Multiple Coordination Research Articles

Single‐Atom Zinc Sites with Synergetic Multiple Coordination Shells for Electrochemical H2O2 Production

AbstractPrecise manipulation of the coordination environment of single‐atom catalysts (SACs), particularly the simultaneous engineering of multiple coordination shells, is crucial to maximize their catalytic performance but remains challenging. Herein, we present a general two‐step strategy to fabricate a series of hollow carbon‐based SACs featuring asymmetric Zn−N2O2 moieties simultaneously modulated with S atoms in higher coordination shells of Zn centers (n≥2; designated as Zn−N2O2−S). Systematic analyses demonstrate that the synergetic effects between the N2O2 species in the first coordination shell and the S atoms in higher coordination shells lead to robust discrete Zn sites with the optimal electronic structure for selective O2 reduction to H2O2. Remarkably, the Zn−N2O2 moiety with S atoms in the second coordination shell possesses a nearly ideal Gibbs free energy for the key OOH* intermediate, which favors the formation and desorption of OOH* on Zn sites for H2O2 generation. Consequently, the Zn−N2O2−S SAC exhibits impressive electrochemical H2O2 production performance with high selectivity of 96 %. Even at a high current density of 80 mA cm−2 in the flow cell, it shows a high H2O2 production rate of 6.924 mol gcat−1 h−1 with an average Faradaic efficiency of 93.1 %, and excellent durability over 65 h.

Single-Atom Zinc Sites with Synergetic Multiple Coordination Shells for Electrochemical H2 O2 Production.

Precise manipulation of the coordination environment of single-atom catalysts (SACs), particularly the simultaneous engineering of multiple coordination shells, is crucial to maximize their catalytic performance but remains challenging. Herein, we present a general two-step strategy to fabricate a series of hollow carbon-based SACs featuring asymmetric Zn-N2 O2 moieties simultaneously modulated with S atoms in higher coordination shells of Zn centers (n≥2; designated as Zn-N2 O2 -S). Systematic analyses demonstrate that the synergetic effects between the N2 O2 species in the first coordination shell and the S atoms in higher coordination shells lead to robust discrete Zn sites with the optimal electronic structure for selective O2 reduction to H2 O2 . Remarkably, the Zn-N2 O2 moiety with S atoms in the second coordination shell possesses a nearly ideal Gibbs free energy for the key OOH* intermediate, which favors the formation and desorption of OOH* on Zn sites for H2 O2 generation. Consequently, the Zn-N2 O2 -S SAC exhibits impressive electrochemical H2 O2 production performance with high selectivity of 96 %. Even at a high current density of 80 mA cm-2 in the flow cell, it shows a high H2 O2 production rate of 6.924 mol gcat -1 h-1 with an average Faradaic efficiency of 93.1 %, and excellent durability over 65 h.

Characterising coordination strategies during initial acceleration in sprinters ranging from highly trained to world class

ABSTRACT Identifying coordination strategies used by sprinters and features that differentiate these strategies will aid in understanding different technical approaches to initial sprint acceleration. Moreover, multiple effective coordination strategies may be available to athletes of similar ability, which typical group-based analyses may mask. This study aimed to identify sub-groups of sprinters based on thigh-thigh and shank-foot coordination during initial acceleration, and assess sprint performance across different combinations of coordination strategies. Angular kinematics were obtained from 21 sprinters, and coordination determined using vector coding methods, with step 1 and steps 2–4 separated for analysis. Performance was assessed using metrics derived from velocity-time profiles. Using hierarchical cluster analysis, three distinct coordination strategies were identified from thigh-thigh and shank-foot coordination in step 1 and two strategies in steps 2–4. Coordination strategies primarily differed around early flight thigh-thigh coordination and early stance shank-foot coordination in step 1, while timing of reversals in thigh rotation characterised differences in later steps. Higher performers tended to have greater lead thigh and foot dominance in step 1 and early swing thigh retraction in steps 2–4. The novel application of cluster analysis to coordination provides new insights into initial acceleration technique in sprinters, with potential considerations for training and performance.

