDFT calculation. The electron coupling parameters Hab obtained from the inter-valence charge transfer analysis of mixed-valence states by the Marcus–Hush theory decreased gradually with the extension of the bridge chain, consistent with the electrochemical results. In addition, DFT calculation reflected that the HOMO contribution in bridge chain of neutral molecules increased with the conjugate bridge extension, and the spin density distribution of mixed-valence states was mainly localized on the aryl bridge and NAr2 and featured the less metal character and hence less charge delocalization. The above results concluded that the degree of electronic coupling and the order of redox processes are greatly affected by conjugated bridge and the coordination model between terpyridine and ruthenium.

A coupled and coordinated analysis in livelihoods of poverty alleviation migrants from a just transition perspective

IntroductionFrom 2016 to 2020, China resettled 9.6 million poor people for the purpose of poverty alleviation. While this policy achieved the goal of eliminating absolute poverty, it also caused massive displacement and problems related to achieving a “just transition”. This study considers the “coupled coordination model” of resettlement, and examines livelihood capital and livelihood stability, from the perspective of “just transition”.MethodsThis study is based on survey data gathered in Lanping County, Yunnan Province from 235 resettled people that belong to “ethnic minority groups directly-entering-socialism”, making use of the livelihood capital assessment index system of farm households which is based on China's poverty alleviation resettlement policy and background-established a “coupled coordination degree model” which coordinates and combines livelihood capital and livelihood stability analyzes how accumulation of livelihood capital affects livelihood stability.ResultsResults indicate that (1) resettlement and supportive measures increased the coupling and coordination of migrants' household livelihood capital and livelihood stability.; (2) This type of coupled coordination led to a change from “dysfunctional decline type” to a “transitional development type”, thus reflecting “just transition”; (3) Although livelihood capital had an important positive impact on the coupling and coordination of migrants livelihood coupling and coordination, different livelihood strategies influenced livelihood coupling and coordination in different ways.DiscussionThis requires that government decision makers focus on facilitating a “just transition” as migrants become urbanized citizens. Disposing of natural resources such as farmland for migrants, promoting the implementation of land circulation policies, considering the contribution of different types of livelihood capital to different families, improving the precision of employment training, and promoting sustainable livelihood development.

Eu3+‐Activated Single‐Band Ratiometric Nanothermometry by Lattice Negative Thermal Expansion

AbstractSingle‐band ratiometric (SBR) thermometry has recently emerged as a powerful alternative to its dual‐emission counterparts because it can avoid the large uncertainties related to the emission spectral overlap or light absorption/scattering by the medium. Herein, a novel SBR thermometric scheme in Sc2Mo3O12:Eu3+ nanosheet that depends on thermal enhancement of charge‐transfer state absorption between O2− and Eu3+ is reported. Mechanistic investigation reveals the vital role of the lattice negative thermal expansion (NTE) for thermally enhanced Eu3+ emissions according to the configuration coordinate model. In contrast, serious thermal quenching of Eu3+ emissions is detected under the excitation wavelength corresponding to ground state absorption. Such excitation wavelength‐dependent thermal behavior of luminescence enabled SBR thermometry with high sensitivity and resolution (Sr = 2.0% K−1, δT = 0.121 K at 363 K). Finally, the applicability of the proposed SBR model to real‐world sensing scenarios is demonstrated using the as‐fabricated flexible thin‐film, offering accurate and real‐time temperature detection at the local hotspot in the electronic component.

A Study of the Financial Dispute Resolution Mechanism in Hong Kong and the Implications for the Mainland

The establishment of the Hong Kong Financial Dispute Resolution Centre (FDRC) has both enhanced the recognition of Hong Kong financial consumers and increased the dynamism of the Hong Kong financial market. As a new model of financial dispute coordination, this article takes this mediation institution as an example and introduces the operation process of the FDRC in detail, and accordingly briefly introduces the current development of financial dispute resolution in mainland China. On the basis of analyzing the shortcomings revealed in the operation of the financial mediation centre in China's mainland, which are currently in their infancy, this article draws on the relevant practices in Hong Kong, takes the essence of them and combines them with the actual situation in the region, in the hope that It is hoped that it will provide reference for the construction of a diversified and facilitated financial dispute resolution mode in the mainland.

