Resource Management Strategies Research Articles

Strategic Model for Mangrove Forest Resource Management in Boalemo District, Gorontalo Province

Mangrove forest destruction in Boalemo Regency has increased significantly over the past decade. The condition of mangrove forests has been degraded due to the pressure of population growth, especially in coastal areas. Damage to mangrove forest resources is certainly very dangerous to the ecosystem of fisheries resources, biodiversity and destroys the stability of coastal forests that support the protection of inland and rural agricultural crops. The purpose of this research is to design a model of sustainable mangrove forest resource management strategy in Boalemo District, Gorontalo Province, so that it can be applied as a policy in improving and optimizing mangrove forest resource management efforts in Gorontalo Province. The method used is Interpretive Structural Modeling (ISM). The results showed that there are thirteen sub-elements of program requirements needed to build the model, of the thirteen elements of program requirements there are no sub-elements that occupy quadrant I, in quadrant II there are two sub-elements and in quadrant III there are six sub-elements, in quadrant IV is occupied by five sub-elements which are key elements to build a mangrove forest resource management strategy model.

Human Resource Management Strategy: Integrating Psychological Perspectives through Qualitative Description and Literature Review

Human Resource Management Strategy: Integrating Psychological Perspectives through Qualitative Description and Literature Review

Island Water Management Cyprus Facts Finding Mission and Gap Identifications

Water management on islands faces unique challenges due to limited size, isolation, climate change impacts, and economic development needs. These factors intensify water scarcity, highlighting the need for sustainable resource development through multidisciplinary approaches. Cyprus, the third-largest Mediterranean island, exemplifies these challenges, with the lowest water availability per capita in the region and severe water scarcity exacerbated by climate change. Addressing these issues requires a comprehensive master plan that integrates technical, environmental, social, and economic factors, focusing on climate change impacts on the water cycle. The Energy, Environment, and Water Research Center (EEWRC) plays a pivotal role in global resource management, emphasizing sustainable development goals and Integrated Water Resources Management Policy. EEWRC’s key initiatives include hydrodiplomacy and WEF Nexus and Integrated Water Resource Management IWRM, monitoring sediment transport pollution, water quality monitoring of basins and aquifers, smart water management of conventional and non-conventional water, and nature-based solutions for water and land management integration. To improve water management in Cyprus, establishing a National Commission for Water Experts is recommended. This commission would provide a detailed roadmap for water management, aligning with Sustainable Development Goals (SDGs) and the Climate Change Initiative coordinated by the Cyprus Institute. Additionally, organizing a conference focused on “Cyprus Island Water Management” would help launch this concept. In conclusion, it is crucial to develop a long-term strategy for optimal water resource management in Cyprus, addressing water issues, promoting conservation, launching climate-resilient initiatives, and fostering collaboration with national and international entities for success.

Nursing leadership in disaster preparedness and response lessons learned and future directions

Nursing leadership is integral to effective disaster preparedness and response, demanding agility, strategic planning, and robust resource management. Disasters, both natural and man-made, present unique challenges that require nursing leaders to be adept in rapid decision-making and efficient coordination. The unpredictability of disasters necessitates comprehensive and regularly updated preparedness plans, ensuring nursing teams are well-versed in their roles through continuous training and simulations. Interprofessional collaboration and strong community partnerships are essential, fostering a unified response and efficient resource distribution. Communication remains a cornerstone of disaster management, with clear, timely information dissemination being crucial for coordinating efforts and maintaining public trust. Resource scarcity during disasters, such as shortages of medications and personal protective equipment (PPE), poses significant challenges. Effective resource management strategies are essential to maintain patient care standards and protect healthcare workers. The psychological toll on healthcare providers is another critical issue, with nursing leaders needing to implement support systems that address mental health and promote resilience. Integrating advanced technologies like telehealth and data analytics can enhance disaster response, providing remote care options and enabling predictive modeling for better resource allocation. Innovative approaches in nursing leadership include the use of telehealth for remote consultations and monitoring, data analytics for predictive modeling, and interprofessional education to improve teamwork and coordination. Strengthening community partnerships enhances overall disaster response capacity, ensuring that community-specific needs are addressed. Mental health support for healthcare providers, both immediate and long-term, is vital for maintaining a resilient workforce. Policy advocacy by nursing leaders is crucial to developing robust disaster preparedness frameworks and securing adequate funding. In summary, nursing leadership is pivotal in disaster preparedness and response, with a focus on strategic planning, interprofessional collaboration, effective communication, resource management, mental health support, and the integration of advanced technologies. Emphasizing these areas will enhance the resilience and responsiveness of healthcare systems, ultimately improving outcomes for patients and healthcare providers during disasters.

