Coordination Problems Research Articles

The Contestation of National Adaptation Policies in Indonesia

Indonesia actively supports the United Nations Framework Convention on Climate Change to achieve the Global Goal on Adaptation by setting ambitious climate change adaptation pledges in its Nationally Determined Contributions. This paper explores the implementation of those adaptation commitments within a polycentric governance structure in Indonesia. There is a debate about whether polycentric institutions help or hinder the effectiveness of adaptation outcomes. The question remains, why is the implementation of climate change adaptation policies in Indonesia ineffective? This paper argues that the contestation between the National Development Planning Agency and the Ministry of Environment and Forestry, as two dominant ministries in adaptation, has beset the polycentric structure of adaptation governance in Indonesia and resulted in ineffective adaptation policy implementation. Moreover, the polycentric adaptation governance is ineffective because Indonesia is still facing problems in coordination, collaboration, policy learning, leadership, resource distribution, and dispersion of power.

Studying a cylindrical moving boundary problem in ductal carcinoma in situ

In this paper, a mathematical model of ductal carcinoma in situ (DCIS) is considered as a moving boundary problem in cylindrical coordinates. Using the front-fixing technique, first, we transform the problem into a nonlinear parabolic problem on a fixed domain, and then some essential properties of the solution, such as the uniqueness of the solution, are shown. A numerical approach based on the finite difference method is established for solving the fixed domain problem. The solvability of the proposed finite difference method is proved, and the stability and convergence of the numerical solution are shown. For a test case problem, analytical and numerical results are compared to demonstrate the ability and effectiveness of the numerical method.

Decentralization of Power: Opportunities and Challenges for Regions

Focuses on the opportunities and challenges faced by regions in implementing regional autonomy in Indonesia. Decentralization, which is regulated in Article 18 of the 1945 Constitution and clarified through Law Number 23 of 2014 concerning Regional Government, gives regional governments the authority to manage local affairs in the hope of increasing government efficiency and bringing public services closer to the community. However, its implementation faces a number of challenges, such as gaps in human resource capacity, disparities in development between regions, and coordination problems between the central and regional governments. This article uses a normative legal approach to explore how decentralization of power works within the framework of the Unitary State of the Republic of Indonesia (NKRI), and identifies the opportunities offered by regional autonomy to encourage more equitable development. This study emphasizes the importance of strengthening regional capacity, harmonizing central-regional policies, and effective supervision from the central government to ensure that decentralization can truly bring the expected benefits.

Fuzzy task assignment in heterogeneous distributed multi-robot system

This study addresses the problem of coordination in cooperative multi-robot systems performing complex tasks. An analysis of cooperative behavior in mobile multi-robot systems in terms of task execution accuracy by heterogeneous robots is carried out. In addition, we evaluate the capacity and compatibility of tasks assigned to robots to optimize task execution without using direct communication with the robots or a central decision-making unit. A model for task selection in heterogeneous distributed multi-robot systems is proposed. It is based on two processes: the first decomposes complex tasks into elementary tasks, and the second assigns elementary tasks to mobile robots for real-time execution. The distribution of elementary tasks is NP-hard, which leads us to recommend approximate solutions. A fuzzy system called Fuzzy Decision Making in Task Selection is proposed, which uses fuzzy logic to solve this problem. This system allows robots to choose to perform any task in the future. An approach is presented that uses two cascading fuzzy systems. The first calculates the utility of the robot and then activates the second fuzzy system to calculate the utility of the task. By using the output of the fuzzy decision system in our model, each robot will be able to decide for itself which tasks to perform. The results of a simulation of mobile robots transporting goods demonstrate the effectiveness of this fuzzy decision-maker.

Alternativizing markets: the framing of moral commerce

Abstract How are moral markets organized? While previous research has shown that moral markets combine conventional and alternative elements, it has failed to explain how these hybridizations can ensure the organization of moral markets. To this end, we take an economic-sociological approach using ethnographic materials from a study of Swedish Reko-rings, a direct-to-customer market for local foods, to analyse how actors address the key coordination problems of value, competition and cooperation. The analysis shows how participants of these markets enact an ‘alternative framing’, emphasizing economic certainty as instrumental for moral certainty, which enables them to develop and implement ‘alternativized’ solutions to market coordination problems. Thereby, participants make economic and moral values certain by making the former instrumental for the latter. We advance previous research by showing that moral markets require not just hybridization, but hybridization guided by a specific economic-moral framing that enables these markets to avoid co-option.

