Morgan Model Research Articles

INTERPERSONAL SKILLS AND ADOLESCENTS’ SOCIAL ADJUSTMENT: THE IMPLICATION OF THE TEACHING LEARNING PROCESS IN THE UNIVERSITY OF BUEA, CAMEROON

The study investigated interpersonal skills as determinants of adolescents’ social adjustment in the University of Buea. The study employed a cross-sectional survey research design, specifically utilizing a sample survey approach. The research focused on a population of 5,736 adolescent students across three faculties. To determine an appropriate sample size, the researchers applied the Krejcie and Morgan model, which indicated that 361 students would constitute a representative sample. The sampling process combined purposive sampling to identify the population of interest, followed by random selection of individual participants. For data collection, the researchers developed and administered a questionnaire that included both open-ended and closed-ended questions. The data management process began with entering the collected data into EpiData version 3.1. To ensure data quality, the researchers then conducted rigorous data cleaning and validation checks using SPSS version 23.0, which helped identify and address any invalid codes in the dataset. To establish the reliability of the research instrument, the team assessed the internal consistency of responses using Cronbach's Alpha reliability coefficient. The statistical analysis employed two main tests: Chi-square analysis was used to examine and compare descriptive differences in the data, while Spearman's rho correlation test was selected for hypothesis testing due to the normal distribution of the data. This comprehensive methodological approach allowed the researchers to systematically collect, process, and analyze data while maintaining scientific rigor throughout the study. The combination of purposive and random sampling techniques helped ensure both the relevance and representativeness of the sample, while the statistical tests chosen were appropriate for the nature of the data and research objectives. The data analysis incorporated both descriptive and inferential statistical methods to examine the relationship between social adjustment and interpersonal relationships among university adolescents. The fundings yielded a statistically significant positive correlation (R = 0.411, p < 0.01) between interpersonal relationship formation and social adjustment outcomes in the university environment. This moderate correlation coefficient indicates that adolescent students who successfully establish and maintain quality interpersonal relationships demonstrate enhanced social adjustment within the university context. The strength of this correlation (R = 0.411) suggests a meaningful association between these variables, though it also indicates that other factors are likely to contribute to social adjustment outcomes. This empirical evidence underscores the importance of interpersonal relationship development as a key facilitator of successful social adaptation among adolescent university students.

Corporate social responsibility and employee retention: an impact assessment of innovative leadership

Purpose This research aims to investigate the influence of corporate social responsibility (CSR) on employee retention among banking employees in Pakistan, along with the moderating effect of innovative leadership on the relationship between CSR and employee retention. Design/methodology/approach The nature of this study is quantitative, where structured questionnaires were used to collect the data from 327 employees working in different banks. The sample size was calculated using the Krejice and Morgan model. Data was analysed through SPSS and smart-PLS 4. Findings Results of this study indicate that CSR has a significantly positive relationship with employee retention. Study results also suggest that innovative leadership has a significant positive relationship with employee retention and that innovative leadership moderates the relationship between CSR and employee retention. Research limitations/implications This study is limited to banking employees; therefore, future studies can be extended to other service sectors such as telecom and private educational institutions. This study model can also be tested in other industries as well. Furthermore, longitudinal studies can also be conducted in future. Originality/value This study is different from the previously available studies based on the following grounds. Firstly, this tests the relationship of CSR and employee retention through stakeholder and social exchange theories on a micro-level perspective of CSR. Secondly, the role of innovative readership as a moderator has not yet been explored in the existing studies, whereas this study is enriching the literature on this topic.