A Proposed Medical Coordination Model for Pharmaceutical Palliative Care in Community Pharmacies-A Mixed Methods Approach

In recent years, the number of patients undergoing outpatient cancer treatment has been increasing. Community pharmacies, have been increasingly involved in cancer treatment and home palliative care. However, there are several hurdles to overcome, such as logistical support during non-standard working hours (at night or during holidays), emergency visits, and for aseptic dispensing. In this paper, we describe a model of medical coordination for emergency home visits during non-standard working hours in which opioid injections need to be dispensed. The study was conducted using a mixed methods approach. We investigated the need for a medical coordination model in home palliative care as well as the issues that need to be improved upon. We constructed, implemented, and assessed the effectiveness of our medical coordination model in a research setting. The medical coordination model reduced the sense of difficulty for general practitioners and community pharmacists in dealing with patients during non-standard working hours and strengthened the degree of cooperation within the coordination team. The activities of the collaborative team saved patients from emergency hospitalization and enabled them to receive end-of-life care at home in accordance with their wishes. The basic framework of the medical coordination model can be adapted according to regional needs and will help promote home palliative care in the future.

A modified deformation coordination model for calculating the internal force of anchored piles

A modified deformation coordination model for calculating the internal force of anchored piles

An ETCEN-Based Motion Coordination Strategy Avoiding Active and Passive Deadlocks for Multi-AGV System

In recent years, automated guided vehicles (AGV) are widely used to sort and transport parcels in logistics warehouses. The deployment of AGVs can improve storage efficiency and free human labour greatly. However, as the number of AGVs grows, the computational complexity and deadlock occurrence rate increase simultaneously, making it extremely difficult to coordinate AGVs’ movements in real time. In this paper, we first present a hierarchical motion coordination system based on event-triggered colored elementary net (ETCEN). The primary aim of the system is to coordinate AGVs in real time regardless of the system’s scale. Then, we describe deadlocks by the ETCEN model and classify them into two categories - active deadlocks and passive deadlocks. Active deadlocks are prevented dynamically by controlling the movements of AGVs, while passive deadlocks are resolved by an improved path planning strategy. The entire system relies on a two-layer architecture, thereby improving flexibility and scalability. The proposed algorithms are validated by simulations and applications. Experiment results demonstrated that our approach can coordinate multi-AGV systems, avoid collisions and prevent deadlocks effectively. Note to Practitioners—This paper was motivated by the problem of coordinating multi-AGV system in warehouses, especially the tricky problem of preventing deadlocks in large-scale applications. Existing approaches mainly focused on collision-avoiding strategies, while paying less attention to the deadlock-preventing problem. As a result, the feasibility of current deadlock prevention methods strongly depends on the topology of the environment, and the computation time will surge exponentially as the scale of AGVs grows. This paper suggests a general approach towards solving two types of deadlocks (active deadlocks and passive deadlocks) based on Petri net theory. In this paper, a multi-AGV coordination model is presented and described thoroughly. Then we use the model to prove our theories and introduce our collision-avoiding and deadlock-preventing strategies. A two-layer architecture is designed to support the expansion of AGV fleet, making our system highly scalable. Both experiments and applications suggest that this approach is feasible and effective. In future research, we will focus on further optimizing the coordination and routing algorithm to improve the system throughput.

How does two-way FDI affect China’s green technology innovation?

ABSTRACT As China enters a new stage of opening up, the two-way FDI will affect the efficiency of technological innovation, which is significant to alleviate the current dilemma of resource exhaustion. In this paper, we analyze the effects of two-way FDI and other variables on green technology innovation based on the Granger test, coupling coordination model and fixed effect model, and further study the nonlinear effects with the financial development level as the threshold variable. The obtained results indicated that: (1) There is an interactive relationship between IFDI and OFDI, and two-way FDI can produce a greater positive synergy effect, with regional heterogeneity. (2) Urbanization level, property protection and government support have a positive effect on the promotion of green technology innovation. (3) The advanced industrial structure plays a suppressive role. (4) The impact of two-way FDI on China’s green technology innovation level has a double threshold effect.

Spatial position recognition method of semi-transparent and flexible workpieces: A machine vision based on red light assisted

In the automatic sorting process, overlapping translucent and flexible workpieces on the conveyor belt, blurring the imaging edge features of translucent and flexible workpieces is a challenge to locate the upper and lower workpieces spatially, we propose a method for locating translucent and flexible workpieces spatially under the overlapping environment in conjunction with the most common automatic sorting of translucent and flexible workpieces such as infusion tube drip buckets. Firstly, we propose a rectangular surface light source based on 650 nm band and monocular CCD for imaging translucent workpieces such as infusion tube drip buckets and optimize the imaging parameters. Secondly, we study a feature matching recognition algorithm for flexible workpieces that are prone to deformation, construct a mapping relationship between the position of overlapping layers and imaging quality of translucent and flexible workpieces such as infusion tube drip buckets based on clarity and information entropy, and establish The mapping relationship between the position of the overlapping layers and the imaging quality of translucent and flexible workpieces such as infusion tube drip buckets is constructed based on clarity and information entropy, and a local spatial coordinate conversion model is established. Finally, the spatial positioning coordinates of overlapping and non-overlapping translucent and flexible workpieces in the local coordinate system are identified, and the results show that the imaging method and theory can be effectively applied to the identification of overlapping and spatial positioning coordinates in the automatic sorting of translucent workpieces such as infusion tube drip buckets.

