Conceptual Model Research Articles

Global Kingdom Citizenship: A Model of Holistic Intercultural Competence Development

In this article, we provide Christian higher education administrators and faculty with an emerging conceptual model for the development of global kingdom citizens. Cultivating global kingdom citizens requires intentionality in both the curricular and co-curricular realms of Christian higher education, utilizing a holistic intercultural competence development framework as a heuristic. While some institutions may be focused on developing the intercultural competence (IC) of their constituents, others have rejected that term in favor of a more biblical-sounding term—cultural humility (CH). Still others, following the frameworks of a popular Christian businessperson, have preferred to employ the construct of cultural intelligence (CQ). In comparing the philosophical underpinnings and components of these three widely used intercultural competence frameworks, we posit that the cultivation of global kingdom citizens can best be achieved by combining current models into a holistic model entitled Global Kingdom Citizenship (GKC). We likewise propose that this holistic approach is better aligned with the spiritual objectives of Christian higher education, as it appropriately addresses the development of intercultural knowledge, skills, and attitudes for today’s students.

Determining Appropriateness of Total Joint Arthroplasty for Hip and Knee Osteoarthritis: A Patient-Centred Conceptual Model.

Total joint arthroplasty (TJA) for osteoarthritis is one of several treatment options with benefits and harms that patients value differently. However, the process for determining TJA appropriateness does not sufficiently acknowledge patient perspectives. The aim of this paper is to propose an evidence-informed patient-centred conceptual model for elective TJA appropriateness for hip and knee osteoarthritis. Our interprofessional team developed a conceptual model for determining the appropriateness of adults considering elective TJA. The model was informed by a review of the evidence, a qualitative study we conducted with adults who underwent TJA for osteoarthritis to determine barriers and facilitators to the use of appropriateness criteria, and the research and clinical experience of team members. Appropriateness is providing health services (e.g., TJA) with net benefits to the right patient at the right time. The proposed Patient-centred Elective TJA Appropriateness Conceptual Model involves three key steps. First, assess adults with osteoarthritis to determine eligibility for TJA. Second, acknowledge the patient's informed preferences including their expectations and goals. Third, explore and support their mental and physical readiness for TJA. Given that osteoarthritis is a chronic condition, these steps can be revisited over time with patients. Our proposed conceptual model reconceptualises the appropriateness of TJA to be more patient-centred. Hence, this approach has the potential to be a more inclusive approach and ensure patients undergoing TJA are eligible, ready to proceed, and achieve what matters most to them. Future research is needed to test and validate the model.

A conceptual framework for landscape-based environmental risk assessment (ERA) of pesticides

While pesticide use is subject to strict regulatory oversight worldwide, it remains a main concern for environmental protection, including biodiversity conservation. This is partly due to the current regulatory approach that relies on separate assessments for each single pesticide, crop use, and non-target organism group at local scales. Such assessments tend to overlook the combined effects of overall pesticide usage at larger spatial scales. Integrative landscape-based approaches are emerging, enabling the consideration of agricultural management, the environmental characteristics, and the combined effects of pesticides applied in a same or in different crops within an area. These developments offer the opportunity to deliver informative risk predictions relevant for different decision contexts including their connection to larger spatial scales and to combine environmental risks of pesticides, with those from other environmental stressors. We discuss the needs, challenges, opportunities and available tools for implementing landscape-based approaches for prospective and retrospective pesticide Environmental Risk Assessments (ERA). A set of “building blocks” that emerged from the discussions have been integrated into a conceptual framework. The framework includes elements to facilitate its implementation, in particular: flexibility to address the needs of relevant users and stakeholders; means to address the inherent complexity of environmental systems; connections to make use of and integrate data derived from monitoring programs; and options for validation and approaches to facilitate future use in a regulatory context. The conceptual model can be applied to existing ERA methodologies, facilitating its comparability, and highlighting interoperability drivers at landscape level. The benefits of landscape-based pesticide ERA extend beyond regulation. Linking and validating risk predictions with relevant environmental impacts under a solid science-based approach will support the setting of protection goals and the formulation of sustainable agricultural strategies. Moreover, landscape ERA offers a communication tool on realistic pesticide impacts in a multistressors environment for stakeholders and citizens.