Information consumption and firm size.

Social and biological collectives exchange information through internal networks to function. Less studied is the quantity and variety of information transmitted. We characterize the information flow into organizations, primarily business firms. We measure online reading using a large dataset of articles accessed by employees across millions of firms. We measure and relate quantitatively three aspects: reading volume, variety and firm size. We compare volume with size, showing that firm sizes grow sublinearly with reading volume. This is like an economy of scale in information consumption that exaggerates the classic Zipf's law inequality for firm economics. We connect variety and volume to show that reading variety is limited. Firms above a threshold size read repetitively, consistent with the onset of a coordination problem between teams of employees in a simple model. Finally, we relate reading variety to size. The relationship is consistent with large firms that accumulate interests as they grow. We argue that this reflects structural constraints. Taking the scaling relations as a baseline, we show that excess reading is strongly correlated with returns and valuations. The results indicate how information consumption reflects internal structure, beyond individual employees, as is likewise important for collective information processing in other systems.

Hierarchical Game Theory-Based Optimal Power Management for Both Seaports and Ships

Unlike land-based power systems, a seaport microgrid is not only equipped with extensive electrification but also connected with ships, which turns maritime power management into a comprehensive transportation-power coordination problem. To fully exploit the potential of shipboard power systems for energy efficiency improvement of seaports, a hierarchical Stackelberg game-based framework is developed in this paper to achieve efficient power management for both seaports and ships. In this framework, the seaport microgrid serves as a leader to manage the local sources and determine the price for ships to maximize revenue, considering the influence of both the power side and transportation side. On the other hand, the ships act as followers to decide the charging and service strategies for an optimal trade-off between the benefits from onboard battery charging and the ship service cost. The proposed game is solved as a bilevel optimization problem via mathematical programming with the equilibrium constraints method. The proposed algorithm's efficiency is evaluated through numerical simulations. The simulation results demonstrate that the proposed power management method can simultaneously increase the economic profits of seaports and improve the service of ships at berth. Compared to traditional energy management methods, the comprehensive benefits can be increased by approximately 36%.

Valacyclovir Induced Neurotoxicity, with Therapeutic Drug Monitoring, in a Hospital-Based Setting in the Netherlands.

Valacyclovir-induced neurotoxicity is a rare side effect. The aim of this study was to perform a retrospective analysis of patients with valacyclovir-induced neurotoxicity and establish valacyclovir plasma concentrations in a tertiary hospital between January 2018 and November 2022. In total 208 patients were identified with measured acyclovir concentrations, and the electronic health records of these patients were analysed. Based on the in- and exclusion criteria, 4 patents were identified in whom high plasma concentrations were linked to neurotoxicity. The first patient experienced balance and coordination problems, visual hallucinations, speaking difficulties and headaches. The second patient experienced a progressive decline of consciousness, resulting in coma. The third patient also experienced reduced consciousness and was found unconscious on the floor during the night. The fourth patient experienced vertigo after administration of acyclovir. Based on this study, neurotoxicity appears to be an underreported adverse effect of valacyclovir therapy in a hospital setting. This side effect may have a high impact on individuals as well as on the duration of hospitalization. In order to exclude valacyclovir as the cause, clinicians should consider requesting an acyclovir plasma concentration as standard hospital-based intervention whenever a patient experiences neurotoxic symptoms. Moreover, pharmacists and clinicians should be made better aware of the interaction between valacyclovir and cyclosporine and/or mycophenolic acid, in particular in elderly patients with impaired kidney function. Valaciclovir-induced neurotoxicity diagnosis is underreported.Accessible and frequent therapeutic drug monitoring (TDM) of valacyclovir is recommended.Interactions between valaciclovir and ciclosporin and/or mycophenolic acid, in particular in elderly patients with impaired kidney function, need a follow-up during hospitalization.

