Coordination Of Resources Research Articles

Medical social work in hospice settings: Bridging clinical care and emotional support

<p>Medical social workers play an indispensable role in hospice settings by addressing the multifaceted needs of patients and their families during end-of-life care. This paper focuses on how their expertise in psychosocial assessment, care planning, advocacy, counseling, and resource coordination ensures holistic, patient-centered care that integrates clinical and emotional support. Medical social workers foster culturally sensitive practices through interdisciplinary collaboration, enhance communication among care teams, and provide tailored interventions that address emotional, social, and spiritual concerns. This integration improves the quality of life for patients and alleviates emotional and systemic burdens on healthcare infrastructures. In addition to their immediate contributions, medical social workers support sustainable healthcare systems by promoting health equity and addressing disparities in hospice care. Their work aligns with global Sustainable Development Goals (SDGs), particularly SDG 3 (Good Health and Well-being) and SDG 10 (Reduced Inequalities), by ensuring equitable access to compassionate care for marginalized populations. Furthermore, their efforts to empower communities, advocate for cost-effective care strategies, and integrate social and medical perspectives contribute to the long-term resilience of healthcare systems. As the healthcare landscape evolves, the role of medical social workers in hospice care becomes increasingly critical. Their ability to address root causes of distress, navigate complex family dynamics, and facilitate interdisciplinary collaboration exemplifies the necessity of their role in advancing equitable and effective end-of-life care.</p>

Enhanced sensor web services by incorporating IoT interface protocols and spatio-temporal data streams for edge computing-based sensing

ABSTRACT The Geospatial Sensor Web (GSW) integrates heterogeneous aerial and ground sensors via cloud-edge linkages and GIS-based approaches, forming a multi-dimensional observation network. However, existing systems struggle to support edge-side collaborative observation due to fragmented physical standards, incompatible protocols, and limited self-configuration. This study proposes an enhanced Sensor Web, integrating IoT protocols and spatio-temporal models for unified access, collaborative management, and dynamic planning. Validated through the City Sensing Base Station (CSBS), a pilot experiment demonstrated the framework integrates diverse sensing resources across over eight protocols, achieving autonomous alignment of more than five platforms with rapid aerial-ground network formation during emergencies. It also validated autonomous collaboration and coordination of aerial-ground resources, enabling dynamic task allocation and execution across heterogeneous systems. Compared with cloud-based architectures, this approach significantly improves resource accessibility and real-time processing. By extending SensorML and Sensor Observation Service (SOS), the framework bridges the gap between conventional Sensor Webs and edge computing demands. Results confirm its effectiveness in coordinating heterogeneous resources and managing dynamic spatio-temporal data. These findings show how Internet of Things (IoT) protocols advance earth observation, modeling and improve GSW efficiency.

Autonomous System for Disaster Response & Recovery

Disaster response and recovery require rapid decision-making, resource coordination, and human resilience, often in highly hazardous environments. Autonomous systems, integrating artificial intelligence (AI), robotics, unmanned aerial vehicles (UAVs), and the Internet of Things (IoT), have demonstrated immense potential to enhance operational efficiency, minimize risks, and save lives. This paper explores the advancements in autonomous technologies for disaster response, presenting real-world applications, challenges, and ethical considerations. Through a multidisciplinary lens, the paper examines case studies, highlights technological limitations, and suggests pathways for future innovation. Collaboration among technologists, policymakers, and humanitarian organizations will be pivotal in unleashing the full potential of autonomous systems in disaster management. Notable examples include UAVs providing rapid damage assessments following earthquakes and AI-driven systems optimizing medical supply distribution during pandemics.

A shared value network model based on synergy theory in intelligent manufacturing.

With the in-depth development and integration of science and technology, intelligent manufacturing has gradually become a trend in the manufacturing industry. However, it is difficult for the traditional business model to maximize the use of resources. To address these problems, a shared value network model based on synergy theory is first proposed, which consists of three layers: resource network layer, value connection layer and resource coordination layer. Then, to meet the market demand and maximize the value gain, the optimization scheme is given according to the coordination theory and priority strategy in the design of the operation mechanism of the shared value network model. Finally, the effectiveness of the proposed model is verified by analyzing an example in the actual industry.