Benzimidazole: A versatile scaffold for drug discovery and beyond – A comprehensive review of synthetic approaches and recent advancements in medicinal chemistry

Heterocyclic compounds are foundational in drug discovery, constituting the core structure of approximately 80% of pharmaceuticals. Benzimidazole, in particular, emerges as a critical aromatic heterocyclic system present in natural compounds, playing an indispensable role in medicinal chemistry. Beyond its pharmaceutical importance, benzimidazole demonstrates its versatility across diverse domains, including materials science and a wide spectrum of pharmacological applications, encompassing antiviral, antifungal, antioxidant, and anticancer properties. The prominence of benzimidazole in both biological activities and industrial applications underscores its pivotal role as a versatile heterocyclic scaffold. Its outstanding attributes, such as enhanced bioavailability, stability, and biological activity, have drawn significant attention from both researchers and industries. This comprehensive review delves into various synthetic approaches to benzimidazole synthesis, with a focus on practical and eco-friendly pathways utilizing various catalysts, including biocatalysts, nanocatalysts, and photocatalysts. Additionally, this review sheds light on the recent advancements of benzimidazole across multiple sectors, spanning pharmaceuticals, materials science, agriculture, and coordination chemistry. Finally, this work summarized the major challenges and presents potential directions for future research endeavors in benzimidazole applications within pharmaceuticals, agriculture, and industrial sectors.

Active arc suppression based MMC-HVDC DC fault adaptive reclosing

DC fault arcs continue to burn for a certain period under line residual energy (LRE) excitation, and existing DC fault reclosing has to wait for the DC arc to extinguish, resulting in a slow system recovery due to the long arc dissociation time. To address this problem, adaptive reclosing with active arc suppression (AAS) is proposed to speed up fault recovery. Firstly, a strategy is given for coordinating DC circuit breakers to quickly control the ground switch (GS) to switch between input and output states. Secondly, the positive effect of GS changing the line endpoint characteristics to achieve the AAS function on reducing the LRE content is revealed. In addition, a multiple AAS coordination method is given for different DC arc extinguishing speeds. Further, after each AAS, the voltage difference between permanent and non-permanent faults is mapped using the Pearson correlation coefficient to determine non-permanent faults. Compared with other typical reclosing, the proposed adaptive reclosing can actively shorten the arc dissociation time, reduce the power outage time to 13.5%–30%, which effectively improves the successful probability of fault reclosing, and prevents the MMC from restarting under non-permanent fault.

Melt structure of calcium aluminate-based non-reactive mold flux: Molecular dynamics simulation and spectroscopic experimental verification

In this study, a combination of molecular dynamics (MD) simulations and spectroscopic experiments was used to investigate the effect of alkali metal oxides (Na2O and Li2O) on the structure of calcium aluminate-based non-reactive mold flux. The results of the MD simulations show that Al-O bonding forms the basis of the slag structure. The increase of Y2O (Y represents Na or Li) promotes the formation of AlIV in the melt and improves the stability of the Al-O structure, while the polymerization of the melt and the complexity of the network structure show a decreasing trend. Raman spectroscopy results show that the characteristic peaks move to lower wave numbers with the increase of Y2O, and the polymerization degree and complexity of the network structure of the slag also decrease. MAS-NMR results show that there are multiple coordination states of Al3+ in the mold flux. With the increase of Y2O content, the content of AlIV and [AlO3F] in the mold flux increases, indicating that the Al-O network structure becomes more stable. The experimental results are in agreement with the MD simulation results. The findings of this work provide a detailed study for a deeper understanding of the structure and properties of non-reactive mold flux.

A Novel Adaptive UE Aggregation-Based Transmission Scheme Design for a Hybrid Network with Multi-Connectivity

With the progress of the eras and the development of science and technology, the requirements of device-to-device (D2D) connectivity increased rapidly. As one important service in future systems, ultra-reliable low-latency communication (URLLC) has attracted attention in many applications, especially in the Internet of Things (IoT), smart cities, and other scenarios due to its characteristics of ultra-low latency and ultra-high reliability. However, in order to achieve the requirement of ultra-low latency, energy consumption often increases significantly. The optimization of energy consumption and the latency of the system in the communication field are often in conflict with each other. In this paper, in order to optimize the energy consumption and the latency jointly under different scenarios, and since the detailed requirements for latency and reliability are diverse in different services, we propose an adaptive UE aggregation (AUA)-based transmission scheme that explores the diversity gain of multiple simultaneous paths to reduce the overall latency of data transmission, wherein multiple paths correspond to multiple coordination nodes. Furthermore, it could provide the feasibility of link adaptation by adjusting the path number according to the real transmission environment. Then, unnecessary energy waste could be avoided. To evaluate the performance, the energy-delay product (EDP) is proposed for the latency and energy comparison. The provided simulation results align with the numerical data. Through the analysis, it can be proven that the proposed scheme can achieve a joint optimization of latency and energy consumption to meet different types of URLLC services.