Clinical coordination in cancer diagnosis: healthcare stakeholders’ viewpoints in Latin America

Abstract Background Delays in diagnosis contribute to increasing cancer mortality rates in Latin American countries due to, among others, highly fragmented healthcare systems. The objective of this study, part of a larger research project (EquityCancer-LA), was to analyze cross-level coordination during cancer diagnosis and factors influencing it from healthcare stakeholders’ perspectives in Chile, Colombia, and Ecuador. Methods This descriptive-interpretative qualitative study was based on 114 semi-structured individual interviews in 2022-23 using a criterion sample of health professionals from primary care (PC) (n = 40) and secondary care (SC) (n = 44) as well as managers and policy makers (n = 30) from two public healthcare networks in each country. Sample reached saturation. A thematic analysis was conducted first by country and then comparatively, guided by the theoretical framework of clinical coordination. Results In all countries, informants highlighted limited cross-level exchange of information and limited coordination of clinical management, delays in referral, and long waiting times after referral, leading to diagnostic delays. Factors hindering coordination differed across countries: structural (insufficient personnel, access to diagnostic tests in PC); organizational (limited/inadequate coordination mechanisms, e.g. shared clinical records; poor working conditions); and health professional characteristics (limited knowledge and skills among PC doctors). Direct feedback was emphasized to facilitate coordination of cancer diagnosis: virtual joint clinical conferences in Chile, co-location of PC and SC in Colombia, and informal networks (based on personal contacts) in Ecuador. Conclusions The findings underscore the critical coordination problems contributing to delays in cancer diagnosis. Addressing these challenges requires strategic interventions aimed at strengthening primary care and fostering cross-level coordination. Key messages • Cancer diagnosis in Latin America suffers from coordination deficits due to structural, organizational, and professional factors. • Strengthening primary care and cross-level coordination is needed.

CHALLENGES TO PUBLIC ADMINISTRATION IN THE CONTEXT OF INTERNAL MIGRATION IN UKRAINE

The article addresses the challenges faced by public administration in managing internal migration in Ukraine, driven by large-scale population movements due to the Russian-Ukrainian war, and the necessity of maintaining the stability of state institutions amidst social, economic, and demographic shifts. The purpose of the article is to identify the primary challenges confronting public administration in the context of internal migration and propose strategies to address them. To achieve this, the study employs an integrated approach, combining both quantitative and qualitative research methods. The article identifies the causes of internal migration and the key factors contributing to internal displacement: armed conflict, economic hardships, and social and environmental issues. It analyzes the main challenges to public administration in this context, including organizational difficulties, coordination problems between different levels of government, a lack of resources for effectively managing migration processes, and socio-economic challenges. It is demonstrated that there is insufficient infrastructure to provide housing, employment, and social services for internally displaced persons (IDPs), along with inadequate funding for support programs, and difficulties in integrating IDPs into new communities and fostering interaction with the local population. The article reviews state policy on internal migration, evaluates existing programs and strategies, assesses the effectiveness of current state initiatives, and highlights the barriers to implementing effective IDP policies, such as underfunding and lack of coordination. The author proposes solutions to enhance coordination and management, develop a unified migration management system, engage local communities in addressing IDP issues, increase funding and resources, expand state support programs, attract international assistance to tackle internal migration challenges, and implement legal reforms. Recommendations for improving migration management are also provided to overcome these challenges.