Технологические решения для создания многоагентных систем в сфере инновационной деятельности

Abstract. In the context of the rapid development of science and technology, traditional methods are no longer effective, which requires more intelligent and adaptive solutions for information management and processing. The article explores and analyzes multi-agent systems (MAS), their role and importance in the field of innovation. Objective: systematization of technological solutions used in the development of multi-agent systems in innovation activities, as well as assessment of their impact on the effectiveness of innovation processes. Result and novelty: an analysis of architectural and algorithmic approaches to MAC development was carried out, modern software and hardware solutions, including the Internet of Things (IoT) and cloud platforms, were studied. Innovative aspects in the integration of MAC with physical devices are highlighted, which expands their functionality. Practical significance: the considered technological solutions support the practical application of MAC in various fields: from project management to optimization of research processes. The implementation of the IAU contributes to improved coordination and allocation of resources, which is especially important in conditions of high dynamics and uncertainty of the innovation environment. Discussion: It is emphasized that MAC development faces the challenges of complex architecture and computational costs. The importance of choosing a suitable development platform (for example, JADE, SPADE, NetLogo) is highlighted, depending on the needs of the project. The role of cloud technologies and IoT in the future development of multi-agent systems is emphasized.

Regional Command Empowerment Strategy in Managing Natural Disasters to Assist Regional Governments in the Region (Case Study of Disasters in Makassar City)

Natural disasters have long been seen as force majore, that is, something that is beyond human control, occurring unexpectedly at what time, how it impacts and where it occurs. Natural disasters that occur will of course have an impact on large material losses, disrupt economic activities, damage infrastructure and the environment and threaten the safety of human lives and result in loss of life and property. Development programs are threatened and stopped due to the impact of natural disasters that hit areas. in Indonesia. Republic of Indonesia Law No. 34 of 2004 concerning the Main Duties of the TNI, namely Military Operations Other Than War (OMSP), including assisting in dealing with natural disasters at the emergency response, rehabilitation and reconstruction stages. Therefore, the role of the TNI AD, especially the Regional Command, in managing natural disasters is very important. Thus, this research aims to analyze the strategies implemented by the Military District Command (Kodim) 1408 in assisting the Makassar regional government in dealing with natural disasters. The research method used is qualitative with a case study approach. Data was collected through interviews, observation and document analysis. The research results show that Kodim 1408 plays a vital role in disaster management through effective coordination, preparedness and utilization of military resources. This study provides recommendations for increasing collaboration between Kodim and local governments and increasing disaster response capacity.

Hybrid Communication Architecture Based on Hierarchical Computing for Low Voltage Power Network Automation in Developing Countries

Utility companies in developing countries, such as Tanzania, have made significant advancements in automating the generation, transmission, and primary distribution segments of their electrical grids. However, automation in the Low Voltage Power Network (LVPN) remains minimal and largely unmonitored, leading to manual fault management that results in losses and inconveniences for both utilities and customers. Effective Smart Grid (SG) infrastructure relies on seamless communication between end-devices and controlling systems to ensure timely execution of critical applications. Key SG applications for LVPN automation include Advanced Metering Infrastructure (AMI), Distributed Energy Resource (DER) coordination, and Distribution Automation (DA), each with specific latency requirements that must be met. Current architectures outlined in the literature present challenges for utility companies attempting to implement these applications while satisfying latency criteria for automation. This paper introduces a hybrid communication architecture based on a three-level hierarchical computing model specifically designed for LVPN automation. Laboratory results indicate that this architecture achieves an average delay of 7.059ms, significantly below the maximum allowable latency of 20ms for AMI, DER, and DA which demonstrates the architecture's capability for effective LVPN automation.