PROJECT MANAGEMENT APPROACH IN HEALTHCARE SERVICES

Objective: This study investigates the terms project, project management, and project management cycle, focusing on the project management approach in healthcare services. It aims to emphasize the importance and necessity of project management in healthcare, contributing to the development of a project management culture within the healthcare sector. Theoretical Framework: Projects are generally a set of activities or efforts planned and implemented to achieve a specific goal or objective. Businesses often need to operate within a specific project or plan to reach their goals. The same applies to healthcare services. Today, it is crucial for healthcare institutions to achieve their strategic objectives by utilizing their limited resources most effectively. Therefore, healthcare institutions must continuously strive to manage their resources in alignment with their strategic goals. By adopting an effective resource management strategy, healthcare institutions can enhance the quality of patient care, patient satisfaction, operational efficiency, and cost optimization. Project management consists of specific phases: initiation, planning, execution, monitoring and control, and closure. Each phase is essential for the project's successful progress. Project management is a vital management system in healthcare institutions that reduces uncertainties and ensures the successful completion of projects. Planning and monitoring all phases of projects from start to finish allow for early detection and correction of errors and problems. Method: This study on project management in healthcare services uses document analysis as a qualitative data analysis method. It compiles and evaluates existing knowledge and data on project management in healthcare services. Research Implications: The results and recommendations of this study can increase awareness of project management in healthcare services and help manage practices in this field more effectively.

Strategies for Resource Management in the Department of Education: A Systematic Review of Efficiency and Effectiveness

This systematic review examines the efficiency and effectiveness of the Department of Education's resource management strategies, with an emphasis on budgetary planning, technological integration, and policy implementation at the elementary, secondary, and higher education levels. Using the PICOS paradigm, the study critically evaluates 39 papers published between 2019 and 2024 that were chosen based on precise inclusion criteria outlined in the report. Efficiency is defined as the ideal allocation and utilization of resources to achieve desired results with little waste, as opposed to effectiveness, which assesses the impact of these strategies on educational quality and stakeholder satisfaction. The analysis focuses on significant results on how strategic resource allocation improves institutional sustainability and academic achievement. This assessment intends to recommend to policymakers, school leaders, and teachers to maximize resource management strategies to accomplish educational goals while improving operational efficiency.

Increasing monsoon precipitation extremes in relation to large-scale climatic patterns in Pakistan