Research on Efficient Multiagent Reinforcement Learning for Multiple UAVs’ Distributed Jamming Strategy

To support Unmanned Aerial Vehicle (UAV) joint electromagnetic countermeasure decisions in real time, coordinating multiple UAVs for efficiently jamming distributed hostile radar stations requires complex and highly flexible strategies. However, with the nature of the high complexity dimension and partial observation of the electromagnetic battleground, no such strategy can be generated by pre-coded software or decided by a human commander. In this paper, an initial effort is made to integrate multiagent reinforcement learning, which has been proven to be effective in game strategy generation, into the distributed airborne electromagnetic countermeasures domain. The key idea is to design a training simulator which close to a real electromagnetic countermeasure strategy game, so that we can easily collect huge valuable training data other than in the real battle ground which is sparse and far less than sufficient. In addition, this simulator is able to simulate all the necessary decision factors for multiple UAV coordination, so that multiagents can freely search for their optimal joint strategies with our improved Independent Proximal Policy Optimization (IPPO) learning algorithm which suits the game well. In the last part, a typical domain scenario is built to test, and the use case and experiment results manifest that the design is efficient in coordinating a group of UAVs equipped with lightweight jamming devices. Their coordination strategies are not only capable of handling given jamming tasks for the dynamic jamming of hostile radar stations but also beat expectations. The reinforcement learning algorithm can do some heuristic searches to help the group find the tactical vulnerabilities of the enemies and improve the multiple UAVs’ jamming performance.

A 3D supramolecular framework-based electrochemical sensor for highly sensitive detection of ascorbic acid

A benzimidazole carboxylate ligand with multiple coordination sites has been designed by the aldimine condensation reaction of 2-pyridinecarboxal-dehyde and 3,4-diaminobenzoic acid, 2-(2′-pyridyl)-benzimidazole-6-carboxylic acid (H2pybimc), which solvothermally assembled with Ni2+ ions in the mixed solvents of H2O and n-propanol to generate a 3D supramolecular framework, {[Ni(Hpybimc)(NO3)(H2O)]}n (CP 1). The chemical composition and structure of CP 1 have been characterized in detail by various tools. Structural analysis demonstrates that the asymmetrical unit of CP 1 consists of one octahedral Ni2+ ion, one Hpybimc−, one NO3− and one coordinated water molecule. Adjacent Ni2+ ions are linked by Hpybimc− to form a 2D 3-connected ‘fes’-type topology, which further generates a 3D supramolecular architecture by hydrogen bonds and π···π stacking interactions. The carbon paste electrode (CPE) modified with CP 1 is fabricated (CPE 1) and applied for the electrochemical sensor of ascorbic acid (AA), which exhibits good linear correlation with AA in the concentration range of 5.0 × 10−4 to 7.3 mmol L−1 with the limit of detection (LOD) of 0.85 μmol L−1. Moreover, it has satisfactory stability, repeatability, and selectivity towards AA, which can be successfully used for the detections in real samples.

Experimental study of geometric error of CNC turning machine tools based on ISO 13041-6

The product quality of machining results is greatly influenced by the accuracy and precision of CNC lathe machine tools. Regular inspection of the geometric inaccuracy of the machine tool is necessary to verify its operational viability. This research contribution focuses on conducting experimental studies to evaluate machine tool geometric error. The aim is to explore cost-effective measurement methods as alternatives to direct measurements, which often involve laser interferometers and ball bar tests. The objective of this study is to investigate the geometric inaccuracy of a CNC turning machine by conducting experimental cutting tests in accordance with ISO 13041-6:2009. The testing will utilize conventional workpiece forms and requirements, including circularity features, flatness, circular features, and maybe combination features. Several geometric errors that can be acquired with this method include circularity errors, linear positional errors, and squareness errors. The cutting test for each workpiece feature of the given shape and specification requires the use of 5 specimens. Consequently, the mean value of the geometric error may be computed. The geometric error value is derived by the analysis of measurement data collected from a Coordinate Measuring Machine (CMM) applied to a specimen of the machined workpiece. Moreover, the evaluation of the geometric error condition of machine tools is ascertained through the comparison of the average data for each category of geometric error against the permissible standard values given in ISO 10791-2, ISO 10791-4, and ISO 13041-4. The findings of the study indicate that the implementation of the object machine study is not viable for the production of machined workpieces of satisfactory quality. This is primarily due to the presence of geometric errors in CNC turning that exceed the acceptable tolerance levels. Specifically, these errors manifest as linear positional deviations along multiple coordinates along the X-axis and Z-axis, as well as squareness deviations between the X-axis and Z-axis. The maximum value of the linear positional error along the X-axis is 55.2 μm, while the maximum value of the linear positional error along the Z-axis is 25.6 μm. Additionally, the greatest observed squareness error is 37.3 μm. The X and Z machine axes exhibit deviations beyond acceptable limits in terms of unidirectional accuracy and unidirectional repeatability, as per the established norm

