Reflective Model Research Articles

Albedo Reflection Modeling in Bifacial Photovoltaic Modules

This paper focuses on the analytical modeling of albedo reflection in bifacial photovoltaic modules, with particular emphasis on the backside. First, we critically examine the approaches proposed in the literature, presenting them with a tutorial style and a uniform nomenclature. These approaches are demonstrated to yield physically meaningless results, as they erroneously assume that the ground area shaded by the module acts as a source of reflected irradiance independent of the portion of sky dome visible to such an area. Then we introduce a correction based on the view factor between the shaded area and the sky. The result is a comprehensive and accurate analytical model that also describes the case of suspended panels and can be easily implemented into PV plant simulators.

Predictors of employee well-being: A global measurements using reflective-formative model

BackgroundEmployee well-being (EW) is an integral part of occupational safety & health. Therefore, measuring EW is very important for holistically evaluating well-being instruments and measurement models. This research aimed to identify and confirm dimensions that significantly contribute to EW and also to examine the reliability and validity of the formative model of EW. MethodsThe survey consisted of 89 items from a well-being questionnaire administered to 426 employees in the coal mining industry, covering five domains. Measurements were analyzed using partial least squares–structural equation modelling (PLS-SEM) with SmartPLS 4.1.1. The measurement and analysis were conducted in two stages, the first of which used a reflective model. Subsequently, the results of the first stage were used in the second stage as a formative model to measure EW globally. Result and conclusionHome, Community, and Society (HCS), Health Status (HS), Workplace Environment and Experience (WEE), Workplace Policies and Culture (WPC), as well as Workplace Environment and Safety Climate (WPE) domain significantly contributed to EW, as identified through first-order reflective and second-order formative models. ContributionThis research developed a measurement model for EW with two orders: first-order reflective and second-order formative. It also offered practical insights for organizations and companies to measure and understand EW, providing a basis for implementing effective interventions.

Reflective model assessment of adherence to COVID-19 non-pharmaceutical interventions

Abstract Background Non-pharmaceutical interventions (NPIs) decrease COVID-19 transmission. We identified behavioral factors that affected NPI adherence according to Normalization Process Theory (NPT) in medical students, travel seekers, and people with substance use disorder using reflective model measurement, which previously had not been conducted. Public health officials should consider factors that influence adherence to create preventive strategies for COVID-19. Methods In a cross-sectional design, medical students and people with substance use disorders in treatment comprised a probabilistic sample, and travelers and COVID-19 suspected persons comprised a convenience sample. Participants were from Split-Dalmatia County (n = 656) in the Mediterranean and consented to self-administered surveys in 02/2021. Sociodemographic data, locus of control (LoC), and moral behavior were collected. Partial least squares structural equation modeling (PLS-SEM) was used to measure reflective assessment of NPI adherence according to NPT. Results PLS-SEM reflective model assessment provided two-group specific factors in inverse relationships which determined NPI adherence with excellent goodness of fit (χ2=1.292, df = 1; p = 0.297). Significant negative factors covariance estimate (-0.716) revealed an increase in adherence to the first factor, NPIs and internal LoC [0.640], as the second factor, age (≤25) and highest education level (1.362), decreased. LoC was the mechanism by which sex (MLsex=-0.017, SE = 0.007, p < 0.016) and being a student or person with substance use disorder (MLgroup=-0.008, SE = 0.003, p = 0.015) showed indirect effect on NPI adherence. Conclusions Students and people with substance use disorders more adhered to NPIs. Higher-educated younger adults with a tendency toward external LoC facilitated the normalization. Public health interventions could encourage these subgroups to act as promoters to increase NPI adherence in similar settings. Key messages • COVID-19 non-pharmaceutical interventions and psychological factors of students and people with substance abuse disorder influenced adherence. Targeted interventions could promote adherence. • Public health officials should consider that preventive strategies may be more effective in highly educated adults younger than 25 years of age.

