Coordination Model Research Articles

Construction of a Shared Decision-Making Model Between Doctor and Patient in China Based on Selection Preferences

Influenced by Confucian values, China’s medical decision-making emphasizes a family-centric and harmonious approach, contrasting with Western practices that highlight individual autonomy. However, there’s a global shift towards “patient-centered” care, promoting shared decision-making (SDM) between healthcare practitioners and patients. This study aims to advance the SDM model in China by analyzing the alignment in decision-making between doctors and patients. The focus is on addressing the absence of quantitative tools for SDM coordination. An SDM coupling coordination model was developed, and the coordination level was assessed using data from questionnaires filled by 210 doctors and 248 patients from three prominent Chinese hospitals. Doctors’ and patients’ preferences were categorized into four areas: treatment efficacy, cost considerations, potential side effects, and overall treatment experience. The coordination degrees, represented by “D values,” for these areas were 0.6375, 0.5299, 0.5704, and 0.4586, respectively. A higher “D value” signifies better alignment between doctors and patients. Treatment efficacy showed the strongest alignment, followed by costs and side effects, while treatment experience had the least alignment. In conclusion, the alignment in doctor–patient SDM in China is currently not optimal. Improvements necessitate a foundational “patient-first” approach in SDM, an emphasis on optimization in collaborative strategies, and the establishment of a comprehensive platform for collaboration and coordination in SDM.

Appearance-Pose Joint Coordinates Information Collaboration Model for clothes-changing person re-identification

Clothes-changing person re-identification (CC-ReID) is of great importance in the field of intelligent surveillance as it can be used to help police officers find criminals who want to evade pursuit by changing clothes. Currently, the best-performing algorithm overly emphasizes discriminative information in appearance, which limits the generalization capability of CC-ReID. In this paper, we innovatively propose an Appearance-Pose Joint Coordinate Information Collaboration Model (AP-ICM), which further enhances the generalization capability of the CC-ReID method. FIRST, the pose joint coordinates, a novel auxiliary information that encodes the body shape, is introduced. Compared to the existing auxiliary information ( i.e. contour sketches, human masks, heatmaps) used to encode body shape, it avoids the interference of changes of clothing shape and the interference from areas unrelated to the joints, thus the model can learn discriminative information from the body shape more efficiently. Experiments demonstrate that the pose joint coordinates is more effective than these existing auxiliary information in assisting the model to learn discriminative information from the body shape. THEN, a novel Second-order Structural Information is designed to help the model learn the discriminative information from the pose joint coordinates more easily, thus improving the generalization capability. Experiment demonstrate that the Second-order Structural Information is effective in enhancing generalization capacity. NEXT, a novel Semantic Representation endows the model with the ability to understand semantic differences between joints, so that the model can learn features more accurately during training, which in turn makes it easier to acquire strong generalization capability. Experiment demonstrate that the Semantic Representation is effective in enhancing generalization capacity. FINALLY, by adopting a Information Collaboration Module, we successfully integrate discriminative information extracted from the pose joint coordinates into the best-performing algorithm. Experiments demonstrate that our AP-ICM achieves Rank-1 of 68.50% and 82.90% on two generic CC-ReID datasets, PRCC and VC-Clothes, respectively, outperforming the best-performing algorithm by 2.30% and 2.90%, respectively.

Relationship between Climate-Shaped Urbanization and Forest Ecological Function: A Case Study of the Yellow River Basin, China

Amidst the compounded challenges posed by global climate change and urbanization on forest ecosystems, the integration of urbanization control measures within a climate-focused framework may offer an avenue for breakthroughs. This study delves into the impact of climate, specifically hydrothermal conditions, on the complex interplay between urbanization (Urb) and forest ecological function (Eco) in the Yellow River Basin (YRB) in China. Our findings reveal: (1) The application of a coupled coordination model reveals a stronger alignment between urbanization and forest ecological function in the warm and humid regions in the YRB. (2) Through the cross-sectional threshold regression model, we elucidate the diverse responses of Urb to Eco across varying climate gradients. Among them, annual precipitation shows a double-threshold effect at 532.34 mm and 694.18 mm. As precipitation increases, the impact of Urb shifts from negative to positive on Eco. Moreover, in regions with precipitation below 532.34 mm and above 694.18 mm, the absolute value of response coefficients of Eco to Urb is amplified. Annual average temperature displays a single-threshold effect at 10.11 °C, leading to a transition from negative to positive impact as temperature rises. This study establishes the climate-based threshold system that governs the urbanization–forest ecological function relationship.