Effectiveness of TVET Training in Harnessing Skills Development amongst the Youths in Kisumu County, Kenya

The global challenge of TVET is ensuring that vocational education systems are inclusive, industry-relevant and aligned with the needs of the 21st-century labor market. Without addressing issues like funding, perception and curriculum development, TVET systems may continue to fall short in equipping young people with the skills needed for employment, entrepreneurship and sustainable economic development. For this reason, this study sought to examine effectiveness of TVET Training in Harnessing Skills Development Amongst the Youths in Kisumu County, Kenya. The founding theoretical frameworks were: Human capital theory, social learning theory and empowerment theory. Descriptive survey was used. Target population was 20,857 comprising of 20,814 TVET students, 42 Heads of TVET institutions and 1 County Education Officer in Kisumu County Government. A sample size of 379 was determined using Krejcie and Morgan (1970) model. Disproportionate stratified random sampling was used to select respondents. Data was collected using structured questionnaires and interview guide. Data was analyzed through content analysis, descriptive and inferential statistics. Pearson`s Correlation analysis was used to determine linear relationships between variables. For the coefficient of correlation (r) of 0.96, it implied a very strong positive relationship between TVET training and skill development. Government as policy-maker was recommended to institute regular reform for reviewing the existing TVET curricula in order to incorporate feedback from students and adapt to emerging dynamics of demographic dividends.

The Influence of Visionary Leadership on Work Motivation and Its Impact on Teacher Performance in State Junior High Schools in Central Lombok Regency

The quality of education is influenced by many factors, one of which has the greatest contribution is teacher performance. Research was conducted to explain the impact of visionary leadership on work motivation which then has an impact on teacher performance. The research was carried out on junior high school teachers in Central Lombok using a survey approach using questionnaires distributed randomly to 340 respondents. Determining the research sample from a population of 1,168 people used the Morgan model and then corfirmation to the Warwick and Lininger formula. The collection for data used a 5-choice Likert scale model questionnaire. The analysis is in the form of a model structure using the Partial Least Squares approach. The results are; (1) visionary leadership has a convince direct influence on work motivation in the results of the T-Statistics score analysis is 2.370 and the P-Values score is 0.018 (2) Visionary leadership has a significant positive direct influence on teacher performance in the results of the T-score analysis The statistic is 2.138 also the P-Values score is 0.033 (3) work motivation has a significant positive direct influence on teacher performance in the results of the analysis the T-Statistics score is 8.094 also the P-Values score is 0.000 (4) visionary leadership has a significant indirect influence convince effect on teacher performance through the intermediary of work motivation according to the results of the analysis, the T-Statistics score is 2.190 and the P-Values score is 0.029. Research findings show that visionary leadership and work motivation have a convince impact on teacher performance so they become predictors of influence on teachersperformance.

The Holby–Morgan Model of Platinum Catalyst Degradation in PEM Fuel Cells: Range of Feasible Parameters Achieved Using Voltage Cycling

Loss of electrochemical surface area in proton-exchange membrane is of large practical importance, since membrane degradation largely affects the durability and life of fuel cells. In this paper, the electrokinetic model developed by Holby and Morgan is considered. The paper describes degradation mechanisms in membrane catalyst presented by platinum dissolution, platinum diffusion, and platinum oxide formation. A one-dimensional model is governed by nonlinear reaction–diffusion equations given in a cathodic catalyst layer using Butler–Volmer relationships for reaction rates. The governing system is endowed with initial conditions, mixed no-flux boundary condition at the interface with gas diffusion layer, and a perfectly absorbing condition at the membrane boundary. In cyclic voltammetry tests, a non-symmetric square waveform is applied for the electric potential difference between 0.6 and 0.9 V held for 10 and 30 s, respectively, according to the protocol of European Fuel Cell and Hydrogen Joint Undertaking. Aimed at mitigation strategies, the impact of cycling operating conditions and model parameters on the loss rate of active area is investigated. The global behavior with respect to variation of parameters is performed using the method of sensitivity analysis. Finding feasible and unfeasible values helps to determine the range of test parameters employed in the model. Comprehensive results of numerical simulation tests are presented and discussed.