Infrared emissivity measurement methods considering target reflective characteristics

Emissivity measurements are of great significance for infrared thermal radiation and infrared remote sensing. However, traditional methods often face challenges such as difficulties in non-contact measurement, small measurement areas, and unsuitability for non-Lambertian surfaces. To address these issues, we propose the reflective distribution model integral method (RDMIM). This method is based on a reflective distribution model using the scattering-reflective deviation angle (SRDA). By regressing and integrating the object’s reflective distribution model, it achieves accurate non-contact measurement of non-Lambertian surfaces under normal temperature conditions. Additionally, the measurement scheme has been further optimized to improve measurement efficiency while ensuring the accuracy of the model regression. Finally, the proposed RDMIM method has been validated through experimental measurements. The results have shown that this method has advantages in non-contact and large-area measurements. Moreover, the systematic error is smaller when the reflective characteristics of the reference body and the target are relatively similar.

Psychometric evaluation of the Adelphi Adherence Questionnaire (ADAQ©) in adults with osteoarthritis

BackgroundMedication non-adherence is a common issue in chronic illness. The World Health Organization has recognized a need for a valid and reliable method of measuring adherence to understand and mitigate non-adherence. This study aimed to psychometrically evaluate the English version of the Adelphi Adherence Questionnaire (ADAQ©), a questionnaire designed to assess patient-reported medication adherence across multiple therapy areas, in patients with Osteoarthritis (OA).MethodologyData from the Adelphi OA Disease Specific Programme™, a survey of physicians and their consulting adult patients with OA conducted in the United States, November 2020 to March 2021, was used to assess the psychometric properties of the ADAQ. Patients completed the ADAQ, Adherence to Refills and Medication Scale (ARMS), Western Ontario and McMaster Universities Arthritis Index (WOMAC), and EQ-5D-3L. The measurement model of the 13-item ADAQ was assessed and refined using latent variable modelling (Multiple Indicator Multiple Cause, confirmatory and exploratory factor analyses, item response theory, Mokken scaling, and bifactor analyses). Correlational analyses (Spearman’s rank and polyserial as appropriate) with ARMS, WOMAC, and EQ-5D-3L scores assessed construct validity. Anchor- and distribution-based analyses were performed to estimate between-group clinically important differences (CID).ResultsOverall, 723 patients were included in this analysis (54.5% female, 69.0% aged ≥ 60). Latent variable modelling indicated a unidimensional reflective model was appropriate, with a bifactor model confirming an 11-item essentially unidimensional score. Items 12 and 13 were excluded from scoring as they measured a different concept. The ADAQ had high internal reliability with omega hierarchical and Cronbach’s alpha coefficients of 0.89 and 0.97, respectively. Convergent validity was supported by moderate correlations with items of the ARMS, and physician-reported adherence and compliance. Mean differences in ADAQ score between high and low adherence groups yielded CID estimates between 0.49 and 1.05 points, with a correlation-weighted average of 0.81 points.ConclusionThis scoring model showed strong construct validity and internal consistency reliability when assessing medication adherence in OA. Future work should focus on confirming validity across a range of disease areas.

Evolution of Teachers' Teaching Beliefs About Mathematics in a Teacher Education Program.

Teachers' teaching beliefs encompass the underlying perspectives that they hold. These beliefs significantly influence teacher actions in complex ways, thereby impacting the implementation of curriculum reform. However, existing research has revealed inconsistencies between teaching beliefs and actual practices. Employing a case study approach, this study adopts a reflective belief model to address this issue and explore the mechanisms of teaching belief formation within the context of a teacher education program in China. The findings indicate that teaching beliefs can evolve and develop through five dimensions: justification, exemplification, consistency, connection, and practicality. By considering these dimensions within the framework of the reflective belief model, we can better comprehend the inconsistencies between belief and practice. Teacher educators can utilize this understanding to foster the cultivation of reflective teaching beliefs for teachers within training programs.