Evaluation of sustainable development of the Bohai Sea Rim based on integrated land–sea management: a multi-system coupling and coordination study at coastal, provincial, and city level

Based on the Integrated Land–Sea Management, this study established a theoretical framework for the sustainability of coastal regions by combining sustainable development with coupling coordination theory. The improved coupling coordination model was used to analyze the sustainable development of the Bohai Rim and its coastal provinces and cities from 2006 to 2020. Our implications were as follows: (1) The theoretical framework showed an S-shaped spiral trend, and the empirical results on the Bohai Rim were consistent with the trajectory conclusions. (2) The economic subsystem played a crucial role in the system’s evolution toward sustainable development. (3) The region and city models demonstrated consistent coupling and coordination development degrees. However, the consistency was not completely synchronous. Conscious eco-environmental governance activities can promote benign interactions among systems and improve this relationship. (4) The sustainable development of coastal cities is different from that of the provinces in which they are located. It merely demonstrates their relative status among all coastal cities and does not fully represent the wider region in which they are located. The findings suggest that adaptive policies, whether economic, social or environmental, can promote sustainable development. Economic stimulus policies can promote a transition of sustainable development; in the economic downturn, the adaptive environmental policy is realized by adjusting the relationship between subsystems to promote the coordination of regional systems, preparing for the next sustainable system transition. The established theoretical model and improvised mathematical method can be extended to study various coastal regions

Study with agricultural system resilience and Agro‐ecological efficiency synergistic evolutionary in China

AbstractUsing the Haken model to explore the synergistic evolutionary characteristics and competition trends of agricultural resilience and eco‐efficiency can establish a theoretical foundation for achieving high‐quality and sustainable agricultural development. The traditional Haken model cannot address the issue of the lack of directionality in synergy values, but incorporating the tendency theory of the coupling coordination model into the Haken model can solve this problem, thus establishing propensity synergistic Haken model to give values directionality. Established a more comprehensive evaluation system for China's agricultural resilience. Measuring agricultural system resilience in China's 31 provinces and cities from 2001 to 2021. The synergistic values between agricultural resilience and eco‐efficiency were measured by the improved Haken model. Results show that: (1) Agricultural resilience exhibits a stable upward trend, but the overall level is low. Regional differences have been increasing over time. (2) Eco‐efficiency is the sequential covariate of synergistic evolution by the two systems. The overall synergy level between agricultural system resilience and eco‐efficiency is higher. (3) Considering the “propensity synergistic,” the overall change from low‐level benign synergy to high‐level benign synergy between agricultural resilience and eco‐efficiency in China. (4) The propensity synergy Haken model can compensate for the directionality‐lack problem of the traditional Haken model synergy value.

Spatio-temporal divergence and influencing factors of agritourism integration development in Xinjiang, China

Exploring the coupling and coordination relationship between agriculture and tourism industry plays an important role in formulating differentiated integration development policies and promoting regional economic development. We adopt 14 prefectures and cities in Xinjiang, China as examples, and use a coupling coordination model and generalized method of moments estimation to explore the spatial differentiation characteristics and influencing factors between agriculture and tourism industries in various prefectures and cities in Xinjiang from 2009 to 2018. The results indicate: (1) The combined development levels of agriculture and tourism in Xinjiang exhibited a similar development trend over the period, and despite fluctuations in individual years, the overall trend is still increasing. (2) The coupling degree and coordination of agriculture and tourism in various regions presented significant spatial differentiation characteristics. (3) Human capital, residents’ consumption level, and coupling coordination degree are positively correlated, while service capacity, government support, industrial foundation, and market supply and coupling coordination degree are significantly negatively correlated. Finally, based on our results, we present corresponding suggestions on how to improve the level of integrated development of agriculture and tourism in Xinjiang.