Design and implementation of a novel electronic health records (EHR) system for knowledge sharing at an international medical outreach program field clinic

A prominent medical school in the Southeast United States conducts an active International Medical Outreach Program (IMOP) at multiple international locations. These medical outreach trips provide medical services to those who do not have access to or limited access to health care. Medical students who volunteer to participate in these trips welcome the experiential education experiences. This developmental research study focuses on three IMOP trips to San Cristóbal, Galápagos Islands (Ecuador). Traditional approaches in the dissemination of clinical knowledge, skills, and confidence building for medical students rely on classroom training. In the IMOP experiential trips, knowledge sharing was supported by oral communication with senior clinicians and patients, as well as the transition from a paper-based to a novel custom-built Electronic Health Record (EHR) system. Paper-based record systems are cluttered with issues; some include illegible handwriting and missing or incomplete data. A team of health informatics professionals from the university transitioned the paper-based forms to a novel digitalized EHR system. The new novel digitalized EHR system resolved many of the paper-based issues and significantly improved knowledge dissemination among medical students, patients, and clinicians, furthering skills enhancement as well as efficiencies in resource coordination, however, some adjustments in clinical documentation procedures were needed to reduce the volume of missing data entries during the implementation, where a total of 848 adult and pediatric patients were treated over the three IMOP trips documented in this research. This digitalized EHR system enabled a more efficient transfer of knowledge to medical students.

Assessment Of Challenges Faced by Caregivers of Older Adults Living with Visual Impairment in Enugu East Local Government Area

The effect of visual impairment can be profound on older adults as well as their caregivers, affecting their independence, quality of life and ability to navigate daily activities. The study is designed to find out challenges faced by caregivers of older adults living with visual impairments in Enugu East Local Government Area of Enugu State, Nigeria. Multi-stage sampling technique which comprised purposive sampling technique, simple random sampling technique by balloting and availability sampling where used at various stages to select 24 participants which comprised of 4 male and 4 female who were caregivers to visual impairment older adults chosen from eye clinics within the three selected district that made Enugu East. Data was generated using an in-dept interview guide and analysied thematically using quotes from the research participants. The study revealed emotional stress and burden, insufficient time for personal care and activities, financial drain, depression and anxiety as the major challenges of the caregivers to visually impaired older adults, whereas factors such as poor medical facilities, financial constraints, and poor welfare packages where identified to be responsible for the challenges. Further findings revealed social workers could play crucial role by providing emotional support, resource coordination, advocacy, counseling to crisis intervention to assist caregivers cope with these challenges.

The Coordination of Water Resources and Economic Development in a Water-Scarce Area: An Ecosystem Service Perspective

In water-scarce areas, there is a complex interrelationship between water resources and economic development. This paper studies the relationship between water resources and economic development from an ecosystem services perspective. This paper selected the value of river ecosystem service functions and the comprehensive index of economic development in the Yellow River Basin (YRB) from 2007 to 2018 as the research object, tested the synergy of ecosystem service functions in the basin, and introduced a coupling coordination model to evaluate the synergy of developmental factors. The research results showed that (1) the overall river ecosystem service value in YRB was on the rise, and its distribution was characterized by a high value in the lower reaches and a gradual decrease from the middle reaches to the upper reaches; (2) the synergy of river ecosystem service functions in YRB was mainly reflected in the supply and regulation functions, and the synergy of cultural functions should be improved; (3) the overall coupling and coordination degree showed an upward trend. However, judging from the characteristics of coupled and coordinated degrees, backward ecological development is a long-term problem. This article will help to put forward countermeasures and suggestions for the coordinated development of the river ecosystem service value and regional economy in YRB.