Legislative communication and power: measuring leadership in the U.S. House of Representatives from social media data

Abstract Control over the legislative messaging agenda has important political, electoral and policy consequences. Existing models of congressional agenda-setting suggest that national polarization drives the agenda. At the same time, models of home style and formal models of leadership hypothesize that legislators shift their messaging as they balance coordination and information problems. We say the coordination problem dominates when conditions incentivize legislators to agree on the same message rather than fail to reach consensus. Conversely, the information problem is said to dominate in circumstances where legislators prefer to say nothing at all rather than reach consensus on the wrong political message. Formal theories predict that when coordination problems are pressing, legislative members follow the policy positions of party leaders. When their party’s information problem is acute, party members instead rely on the wisdom of the caucus to set the party’s agenda. To test these theories, we analyze the Twitter accounts of U.S. House members with a Joint Sentiment Topic model, generating a new understanding of House leadership power. Our analyses reveal complex leader-follower relationships. Party leaders possess the power to substantially affect the propensity of rank-and-file members to discuss topics, especially when the coordination problem dominates; these effects are pronounced even when coordination problems are pressing. That said, when the underlying politics are unclear, rank-and-file members exert influence on the discussion of a topic because the information problem is more acute. At the same time and for these uncertain topics, leadership influence decreases, consistent with theory. We show these results are robust to the underlying dynamics of contemporary political discussion and context, including leading explanations for party leadership power, such as national polarization.

Merit-Based Sortition in Decentralized Systems

In decentralized systems, it is often necessary to select an 'active' subset of participants from the total participant pool, with the goal of satisfying computational limitations or optimizing resource efficiency. This selection can sometimes be made at random, mirroring the sortition practice invented in classical antiquity aimed at achieving a high degree of statistical representativeness. However, the recent emergence of specialized decentralized networks that solve concrete coordination problems and are characterized by measurable success metrics often requires prioritizing performance optimization over representativeness. We introduce a simple algorithm for 'merit-based sortition', in which the quality of each participant influences its probability of being drafted into the active set, while simultaneously retaining representativeness by allowing inactive participants an infinite number of chances to be drafted into the active set with non-zero probability. Using a suite of numerical experiments, we demonstrate that our algorithm boosts the quality metric describing the performance of the active set by >2 times the intrinsic stochasticity. This implies that merit-based sortition ensures a statistically significant performance boost to the drafted, 'active' set, while retaining the property of classical, random sortition that it enables upward mobility from a much larger 'inactive' set. This way, merit-based sortition fulfils a key requirement for decentralized systems in need of performance optimization.

Spatial-Temporal Structure Features of Muscle Synergies During Profiling Elements Implementation in Rhythmic Gymnastics

The article presents an analysis of the muscle synergies involved in making ball throws in different directions and from different starting positions. The study involved 6 highly qualified athletes engaged in rhythmic gymnastics. Electromyograms of the superficial muscles of the upper extremities and trunk were recorded synchronously during the movements, as well as video capture of the movements of body segments. Synergy parameters were extracted from the recorded signals using factor analysis using the principal component method. It has been established that individuals who have mastered a complex motor skill can demonstrate similar motor control strategies. This is manifested in the structuring of intermuscular interaction in the form of two general modules, the degree of involvement of muscles in which is highly similar in the implementation of different motor tasks. The first muscle module implements active movement of the upper limb by jointly activating the muscles of the forearm, shoulder and upper shoulder girdle, and also provides stabilization of the position of the trunk by synchronizing the activity of the muscles of the back and abdomen. The second muscle module is specific and is mainly associated with high involvement in the synergy of the muscles of the upper shoulder girdle and forearm for the implementation of exercises performed without visual control, or from starting positions that limit the mobility of certain parts of the body. Thus, the solution to the problem of coordination of many elements of the motor system may consist not only in reducing the number of executive organs – muscles involved in control, but also in organizing control variables in the form of modules at the kinematic level and their stabilization through muscle synergies.

Effectiveness of Mirror Therapy, Electrical Stimulation, and CIMT in Restoring Upper Extremity Function after Stroke