This study comprehensively evaluates monsoon variability and its large-scale drivers in Pakistan, a country often affected by extreme monsoon events leading to destructive flooding. Utilizing the Monotonic Mann-Kendall and Sen's Slope test, we analyzed trends in seven indicators of extreme precipitation events (EPEs) from 1961 to 2017 across Pakistan and its homogeneous climatic regions. The wavelet coherence method further allowed us to probe the connection between EPEs and key climate indices such as the Atlantic Multidecadal Oscillation (AMO), North Atlantic Oscillation (NAO), El Niño–Southern Oscillation (ENSO), Indian Ocean Dipole (IOD), Pacific Decadal Oscillation (PDO), Indian summer monsoon (ISM), and Southern Oscillation Index (SOI) in the time-frequency domain. Our findings indicate a significant increase in all EPEs across Pakistan, particularly in the monsoon region (R-II) from 1961 to 2017, with a noticeable decline post-1980s. The findings revealed a significant increase in EPEs in the whole country from 1961 to 1989 to 1990–2017, with a dominant change in the monsoon region during 1990–2017. In terms of climate indices combinations, IOD + ISM showed the highest coherences (>0.65), while ENSO+IOD + ISM and ENSO+IOD + PDO displayed coherences >0.81 and > 0.79, respectively, across the entire country. The multi-linear regression (MLR) model analysis drivers indicate that IOD and ENSO are the leading drivers of changes in monsoon EPEs in the whole country, whereas the core monsoon region of Pakistan also showed a strong influence from AMO and NAO in tandem with ENSO and IOD. The overall increase in EPEs over Pakistan are mainly associated with the indices from the Pacific Ocean, especially IOD, ENSO and PDO and with their various combinations. Our study reveals the variations in EPEs across Pakistan, yielding insights that could inform water resource management strategies and disaster prevention measures.

Pengembangan Potensi Curug Leuwi Pamipiran Sebagai Objek Wisata Melalaui Sosialisasi Penguatan Kelembagaan Di Desa Tanjungsari Kabupaten Ciamis

Management Community-based natural resource management and conservation is an effective approach in maintaining environmental sustainability and improving the welfare of local communities. This research aims to analyze the natural resource management and conservation strategies implemented by the people of Tanjungsari Village, Sadananya District, Ciamis Regency. The research method used is a qualitative approach with data collection techniques through in-depth interviews, participatory observation, and documentation studies. The results showed that the Tanjungsari Village community has developed various local initiatives to preserve water sources, and manage tourist attractions in the village. The active participation of the community in conservation activities, support from the local government, and cooperation with non-governmental organizations are key factors in the success of this program. The study concludes that a community-based approach to natural resource management is not only able to preserve the environment, but also contributes to improving the economic and social welfare of local communities. In addition to management, socialization was held. The implementation of these socialization activities is proven to increase the understanding and skills of the community in managing tourism potential in a sustainable manner. In addition, support from the local government and active participation of the community are important factors in the development of curug lewi pamipiran as a leading tourist attraction in Ciamis Regency. This study concludes that institutional strengthening through socialization and training is an effective strategy to optimize regional tourism potential, improve community welfare, and encourage local economic development.

Moderasi Organizational Embeddedness Pada Pengaruh Organizational Trust Terhadap Workplace Deviance

This study aims to analyze and prove the effect of organizational trust on workplace deviance and prove the role of organizational embeddedness in moderating the effect of organizational trust on workplace deviance. This research uses Path Analysis. Organizational Trust has a significant negative effect on Workplace Deviance. In this context, the higher the level of Organizational Trust felt by employees, the lower the level of deviant behavior in the workplace. Although Organizational Trust has a significant effect on Workplace Deviance, the results of hypothesis testing show that Organizational Embeddedness does not moderate this relationship. Organizational Embeddedness, which includes fit, relationship, and sacrifice in the organization, does not affect the strength or direction of the relationship between Organizational Trust and Workplace Deviance. Thus, interventions aimed at increasing Organizational Trust may directly impact the reduction of Workplace Deviance without the need to consider employees' level of Organizational Embeddedness. Although Organizational Embeddedness does not moderate this relationship, this finding confirms that employees' trust in the work team, work environment, and management is a major factor that needs to be considered by leaders. Thus, efforts to increase trust should be prioritized in human resource management strategies to create a positive work environment.

