Resource Model Research Articles

Living in mangroves: a syntrophic scenario unveiling a resourceful microbiome

BackgroundMangroves are complex and dynamic coastal ecosystems under frequent fluctuations in physicochemical conditions related to the tidal regime. The frequent variation in organic matter concentration, nutrients, and oxygen availability, among other factors, drives the microbial community composition, favoring syntrophic populations harboring a rich and diverse, stress-driven metabolism. Mangroves are known for their carbon sequestration capability, and their complex and integrated metabolic activity is essential to global biogeochemical cycling. Here, we present a metabolic reconstruction based on the genomic functional capability and flux profile between sympatric MAGs co-assembled from a tropical restored mangrove.ResultsEleven MAGs were assigned to six Bacteria phyla, all distantly related to the available reference genomes. The metabolic reconstruction showed several potential coupling points and shortcuts between complementary routes and predicted syntrophic interactions. Two metabolic scenarios were drawn: a heterotrophic scenario with plenty of carbon sources and an autotrophic scenario with limited carbon sources or under inhibitory conditions. The sulfur cycle was dominant over methane and the major pathways identified were acetate oxidation coupled to sulfate reduction, heterotrophic acetogenesis coupled to carbohydrate catabolism, ethanol production and carbon fixation. Interestingly, several gene sets and metabolic routes similar to those described for wastewater and organic effluent treatment processes were identified.ConclusionThe mangrove microbial community metabolic reconstruction reflected the flexibility required to survive in fluctuating environments as the microhabitats created by the tidal regime in mangrove sediments. The metabolic components related to wastewater and organic effluent treatment processes identified strongly suggest that mangrove microbial communities could represent a resourceful microbial model for biotechnological applications that occur naturally in the environment.

An Interconnected Human Resources Model Development of Intercultural Competence in the Educational Activities of a Manager

An Interconnected Human Resources Model Development of Intercultural Competence in the Educational Activities of a Manager

Improving the resource modeling results using auxiliary variables in estimation and simulation methods

Improving the resource modeling results using auxiliary variables in estimation and simulation methods

A methodological study on the identification of ecological security change processes and zoning control strategies —— Based on the perspective of sustainable development

Ecological security (ES) is a crucial indicator for assessing the sustainable development of a region. Currently, most studies on ES primarily focus on process analysis, and the integration of environmental variability into the development of tailored control strategies for regions with varying ecological quality is overlooked. Therefore, in this study, we identified regional ES change processes, employed an optimized system to calculate the ecological security index (ESI), and identified ecological corridors (ECs) through the Minimum Constrained Resource (MCR) model to determine zoning strategies for typical arid regions, using the Ningxia region in the Yellow River Basin of China as an example. The findings showed that (1) from 2006 to 2020, the ESI values of most regions were between 0.2 and 0.4, with small but consistent increases in the ESI values over the years. (2) The proportion of regions with high ES ratings increased by 9.08 % across all districts and counties, and the center of gravity of ES shifted in a north–south and east–west direction. (3) The ESI exhibited a strong positive spatial correlation, characterized by spatial diffusion and spillover effects in most regions. (4) The ECs were predominantly distributed in a north–south direction, involving a total of 20 districts and counties. Based on the principles of sustainable development, we developed a model for the dynamic identification and zoning control of regional ES, aiming to provide a practical framework for effective ecological restoration and protection measures. Additionally, the strategies and methodologies presented in this study serve as important references for similar regions worldwide to facilitate the zoning control of ES, highlighting the broader significance and applicability of the study.

Unveiling the Dynamics: Exploring User Affective and Behavioral Responses to Social Media.