Objective: This study aimed to compare the effectiveness of mirror therapy (MT), electrical stimulation (EMS) combined with MT, and Constraint-Induced Movement Therapy (CIMT) in improving upper extremity function among stroke survivors. Methodology: A randomized controlled trial was conducted involving n=45 stroke patients undergoing rehabilitation at Wah International Hospital. The inclusion criteria for the study required participants to be above 45 years of age, to have survived either an ischemic or haemorrhagic stroke, and to have at least 10° wrist extension. Participants were excluded if they had an implanted electrical device such as an artificial pacemaker, paresis instead of paralysis, hemiplegia due to causes other than ischemic or haemorrhagic stroke (such as trauma, tumor, or coordination problems), or impaired sensory integration. Participants were divided into three groups: EMS combined with MT, CIMT alone, and Mirror therapy alone. Treatment sessions were administered four times a week for three months. Outcome measures included the Fugl-Meyer Assessment Scale (FMA) and Motor Assessment Scale (MAS). Results: Analysis revealed significant improvements in upper extremity function across all groups. However, the CIMT group exhibited the most substantial enhancement, with a mean difference of -68.5 (p < 0.05) on the FMA and -24.1 (p < 0.05) on the MAS compared to the other groups. Conclusion: The findings highlight the superior efficacy of CIMT in improving upper extremity function among stroke survivors. Incorporating CIMT into rehabilitation protocols is crucial for optimizing outcomes in this patient population. Further research is warranted to explore the long-term benefits and optimal implementation strategies of CIMT in diverse rehabilitation settings

A Linear Swarm – Based Intelligence for Resource Allocation and Fault Prediction in Cloud

The widespread utilization Cloud Computing (CC) services for hosting real-time applications have led to the appearance of service dependability as an essential issue in both users and Cloud Service Providers (CSP). Two diverse fault tolerant approaches are provided to improve the cloud service reliability known as proactive and reactive model. Various prevailing approaches consider the coordination problem among the Virtual Machines (VMs) executes parallel processing. Devoid of appropriate VM coordination, the parallel processing outcomes are not so appropriate. To handle this issue, a VM-based cluster allocation model is designed to diminish the total resource consumption by the data centers and network resources. Here, the VM migration process is performed for deteriorating PM to certain optimal PMs. At last, the optimal target selection is handled with an improved optimization approach known as linear Swarm-based intelligence. Here, various metrics are evaluated and compared with other approaches. The experimental outcomes illustrate the efficiency of the anticipated model.

Somatic and mental symptoms associated with dysglycaemia, diabetes-related complications and mental conditions in people with diabetes: Assessments in daily life using continuous glucose monitoring and ecological momentary assessment.

To analyse the potential drivers (glucose level, complications, diabetes type, gender, age and mental health) of diabetes symptoms using continuous glucose monitoring (CGM) and ecological momentary assessment. Participants used a smartphone application to rate 25 diabetes symptoms in their daily lives over 8 days. These symptoms were grouped into four blocks so that each symptom was rated six times on 2 days (noon, afternoon and evening). The symptom ratings were associated with the glucose levels for the previous 2 hours, measured with CGM. Linear mixed-effects models were used, allowing for nested random effects and the conduct of N = 1 analysis of individual associations. In total, 192 individuals with type 1 diabetes and 179 with type 2 diabetes completed 6380 app check-ins. Four symptoms showed a significant negative association with glucose values, indicating higher ratings at lower glucose (speech difficulties, P = .003; coordination problems, P = .00005; confusion, P = .049; and food cravings, P = .0003). Four symptoms showed a significant positive association with glucose values, indicating higher scores at higher glucose (thirst, P = .0001; urination, P = .0003; taste disturbances, P = .021; and itching, P = .0120). There were also significant positive associations between microangiopathy and eight symptoms. Elevated depression and diabetes distress were associated with higher symptom scores. N = 1 analysis showed highly idiosyncratic associations between symptom reports and glucose levels. The N = 1 analysis facilitated the creation of personalized symptom profiles related to glucose levels with consideration of factors such as complications, gender, body mass index, depression and diabetes distress. This approach can enhance precision monitoring for diabetes symptoms in precision medicine.