Organizational capabilities for digital innovation: a systematic literature review

PurposeThe rapid advancement of digital technologies compels companies across all industries to develop new capabilities to foster innovation and sustain competitiveness. Consequently, scholarly debates have intensified regarding how these new capabilities contribute to companies’ innovation endeavors. This study addresses this imperative by exploring two primary research questions: first, identifying the essential organizational capabilities for digital innovation; and second, examining how these capabilities facilitate innovation. The objective is to develop a comprehensive conceptual framework that classifies digital innovation capability as a higher-order organizational capacity, offering valuable insights for both academic scholarship and practical applications in digital innovation management.Design/methodology/approachUsing a qualitative approach, this study combines a systematic literature review with grounded theory principles to analyze 38 empirical papers from Scopus and Web of Science databases. The rigorous multi-stage coding process – open, axial and selective coding – facilitated the identification and synthesis of valuable insights for digital innovation capabilities. This approach ensures a comprehensive yet focused review, supporting the development of a robust theoretical framework.FindingsFour critical capability clusters were identified to shape digital innovation capabilities: sensing, analytic-driven, digital platform and orchestration. Sensing capabilities enhance environmental awareness and enable organizations to detect market needs and opportunities, fostering customer-centric innovations. Analytic-driven capabilities leverage data for insightful decision-making and trend analysis. Digital platform capabilities highlight the strategic use of technological infrastructures to enable collaborative innovation, integrating diverse capabilities and objectives. Orchestration capabilities focus on effective coordination of resources and partnerships, ensuring sustained digital innovation by bridging capability gaps and reconfiguring resources. Collectively, these clusters offer a holistic framework for excelling in the dynamic digital innovation landscape.Originality/valueWhile previous literature has focused on the impact of individual capabilities on digital innovation, this study offers a novel and integrative framework that categorizes digital innovation capabilities into four distinct yet interconnected clusters: sensing, analytic-driven, digital platforms and orchestration. This framework delineates the unique roles each capability plays in the digital innovation process. By synthesizing empirical studies and constructing a robust theoretical framework, this research significantly contributes to both academic scholarship and practical applications, offering essential strategies for organizations to enhance their digital innovation efforts through sustainable capability development.

Optimizing Renewable Strategies for Emission Reduction Through Robotic Process Automation in Smart Grid Management

The integration of renewable energy into Intelligent Distribution Networks (IDNs) is challenged by the inherent variability and fluctuations in energy supply, particularly with photovoltaic (PV) generation as the primary form of distributed generation (DG). However, managing the fluctuations and variability in renewable energy supply presents significant challenges. To address these complexities, it is vital to optimally coordinate flexible resources from source–network–storage–load (SNSL) in a manner that aligns with cross-sectoral emission reduction strategies while enhancing grid stability and efficiency. This paper addresses these challenges by proposing a strategy that optimizes the coordination of PV-based DG, storage, and load resources through Robotic Process Automation (RPA) to enhance grid stability and support emissions reduction. We use a two-layer dispatching framework: the lower-layer model, formulated as a quadratic programming problem, maximizes PV utilization for individual users, while the upper-layer model, based on a second-order cone relaxation approach, manages the overall IDN to minimize operational costs. The iterative solution leverages tie-line power flow as boundary information to ensure convergence across the network. Validated on an enhanced IEEE 33-bus system, the approach demonstrates a 62% increase in PV-based DG consumption and a 25% reduction in active power losses, highlighting its potential to improve grid efficiency and contribute to emission reduction goals.

Collaborative character searches in L2 Chinese peer writing: sequential design and object affordances

ABSTRACT In light of the growing field of research on writing-in-interaction within an ethnomethodological (EM) and conversation analytic (CA) perspective, which conceptualises peer writing as a situated activity unfolded by participants, this study investigates how L2 Chinese learners accomplish collaborative character searches during a peer writing task. The analysis shows that learners’ collaborative character search follows a three-phase sequential design: problem-displaying, attention-drawing, and problem-resolving phases, during which they employ various multimodal resources to achieve interactional goals. By using different objects, participants demonstrate their agency in coordinating resources while collaboratively searching for the correct character(s). Furthermore, participants’ interactions with objects provide affordances for emphasising a particular point for noticing, transferring the writership, displaying epistemic stance, re-directing attention, and exploring the emergent learnable. This study unveils how L2 Chinese learners do collaborative character searches during peer writing and extends our understanding of the intricate coordination of multimodal resources in collaborative character search work. It contributes to ongoing discussions on (hand)writing-in-interaction within the EM/CA field by illustrating how participants navigate the intricacies of logographic writing while doing writing.