A coordination model for closed-loop supply chain systems with a single manufacturer and retailer

This paper develops a coordination model for a closed-loop supply chain (CLSC) system consisting of a single manufacturer and retailer where market demand depends on the green technology level, retailer’s selling price, and promotional efforts. The manufacturer manufactures products from raw materials to finished products and adapts them for sale to meet key market demands. Used products from consumers will be returned to the retailer to be processed by remanufacturing under a technology license, and the rest will be returned to the manufacturer for remanufacturing, refurbishing, recycling, or waste disposal. The models are formulated mathematically and constructed under three scenarios – centralized, decentralized, and a Stackelberg game led by the manufacturer. Numerical examples are given to illustrate the results of the developed model. The result suggests that both types of investment can assist the closed-loop supply chain in enhancing its financial and environmental performance. It also suggests that lowering emissions levels through green technology might increase product selling prices, hence increasing sales volume.

Spatial coupling relationship between older adults and elderly care resources in the Yangtze River Delta.

The imbalance between supply and demand of elderly care resources in the Yangtze River Delta is increasing. By the older adult agglomeration, spatial cluster analysis, hotspot analysis, and coupling coordination model, this study explores the spatial coupling relationship between older adults and elderly care resources in the Yangtze River Delta in 2020 from the perspective of a supply-and-demand balance. The results demonstrate that: (1) population aging is mainly in the moderate aging stage, followed by the primary aging stage; (2) there are significant spatial differences in elderly care resources on the urban scale in the Yangtze River Delta; and (3) elderly care resources and the older adults in the Yangtze River Delta are mostly highly coupled. However, Nantong, with the highest degree of aging, has a serious mismatch in life service resources and ecological environment resources. The social security resources and medical resources of provincial capital cities with low aging are mismatched. Medical and health resources in underdeveloped areas are seriously mismatched. The social security resources are barely matched in Shanghai. A path for optimizing the spatial allocation of elderly care resources is proposed. This research offers a decision-making reference for coordinating elderly care resources distribution.

Can grain production be synergistic with socioeconomic development?—Empirical evidence from the agro-pastoral ecotone in North China

PurposeGrain production is an important foundation for economic development and social stability. Studying the interaction characteristics and influence mechanism between grain production and socioeconomic development is beneficial for promoting economic development and improving people’s well-being. MethodsBased on the water and carbon footprint perspective, this study first uses the Super-SBM model to measure the green production efficiency of grain in the agro-pastoral transition zone in North China from 2000 to 2020. Second, the theoretical logic of the synergy between grain production and socioeconomic development is established and the PVAR model is applied to verify the interaction. Third, the synergistic level is measured using the coupling coordination model. Finally, its dynamic evolution, regional differences and influencing factors are analysed by using kernel density estimation, the Dagum coefficient decomposition and the GTWR model. ResultsThe results show that ① The green production efficiency of grain first decreases and then increases, and the value is generally stable at approximately 1. ② The coupling coordination level shows an upwards trend of fluctuation; it moves from the mildly dissonant to the barely coordination stage, and many regions belong to the rich grain and poor area. ③ The regional differences show an overall decreasing trend, and the main source is intraregional differences. Environmental regulation has the greatest negative influence on the spatial and temporal divergence of coupling coordination, followed by the positive influence of urbanization.

Evaluation of the coupling and coordination degree of eco-cultural tourism system in the Jiangsu-Zhejiang-Shanghai-Anhui region

This study aimed to reveal the interactions and coordination between culture, ecology, and tourism. Using the Jiangsu, Zhejiang, Shanghai, and Anhui (JZSA11JZSA: Jiangsu, Zhejiang, Shanghai, and Anhui region is located in eastern China downstream of the Yangtze River.) region of China as the study area, we constructed an eco-cultural tourism system evaluation index system, calculated the coupling and coordination degree (CCD22CCD: Coupling and coordination degree.) of the eco-cultural tourism system using the coupled coordination model, and identified the influencing factors using the obstacle degree model. The findings show that the CCD of the JZSA region continuously improved from 2009 to 2019 and reached an intermediate coordination level in 2019. However, there was still an obvious regional divergence effect. Culture and ecology are significant obstacles to the CCD of eco-cultural tourism systems. From the perspective of the development and evolution of influencing factors, ecological and tourism factors have increasingly negative effects. Therefore, ecological and tourism development should be considered in the future.