Gait coordination control of bipedal modular reconfigurable robot based on adaptive neural network

This paper proposed an adaptive neural network (NN) control method to track the desired trajectory of a bipedal modular reconfigurable robot (MRR), which can solve the gait coordination problem of bipedal MRR. The leg dynamic model and the body dynamic model of bipedal MRR are established based on the Newton–Euler iterative method, and the global dynamic model is subsequently established. Aiming at the gait coordination problem between double support phase (DSP) and single support phase (SSP), the desired trajectory is generated based on the zero-moment point (ZMP) method. The adaptive NN controller is designed to track the generated desired trajectory, which also compensates interconnected dynamic coupling (IDC) effects of the bipedal MRR. The stability of bipedal MRR system is proved by Lyapunov theory. In the end, the effectiveness of the control method is verified by comparative simulation. The simulation results show that the proposed adaptive NN method reduces the position tracking error by [Formula: see text] and the control torque by [Formula: see text] compared with the existing control methods.

Hybrid Orientation and Position Collaborative Motion Generation Scheme for a Multiple Mobile Redundant Manipulator System Synthesized by a Recurrent Neural Network.

To enable distributed multiple mobile manipulator systems to complete collaborative tasks safely and stably, this article investigates and presents a motion generation scheme that considers both orientation and position coordination based on a distributed recurrent neural network. Moreover, physical limits are also considered. Specifically, the orientation and position coordination constraints and physical limits are modeled separately as equality and inequality constraints with coupled variables. Subsequently, a motion generation scheme for multiple mobile manipulators based on quadratic programming is established. Finally, a distributed linear variational inequality-based primal-dual neural network is constructed to solve the motion generation scheme and obtain the motion trajectories of all the mobile manipulators. The simulation results demonstrate that the hybrid orientation and position collaboration motion generation scheme effectively addresses the position and orientation coordination problem for multiple mobile manipulator systems. Compared to other schemes, the proposed scheme based on a distributed computing structure greatly enhances the stability of the system. Additionally, the proposed approach introduces orientation coordination and physical limits, which increases the practicality of the system.

Effect of DG penetration on hybrid relay coordination using user-defined dual-setting directional overcurrent relays and distance relays

ABSTRACT The efficient coordination of the distance and directional overcurrent relays (DOCRs) is jeopardized by the massive deployment of renewable distributed generation (DG) into electrical power networks. The two key aspects influencing the relay coordination are the bidirectional flow of current and increased short-circuit currents due to DG integration. This study investigates the consequences of variable DG penetration on the distance and dual-setting DOCRs (DS-DOCRs) coordination. As a result, common optimal relay settings have been obtained that can be utilized for variable DG penetration levels in modified IEEE-14 bus test system. For the distance relays (DRs), a fixed zone 1 and variable zone 2 operation have been considered. The proposed combined protection scheme is tested on a modified IEEE-14 bus test system using DS-DOCRs and DRs. The relay coordination problem is formulated as a constrained non-linear optimization problem and solved by genetic algorithm (GA) and gray wolf optimization (GWO). In this paper, DS-DOCRs with user-defined relay characteristics have demonstrated superior performance in line protection compared to conventional DOCRs with normal inverse (NI) characteristics. In addition, a comprehensive comparative analysis of optimization algorithms has been performed between GA and GWO algorithms.

Using a Guidance Virtual Fixture on a Soft Robot to Improve Ureteroscopy Procedures in a Phantom

Manipulating a flexible ureteroscope is difficult, due to its bendable body and hand–eye coordination problems, especially when exploring the lower pole of the kidney. Though robotic interventions have been adopted in various clinical scenarios, they are rarely used in ureteroscopy. This study proposes a teleoperation system consists of a soft robotic endoscope together with a Guidance Virtual Fixture (GVF) to help users explore the kidney’s lower pole. The soft robotic arm was a cable-driven, 3D-printed design with a helicoid structure. GVF was dynamically constructed using video streams from an endoscopic camera. With a haptic controller, GVF can provide haptic feedback to guide the users in following a trajectory. In the user study, participants were asked to follow trajectories when the soft robotic arm was in a retroflex posture. The results suggest that the GVF can reduce errors in the trajectory tracking tasks when the users receive the proper training and gain more experience. Based on the NASA Task Load Index questionnaires, most participants preferred having the GVF when manipulating the robotic arm. In conclusion, the results demonstrate the benefits and potential of using a robotic arm with a GVF. More research is needed to investigate the effectiveness of the GVFs and the robotic endoscope in ureteroscopic procedures.