Social media has outperformed traditional media as a source of interpersonal and masspersonal communication tools. The extant literature offers valuable knowledge on the positive and (or) negative attributes of social media and their ultimate effects on users' affective and behavioral responses. However, it is unclear how the positive and negative attributes of social media affect users' responses simultaneously. Drawing on the newly proposed social media demands and resources (SMD-R) model, the present study examined the positive and negative attributes of social media on the affective outcomes of social media fatigue (hereafter SM fatigue) and SM engagement (hereafter SM engagement) and behavioral outcomes of users in a single integrated framework. Data were gathered from 235 social media users in the Republic of Korea (hereafter Korea) to test the proposed framework. Partial least square structural equation modeling (PLS-SEM) was conducted, and the results showed that SM demands positively related to SM fatigue and negatively related to SM engagement. SM resources positively related to SM engagement and did not affect SM fatigue. SM fatigue positively related to SM discontinuous intention and negatively related to SM loyalty. Finally, SM engagement positively related to SM loyalty and negatively related to SM discontinuous intention. These findings contribute to the social media literature by proposing and empirically testing the SMD-R model, which integrates SM demands, SM resources, and the affective and behavioral responses of users.

Using MODFLOW to Model Riparian Wetland Shallow Groundwater and Nutrient Dynamics in an Appalachian Watershed

Simulating shallow groundwater (SGW) flow dynamics and stream–SGW interactions using numerical modeling tools is necessary to develop a mechanistic understanding of water flow systems and improve confidence in water resource management practices. A three-dimensional (3D) SGW flow model was developed for a riparian wetland in a mixed forest and agricultural catchment in West Virginia (WV), Appalachia, USA, using a Modular 3D Groundwater Model (MODFLOW). The MODFLOW simulation was calibrated in steady (R2 = 0.98, ME = −0.21, and RMSE = 0.77), transient state (R2 = 0.97, ME = −0.41, and RMSE = 1.28) and validated (R2 = 0.97, ME = −0.28, and RMSE = 1.05) using observed SGW levels from thirteen nested piezometers under steady and transient states. An experimental MT3D transport scenario was developed to show the lateral transport of NO₃-N from the aquifer to stream cells. Relatively stable SGW head distribution was observed. In the downstream reach, SGW discharge varied from 948 m3/day to 907 m3/day in 2020, with creek seepage ranging from 802 m3/day to 790 m3/day. Similarly, SGW input to the stream ranged from 891 m3/day to 978 m3/day, while creek seepage ranged from 796 m3/day to 800 m3/day in 2021. In upstream reaches, losing stream conditions were observed in January, June, and September 2020 and January to April 2021, while gaining stream conditions prevailed during other months. Thus, an approximately monthly alternating gaining–losing stream condition was observed in the upstream area. An experimental MT3D transport scenario resulted in an advection–dispersion scenario, showing a cumulative loss of 947 g of NO3-N from SGW to the stream. Denitrification accounted for the cumulative loss of 1406 g of NO3-N from SGW, surpassing 639 g of nitrate from the SGW to the stream during the study period. Additionally, particle tracking using MODPATH indicated a long residence time for SGW nutrients, affirming the efficiency of nitrogen transformation through denitrification. This study is among the first to simulate hydrologic and nutrient interactions in riparian wetlands of a mixed land use catchment in the Appalachian region of the northeastern United States. The results better inform water resource management decisions and modeling efforts in the Appalachian region and similar physiographic regions globally.

Expanding the Demand–Resource Model by an Anthropo-Organizational View: Work Resilience and the “Little Prince” and the “Self-Accountant” Approach

Expanding the Demand–Resource Model by an Anthropo-Organizational View: Work Resilience and the “Little Prince” and the “Self-Accountant” Approach

The role of school leader support on teacher’s engagement during intervention implementation

ABSTRACT Teacher engagement in the implementation phase of educational interventions has been demonstrated as fundamental to the success of an intervention. However, less is known about what resources or processes can support teacher’s work engagement at this critical time period. In this study, we investigated the role of school leader support on teacher engagement during the implementation of a complex co-teaching intervention for literacy improvement. Data were collected from 150 elementary classrooms from 53 municipalities in southern Norway. Grounded in the Job-Demands Resource model, we used structural equation modeling to investigate associations between leader support, teachers’ perceived usefulness of the co-teaching intervention, and teachers’ work engagement. Contrary to our hypothesis, school leader support was not directly associated with teachers’ work engagement. However, school leader support was positively associated with teachers’ perceived usefulness of co-teaching, and the perception of usefulness was positively related to teachers’ work engagement. In summary, the perceived usefulness of co-teaching fully mediated the association between leader support and teachers’ work engagement. These findings suggest that effective school leaders should inquire and prioritize about teachers’ belief systems when launching change efforts. Ideally, we recommend that teachers be part of the conversation and decision-making in the early stages of interventions.