Coupling Coordination Degree of AOD and Air Pollutants in Shandong Province from 2015 to 2020

In order to reveal the correlation between aerosols and pollution indicators, the MODIS aerosol optical depth (AOD) was used to investigate the distribution of AOD in 16 prefecture-level cities in Shandong Province from 2015 to 2020. This study quantitatively analyzed the coupling degree and the coupling coordination degree between AOD and pollution indicators based on the coupling coordination model. The results showed that: (1) The annual average AOD in Shandong Province showed a rapid downward trend with a mean value of 0.615. The seasonal AOD of Shandong Province and prefecture-level cities was characterized by spring and summer > autumn and winter. The distribution of AOD in Shandong Province showed a spatial pattern of high in the west and low in the east, and high in the surrounding area and low in the middle. The decreasing rate of AOD was high in the west and low in the east. (2) The annual average AOD and Air Quality Index (AQI) were in a highly coupled and coordinated state. Their spatial distribution pattern decreased from west to east. There were certain fluctuations with seasonal changes, with the largest fluctuation in winter. (3) Except for O3, the overall coupling and coordination level between AOD and each pollutant was relatively high. The coupling coordination effect was as follows: C (PM2.5, AOD) and C (PM10, AOD) > C (NO2, AOD) > C (SO2, AOD), and C (CO, AOD) > C (O3, AOD). Except for the O3, its distribution was characterized by highs in the west and lows in the east. The degree of coupling between each pollution indicator and the seasonal average AOD was high. The study showed that there was a high degree of coupling and coordination between pollutant concentration indicators and AOD, and remote sensing AOD data can be used as an effective supplement to regional pollutant monitoring indicators.

A Combination of Ion Implantation and High‐Temperature Annealing: Donor–Acceptor Pairs in Carbon‐Implanted AlN

Herein, carbon‐implanted high‐temperature annealed (HTA) AlN layers are analyzed and donor–acceptor pair (DAP) transitions probably between the two most abundant impurities, carbon and oxygen, are identified. Both are regarded as the main, hard‐to‐avoid impurities in crystal growth. Oxygen is believed to lead to absorption in the deep UV below a wavelength of 250 nm. In contrast, carbon is the most likely candidate to be responsible for a distinct absorption band around 265 nm. This interpretation has recently been challenged. In this study, carbon‐implanted and HTA AlN layers with ion fluences above 8.1 × 1015 cm−2 are analyzed using low‐temperature and time‐resolved cathodoluminescence spectroscopy. Due to the high concentration of oxygen inside the AlN, as a result of the HTA process, a DAP transition between a most likely carbon‐related acceptor and ON is observed. The measured temperature‐ and power‐dependent blueshift of the peak emission energy as well as the luminescence transients can be clearly explained by a continuous change from a DAP transition at low temperature to a free electron to acceptor transition with increasing temperature. The findings are supported by a configurational coordinate model that describes the measured behavior qualitatively.

Novel Data-Driven decentralized coordination model for electric vehicle aggregator and energy hub entities in multi-energy system using an improved multi-agent DRL approach

Energy hub (EH) is an independent entity that benefits to the efficiency, flexibility, and reliability of integrated energy systems (IESs). On the other hand, the rapid emerging of electric vehicles (EVs) drives the EV aggregator (EVAGG) as another independent entity to facilitate the electricity exchange with the grid. However, due to privacy consideration for different owners, it is challenging to investigate the optimal coordinated strategies for such interconnected entities only by exchanging the information of electrical energy. Besides, the existence of parameter uncertainties (load demands, EVs’ charging behaviors, wind power and photovoltaic generation), continuous decision space, dynamic energy flows, and non-convex multi-objective function is difficult to solve. To this end, this paper proposes a novel model-free multi-agent deep reinforcement learning (MADRL) -based decentralized coordination model to minimize the energy costs of EH entities and maximize profits of EVAGGs. First, a long short-term memory (LSTM) module is used to capture the future trend of uncertainties. Then, the coordination problem is formulated as Markov games and solved by the attention enabled MADRL algorithm, where the EH or EVAGG entity is modeled as an adaptive agent. An attention mechanism makes each agent only focus on state information related to the reward. The proposed MADRL adopts the forms of offline centralized training to learn the optimal coordinated control strategy, and decentralized execution to enable agents’ online decisions to only require local measurements. A safety network is employed to cope with equality constraints (demand–supply balance). Simulation results illustrate that the proposed method achieves similar results compared to the traditional model-based method with perfect knowledge of system models, and the computation performance is at least two orders of magnitudes shorter than the traditional method. The testing results of the proposed method are better than those of the Concurrent and other MADRL method, with 10.79%/3.06% lower energy cost and 17.11%/6.82% higher profits of aggregator. Besides, the electric equality constraint of the proposed method is only 0.25 MW averaged per day, which is a small and acceptable violation.