Consistent solutions for simultaneous dynamic water, solute, stable isotope and radon balances to estimate average exchange fluxes between surface water bodies and groundwater

Many papers show that water, conservative solute, stable isotope and radon balances can be applied to the study of surface water – groundwater interaction. When undertaken simultaneously, such analysis provides an even more powerful method for estimating groundwater inflows and outflows, i.e. the exchange fluxes that for most people are hardest to estimate. The overarching objective of this paper is to provide practitioners with a consistent conceptual and simulation modelling framework with which to achieve a rapid initial understanding of surface water – groundwater interaction, as well as to guide the efficient and targeted acquisition of field data. This paper makes several important contributions. First, after an introduction that explains the complexities of groundwater flow patterns near surface water bodies, a set of general balance equations is developed using consistent terminology and notation. Second, after focusing on a simple conceptual model with steady groundwater inflow I, groundwater outflow O, precipitation P and ever-present evaporation E, analytical solutions are developed for transient and steady state conditions: one water balance solution is found to apply in all situations; solutions for the solute balance equation are developed for 23 different subcases; a transient balance equation for stable isotopes written terms of 1+δ is found to apply in all situations; and a new transient solution for radon is found in terms of the upper incomplete gamma function. On the path towards developing the isotope balance equation, we present a rigorous approach, based on coupled nonlinear balance equations for abundant and rare isotope pairs (1H and 2H, then 16O and 18O), using isotope ratios and the fractions of each isotope. Third, we describe a Lake Water Balance Calculator (LWBC) written using GoldSim simulation software, a tool to help others to conduct the simultaneous analyses that we promote; we use GoldSim’s numerical methods to solve the general balance equations, we implement the analytical solutions to demonstrate that both GoldSim’s numerical methods and the analytical solutions are correct, and we also show that the 1+δ approximation is equivalent to the rigorous coupled equations, at least for heavy stable isotopes with very low abundance. Fourth, we describe field studies: we provide three examples of applications of LWBC to short-term studies of Perry Lakes East, Lake Jasper and Georgetown Billabong in Australia; we then describe WSIBal, a simulation model based on the same balance equations and describe its application to Lake Jasper over a 19-year period; finally, we describe R-WSIBal, which evolved from WSIBal, and explain its application to 2500 km of the Murray River in Australia.

Study of low-level wind shear at a Qinghai-Tibetan Plateau airport

The Qinghai-Tibetan Plateau (QTP) is recognized as the world's largest and highest plateau, characterized by intricate topography and underlying surfaces. Within this region, volatile meteorological conditions and severe synoptic systems, including thunderstorms, turbulence, sandstorms, and notably low-level wind shear (LLWS), present safety hazards to aviation operations. Therefore, a comprehensive examination of wind shear at typical QTP airports is essential. Xining Caojiapu International Airport (ZLXN) serves as a crucial transportation hub in the northeastern QTP. The frequent incidence of LLWS events due to the airport's unique geographical and meteorological features makes it an ideal location for investigating LLWS on the plateau. This study analyzed 80 pilot reports collected from 2016 to 2021 to elucidate the spatial and temporal characteristics of LLWS events at this plateau-valley airport. Subsequently, reanalysis data and observations from ground automated weather observing systems (AWOS), a geostationary satellite, a Doppler weather radar (DWR), and a Doppler wind lidar (DWL) were comprehensively employed to investigate the underlying meteorological factors and weather patterns associated with these LLWS events. The findings revealed that LLWS events at ZLXN are predominantly triggered by convective systems, followed by cold fronts and downward momentum transportation, with a smaller proportion being induced by orographic winds and turbulence. Analysis of four representative LLWS events utilizing high-resolution DWL measurements provided insights into the types of LLWS generated and their potential impacts on aircraft operations. Conceptual models, aimed at establishing a foundation for the forecasting and warning of local LLWS, were also proposed based on multiple data sources.