Recent developments of demand‐side management towards flexible DER‐rich power systems: A systematic review

AbstractRecently, various distributed energy resources are significantly integrated into the modern power systems. This introduction of distributed energy resource‐rich systems can cause various power quality issues, due to their uncertainties and capacity variations. Therefore, it is crucial to establish energy balance between generation and demand to improve power system's reliability and stability and to minimize energy costs without sacrificing customers’ comfort or utility. In this regard, power system flexibility concept is highlighted as a robust and cost‐effective energy management system, especially on the demand side, to provide consumers’ demands with an acceptable level of power quality. Accordingly, here, a comprehensive review of recent developments in the power system flexibility and demand‐side management strategies and demand response programs are provided to include mainly classifications, estimation methods, distributed energy resource modelling approaches, infrastructure requirements, and applications. In addition, current research topics for applying power system flexibility solutions and demand‐side management strategies based on modern power system operation are deliberated. Also, prominent challenges, research trends, and future perspectives are discussed. Finally, this review article aims to be an appropriate reference for comprehensive research trends in the power system flexibility concept in general and in demand‐side management strategies and demand response programs, specifically.

Simplicial epidemic model with individual resource

The investment and rational use of medical resources are crucial for the prevention and control of epidemics. Here we propose a coupled dynamics model of individual resource and disease transmission on simplicial complexes that considers the dynamic changes of resource quantity during the spreading of the epidemic. Firstly, we derive the solutions (infection density) of the disease transmission dynamics equations under the mean-field approximation, and analyze their stability. We find that the number of stable solutions is related to the infection rates of both interactions and higher-order interactions, and we obtain the transmission threshold under different initial infection densities. Secondly, in the numerical simulation, we discover a double hysteresis loop of infection density as it evolves with the infection rate of interactions. Moreover, we find a critical value for the cost of disease recovery; when the recovery cost is above this critical value, the system state transitions from partial infection to complete infection. Interestingly, we find a maximum value for infection density when the system is in partial infection state. Finally, we verify the existence of the double hysteresis loop on real-world networks.

Assessing effects of climate and technology uncertainties in large natural resource allocation problems

Abstract. The productivity of the world's natural resources is critically dependent on a variety of highly uncertain factors, which obscure individual investors and governments that seek to make long-term, sometimes irreversible, investments in their exploration and utilization. These dynamic considerations are poorly represented in disaggregated resource models, as incorporating uncertainty into large-dimensional problems presents a challenging computational task. In this paper, we apply the SCEQ algorithm (Cai and Judd, 2023) to solve a large-scale dynamic stochastic global land resource use problem with stochastic crop yields due to adverse climate impacts and limits on further technological progress. For the same model parameters and bounded shocks, the range of land conversion is considerably smaller for the dynamic stochastic model than for deterministic scenario analysis.

Joint optimal allocation of regional water and land resources considering their mutual feed relationship