Experimental demonstration of a simple free-space loss model for diffuse reflections in guided-mode LiDAR

Experimental demonstration of a simple free-space loss model for diffuse reflections in guided-mode LiDAR

Nonlinear wave model of towed system and numerical method for its calculation

Towed systems have found wide practical applications. Notable underwater systems for the long-distance extraction of minerals (concretions) from the ocean floor extend over 5-10 km. The existing mathematical models for solving dynamic problems of such systems in various environments are not entirely accurate regarding the diversity of wave processes. This necessitates the development of refined wave models. This article presents a new quasi-linear mathematical model describing the nonlinear four-mode dynamics of a towed system in a spatially inhomogeneous field of mass and surface forces. It is described by a nonlinear system of twelve first-order partial differential equations. The principles of boundedness and hyperbolicity are satisfied. The validation of the two-mode reduction of the model is based on the numerical solution of the problem of the propagation of two waves: longitudinal and configurational. Using a numerical algorithm and a program based on the finite difference method, a comparison of two difference schemes – Crank-Nicolson and Euler – was conducted. The main limitations for applying the finite difference method used for numerical modeling of wave propagation and reflection in a towed system are the peculiarities of the defining quasi-linear equations, which are related to the necessity of simultaneous computation of variables responsible for fast and slow processes. For such systems of equations, the term "singularly perturbed system of equations" is used. These perturbations result from the significant differences in the propagation speeds of longitudinal and configurational waves at the physical level. Consequently, it is necessary to employ special time-stepping regularization and filtering methods for numerical results. This imposes certain restrictions on the ability to model real processes and on the accuracy of the obtained results, necessitating the use of implicit difference schemes and high-frequency filtering.

Reflective Distributed Denial of Service Detection: A Novel Model Utilizing Binary Particle Swarm Optimization-Simulated Annealing for Feature Selection and Gray Wolf Optimization-Optimized LightGBM Algorithm.

The fast growth of the Internet has made network security problems more noticeable, so intrusion detection systems (IDSs) have become a crucial tool for maintaining network security. IDSs guarantee the normal operation of the network by tracking network traffic and spotting possible assaults, thereby safeguarding data security. However, traditional intrusion detection methods encounter several issues such as low detection efficiency and prolonged detection time when dealing with massive and high-dimensional data. Therefore, feature selection (FS) is particularly important in IDSs. By selecting the most representative features, it can not only improve the detection accuracy but also significantly reduce the computational complexity and attack detection time. This work proposes a new FS approach, BPSO-SA, that is based on the Binary Particle Swarm Optimization (BPSO) and Simulated Annealing (SA) algorithms. It combines these with the Gray Wolf Optimization (GWO) algorithm to optimize the LightGBM model, thereby building a new type of reflective Distributed Denial of Service (DDoS) attack detection model. The BPSO-SA algorithm enhances the global search capability of Particle Swarm Optimization (PSO) using the SA mechanism and effectively screens out the optimal feature subset; the GWO algorithm optimizes the hyperparameters of LightGBM by simulating the group hunting behavior of gray wolves to enhance the detection performance of the model. While showing great resilience and generalizing power, the experimental results show that the proposed reflective DDoS attack detection model surpasses conventional methods in terms of detection accuracy, precision, recall, F1-score, and prediction time.