Study on the Coupling Effect of Agricultural Production, Road Construction, and Ecology: The Case for Cambodia

Agricultural development is a necessary component of national development efforts to fight food crises and promote poverty reduction in many developing countries. However, many developing countries have fallen into a stalemate between modernization and development—modernized areas are less capable of driving regional development despite their abundant land and rich population. Striking a balance between agricultural technology and environmental protection is a key feature of sustainable land development. Based on the social–ecological resilience theory, this study takes Cambodia as an example and aims to establish a comprehensive evaluation index system to measure the agricultural production, regional road construction, and agricultural eco-environment in Cambodia. The coupled coordination model and gray relation analysis model are utilized to explore the interaction between agriculture, roads, and the agricultural eco-environment. The results show that (1) Cambodia has road environmental risks, and there is a need for rural labor migration in areas with higher levels of economic development. (2) The main agricultural production areas are faced with the dilemma of lagging infrastructure development, such as roads, and a huge potential for agricultural development. (3) In the plains areas, the growing population has caused tension between food security, fertilizer abuse, and deforestation, which intensified the disturbance of the agricultural ecological environment. In summary, based on their own developmental needs, developing countries at different stages of development can explore the interaction between agricultural production, infrastructure development, and the agricultural eco-environment in the process of agricultural development. This study attempts to provide a set of practical development policy implications for developing countries that are seeking to enhance the coupling relationship between agricultural production, infrastructure, and the agricultural eco-environment.

Coupling Relationship between Rural Settlement Patterns and Landscape Fragmentation in Woodlands and Biological Reserves—A Case of Nanshan National Park

Exploring the influence of settlement patterns on the landscape fragmentation in woodlands and biological reserves is key to achieving ecologically sustainable development. In this research, we chose the Nanshan National Park in Hunan Province, China, as a case study, to explore the influence mechanisms. First, we identified the biological reserves through the landscape security patterns of biological conservation. Second, we constructed a coupling coordination model to analyze the coupling relationship between the settlement patterns and landscape fragmentation in the woodlands and biological reserves. The analysis showed that, overall, the effect of the settlement area on the landscape fragmentation in the biological reserves was more pronounced, while the effect of the settlement spread and shape on the landscape fragmentation in the woodlands was more obvious. From a type-specific perspective, we analyzed the coupling relationship between the settlement patterns and (1) the landscape fragmentation in different woodlands and (2) the landscape fragmentation in the biological reserves, namely concerning Leiothrix lutea and Emberiza aureola. We found that the effect of the settlement patterns on the landscape fragmentation of the Leiothrix lutea biological reserve was more significant than that of the landscape fragmentation of its main habitat, the evergreen broad-leaved forest. The effect of settlement patterns on the landscape fragmentation of the Emberiza aureola biological reserve was more significant than that of the landscape fragmentation of its other habitats. In addition, the results demonstrated that the habitat protection of the woodlands was not a substitute for the systematic protection of biosecurity patterns. This research could assist in developing more efficient conservation measures for ecologically protected sites with rural settlements.

An inducible explant model of osteoclast-osteoprogenitor coordination in exacerbated osteoclastogenesis

Elucidating a basic blueprint of osteoclast-osteoblast coordination in skeletal remodeling and understanding how this coordination breaks down with age and disease is essential for addressing the growing skeletal health problem in our aging population. The paucity of simple, activatable, biologically relevant models of osteoclast-osteoblast coordination has hindered our understanding of how skeletal remolding is regulated. Here, we describe an inducible exvivo model of osteoclast-osteoblast progenitor coordination. Induction activates the release of osteoclastogenic factors from osteoprogenitors, which elicits the differentiation and fusion of neighboring preosteoclasts. In turn, multinucleated osteoclasts release soluble coupling factors, RANK+ extracellular vesicles and promote osteoprogenitor proliferation, recapitulating aspects of perturbed coordination in diseases underpinned by excessive osteoclast formation. We expect this model to expedite the investigation of cell-cell fusion, osteoclast-osteoblast progenitor coordination, and extracellular vesicle signaling during bone remodeling and offer a powerful tool for evaluating signaling cascades and novel therapeutic interventions in osteoclast-linked skeletal disease.