Water and land resources are indispensable prerequisites for the sustenance and advancement of human civilization. In recent decades, China has faced significant challenges in managing its water and land resources due to the intensifying competition resulting from rapid urbanization, industrialization, and population growth. The joint optimal allocation of water and land resources can effectively address these issues. However, there have been limited accomplishments in investigating the integrated water and land resources allocation system’s interaction with social, economic, and environmental development. This paper develops a novel joint optimal allocation model of regional water and land resources (JOAMRWLS). The model integrates water and land resources for integrated allocation, taking into account the mutual feed relationship between them, and thereby achieving comprehensive utilization and coordination of water and land resources within the region. Then a two-layer nesting algorithm based on successive approximation and nonlinear programming (SA-NLP) is proposed to solve the model, obtaining the regional optimal land use pattern and optimal water allocation scheme. Subsequently, this paper uses Luoyang City in Henan Province, China, as a case study to verify the proposed JOAMRWLS. The results indicate that the water volume and area of each land use type tend to stabilize after the fifth iteration of the calculation with a consistent water volume of 18.65 × 108 m3. Compared with the conventional optimization model of water resources (COMWR), the JOAMRWLS encompasses five cities experiencing water scarcity, whereas the latter includes twelve such cities. Furthermore, the economic benefit of the JOAMRWLS is 2.65 × 1011 CNY, surpassing that of the former at 2.56 × 1011 CNY, highlighting its superiority.

An Analysis of Hybrid Renewable Energy-Based Hydrogen Production and Power Supply for Off-Grid Systems

Utilizing renewable energy sources to produce hydrogen is essential for promoting cleaner production and improving power utilization, especially considering the growing use of fossil fuels and their impact on the environment. Selecting the most efficient method for distributing power and capacity is a critical issue when developing hybrid systems from scratch. The main objective of this study is to determine how a backup system affects the performance of a microgrid system. The study focuses on power and hydrogen production using renewable energy resources, particularly solar and wind. Based on photovoltaics (PVs), wind turbines (WTs), and their combinations, including battery storage systems (BSSs) and hydrogen technologies, two renewable energy systems were examined. The proposed location for this study is the northwestern coast of Saudi Arabia (KSA). To simulate the optimal size of system components and determine their cost-effective configuration, the study utilized the Hybrid Optimization Model for Multiple Energy Resources (HOMER) software (Version 3.16.2). The results showed that, when considering the minimum cost of energy (COE), the integration of WTs, PVs, a battery bank, an electrolyzer, and a hydrogen tank brought the cost of energy to almost 0.60 USD/kWh in the system A. However, without a battery bank, the COE increased to 0.72 USD/kWh in the same location because of the capital cost of system components. In addition, the results showed that the operational life of the fuel cell decreased significantly in system B due to the high hours of operation, which will add additional costs. These results imply that long-term energy storage in off-grid energy systems can be economically benefited by using hydrogen with a backup system.

“A good night’s sleep!” How do remote workers juggle work and family during lockdown? Some answers from a French mixed-methods study

This study, based primarily on job demands–resources model in the context of recovery, uses a mixed methods approach to examine the role that some work and family demands and boundary management tactics play in explaining work-nonwork balance and some related constructs, while also accounting for gender inequalities. The research involved 553 remote workers during the first lockdown in France caused by the COVID-19 pandemic. The results confirmed that a high number of work-related emails or phone calls outside of working hours and the constant presence of children at home were risk factors; conversely, good supervisor support was positively related to recovery experiences and negatively related to work-family conflict and insomnia. Women reported higher levels of insomnia symptoms and had more difficulty disengaging from work and restoring their energy than men. The use of effective tactics– planning, having your own space to work, coordinating with your partner - was made more difficult by workload, use of technology, demands at home, the size of the home and, for women, likely gender inequalities.

Mechanisms of Organizational Mindfulness on Employee Well-Being and Engagement: A Multi-Level Analysis

This article investigates the currently limited multidisciplinary research front in emerging areas of mindfulness practice, employee well-being, and engagement. This evidence-based study aims to explore multifaceted mechanisms on how an organizational mindfulness development may affect well-being and engagement at multiple levels. This study employed a qualitative case study research design using Nvivo 12 software for a data analysis. The job demand–resource (JD-R) model was adopted as a theoretical framework. In-depth interview data were collected from diverse multi-stakeholders, including management and employees, in a Thai manufacturing company. Our findings uncover that the organizational mindfulness program can improve employee’s psychological capital, emotional intelligence, and perceived resources, and alleviate perceived demands. The result implies the importance of the mindfulness practice since it can support well-being and engagement at multiple levels, specifically from individual work and a collective team of colleagues, and toward enhanced organizational performance. Our proposed emergent model also advances the JD-R theoretical framework, by adding mindfulness and emotional intelligence as essential components to enhance engagements at three levels (i.e., work, team, and organizational engagement). Overall, the result critically provides the theoretical development and insightful managerial implications for professional and organizational development.