Assessing the effectiveness of regional environmental quality management

Purpose: is to present the author's modification of the methodology for assessing the effectiveness of regional environmental quality management, created on the basis of the approved regulatory, legal and methodological framework in the field of assessing the effectiveness of the activities of regional authorities.Methods: along with general scientific methods of information processing, comparative analogies and scientific generalization, analysis and synthesis, methods of content analysis of the regulatory framework, economic and statistical analysis, mathematical processing and visualization of data, as well as clustering techniques were used to unite regions into homogeneous groups that have common environmental quality characteristics.Results: the authors have performed the critical analysis of the methodology for calculating the indicator “Environmental Quality” within the framework of the approved regulatory and methodological framework in the field of assessing the effectiveness of the activities of regional authorities and identified its shortcomings; have developed proposals to eliminate them and modify the methodology. Based on publicly available information, a method for clustering regions by environmental quality was proposed and tested in the context of accepted determinants of environmental quality. The proposed modification of the methodology for assessing the effectiveness of regional management in terms of improving the calculation of the integral indicator “Environmental Quality” will improve the objectivity of assessing the quality of regional management of natural resources.Conclusions and Relevance: using the actual values of environmental quality indicators instead of indices of their dynamics and plan implementation will make it possible to cluster regions according to the proposed determinants of environmental quality. Comparison within a cluster of regions with similar natural and economic conditions will provide authorities with the opportunity to develop the natural resource management strategy and develop effective measures in the field of environmental management, taking into account the dynamics of the state of techno-natural systems.

Strategi Pengelolaan Sumber Daya Manusia untuk Menekan Perpindahan Tugas Pegawai

This study aims to find out human resource management strategies to reduce the transfer of employee duties. This research is a qualitative descriptive research, descriptive research does not provide treatment, manipulation or alteration to the variables studied, but describes a condition as it is. Data collection is carried out through observation, interviews, and documentation. Data analysis was carried out qualitatively consisting of data reduction, data presentation, and conclusion drawing. As a result of the previous discussions, the author concludes that effective HR management strategies to suppress the transfer of employee duties are a key factor in the success of the organization. By implementing the right strategies in human resource management, organizations can reap significant benefits, from increased productivity to better employee retention. It is important for organizations to continue to improve strategies in effective human resource management to reduce the transfer of employee duties in accordance with the development of the times and employee needs.

Securing water for arid regions: Rainwater harvesting and sustainable groundwater management using remote sensing and GIS techniques

Arid regions experience climatic stress under climate change: increased drought frequency coupled with intensified storm events. This disruption and lack of precipitation patterns leads to water scarcity and hinders the achievement of sustainable development goals. Egypt drainage basin exhibiting the greatest suitability for the implementation of rainwater harvesting (RWH) strategies. To facilitate the development of sustainable water resource management practices in the region, this study uses a multi-criteria methodology to delineate optimal zones for RWH within the Wadi Safaga. Integration of radar and optical remote sensing data obtained from Sentinel-1&2, Landsat-8, ALOS/PALSAR, and Sentinel-1 Interferometric SAR with climatic Tropical Rainfall Measuring Mission (TRMM), hydrological, and geological datasets emphasizes the hydrologic characteristics of the catchments. Additionally, the analysis of rainfall intensity patterns within the basin was undertaken. Thirteen factors are used in the predicted model including elevation, slope, curvature, depression, lithology, radar, InSAR CCD, drainage density (Dd), distance to river (DR), vegetation, topographic wetness index (TWI), rainfall, and lineament density. A knowledge-driven Geographic Information System (GIS) methodology, including weighted factors based on the Analytical Hierarchy Process (AHP), was implemented to delineate plausible areas for RWH and groundwater potential zones (GWPZs). The resultant map categorized the basin into five GWPZ classes: very low (14%), low (28%), moderate (27%), high (21%), and very high (10%). Furthermore, the study identified optimal locations for constructing reservoirs to store harvested rainwater and provide protection for downstream mining, industrial, and tourism activities. In conclusion, the obtained information is crucial for planners and decision-makers to implement sustainable water resource management strategies within the Wadi Safaga basin.