Physical maltreatment, insecure attachment, and online gaming disorder among Chinese adolescents: A multi-group analysis of single and non-single child family

This study examined the effect of physical maltreatment on online gaming disorder and investigated the mediating role of insecure attachment in the aforementioned relationship. Further, multi-group analysis was conducted aiming to explore whether the pathways in the conceptual model were significantly different across the groups of adolescents from single and non-single child families. Based on a multi-stage random cluster sampling method, a total of 2001 adolescents aged 12–18 years (51.3 % boys and 48.7 % girls) was obtained from Hebei Province, China. We used Structural Equation Modeling (SEM) and multi-group analysis in SEM for data analyses.The results showed that physical abuse was directly associated with online gaming disorder (B=0.139, β = 0.107, p < 0.01, 95 % CI [0.063, 0.218]). Only anxious attachment mediated the relationship between physical abuse and online gaming disorder (B=0.069, β = 0.053, p < 0.001, 95 % CI [0.045, 0.098]), and between physical neglect and online gaming disorder (B=0.025, β = 0.029, p < 0.001, 95 % CI [0.015, 0.038]). The results of multi-group analysis suggested the significant difference in the pathway coefficients between the two groups. Significant difference was observed in the specific structural pathway between physical neglect and anxious attachment (CRD= − 2.851,p < 0.05), with the effect being stronger for adolescents from single child families (B=0.248, β = 0.279,p < 0.001, 95 % CI [0.176, 0.392]) compared with those from non-single child families (B=0.115, β = 0.137,p < 0.001, 95 % CI [0.073, 0.199]). The findings suggest the indirect influencing mechanism of insecure attachment in the relationship between physical maltreatment and online gaming disorder. The results of the multi-group analysis require future practitioners to evaluate the family conditions of siblings when intervening in online gaming disorder of adolescents.

Preserving Coastal and Marine Resources:The Existence of Local Wisdom among the Bajau Tribe

The Bajo or Bajau tribe is a tribe that lives and survives in the sea. In some countries, the Bajau tribe is known as Sama or Samal. The Bajo tribe is more widely spread in Indonesia, the Philippines, Thailand, Brunei, and Malaysia. Bajau as a maritime community certainly have hereditary habits relating to their lives in utilizing marine and coastal natural resources. On this basis, this research aims to determine the form of local wisdom of the Bajau tribe in utilizing marine and coastal natural resources, and second, to know the efforts made by the Bajau tribe to maintain local wisdom so that it remains sustainable now and in the future. This research was conducted using a post-positivism (qualitative) paradigm. The research location chosen was the Bajau tribe who inhabit the Spelman waters, precisely along the coast of the Tiworo Strait in Muna Regency, West Muna Regency, and Central Buton Regency, Southeast Sulawesi Province, Indonesia. The research involved around 17 people who were determined purposively, namely Tribal Heads. Research data comes from primary and secondary sources. Primary data resulting from in-depth interviews were then analyzed descriptively. It was found that the local wisdom of the Bajau tribe in preserving marine and coastal natural resources is sangal and pamali. The current efforts of the Bajau tribe to preserve local wisdom so that it remains intact is by upholding the advice of their ancestors and maintaining a figure (Tribal Chief) as the trustee of the source of ancestral knowledge. Therefore, the agenda for the future is the wisdom of the Bajau people which has been proven to protect the sea so that it can be replicated in other coastal communities. Regarding replication and conceptual models is a challenging discussion for future research.