Voices From the Frontline: A Reflexive Thematic Analysis Illuminating Perioperative Practice Realities in Southern Ethiopian Teaching Hospitals.

Despite national efforts, gaps persist in Ethiopian perioperative care. This reflexive thematic analysis aimed to investigate the contextual challenges faced in delivering perioperative care. In-depth interviews were conducted with 20 healthcare professionals, including anesthetists, nurses, and surgeons, to gain a frontline perspective of perioperative practice realities. The analysis revealed eight interconnected themes: systemic infrastructure vulnerabilities, workforce expansion uncertainties, workforce demoralization, fragile perioperative safety culture, hierarchical structures and communication barriers, financial barriers to care, fragmented information systems, and fragile governance with sociopolitical instability. Local deficiencies in resources and equipment were amplified by global challenges, creating a precarious care environment. While workforce numbers increased, concerns persisted about competency and training quality. Systemic pressures and unmet professional needs contributed to staff demoralization. Inconsistent safety practices and top-down quality improvement initiatives hindered sustainable progress. Rigid hierarchies and departmental silos impeded effective teamwork and resource coordination. Financial constraints created significant barriers to care access and ethical dilemmas for providers. Incomplete digitalization and inconsistent documentation practices compromised continuity of care and data-driven improvements. Overarching sociopolitical instability and weak governance cascaded into healthcare system disruptions. The findings underscore the need for a multifaceted approach to strengthen perioperative care, including improving infrastructure, enhancing workforce development, fostering a culture of safety, breaking down hierarchical barriers, addressing financial accessibility, implementing robust information systems, and building resilient governance structures amidst adversity.

Analysis of coupling coordination and spatio-temporal of water resource carrying capacity and regional economic development–taking Henan Province as an example

Analysis of coupling coordination and spatio-temporal of water resource carrying capacity and regional economic development–taking Henan Province as an example

Integrating AI into Agile Workflows: Opportunities and Challenges

Over the past few years, Agile development approaches have become an increasingly popular methodology for software engineering, focused on iterative progress, continuous feedback, and teamwork cooperation. However, the raising difficulties of projects and more demand for faster and more efficient workflows have challenged the situation further. The introduction of Artificial Intelligence into the Agile processes paves the way to optimize decision-making, automate routine tasks, and boost team productivity. This review summarizes the innovations and challenges created by the integration of AI into Agile development practices. Using AI technologies like machine learning, predictive analysis, and natural language processing, Agile teams can enhance sprint planning, resource coordination, and risk management. Also, it presents some risks such as data privacy, workforce skills need, and possible over-dependence of AI. The paper emphasizes on providing a full overview of the innovations and challenges to the application of AI in Agile workflows, providing thoughts for future research and practices.

Deploying a user-friendly GIS mapping tool in post-earthquake Turkey and Syria

Background The February 2023 earthquakes in Turkey and Syria exposed significant gaps in healthcare information systems, which severely hampered communication, coordination, and the overall public health response. These disruptions were primarily due to the lack of real-time, accessible data on healthcare facilities. Methods In response, an interactive Geographic Information System (GIS) tool, coupled with an integrated WhatsApp chatbot, was developed under the platform Afetsaglikharitasi.org. This system enabled real-time mapping and updates on the status of healthcare services, even in areas with limited internet connectivity, facilitating more efficient resource coordination during the disaster response. Results By March 30, 2023, the disaster health map included data from 537 health centers and had reached over 800,000 individuals via social media platforms such as Instagram, Facebook, and Twitter. The platform attracted over 3,500 unique users, with most accessing it via mobile devices to locate healthcare services. Additionally, shortcomings in the Turkey National Disaster Response Plan (Türkiye Afet Müdahale Planı – TAMP) were identified, particularly the lack of integration of digital health technologies, which hindered resource allocation during the earthquake response and underscored the need for their inclusion in disaster management strategies. Conclusions This study demonstrates the effectiveness of digital health tools in enhancing disaster response and underscores the importance of integrating user-centered, deployable technologies to improve healthcare delivery in emergency settings.