Competency-Based HR Management Strategy in the Digital Era: Systematic Literature Review

This research conducts a systematic literature review (SLR) to explore competency-based human resource management (HRM) strategies in the digital era. The analysis reveals that developing digital competencies ranks high on the agenda for many organizations. Continuous investment in training and development programs to enhance employees' digital skills is deemed crucial. Moreover, fostering a work environment conducive to creativity and flexibility is emphasized, where employees are empowered to innovate and swiftly adapt to technological advancements. The study also identifies generational disparities in the workplace as a determinant influencing training and development methodologies. Millennials, for instance, exhibit greater receptivity to technology- driven and interactive learning modalities, necessitating adaptable trainin g strategies that cater to diverse learning preferences. Integrating technology into HR management systems emerges as a pivotal step. Advanced HR management information systems facilitate efficient handling of employee data, streamline competency tracking, and pinpoint training requisites with greater precision. Technologies such as big data and analytics additionally furnish profound insights into employee performance and areas ripe for enhancement. In conclusion, this study underscores that competency-based HRM strategies in the digital era must be agile, innovative, and technology-enabled. Organizations proficient in deploying these strategies are better positioned to confront challenges and harness opportunities arising from digital transformation. The findings offer crucial insights for HR management practitioners to craft and implement effective HR development strategies tailored for the digital age, aligning with Sustainable Development Goals (SDGs) like SDG 8 (Decent Work and Economic Growth) and SDG 9 (Industry, Innovation, and Infrastructure).

Challenges and way forward in the handling and disposal of battery waste: Towards sustainable practices

The management and disposal of battery waste, particularly lead-acid batteries, present numerous challenges that must be addressed to ensure environmental protection, public health, and sustainable resource management. This thesis examines the multifaceted nature of these challenges and explores potential solutions for sustainable battery management. Drawing on insights from prior research, field observations, stakeholder interviews, and literature reviews, the study synthesizes existing knowledge to inform strategies for mitigating the environmental, safety, and economic impacts associated with battery waste. The current scenario on battery waste management highlights significant challenges, including environmental pollution, health risks, safety hazards, recycling challenges, regulatory compliance issues, technological limitations, infrastructure constraints, and the need for public awareness and education. Countermeasures to address these challenges encompass regulatory interventions, technological innovations, infrastructure development, capacity building, and public engagement initiatives. By integrating findings from diverse sources, this thesis aims to contribute to the existing knowledge base on battery waste management and propel strategies for sustainable resource management.

Is human resources management sustainable enough? Evidence from the food industry

PurposeBased on the Natural resource-based view (NRBV), this study aims to analyze the association between the Sustainable Development Goals related to Gender Equality, Decent Work, Innovation, and Climatic Action in the Food Industry.Design/methodology/approachA quantitative study is adopted based on the 2019 World Bank Enterprise Survey microdata. The database includes 1,242 food enterprises from 16 European Union countries. We applied logistic regression with cluster robust standard errors.FindingsDespite global efforts to promote decent work and gender equity, the anticipated results have not yet been achieved, suggesting varying performance in different contexts. Food firms, characterized by significant environmental impacts and seasonal tasks, employ diverse Human Resource Management (HRM) strategies based on whether they pursue innovation or environmental objectives. Grounded in the NRBV, our findings underscore the importance of investing in qualified workers and offering attractive wages to meet environmental goals, as well as providing stable contracts for female workers. The NRBV framework also highlights the crucial role of product and process innovations, whether green or not, in achieving climate action objectives.Practical implicationsEuropean policies must be adapted to the human resources characteristics in the food industry, providing specific training on environmental and innovation issues and contributing to more work stability and gender equality.Originality/valueOur study applies the NRBV to analyze how human resources and product/process innovations can boost environmental preservation in an industry characterized by strong environmental impacts, seasonal tasks, and financial constraints.