Conceptual modelling on water-rock reaction and genesis of high pH fluids in a typical granitoid geothermal reservoir: A case from Indus-Tsangpo Suture Zone, India

Two novel thermal springs are investigated along ITSZ of north-west Himalayas in Demchok geothermal belt. The area consists of deep-seated faults in LGB; despite being situated in ITSZ, fluid chemistry of these low-temperature springs differs significantly, specifically in terms of low TDS (161–168 mg/l) and high alkalinity, with neighbouring springs in Puga and Chumathang (∼2100 mg/l). Thermal waters are mixed type (Na–Cl–HCO3–SO4) with elemental composition influenced through silicate rock weathering and partial carbonate dissolution. Variable temperature speciation (25 °C–200 °C) indicates that in reservoir fluid, Na+ precedes over other cations, while sulfate and carbonate complexes being prominent for Mg and Ca, respectively. Aquifer boiling modelling suggests calcite scaling and silica mineral equilibration in reservoir. Environmental stable isotopes (δ18O and δD) suggest high-altitude recharge from Jamlung La (6156 m), with altitude-effect of 0.43 ‰ isotopic depletion per 100 m elevation in altitude. As only silica minerals equilibrate with thermal waters, silica, and gas geothermometers give most conservative estimate of reservoir temperature (125°−135 °C). The steep topography enables extensive lateral flow of hot fluids in outflow zone, leading to high mixing and a high water-rock ratio, which contribute to lower TDS. Conceptual modelling reveals that geothermal system is a low-enthalpic hydrothermal system controlled by joints and permeable fractures, having deep fluid circulation of meteoric waters of ∼1275 m at sub-surface, with anomalous geothermal gradient and steam migration as reservoir heat sources. These fluids closely resemble springs of Guerrero state, Mexico, exhibiting similarities in low-TDS, high-pH, and high concentration of dissolved silica.

Drivers of housing developers’ perception on future construction reuse material premium for wood

The construction sector has significant environmental footprints due to its extensive con- sumption of resources, greenhouse gas emissions, and waste generation. Strategies like ex- panding the reuse of construction materials may contribute towards the sector’s environmen- tal objectives. Enhancing the reuse of wood, a material associated with low environmental impacts, may further improve the sector’s environmental outcomes. However, at this point, reuse of wood materials is marginal. Understanding the willingness of market agents to embark on such use will aid in policy and market development. This study examines the behavioral and institutional factors that affect the premium of housing developers for the use of reused wood materials in the construction of future residential and leisure buildings. It is based on a novel concept known as the Construction Reuse Material Premium (CRP). A conceptual model is developed from a comprehensive theoretical framework based on both Theory of Planned Behavior and Institutional Theory. Data were collected through a cross- sectional survey in fall 2022, targeting Norwegian housing development companies. Survey data were analyzed using partial least squares structural equation modeling (PLS-SEM). The findings reveal that housing developers’ attitudes, regulatory and market conditions, and company size negatively influence expected CRP, suggesting developers foresee a greater shift in their willingness to accept costs for reused materials compared to consumer willing- ness to pay. In contrast, stakeholder influence and positive subjective norms toward reuse are associated with a more favorable market outlook for buildings using reused materials.

Smart service value: Conceptualization, scale development, and validation in the retailing context

In-store smart technology is rapidly transforming service delivery and value creation in the retail sector. However, despite these advances, academic acumen of customers' perceived value of their smart service interactions remains tenuous, exposing an important omission in extant literature. Addressing this gap, we conceptualize, operationalize, and validate smart service value (SSV) in the retailing context. We first define SSV as the costs and benefits as perceived by customers of using in-store smart service applications. We then operationalize SSV and validate a third-order, reflective-formative construct by means of a scale development survey through Amazon MTurk (study 1; n = 326). To further validate the proposed SSV scale, we subsequently tested our conceptual model using a survey querying a hypothetical retail setting through an Australian panel provider (study 2; n = 298), which was analyzed by using PLS path modeling. Specifically, we explore SSV's effect on customer engagement and trust, which are in turn envisaged to impact customers' quality of life. The results reveal a significant mediating effect of affective customer engagement/trust in the association of SSV and customer-perceived quality of life, highlighting the pertinence of customers' emotional (vs. cognitive) SSV assessments. Our findings are aimed at helping retailers to strategically position smart service technologies in their stores based on customer-perceived SSV.