Rationally Designing High-Performance Versatile Organic Memristors Through Molecule-Mediated Ion Movements.

Organic memory have attracted tremendous attention for next-generation electronic elements for the molecules' strikingly ease of structural design. However, due to their hardly controllable and low ion transport, it is always essential and challenge to effectively control their random migration, pathway and duration. There are very few effective strategies, and specific platforms with a view to molecule with specific coordination groups-regulating ions have been rarely reported. In this work, as a generalized rational design strategy, w e introduced the well-known Tetracyanoquinodimethane (TCNQ) with multiple coordination groups and small plane structure into stable polymers framework to modulate the Ag migration and then achieved the high performance devices with ideal productivity, low operation voltage and power, stable switching cycles and state retention. Raman mapping demonstrated that the migrated Ag can specially coordinate with the embedded TCNQ molecules. Notably, w e can modulate the TCNQ molecule distribution inside the polymer framework and regulate the memristive behaviors through controlling the formed Ag conductive filaments (CFs) as demonstrated by the Raman mapping, in-situ C-AFM, XRD and depth-profiling XPS. Thus the controllable molecule-mediated Ag movements show its potential in rationally designing high performance devices and versatile functions and is enlightening in constructing memristors with molecule-mediated ion movements. This article is protected by copyright. All rights reserved.

Tensorial-formulation-based method for modeling of flight dynamics with generalized coordinates

For the sake of minimizing fuel consumption, a rocket typically keeps flying in or near a plane specified by the Earth's center, launch pad, and orbit-insertion point, where the plane is called the Reference Flight Plane (RFP) here. To facilitate trajectory analysis, a series of generalized position and velocity coordinates are defined based on the RFP. To develop the Ordinary Differential Equations (ODEs) of the generalized coordinates, a novel dynamics modeling method based on tensor theory is proposed. As the first step of the new method, the rotating Earth is taken as the reference frame and a flight dynamics model described by orthogonal coordinates is developed. Then, according to the definitions of the generalized coordinates, two special curvilinear coordinate systems are put forward, and the relationships between the curvilinear and orthogonal coordinate systems are found. Finally, skillfully using the relationships as well as tensor theory, the dynamics model for the orthogonal coordinates are transformed into that for the generalized coordinates. The benefit of the new method is that it can derive the ODEs of multiple coordinates simultaneously because it is entirely based on matrix operations. By contrast, the traditional modeling methods from Newtonian mechanics and analytical mechanics need to use the infinitesimal approach to develop the equation of each generalized coordinate one by one, which may result in a large amount of repeated derivation. Therefore, the new method has higher efficiency in developing flight dynamics model described by generalized coordinates, and helps to prevent mistakes in derivation.

Site-Selective Ligand Bridging among Multiple Internal Coordination Sites of a Metallomacrocycle and Its Conformational Regulation.

Metallomacrocycles with internal coordination sites have a high potential to precisely control the positions of the guest ligands and the overall shape of the assemblies by utilizing the directionality and reversibility of the coordination bonds. However, when such coordinative hosts possess multiple coordination sites, it was difficult to control to which coordination sites the incoming guest ligands bind, because such systems often result in a random, uncontrolled mixture. The metallomacrocycle that we now report, a hexanuclear palladium complex of hexapap possessing six internal coordination sites, can take two different conformations depending on the guests. One is an Alternate conformation, in which six coordination sites of pap alternatively point to Up-Down-Up-Down-Up-Down. The other is a Twisted conformation, in which the coordination sites direct Up-Middle-Down-Up-Middle-Down. Interestingly, linear ditopic α,ω-diamines are captured in three distinct cross-linking modes, and regulations between the two macrocyclic conformations have been realized by the lengths of the diamines. Furthermore, the heteroleptic site-selective bridging of two kinds of diamines has been achieved. It has been demonstrated that a slight difference in the diamine lengths leads to a significant change in the structure and selection of the produced host-guest macrocyclic complexes.