Remote Sensing Assessment of Water Resources, Vegetation, and Land Surface Temperature in Eastern Saudi Arabia: Identification, Variability, and Trends

Saudi Arabia has one of the biggest water shortages and the least vegetation in the world, which is presumed to provoke this problem further due to climate change. Therefore, the present study investigates the water, vegetation, and temperature over Al-Asfar Lake region, Al Ahsa, Eastern province of Saudi Arabia using the Normalized Difference Water Index (NDWI), Normalized Difference Vegetation Index (NDVI), and Land Surface Temperature (LST: °C) from Landsat-8 based operational land imager (OLI) measurements for the period 2013 to 2023. This study presented annual and seasonal (dry months: June–September and wet months: December–April) spatiotemporal distribution and variations, calculated their absolute change and trends, and examined their relationship. Results showed positive NDWI values over Al-Asfar Lake, indicating waterbodies; while positive NDVI values on the lake's bank, signifying vegetation. Notably, there were significant temporal variations in water and vegetation observed on annual, seasonal, and monthly scales. The study also found an overall decrease in vegetation areas of 5.36 km2 in 2023 compared to 2013, while waterbodies increased by 8.83 km2. The trend analysis using area-averaged data demonstrated that NDWI increased on annual (0.0075/year) and seasonal (dry: 0.0083/year and wet: 0.0049/year) scales, while NDVI decreased (annual: 0.0066/year, dry: 0.0083/year, and wet: 0.0009/year). Moreover, LST was recorded least amount over waterbodies (28.23 °C) and vegetation (32.45 °C) covered areas compared to the entire lake region (38.43 °C), respectively. Remark, LST displayed decreasing trends over waterbodies (−0.05/year), followed by vegetation (−0.17/year), and the entire lake region (−0.0001/year), signifying that water and vegetation are vital components to controlling land surface temperature in this region. Finally, the LST showed a positive correlation with NDVI and negative correlation with NDWI. There may be a direct and indirect impact of climate change upon NDVI, LST, and NDWI as shown by the decreases in NDVI and LST and an increase in NDWI. This study can be considered as a base document to monitor waterbodies, vegetation cover, and temperature changes using remote sensing measurements of NDWI, NDVI, and LST, which will assist policymakers in developing water resource management, irrigation planning, and environmental monitoring strategies.

Peran Kepala Sekolah dalam Mengelola Sumber Daya Manusia untuk Meningkatkan Mutu Pendidikan di SMAN 5 Payakumbuh

Efficient human resources management is essential for the effective functioning of educational institutions. Therefore, it is essential for the head of school to have a clear approach to managing human capital effectively within educational institutions. It is essential to improve educational standards and enable institutions to effectively compete with others in the field of technological advances and contemporary developments. The study uses descriptive qualitative methodology, specifically using case study research design. The location of this research is in SMAN 5 Payakrasuh. The analysis revealed that the head of school carefully implemented a series of actions to establish a human resource management strategy for teachers. The first step involves developing a strong character, understanding the purposes and objectives of the institution, enhancing the expertise of the instructor, encouraging partnerships with other institutions, and building efficient communication with student guardians. One measure involves enhancing human resource development by conducting workshops and courses, both inside and outside the institution. The main emphasis lies on the methodology used by the head of school in overseeing instructors to improve the caliber of secondary education institutions. Quality education strategies in educational institutions are developed by involving instructors and implementing internal and external initiatives. The main challenge faced by school administrators in implementing their strategy is the existence of instructors who are satisfied with their existing level of expertise and resist to acquire new knowledge. Therefore, teachers must have strong motivational abilities to inspire these educators to enhance their talents, along with a deep understanding of their psychological conditions to optimize their performance.