Error correction method based on deep learning for improving the accuracy of conceptual rainfall-runoff model

Due to the complex runoff and concentration situation, flood forecasting for small and medium-sized catchments is very difficult. To improve the accuracy of flood forecasting, this study constructs a distributed model for flood forecasting based on the Xainanjiang (XAJ) model and the North China (NC) model respectively, and takes the deep learning model including LSTM and transformer to compare. Taking the Podi Basin and Shibazi Basin as study cases. LSTM, Transformer, and LSTPencoder models were used to correct the error of distributed models, and the differential evolution (DE) algorithm was used to optimize the model parameters. Taking the observed rainfall and distributed model results as input, the residuals of the simulation flow are fitted to improve the accuracy of the distributed model. The research results show that the NC model performs better than the XAJ, LSTM, and transformer models. Compared with the XAJ model, the average Nash-Sutcliffe coefficient of the NC model for the two catchments increased by 25.7 % and 5.87 % respectively. The performance of the NC+LSTPencoder model is better than other models. Compared with the NC model, the average Nash-Sutcliffe coefficient of the NC+LSTPencoder model for two catchments increased by 89.7 % and 1.12 % respectively, and the Root Mean Square Errors (RMSE) of the two catchments reduced by 79.1 % and 63.4 % respectively. The model proposed in this paper has strong correction ability, which has important significance for improving the accuracy of flood forecasts.

Aggregating nanoparticle transport with nonlinear attachment: Modeling and experimental validation

A conceptual mathematical model was developed to simulate the transport of migrating nanoparticles in homogeneous, water saturated, 1-dimensional porous media. The model assumes that nanoparticles can collide with each other and aggregate. Nanoparticles can be found attached reversibly and/or irreversibly onto the solid matrix of the aquifer or suspended in aqueous phase. Attached particles may either contribute to the acceleration of subsequent particle deposition or hinder it, leading to the ripening or blocking process, respectively. The aggregation process was simulated based on the Smoluchowski Population Balance Equation (PBE) and was coupled with the advection-dispersion-attachment equation (ADA) to form a family of partial differential equations that govern the migration of nanoparticles in porous media. For the solution of the PBE, an efficient finite volume solver was employed that significantly accelerated computation times, by reducing the number of participating equations, while maintaining the required accuracy. The developed model was applied to nanoparticle transport experimental data available in literature. The model successfully matched the breakthrough concentration curves, and estimated the corresponding nanoparticle diameter, proving its ability to capture the physical processes participating in nanoparticle transport.

COMPETITIVENESS OF SOUTH AFRICAN ORANGES IN ASIAN STRATEGIC MARKETS: THE CASE OF MAIN COMPETITORS

This study employed various descriptive, conceptual, and empirical models to measure South Africa’s competitiveness in the Asian strategic markets concerning its competitors from 2003 to 2022. The competitiveness measurements included relative comparative advantage, the net export index, relative trade advantage, and constant market share analysis. The data were sourced from official databases such as the World Bank, FAO, ITC, export potential map, and World Integrated Trade Solutions (WITS). The South African competitiveness of oranges in the specified strategic markets realized a positive competitive effect of 2.46%, indicating a gain in the market due to increased competitiveness of the fresh food sector in the world market. The RCA values were above 1, with most of the values closer to 20 indicating that South Africa has a good comparative advantage in the production of oranges. Egypt and Greece were the competitors, with average values of 16.9 and 19.7, respectively. The South African orange industry has positive export performance, with values close to 100, which indicates that the country is a net exporter of oranges and is experiencing a sustained comparative advantage. The RTA index values were mostly positive.