Beyond the Classroom: Integrating the ORID Model for In-Depth Reflection and Assessment in Service-Learning

Service-learning is a community-based learning approach that bridges academic knowledge with practical application through purposeful exploration, action, and reflection. In addition to enhancing academic learning in various disciplines, service-learning cultivates students’ self-awareness, personal values, and social responsibility, preparing them with essential skills for life beyond the classroom. However, due to its experiential nature, service-learning presents challenges for effective assessment. This study provides a concrete example of student reflections structured by the Objective, Reflective, Interpretive, and Decisional (ORID) model in practice. Content analysis was implemented by examining undergraduate students’ end-of-semester reflection papers while volunteering during the 2022 FIFA World Cup in Qatar. The results showed that the model provided a guided and structured format for students to reflect on their service-learning, going beyond reporting on factual details to engaging in profound reflections on the emotional, cognitive, and prospective aspects. Moreover, with the solution aspect added to the model, students could express their creativity, articulating on innovative solutions they proposed to overcome challenges and how they turned the challenges into favorable outcomes. Clearly, the model stands as a powerful tool for educators, offering deeper insights into students’ authentic experiences, fostering comprehensive, critical, and insightful reflection, and thereby facilitating the effective assessment of experiential learning.

Implementation of clinical nursing supervision with the proctor and reflective models: literature review

Nursing supervision can impact nurses' ability to generate, direct, and maintain behaviors relevant to nurses’ work environment. However, the fact is that oversight has not been implemented optimally. The following are the sample inclusion criteria in this research article: i) Research articles published between 2018 and 2023. ii) The article's research design is experimental or publication. iii) Research studies examine how the process of establishing vision supervision is carried out. iv) The research article is about clinical nurse supervision. A systematic review was performed in this study to assess 12 journals that were studied and included in the inclusion criteria. The findings of this investigation were achieved. The framework and clinical supervisor’s perceptions are divided into three themes: organizing learning, supporting tool for understanding what nursing care is, and developing own supervision practice. Supervisors view the fundamentals of care framework favorably and utilize it to structure and stimulate students' contemplation on what nursing is and demands.

Learning for children in an educational enrichment: a perspective derived from Taiwan's Early Childhood Education & Care Curriculum Framework

Anchored in the educational philosophy of “benevolence,” the Taiwan's Early Childhood Education & Care Curriculum Framework establishes nine learning goals and emphasizes the cultivation of six core competencies in young children. Recognizing that young children have potential for development, imagination, and creativity, the framework encourages young learners to engage with their surroundings, exhibit curiosity, and explore through play. The curriculum framework highlights the multifaceted roles of teachers, including their roles in shaping class culture and learning environments, partnering in the lives and learning journeys of children, guiding in their educational development, and collaborating with families. This curriculum framework emphasizes a child-centered approach to course development, integrating diverse activities that are reflective of and relevant to children's life experiences. It prioritizes maintaining the physical and mental health and safety of young children and introduces them to the meaning of life and the phenomenon of multiculturalism. The type of this study is a conceptual analysis, and it is a study from a reflective model on the implementation of the curriculum in Taiwan. Through this curriculum framework, children are encouraged to appreciate life's beauty and interact with others effectively and empathetically. Therefore, the curriculum framework emphasizes life education, multicultural education, aesthetic education, and moral education as essential components in the holistic development of young children. The curriculum framework is an educational enrichment for children's learning. This study explores the concept of early childhood learning as conceptualized by Taiwan's Early Childhood Education & Care Curriculum Framework. It is hoped that such an exploration can broaden young children's learning horizons, and enhance the quality of early childhood education.

Lexical Language Contact Phenomena: A Combined Model Based on the Vocabulario español-guarani (18th century)

Abstract The purpose of this work, which falls within the areas of lexicography (studying missionary linguistics) and sociolinguistics (studying cultural contact), is to analyse the linguistic and cultural contacts between Spanish and Guarani, based on lexicographic material extracted from the Vocabulario español-guarani by Pablo Restivo (1728). The basis of the analysis is provided by the names of animals—one of the ‘secular’ fields where the highest frequency of borrowings is found (Cerno & Obermeier 2013). The methodology applied is the Haspelmath model (2009) and the Gruda model (2018). The premise is that the arrival and work of the Jesuit missionaries created cultural contact that is reflected in the codified language and, in turn, in this dictionary of the time. The main contribution is a new combined model of lexical reflections in a situation of cultural contact that can be applied in the analysis of this kind of lexicographic work, while an additional section provides a presentation of Restivo’s work and its background.