Optimizing the management of multiple water resources in irrigation area under uncertainty: A novel scenario-based multi-objective fuzzy-credibility constrained programming model

Effective water resources management is vital for sustainable development, healthy ecosystems, stable socio-economic, and human well-being. However, managing water resources faces challenges due to the involvement of multiple stakeholders and uncertainties in various hydrologic fluxes. This complexity makes it rare for research to simultaneously address the hidden uncertainties in both objectives and constraints. Here, we developed a scenario-based multi-objective fuzzy-credibility constrained programming approach and applied it to the water resource management system (SMOFCP-WRMS) of the Zhaokou Yellow River Diversion Irrigation Area Phase II Project (ZKID-II). This method handles uncertainties represented by scenarios and fuzzy sets, while also resolving fuzzy uncertainty parameters within the multiple objectives and constraints of the model. We solve the SMOFCP-RWMS model by integrating the Nondominated sorting genetic algorithm III (NSGA-III) and compromise programming (CP) method. The results show that: (1) An increase in constraints violation risks (credibility level from 0.5 to 1.0) results in a decrease in water resources allocation and pollutant discharge by 25.95 × 106 m3 and 207.63 tonne, respectively, accompanied by a decline in net economic income by 68.04 × 106 CNY; (2) From extraordinary dry year to normal year (design frequencies from 95 % to 50 %) leads to a reduction in water shortage by 167.07 × 106 m3. Incorporating ‘credibility levels’ and ‘design frequencies’ would be beneficial for addressing uncertainties, including fuzzy information and discrete possibilities for the future; (3) Regarding the multi-objective model solution, the combined NSGA-III and CP approach demonstrates an average increase of 1.71 % in net economic benefits and 5.91 % in total pollution discharge, along with a 6.77 % reduction in the water deficit ration compared to the traditional CP method. Although the ecological benefits decrease slightly in the compromise-optimal solutions using the combined NSGA-III and CP method, the economic and social benefits are improved compared to those from the combined NSGA-II and CP method. This study provides valuable decision-making guidance for water resources managers in irrigated areas, aiding them in balancing economic, social, and ecological benefits, and enabling the section of an optimal water resources management scheme based on acceptable risk levels under various uncertain conditions.

Resource Requirements in a Burn Mass Casualty Event

Burn mass casualty event occurrences are rare but will place significant burdens on any burn unit or healthcare system. Effective disaster preparedness plays a significant role in mitigating the aftermath of a burn mass casualty. The aim of this study was to assess the resource requirements during the initial two weeks of a burn mass casualty event. Eight patients in a burn mass casualty event were simulated using the Emergo Train System®. These simulated patients were matched with real historical patients treated in our burn centre, and their resource requirements were analysed. An average of eight staff is required to care for a patient per day along with almost 75 h of operating time (excluding anaesthesia and turnover time). A substantial quantity of consumables was used in the first two weeks. This study has demonstrated the substantial material consumption and staff requirements in the first two weeks of management in a burn mass casualty event. Such findings will offer valuable insight for disaster preparedness planning and resource management strategies.

Multi-step-ahead prediction of water levels using machine learning: A comparative analysis in the Vietnamese Mekong Delta

This study evaluates the efficacy of five machine learning algorithms Support Vector Regression (SVR), Decision Tree (DT), Random Forest (RF), Light Gradient Boosting Machine Regressor (LGBM), and Linear Regression (LR) in predicting water levels in the Vietnamese Mekong Delta's tidal river system, a complex nonlinear hydrological phenomenon. Using daily maximum, minimum, and mean water level data from the Cao Lanh gauging station on the Tien River (2000-2020), models were developed to forecast water levels one, three, five, and seven days in advance. Performance was assessed using Nash-Sutcliffe Efficiency, coefficient of determination, Root Mean Square Error, and Mean Absolute Error. Results indicate that all models performed well, with SVR consistently outperforming others, followed by RF, DT, and LGBM. The study demonstrates the viability of machine learning in water level prediction using solely historical water level data, potentially enhancing flood warning systems, water resource management, and agricultural planning. These findings contribute to the growing knowledge of machine learning applications in hydrology and can inform sustainable water resource management strategies in delta regions.