Developing a Conceptual Framework for a Person-Centered Approach to Improving Adherence and Outcomes in Lung Cancer Screening: The Engaged Approach to Lung Cancer Screening (A Brief Report)

BackgroundTranslating outcomes from randomized trials of lung cancer screening into community practice settings has been challenging. We developed a framework – The Engaged Approach to Lung Cancer Screening (EA-LCS) – for improving adherence and individual and population health outcomes in LCS. MethodsEmploying community-engaged research, we conducted semi-structured interviews with LCS program staff (N=15) and participants (N=7) and administered brief surveys to understand LCS adherence. We combined our knowledge of LCS implementation with data to formulate the EA-LCS framework, including principles and strategies instrumental for LCS adherence. ResultsProgram staff identified four factors that facilitated adherence: (1) use of specialized tracking software, (2) importance of personal connection and a reliable touchpoint, (3) centralized program operations, and (4) standardization/streamlining of reports to participants and clinicians. Participant data identified four factors supporting adherence: (1) a single contact point and information availability, (2) tailored communications, (3) personalized results delivery, and (4) increased scan accessibility. Combined analyses identified three overarching themes in the EA-LCS framework: (1) respect, (2) trust, and (3) engagement. ConclusionsThe EA-LCS conceptual model integrates three foundational principles (person-centeredness, trustworthy relationships, and sustained communications) to enhance LCS adherence. Efforts are underway to translate the EA-LCS framework into materials to support adherence.

50328 Patient experience of chronic spontaneous urticaria: conceptual model development and identification of patient-reported outcome measures

50328 Patient experience of chronic spontaneous urticaria: conceptual model development and identification of patient-reported outcome measures

CSR strategies seasonal cycling: a new mechanism for coexistence among seaweeds

The stable maintenance of high biological diversity remains a major puzzle in biology. We propose a new mechanism involving the cyclical use of Competitive, Stress-tolerant, and Ruderal (CSR) strategies to explain high biodiversity maintenance. This study examines the interactions among three morphs of the cosmopolitan and commercially important seaweed Ulva Linnaeus. We measured biomass productivity, effective quantum yield, carbohydrate concentration, and nutrient competition across all seasons for one year and matched trait value combinations to CSR strategies. Our findings reveal that the Ulva morphs exhibited significant competitive interactions under eutrophic conditions, in a scramble competition dynamic. However, competition did not significantly affect their functional traits under naturally prevalent oligotrophic conditions. Season-by-season analysis revealed that each morph employed temporal niche partitioning by cyclically adopting different CSR strategies, thereby avoiding direct competition. This cyclical strategy, akin to a rock-paper-scissors game, prevents any single strategy from dominating year-round, maintaining the three-morph polymorphism. Our study further highlights the importance of year-long functional trait measurements to encompass seasonal changes in functional responses. Our CSR cycling conceptual model offers new insights useful for monitoring and conservation efforts.

Passive control of porous media on the aerodynamic forces and wake structures of wall-mounted short circular cylinders

This paper numerically investigates the aerodynamic forces and the three-dimensional wake characteristics of wall-mounted circular cylinders with and without porous media coatings using large eddy simulation at a Reynolds number of 3.2×104. Short cylinders with aspect ratios of 0.5, 1.0, and 3.0 are considered, with one end fixed to a bottom wall in the current work. The study focuses on aerodynamic coefficients, flow characteristics, and wake structures for cylinders both with and without porous coatings. The statistical results indicate that porous media significantly alter flow patterns behind the cylinders, suppress downwash flow from the free end, and reduce velocity fluctuations and turbulent kinetic energy within the wake. The porous coating enhances the leeward side's base pressure, leading to a reduction in drag on the cylinder surface. The analysis of flow structures reveals that the topology of the arch vortex behind solid cylinders is significantly dependent on the aspect ratio, whereas this dependency is negligible for porous cylinders. Porous coatings diminish the intensity of the tip and trailing vortices behind the cylinder. Finally, based on the time-averaged flow field, we proposed two conceptual models of topological correlation for wall-mounted short cylinders, both with and without porous coatings, which contributes to describing the geometric characteristics and interactions of vortex structures.