To coordinate or not? A configurational approach to understand public organizations' emergency preparedness coordination

AbstractWith increasing hazard risks, coordinating public agencies to address emerging threats has become a pressing challenge for public administration. However, little empirical research explores why some public organizations actively coordinate with others in preparation for future crises while others do not. The related research relies on correlation‐based approaches and generates inconclusive findings. To further extend current inquiry, this study takes a configurational approach and examines which configurations of organizational attributes—and environmental characteristics—lead to emergency preparedness coordination. A configurational model for emergency preparedness coordination is proposed along with three propositions. We conducted a large‐N fuzzy‐set QCA to examine U.S. public transit agencies' interorganizational coordination in preparation for the extreme weather events. Findings demonstrate that it is the configurations rather than individual attributes that are essential for active preparedness coordination. Both top‐down and bottom‐up mechanisms can achieve active coordination and managerial commitment is a critical contingency factor.

Evaluation of the Coupling Synergy Degree of Inland Ports and Industries along the Yangtze River

This paper takes the two subsystems of inland ports and industries along the Yangtze River as a composite system as a research object, providing insight into the influence of the development efficiency of inland ports along the Yangtze River and the coupling and synergy degree of industry. Firstly, the coupling synergy effect of the inland port industry is qualitatively expounded, and secondly, the entropy weight TOPSIS method is used to construct a coupling coordination model to analyze the measurement of the development efficiency and industrial coupling synergy relationship between inland ports along the Yangtze River. Twelve cities along the Yangtze River were selected as examples, the coupling synergy degree of their ports was evaluated by referring to the comprehensive port development synergy index from 2010 to 2019, and the development levels and evolution processes of the different cities were compared and analyzed. The coupling synergy development of the inland port industry along the Yangtze River can provide a basis for the problems and countermeasures faced by the integrated development of the inland port industry along the Yangtze River.

Improved Genetic Algorithm Based on Oscillation Factor to Solve the AUV Path Planning Problem

In this paper, the bi-objective AUV path planning problem considering the shortest path and the minimum path smoothness is studied. Firstly, a mathematical model of the problem is established and a two-dimensional Cartesian coordinate system model is used to model the AUV working environment. Then the dual objective is normalized and transformed into an adaptation function by dimensionality reduction. An improved Genetic Algorithm is proposed to solve the problem according to its characteristics. An initial solution generation strategy for the n-1 equipartition method based on the improved oscillation factor is designed, and an elite retention strategy with simulated annealing operation is introduced to improve the genetic strategy. To verify the effectiveness of the improved algorithm in this paper, simulation experiments were conducted by the Microsoft Visual Studio platform. After the comparison and analysis of the three algorithms, the algorithm proposed in this paper has shorter and smoother paths, faster convergence speed, and more obvious advantages in the quality of the solution.

Review of Carbon Support Coordination Environments for Single Metal Atom Electrocatalysts (SACS).

This topical review focuses on the distinct role of carbon support coordination environment of single-atom catalysts (SACs) for electrocatalysis. The article begins with an overview of atomic coordination configurations in SACs, including a discussion of the advanced characterization techniques and simulation used for understanding the active sites. A summary of key electrocatalysis applications is then provided. These processes are oxygen reduction reaction (ORR), oxygen evolution reaction (OER), hydrogen evolution reaction (HER), nitrogen reduction reaction (NRR), and carbon dioxide reduction reaction (CO2 RR). The review then shifts to modulation of the metal atom-carbon coordination environments, focusing on nitrogen and other non-metal coordination through modulation at the first coordination shell and modulation in the second and higher coordination shells. Representative case studies are provided, starting with the classic four-nitrogen-coordinated single metal atom (MN4 ) based SACs. Bimetallic coordination models including homo-paired and hetero-paired active sites are also discussed, being categorized as emerging approaches. The theme of the discussions is the correlation between synthesis methods for selective doping, the carbon structure-electron configuration changes associated with the doping, the analytical techniques used to ascertain these changes, and the resultant electrocatalysis performance. Critical unanswered questions as well as promising underexplored research directions are identified.

Comprehensive evaluation of water resources carrying capacity in Henan Province based on entropy weight TOPSIS - coupling coordination - obstacle model.