Optimization of Residential Electricity Consumption based on Multienergy Coordinated Control of Generation, Load, and Storage

Introduction: The power system is translating to the “generation, network, load, and storage multiple coordination control” model, which helps to increase the proportion of renewable energy consumption and reduce the operation cost. Materiala and Methods: The residential electrical system is an important component in the power system, which includes distributed photovoltaic systems, flexible loads, electric vehicles, and battery storage systems, which have the potential to realize multiple coordination control and minimize the net cost of the electricity consumption in a residential electrical system by the coordinated cooperation of generation, flexible loads, and the battery storage system. The comfort level of the residents is also maintained during control. Therefore, a nonlinear economic model is introduced to represent coordinated cooperation of generation, flexible loads, and the battery storage system, and a nonlinear economic predictive controller is proposed to solve the problems of this model. Results: Based on the forecasted generation/load for a tumbling prediction window, the impact of different control trajectories is estimated, then the minimum cost trajectory for flexible loads and battery is selected, and only the first control action is implemented. Then, the prediction window is moved to the next time interval, and the same process is repeated. The case study shows that the proposed method reduces about 24.36% of the net cost of the residential electrical system. Conclusion: Meanwhile, the hot-water temperature and indoor temperature of the household are maintained without affecting the end-user comfort, and the state-of-charge (SOC) for the electric vehicle and the battery system is always kept under constraints without affecting usage. The proposed method has a good performance for the coordinated cooperation of generation, flexible loads, and battery storage system in the residential electrical system. The proposed method also increases the consumption of PV, with the implementation in more residential buildings that will benefit in achieving carbon neutrality by 2060 in China.

Multistage orbital hybridization induced by multisite exchange interactions in high-entropy perovskites for high oxygen evolution reaction

The oxygen evolution reaction (OER) has garnered considerable attention because of its promising prospects in electrochemical energy conversion applications, but a significant challenge is faced by the insufficient understanding of sluggish OER kinetics. In fact, the intrinsic “acceptance-donation” process of electrons between active sites and reactants is responsible for improving OER activity. Herein, we suggest a multielement hybridization strategy to rematch spin electron occupation and energy splitting in high-entropy perovskites with multiple orbital coordination. In this concept, electronic hopping between t2g and eg orbitals among particular catalytic sites can be obviously enforced due to introducing more favorable energy levels from neighboring metal sites, which can demonstrate multistage orbital hybridization reaction activity. As a result, our proposed multistage-hybridized high-entropy perovskites display an impressive activity of 199.8 mA cm−2 as an overpotential of ∼0.46 V, which is ∼5.3 times that of pristine perovskite. Different from traditional catalyst designs, this study focuses on multistage orbital hybridization and electron exchange interactions through a multisite coordination mechanism to construct a fast reaction pathway. Our findings provide a new strategy for accelerating OER catalytic kinetics.

A Behavior-based Adaptive Dynamic Programming Method for Multiple Mobile Manipulators Coordination Control

A Behavior-based Adaptive Dynamic Programming Method for Multiple Mobile Manipulators Coordination Control

Cation migration in siliceous CHA probed with DFT simulation and its catalytic implication

The migration or diffusion of cations in siliceous CHA with an approximate Si/Al ratio of 11 has been investigated to explore the impact of their location on catalytic performance, using DFT simulation. The migration of protons within the CHA cage and the resulting total energy were calculated to determine the activation energy for this migration. As the distance between the Al site and the nearby framework oxygen decreased, the activation energy for site-to-site migration decreased as well. Eventually, the proton was stabilized near the Al site, where the activation energy for reverse migration reached its maximum at 1.60 eV. The migration of Na cations and Cu cations was also examined. The activation energy for Na cations was only 0.49 eV, which can be attributed to multiple coordination and explains the facile migration. On the other hand, Cu+2 migration had an activation energy of 1.56 eV, while Cu+1 migration had an activation energy of 1.06 eV. Consequently, under the given reaction conditions, the facile migration of the catalytic component Cu+1 can be expected. Thus, CHA containing Na cations exhibits improved low-temperature activity in NH3 SCR, despite the potential for thermal degradation at high temperatures.