Linking recharge water sources to groundwater composition in the Hindon subbasin of the Ganges River, India

Groundwater resources of the densely populated Indo-Gangetic Basin are under increasing pressure, not only from extensive groundwater abstraction, but also from contamination. In this study we aim to better understand how different recharge sources affect the hydrochemical and isotope composition of groundwater. We used the Hindon subbasin in Northern India as a case study. Recharge water sources and groundwater were analysed for hydrochemical variables and stable isotopes along a 50 km transect between the Yamuna and Ganges rivers. Groundwater samples were statistically clustered based on hydrochemical variables, and the spatial variation of the groundwater clusters was compared with recharge sources.Groundwater quality could be linked to both recharge from irrigation canal water as well as recharge from polluted river water of the Hindon and its tributaries. We could not directly link groundwater outside these related zones to their recharge source. However, we suspect that shallow polluted groundwater (< 40 m depth) is affected by recharge from agricultural areas and infiltration of municipal wastewater, whereas deeper unpolluted groundwater (40–80 m depth) originates from recharge by rain and river water under more pristine conditions. Our findings show that human activities significantly impact the quality of groundwater, as we found vertical recharge of clean irrigation canal water and polluted municipal, agricultural and river surface water (up to 40 m depth). At one location, groundwater at 75 m depth shows increased Cl, NO3 and SO4 concentrations, suggesting accelerated downward displacement of polluted shallow groundwater by pumping. Limited horizontal displacement was found. We present a conceptual model demonstrating the evolution from a previously unpolluted groundwater system discharging to the river, to a contemporary system with infiltration dominance of polluted river, municipal and agricultural water and local clean irrigation canal water. This model may be relevant for large parts of the Indo-Gangetic Basin.

Assessment Of Effective Factors In E-Learning at Islamic Azad University

The rapid growth of information and communication technology has brought significant changes to the performance of education globally through the use of learning management systems facilitated by e-learning in higher education institutions. Despite perceived advantages such as flexible and widespread access, e-learning still faces challenges like identifying the needs of students, faculty, and staff, as well as delivering quality courses. Furthermore, there is a lack of assessment of existing e-learning initiatives and the determination of critical success factors for quality. This necessitates further research into e-learning practices to fill the identified gaps. This study presents a model for assessing the quality of e-learning systems by modifying and expanding existing frameworks for quality learning with other models and frameworks. A descriptive and exploratory research approach was employed using a cross-sectional survey of 180 respondents from Islamic Azad University, Science and Research Branch. Data were collected through questionnaires and interviews using stratified sampling methods. The validity of the conceptual model was assessed using structural equation modeling and regression analysis. This study revealed that course design, content support, administrative support, user characteristics, organizational factors, and social support impact quality. This research has contributed to the body of knowledge from theoretical, methodological, and practical perspectives.

Embracing the Future of Health Care: Investigating Medical Students' Willingness to Become Online Doctors.

Purpose: With the rapid advancement of technology, online health care services are becoming increasingly prominent. This study aims to investigate medical students' perceptions, attitudes, and readiness to adopt online health care services. Methods: Based on a literature review, this study constructed a conceptual model describing the relationships among medical students' perception, personality traits, and usage intention, grounded in the Technology Acceptance Model and Technology Readiness Index (TRI). The data for this study were collected from January to February 2023 through a questionnaire survey at Wenzhou Medical University, China. The proposed hypotheses were tested using structural equation modeling through AMOS software. Results: Out of the 340 respondents, 281 (82.6%) validly responded. Among these, 58.4% of medical students agreed and strongly agreed with the intention to become an online doctor. Within the TRI's motivational factors, optimism positively and significantly affected perceived usefulness (PU) and perceived ease of use (PEOU). Innovativeness also significantly enhanced PEOU. Among the inhibitory factors, insecurity was found to have a negative and statistically significant influence on PU. The rest of the dimensions did not have a significant effect on either PU or PEOU. Importantly, both PU and PEOU demonstrated a direct and substantial effect on usage intention. Conclusions: This study emphasizes the significance of comprehending medical students' readiness to adopt the role of online doctors in shaping the future of health care. By equipping medical students with the necessary skills and competencies, health care institutions can effectively leverage the full potential of online health care services while ensuring the provision of high-quality, accessible, and patient-centered care in the digital era.