PLS-SEM for Multivariate Analysis: A Practical Guide to Educational Research using SmartPLS

Implementation of PLS-SEM in educational research has developed significantly, but there are variations in the presentation of the analysis results. This study aims to provide practical understanding to researchers who intend to utilize PLS-SEM in multivariate analysis to enhance the recognition and validity of the resultant research outcomes using SmartPLS. This research is a literature study that conducts content analysis of relevant books and publications. The research results present PLS-SEM analysis using SmartPLS on reflective and formative research models with first-order and second-order approaches through measurement model evaluation (outer model) and structural model evaluation (inner model) with various criteria. Evaluation of the reflective measurement model consists of reflective indicator loadings, internal consistency reliability, convergent validity, and discriminant validity. The review of the formative measurement model consists of convergent validity, collinearity, and statistical significance of weights. The structural model evaluation consists of the collinearity test, significance value, f square, R square, Q square, SRMR, PLSpredict, and robustness checks. Therefore, this study can provide guidance using SmartPLS in conducting PLS-SEM analysis and presenting acceptable analysis results.

What kinds of social network groups do teachers find useful?

This paper presents results from a survey of teachers describing their two most useful Facebook groups (n=108 teachers). It addresses a gap in the literature, in that many studies investigate teachers within certain Facebook groups, but little is known about the types of groups that teachers-who-use-Facebook find to be most useful. Analysis of the survey results looks at the privacy, thematic focus, and regional focus of groups that teachers report to be useful. The study also addresses the question of “what kinds of peer support do teachers find within these useful Facebook groups?” The results show that useful Facebook groups tend to be private, positioned at a state/jurisdiction/national level, and have a clear thematic focus. Results also show that within these useful Facebook groups teachers report high levels of pragmatic support, with lower levels of modelling of practice, reflection and feedback, meaningful connections, and emotional support (in that order). The paper discusses the significance of these findings with respect to issues of policy, design, and facilitation of Social Network Sites (SNSs) as well as teacher preparation for competencies to thrive within SNSs.

Examining the Mediating Effect of the Rural Economic Dynamization between the Socio-Environmental Heritage and Sustainability of Protected Areas

This study examines the mediating effect of rural economic dynamization between socio-environmental heritage and the sustainability of protected areas in the buffer zone of the Serranía de las Quinchas Regional Natural Park, located in the municipality of Otanche, Boyacá Department, Colombia. The study population includes families that are part of the productive units in this area. The methodological approach of this study is based on partial least squares structural equation modeling. The working unit was established in the regional protected areas of Colombia, specifically in the Serranía de las Quinchas Regional Natural Park. A sample of 172 participants was selected using a non-probabilistic intentional sampling method, covering academics, company representatives, social leaders, local authorities, and representatives of non-governmental organizations. The study variables were measured using a scale with satisfactory psychometric properties, which included 12 items for socio-environmental heritage, 17 items for rural economic dynamization, and 11 items for the sustainability of protected areas. These were structured into subcategories based on the ecosystem services approach (factors that demonstrate social and economic dynamics). Responses were collected using a five-point Likert scale. The sample was analyzed using SmartPLS 3.3.3 software, applying a reflective–reflective hierarchical component model to evaluate the first- and second-order relationships among the variables. The results demonstrate the importance of socio-environmental heritage for local communities as a strategic component that facilitates the rural economic dynamization of protected areas based on sustainability. This research contributes to understanding the relationship between socio-environmental heritage and the sustainability of protected areas, mediated by rural economic dynamization, highlighting the relevance of in situ conservation strategies and prospective planning of these territories to implement sustainability dynamics. It is concluded that rural economic dynamization acts as a significant mediator in the relationship between socio-environmental heritage and the sustainability of protected areas, emphasizing the need to integrate these dynamics into the management of natural resources and the promotion of sustainable development in rural communities.