Mechanically robust waterborne polyurethane with excellent room temperature self-healing and shape memory performance

Achieving severe damage restoration and the ideal combination of good mechanical properties and healing efficiency are two significant challenges for self-healing materials. In this study, a series of shape-memory, self-healing aqueous polyurethane (SMPU) were synthesized based on the molecular self-assembly design of 5-(2-hydroxyethyl)-6-methyl-2-aminuracil (HMA), 4-aminopyridine (4-APD) and polycaprolactone diol (PCL) moieties. The effects of HMA and 4-APD on mechanical properties, self-healing properties, and shape memory properties of SMPU were investigated. The dynamic crosslinking network generated by quadruple hydrogen bonds and multiple coordination bonds not only consumed strain energy but also promoted rapid re-formation after fracture, resulting in superior self-healing ability (healing efficiency 96.3%), excellent mechanical properties (tensile strength 39.1 MPa and elongation at break 908%) and recyclable capabilities of SMPU. Meanwhile, the SMPU showed a noteworthy shape memory effect; its shape fixation rate and recovery rate could reach 99% and 98%, respectively. The temperature and time dependence of the self-healing process were studied by molecular dynamics (MD), and the self-healing mechanism was clarified further. When SMPU was used for leather finishing, the finished and self-healing samples exhibited excellent wear resistance (wear rating: 4 ∼ 5). These advantageous properties endow SMPU with great potential applied value in leather and other regions.

Ukrainian refugee crisis management in the Local Health Authority Roma 1: the challenges of implementing public health policies and lessons learned

BackgroundThe conflict between Russia and Ukraine has strained the health systems of countries that welcome war refugees on all levels, from national to local. Despite the Public Health guidelines regarding assistance being published on the topic, the scientific literature currently lacks evidence on the experience of applying theory in practice. This study aims to describe evidence-based practices that were implemented and to provide a detailed description of emerging problems and solutions pertaining Ukrainian refugee assistance in the context of one of the biggest Local Health Authorities in Italy (LHA Roma 1).MethodsLHA Roma 1 developed a strategic plan based on local expertise, national and international guidelines to ensure infectious disease prevention and control, as well as continuity of care for non-communicable diseases and mental health.ResultsThe insertion of Ukrainian refugees in the National Health System through an identification code assignment and other services such as COVID-19 swab and vaccination were provided either in one of the three major assistance hubs or in local district level ambulatories spread throughout the LHA. Many challenges were faced during the implementation phase of the outlined practice guidelines, which required sensible and timely solutions. These challenges include the necessity of rapid resource provision, overcoming linguistic and cultural barriers, guaranteeing a standard of care across multiple sites and coordination of interventions. Public Private Partnerships, the creation of a centralized multicultural and multidisciplinary team and the mutually beneficial collaboration with the local Ukrainian community were essential to guarantee the success of all operations.ConclusionsThe experience of LHA Roma 1 helps shed light on the importance of leadership in emergency settings and how a dynamic relationship between policy and practice would allow each intervention to be modulated according to the local environment, to better realize the potential of local realities to provide appropriate health interventions to all those in need.

Distributed Coordination of Space–Ground Multiresources for Remote Sensing Missions

As data relay satellites (DRSs) play an increasingly important supporting role in remote sensing missions, efficient coordination across space–ground multiresources becomes a significant problem. Owing to the implementation problem of the centralized coordinate methods, this paper studies a distributed coordinate resource scheduling method which is realizable in the current space network structure. To be specific, we first formulate the multiple resource coordination problem into an MILP problem based on a modified time-expanded graph. Then, the problem is transferred and decomposed into subproblems for remote sensing satellite (RSS) systems and DRS systems to solve distributedly. Afterwards, we propose a distributed iterative scheme for the RSS systems and DRS systems based on alternating direction method of multipliers (ADMM), in which only the schedule information of the inter-satellite links are required to exchange between RSS systems and DRS systems. Simulation results are provided to validate the effectiveness of our distributed coordinated resource scheduling algorithm.