A DRL-Based Service Offloading Approach Using DAG for Edge Computational Orchestration

Edge infrastructure and Industry 4.0 required services are offered by edge-servers (ESs) with different computation capabilities to run social application's workload based on a leased-price method. The usage of Social Internet of Things (SIoT) applications increases day-to-day, which makes social platforms very popular and simultaneously requires an effective computation system to achieve high service reliability. In this regard, offloading high required computational social service requests (SRs) in a time slot based on directed acyclic graph (DAG) is an NP-complete problem. Most state-of-art methods concentrate on the energy preservation of networks but neglect the resource sharing cost and dynamic subservice execution time (SET) during the computation and resource sharing. This article proposes a two-step deep reinforcement learning (DRL)-based service offloading (DSO) approach to diminish edge server costs through a DRL influenced resource and SET analysis (RSA) model. In the first level, the service and edge server cost is considered during service offloading. In the second level, the R-retaliation method evaluates resource factors to optimize resource sharing and SET fluctuations. The simulation results show that the proposed DSO approach achieves low execution costs by streamlining dynamic service completion and transmission time, server cost, and deadline violation rate attributes. Compared to the state-of-art approaches, our proposed method has achieved high resource usage with low energy consumption.

Concept and Implementation Model Multicultural Islamic Education FKUB Balikpapan City in Developing a Tolerant Attitude

In Balikpapan City as a city whose level of diversity is so complex, it cannot be separated from social problems that can lead to social disintegration. The preventive action taken by the Balikpapan City Government is to build a partnership between the Balikpapan City Religious Ummah Communication Forum (FKUB). The Balikpapan City Government's step in starting with FKUB is a strategic step in strengthening multicultural values to anticipate the disintegration of socialization. The review of this paper is based on the results of research with a qualitative descriptive approach to the phenomena and facts that occur at the research locus. Using this type of phenomenology, the author reveals the concepts built and models implemented about the values of multicultural Islamic education in Balikpapan City. The existence of the term multicultural as a social term that views cultural equality, then multicultural value in the context of Islamic teachings is the concept of social ethics in covering cultural diversity according to the views of Islamic teachings. The values developed and most crucial are: Silaturrahim, please help, equality and equal rights, justice and care. In instilling Islamic education values, the models and multicultural approaches carried out by FKUB Balikpapan City are: a. Interreligious Dialogue Model, b. Social Action Model, c. Empowerment and Engagement of Social Resources Model 1. In developing the tolerant attitude of the people of Balikpapan City, FKUB takes a role by instilling and strengthening the values of multicultural Islamic education. 2. The values of multicultural Islamic education become crucial values in a society with such a complex level of plurality as in Balikpapan City. 3. In instilling and strengthening the values of Islamic education, the multicultural model carried out by FKUB Balikpapan City is the Interfaith Dialogue Model, Social Action Model, Empowerment Model and Social Resource Involvement.

The effect of job and personal demands and resources on healthcare workers' wellbeing: A cross-sectional study.

The COVID-19 pandemic presented many psychological stressors which affected healthcare worker wellbeing. The aim of this study was to understand the factors that affect the wellbeing of healthcare professionals in the Kingdom of Saudi Arabia using Job-Demand and Resource (JD-R) Model. The proposal model consisted of demand factors (Work load-job demand, loneliness-personal demand), support factors (organizational support-job resource, and resilience-personal resource), mediators (burnout and work engagement), and outcome (wellbeing) A cross-sectional, descriptive study was conducted across 276 healthcare workers from hospitals and primary healthcare centers, including healthcare professionals, health associate professionals, personal care workers, health management and support personnel, and health service providers, and others between February-March 2022. The proposed model was tested using partial least squares structural equation modeling. Among the respondents, the majority were female (198, 71,7%), married (180, 65.2%), healthcare professionals (206, 74.6%), being more than 10 years in the profession (149, 51.6%), and non-Saudi nationality (171, 62.0%). Burnout accounted for a significant effect on wellbeing. Of the demands (workload and loneliness) and the resources (organizational support and resilience), workload had the greatest impact on burnout. Healthcare organizations should invest in reducing workloads and promoting resilience to reduce burnout and increase healthcare worker wellbeing.