Deepening Medical Cooperation: the Application of Taylor's Reflective Model in Nursing Practice

This paper uses Taylor's emancipatory reflection model to examine an ethical issue involving nurses' rights, that is, the hegemonic behavior of doctors deprived nurses of their right to participate in multidisciplinary team activities. The aim is to demonstrate and promote the key skills of emancipatory reflection, while also developing critical awareness and analysis of potential problems arising from the hegemonic behaviour of doctors over nurses. Through the application of this reflective process, attempts are made to break the internal bondage and reevaluate the value within the medical relationship.

How to measure interdisciplinary research? A systemic design for the model of measurement

Interdisciplinarity is a polysemous concept with multiple, reasoned and intuitive, interpretations across scholars and policy-makers. Historically, quantifying the interdisciplinarity of research has been challenging due to the variety of methods used to identify metadata, taxonomies, and mathematical formulas. This has resulted in considerable uncertainty about the ability of quantitative models to provide clear insights for policy-making. This study proposes a systemic design, grounded in an advanced literature review, to demonstrate that the quantification of the interdisciplinarity of research can be treated as a process of decision-making in mathematical modelling, where alternatives choices are evaluated based on how closely their mathematical properties align with the theoretical objectives of the research design. The study addresses modeling choices regarding the stylisation of metadata into units of observation, and the operational definition of the conceptual dimensions of interdisciplinarity, presenting both established and novel methods and formulas. The final section discusses advanced topics in modelling the measurement, including a dedicated discussion on the difference in analysing the status of papers versus collective bodies of research; and distinguishing between reflective, formative, and inferential causal models of interdisciplinary research.

What does inclusion look like within an experiential teaching and assessing reflective learning model? Utilising authentic assessment to foster shared social membership

ABSTRACT The International Covenant on Economic, Social, and Cultural Rights calls for accessible higher education (HE), stating that it is necessary for the full development of the human personality and the sense of its dignity. Within this context, our research is centred on the Aristotelian principles of equity and fairness. To achieve these outcomes, our completed, Stage One research (2008–2019, 5603 participants), took place inside the university context and focused on designing out identified barriers to access and participation in mandatory assessment tasks for all students, including those with a disability. Building on our Stage One learnings and to generate increased inclusion, Stage Two involved the development of authentic HE assessment tasks which generate external , reflective, and inclusive practitioners who value shared social membership. This research seeks to support and strengthen the core philosophy of HE and the guiding principles of the participating university, Queensland University of Technology, which state: ‘ … the real world asks us … to guide it towards collective benefit.’ To achieve these outcomes, this university ‘ … partners with students to develop their self-knowledge, professional integrity and ethical leadership to enable them to become … global citizens who create positive social change’. This Stage Two research has been facilitated by the unique, author created integration of the Teaching and Assessing of Reflective Learning Model and the Experiential Learning Model (TARLEM). TARLEM focuses simultaneously on developing discipline-based content, the mastery of reflective practice skills, and an understanding of the reason for the task in terms of the social impacts of international business decision-making. The cross-cultural, cross-discipline and online/on campus participants are enrolled students in a UG IBU degree (622 responses).e

Training of teachers who teach Mathematics with DICT in the Elementary School: a systematic review of the SBEM publications

This bibliographic survey identifies teachers training models that address the teachers training for assignments in mathematics in the Elementary School with DICT. We use, as a theoretical foundation, the training models of José Contreras, and the documentary research methodology of the chronicle type. We have investigated a total of ten articles which were published between 2013 and 2022, in the SBEM journals, and in articles from the ENEM annals. The analysis showed the implicit predominance of the reflective training model for teachers. Thus, we point out the need for research that theoretically explains the training models being used and that addresses the use of DICT from the perspective of the critical intellectual model of mathematics teachers training.