This study aims to investigate the water resource carrying capacity (WRCC) of Henan Province, identify its main obstacles, and provide suggestions for optimizing its WRCC. The article constructs a WRCC evaluation system with 20 indicators for the four subsystems of water resources, economy, society, and ecology based on literature and the actual situation of Henan Province. The entropy weighted TOPSIS method is used to calculate the WRCC of Henan Province from 2005 to 2021. The coupling coordination model is used to explore the degree of coupling coordination among internal systems, while the obstacle model is used to study its restrictive influencing factors. The study found that (1) the WRCC fluctuated in a U-shaped pattern around 0.5 during the study period; (2) the coupling and coordination degree of each subsystem is generally good, except for 2012 and 2013, which showed basic coordination; (3) currently, the main obstacles to the WRCC are ecosystems and water resources. The main indicators are afforestation area, proportion of the tertiary industry, fertilizer usage, and urban sewage treatment rate. Therefore, Henan Province should take measures such as reducing fertilizer usage, standardizing urban sewage treatment, improving water efficiency, and optimizing industrial structure to optimize its WRCC and promote comprehensive utilization of water resources.

BEhavioral Health Stratified Treatment (B.E.S.T.) to optimize transition to adulthood for youth with intellectual and/or developmental disabilities

Youth with intellectual and/or developmental disabilities (IDD) often struggle with depression and anxiety, which adversely impacts transition to adulthood. Integrated behavioral health care coordination, wherein care coordinators and behavioral health specialists collaborate to provide systematic, cost-effective, patient-centered care, is a promising strategy to improve access to behavioral health services and address factors that impact transition to adulthood, including depression/anxiety symptoms. Current care coordination models (e.g., Title V Maternal and Child Health Bureau [MCHB]) do not include behavioral health services. The CHECK (Coordinated HealthCarE for Complex Kids) mental health model, hereby refined and renamed BEhavioral Health Stratified Treatment (B.E.S.T.), is a behavioral health intervention delivery program designed for integration into care coordination programs. This study aims to determine whether an integrated behavioral health care coordination strategy (i.e., MCHB care coordination plus B.E.S.T.) would be more acceptable and lead to better youth health and transition outcomes, relative to standard care coordination (i.e., MCHB care coordination alone). Results would guide future investment in improving outcomes for youth with IDD.This study is a two-arm randomized clinical trial of 780 transition-aged youth with IDD (13–20 years) to evaluate the comparable efficacy of MCHB Care Coordination alone vs. MCHB Care Coordination plus B.E.S.T. on the following outcomes: 1) decreased symptoms and episodes of depression and anxiety over time; 2) improved health behaviors, adaptive functioning and health related quality of life; 3) increased health care transition (HCT) readiness; and 4) improved engagement and satisfaction with care coordination among stakeholders.

Self-training based augmented reality for robust 3D object registration and task assistance

Typical augmented reality (AR) technologies superimpose virtual information onto the real environment for task guidance and assistance by tracking fiducial markers. However, these have narrow recognition ranges due to the markers, and it is difficult to track markers when occlusion occurs. Therefore, it is challenging to seamlessly register real objects in AR scenes captured by the camera without requiring fiducial markers. Deep learning–based approaches to 3D object registration and task assistance have recently indicated promising directions for superimposing 3D virtual objects onto corresponding real objects or their surroundings seamlessly. However, since supervised learning-based object registration requires many pose annotations on images for the locations and orientations of real objects, this process is a time-consuming and labor-intensive task. Thus, this paper proposes a new self-training based augmented reality method for seamless real object registration and task assistance without time-consuming pose annotations. As the industrial components or objects have their 3D geometric models, the proposed approach utilizes them as their synthetic data. The automatically generated synthetic dataset is used for training the deep learning model, which outputs a colored coordinate map of objects to be detected. 2D–3D key point matching between the 2D colored coordinate map and 3D colored coordinate model is then performed for 3D object registration in an AR environment. In particular, self-training is performed for fine-tuning the deep learning model by generating pseudo-labels with the highest probability for mask intersection over union (IoU) in the unlabeled real object dataset. We compared the proposed approach with previous studies to confirm its effectiveness and advantages. Also, we performed ablation studies by training a custom dataset based on various industrial 3D virtual models. Finally, we present AR-based task guidance and assistance, such as industrial robot manipulation.