Social support from manager and co-workers in relation to registered nurses' work motivation in three healthcare settings: A cross-sectional study of a Swedish national sample.

Having more registered nurses (RNs) leave their workplace, with a shortage of RNs in healthcare as a consequence, might pose a risk to patient safety. According to the Job Demands Resource model, social support is a resource that can enhance work motivation, and if RNs are motivated at work, their willingness to remain in the workplace may increase. The aims were to explore (1) differences in RNs' experiences of social support from their immediate manager and co-workers between different healthcare settings, (2) associations between RNs' experiences of social support and aspects of work motivation, and (3) if these associations differed in strength between healthcare settings. A cross-sectional study design. A stratified population of Swedish RNs, n = 2290, working in either hospitals, primary care, or home healthcare, responded to a survey in 2022. Chi-squared tests and linear and logistic regression analyses were used to analyze the data. Interaction was measured by adding an interaction term to the fully adjusted regression models. The findings' generalizability was strengthened by including calibrating weights in all analyses. RNs in primary care reported higher social support from their immediate manager than RNs in hospitals and home healthcare. RNs in home healthcare reported lower social support from co-workers than RNs in hospitals and primary care. There were statistically significant associations between higher levels of social support from the immediate manager and co-workers, respectively, and higher ratings in all aspects of work motivation: work engagement (manager: beta coefficient [b] = 0.08, confidence interval [CI] 95% = 0.05; 0.10; co-workers: b = 0.12, CI 95% = 0.08; 0.16), job satisfaction (manager: b = 0.24, CI 95% = 0.21; 0.27; co-workers: b = 0.22, CI 95% = 0.16; 0.28), opportunities to provide high-quality care (manager: b = 0.15, CI 95% = 0.11; 0.18; co-workers: b = 0.19, CI 95% = 0.13; 0.24), satisfaction with the employer (manager: b = 0.46, CI 95% = 0.42; 0.50; co-workers: not statistically significant) and intention to remain at the workplace (manager: odds ratio = 1.89, CI 95% = 1.69; 2.13; co-workers: odds ratio = 1.42, CI 95% = 1.17; 1.72). The associations differed in strength between hospitals, primary care, and home healthcare. Strengthening social support from the immediate manager and co-workers appears to be a way to increase RNs' work motivation, including their intention to remain at the workplace. This may be important, particularly in primary care and home healthcare. To strengthen RNs' work motivation and willingness to stay in the workplace, it appears important for healthcare organizations to provide RN social support.

Personalised Recommendation of Literary Learning Resources Based on a Mixed Recommendation of Learning Interest and Contextual Awareness

In an effort to improve the efficiency and recommendation accuracy of mobile learning resources, the study proposes a hybrid mobile learning strategy based on Collaborative Filtering (CF), context and interest. Analyse from the perspective of situational awareness, construct a personalised recommendation model for text learning resources based on GimbalTM, and obtain a recommendation form. The experimental results show that the RMSE and MAE of Context-Collaborative filtering (C-CF) are lower than those of traditional CF. The Precision and Recall values of C-CF are higher than those of CF at 10 s, the recommendation growth rates of traditional CF and C-CF are 2.09% and 1.67%, respectively. The Gimbal software enables a certain degree of learner location detection and can trigger contextual rules based on time and location contexts to provide users with personalised text-based learning resources. The research results indicate that in specific applications, over time, under the recommendation system, students’ grades steadily increase, which is also beneficial for improving their learning efficiency.