Local Supports to Break the Cycle: A Description of Intersectional Interventions to Address Adverse Childhood Experiences and Drug Overdose.

Adverse childhood experiences (ACEs), substance use disorders (SUDs), and overdose are interconnected issues impacting individuals and communities at multiple levels of the social ecology and across generations. Few studies describe approaches that intentionally and simultaneously address these issues. This paper examines activities of 15 sites across the country that were designed to simultaneously prevent ACEs, SUD, and overdose. This paper describes the work at the intersection as well as gaps and opportunities. Describing ways to implement intersectional programming may assist other organizations in taking similar steps in their communities. From December 2020 through July 15, 2023, funded sites received technical assistance from the National Association of County and City Health Officials and the Centers for Disease Control and Prevention for 18months to support the implementation, adaptation, and/or expansion of evidence-based programs to address ACEs, SUD, and overdose. Activities were coded to identify intersectional interventions that addressed ACEs, SUD, and overdose. Most of the ACEs prevention strategies and overdose prevention priority areas/guiding principles from which communities could choose were represented. Most activities were implemented with caregivers and families and addressed ACEs through interventions to lessen harm or to promote social norms. Primary prevention and coordination of resources were the most used overdose prevention priority area/guiding principle. It is possible to address the intersection of ACEs, SUD, and overdose on a local level. Opportunities to further address the intersection include incorporating more secondary and tertiary prevention strategies, expanding economic supports, and increasing the work focused on equity.

A Deep Learning Approach for Predicting Aerial Suppressant Drops in Wildland Firefighting Using Automatic Dependent Surveillance–Broadcast Data

This study utilizes Automatic Dependent Surveillance–Broadcast (ADS-B) data sourced by the OpenSky Network to curate a dataset aimed at enhancing the precision of aerial suppressant drop predictions in wildland firefighting. By amalgamating ADS-B data with Automated Telemetry Unit (ATU) drop information, this research constructs a reliable base for analyzing the spatial aspects of aerial firefighting operations. Using sequential machine learning models, specifically Long Short-Term Memory (LSTM) networks and 1D Convolutional Neural Networks (1DCNN), the study interprets complex flight dynamics to predict drop locations. The dataset, covering 2017 to 2023, is labeled and segmented to reflect accurate suppressant release events, facilitating the distinction between drop and non-drop activities in fixed-wing aircraft. The LSTM model demonstrated strong predictive performance with an F1 score of 0.922, effectively identifying suppressant drop events with high accuracy. This model’s reliable predictions can significantly improve situational awareness in real-time aerial firefighting operations, enabling more informed decision-making and better coordination of resources during wildfire events.

Pedagogical translanguaging and trans-semiotizing in a LOTE Arabic classroom: the coordination of semiotic resources in alphabetic teaching and learning

ABSTRACT Purpose Based on the notion of translanguaging/trans-semiotizing, the study aims to explore an effective pedagogy in a foreign language classroom to respond to the multilingual and multimodal context and facilitate language teaching and learning. Specifically speaking, the study attempts to investigate the coordination of multiple semiotic resources during the teaching and learning of Arabic alphabet in a LOTE (Language other than English) Arabic classroom at a Chinese university. Design Drawing from a classroom ethnography for two academic years, the current study collected data from a focal Arabic teacher and learners via classroom recordings, semi-structured interviews, and stimulated recalls; multimodal conversational analysis and qualitative content analysis were used to analyze the data. Findings The findings illustrate how multilingual resources can be activated to organize the classroom, how multimodal resources can be coordinated to contribute to language learning, and how students’ individual resources can be integrated into the entire semiotic resources to enhance their understanding of Arabic orthography. Value The implications for LOTE education and teacher training programs are presented, including the encouragement of a multilingual, multimodal and multisensory teaching approach in the LOTE classroom. LOTE teacher's agentive role is demonstrated; LOTE learners are expected to make positive response to the teacher’s pedagogy, and become active co-constructors of the language classroom and agents of translanguaging/trans-semiotizing practices.