Psychophysical measurement of perceived motion flow of naturalistic scenes

The neural and computational mechanisms underlying visual motion perception have been extensively investigated over several decades, but little attempt has been made to measure and analyze, how human observers perceive the map of motion vectors, or optical flow, in complex naturalistic scenes. Here, we developed a psychophysical method to assess human-perceived motion flows using local vector matching and a flash probe. The estimated perceived flow for naturalistic movies agreed with the physically correctflow (ground truth) at many points, but also showed consistent deviations from the ground truth (flow illusions) at other points. Comparisons with the predictions of various computational models, including cutting-edge computer vision algorithms and coordinate transformation models, indicated that some flow illusions are attributable to lower-level factors such as spatiotemporal pooling and signal loss, while others reflect higher-level computations, including vector decomposition. Our study demonstrates a promising data-driven psychophysical paradigm for an advanced understanding of visual motion perception.

Dynamic coupling coordination and spatial–temporal analysis of digital economy and carbon environment governance from provinces in China

Research on digital economy (DE) and carbon environment governance (CEG) holds paramount importance in attaining sustainable development objectives. By focusing on 30 provinces within China as specific instances, this research constructed a comprehensive evaluation framework to assess the overall progress of DE and CEG from 2011 to 2020. Moreover, it employed a coupling coordination model alongside spatio-temporal evolution patterns to examine the state of coupling coordination development (CCD) and the temporal and spatial features within DE-CEG. First, the overall levels of China's DE and CEG were both showing an upward trend, with the average level of CCD improving year by year. The spatio-temporal arrangement exhibited a distinctive “bell-shaped” pattern, characterized by narrow at both ends, wide in the middle. The average level of CCD in three major regions was east, central and west followed a descending order, underscoring notable spatial and temporal disparities within the DE-CEG. Second, kernel density estimation and exploratory spatial data analysis substantiated the spatio-temporal differentiation for the CCD within DE-CEG. Notably, these analyses unveiled prevailing spatial patterns of “high-high” and “low-low” agglomeration, spatial agglomeration effect became significant over time. Finally, among the absolute differences, the central region exhibited the least disparity, while the western region displayed the greatest variation, with absolute differences undergoing a fluctuating trajectory. Among the relative differences, the most pronounced contrast was observed between the eastern and western regions, whereas the disparities between the central-east and central-west regions were comparable. Remarkably, relative differences accounted for over 40% of the total variation, emerging as the predominant contributor to the overall divergence in CCD within China's DE-CEG framework. Consequently, it is imperative for future developmental efforts to focus on diminishing the relative disparities among regions. In light of the research findings, a set of strategies and recommendations had been formulated to propel the CCD of China's DE and CEG.

Financing community partnerships for health equity: Findings and insights from cross-sector professionals.

To enhance understanding of financial alignment challenges facing cross-sector partnerships (CSPs) pursuing health equity and offer insights to guide research and practice. We collected data through surveys and interviews with cross-sector professionals in 16 states, 2020-2021. We surveyed 51 CSP leaders and received 26 responses. Following administration of the surveys to CSP leaders, we also conducted interviews with cross-sector professionals. The data are analyzed descriptively, comparatively, and qualitatively using thematic analysis. For quantitative survey data, we compare partnership responses, differentiating perceived levels of alignment among partnerships certified by the Pathways Community HUB Institute (PCHI), partnerships interested in certification, and partnerships without connection to the PCHI® Model of care coordination. For interviews, we engaged CSP professionals and those who fund their work. Two research team members took notes for interviews, which were combined and made available for review by those interviewed. Data were analyzed independently by two team members who met to integrate, identify, and finalize thematic findings. Our work supports previous findings that financing is a challenge for CSPs, while also suggesting that PCHI-certified partnerships may perceive greater progress in financial alignment than others. We identify four major financial barriers: limited and competitive funding; state health service delivery structures; cultural and practice divides across healthcare, social service, and public health sectors; and needs for further evidence of cross-sector service impacts on client health and costs. We also offer a continuum of measures of financial sustainability progress and identify key issues relating to financial incentivization/accountability. Findings suggest a need for public policy reviews and improvements to aid CSPs in addressing financial alignment challenges. We also offer a measurement framework and ideas to guide research and practice on financial alignment, based on empirical data.