The Impact of Climate Change on Agricultural Operations: an Applied Study on Crops in the Jordan Valley

Climate change, as manifested through its multifaceted dimensions encompassing economic, social, and security effects, on agricultural activities within the Jordan Valley region. The research sample encompassed a group of 9000 agricultural practitioners residing in the Jordan Valley region. Employing the well-established Morgan model, a representative subset of 368 individuals was selected through a random sampling technique. The questionnaires were disseminated among the participants of the study, resulting in the retrieval of a total of 350 questionnaires. Upon careful examination, it was determined that 340 of these questionnaires were deemed valid and suitable for analysis. A meticulously crafted survey instrument was devised to systematically gather firsthand information. The research employed a quantitative (descriptive analytical) methodology to examine the data and evaluate hypotheses by employing suitable statistical techniques available in the Statistical Package for Social Sciences (SPSS). The findings of the study indicate a noteworthy and statistically significant relationship between climate change and agricultural operations. The analysis yielded a substantial coefficient of determination (R²=68.5%), suggesting that approximately 68.5% of the changes observed in agricultural operations can be attributed to the influence of climate change. The study proposes a strategic approach to enhance farmers' understanding of the indirect impact of climate change on various economic sectors, including manufacturing, energy production, transportation, and other services. This can be achieved through the implementation of educational initiatives, such as seminars and awareness sessions, which actively engage farmers in the learning process.

Feasible domain of cycling operating conditions and model parameters for Holby–Morgan model of platinum catalyst degradation in PEMFC

In the paper, electrochemical behavior of platinum based cathode catalyst in a polymer electrolyte membrane fuel cell is studied under non-symmetric square-wave electric potential cycling applied in accelerated stress test. Following the modeling by Holby and Morgan, degradation due to Pt dissolution, ion diffusion, and oxide coverage is performed with respect to cycling operating conditions and model parameters. The computer simulation demonstrates impact of the electrochemical surface area loss rate under variation of the temperature, pH, platinum particle diameter, loading, Pt to Carbon volume fraction, and their simultaneous effect. From physical consistency and multi-parametric sensitivity analysis, a statement on feasible domain of the parameters for the PEMFC operation is concluded.

Modeling of the impact of cycling operating conditions on durability of polymer electrolyte fuel cells and its sensitivity analysis

In the paper, the impact on durability of polymer electrolyte membrane fuel cells is investigated when varying operating conditions applied in accelerated stress tests. By this, the electric potential cycling protocol in given by a non-symmetric square profile. The electrochemical degradation of a catalyst layer is caused by platinum ion dissolution and oxide coverage. These mechanisms are described by the one-dimensional Holby–Morgan model with a modified Butler–Volmer equation for the reaction rates. For efficient numerical solution of the underlying nonlinear reaction-diffusion system, a variable time-step implicit-explicit method is suggested. Computer simulations predict durability for the catalyst by using a linear extrapolation up to the full platinum surface blockage. A parameter sensitivity analysis is presented on different time scales and measures how the platinum mass loss is impacted by the variation of specific parameters.

Variance-Based Sensitivity Analysis of Fitting Parameters to Impact on Cycling Durability of Polymer Electrolyte Fuel Cells

Degradation of a catalyst layer in polymer electrolyte membrane fuel cells is considered, which is caused by electrochemical reactions of the platinum ion dissolution and oxide coverage. An accelerated stress test is applied, where the electric potential cycling is given by a non-symmetric square profile. Computer simulations of the underlying one-dimensional Holby–Morgan model predict durability of the fuel cell operating. A sensitivity analysis based on the variance quantifies how loss of the platinum mass subjected to the degradation is impacted by the variation of fitting parameters in the model.

The Cocreation of Place Meaning at Small-Scale Elite Youth-Based Sport Event

The study uses Morgan's model of experience space as a framework for understanding the cocreation of place meaning at the 2017 Canadian Championships in Rhythmic Gymnastics (2017 CCRG). The efforts of event organizers (experience managers and marketers) to shape place experiences at the event was considered in conjunction with the visitors' motivations and their interpretation of meanings inclusive of the social and cultural interactions at the event. Research methods included semistructured interviews and e-mail questionnaires. Five place-based themes emerged through categorical aggregation analysis: function, tourist activities, community, performance, and emotion. These findings demonstrated the relevance of the Morgan's model of experience space. However, modifications to the model were recommended. These include the combination of the achievement, hedonic pleasure and personal meanings components under the label of emotion, and the introduction of a new "performance" component. The 2017CCRG shaped place meaning for athletes, parents, and organizers.

Lifetime of Catalyst under Voltage Cycling in Polymer Electrolyte Fuel Cell Due to Platinum Oxidation and Dissolution

The durability of a platinum catalyst in a polymer electrolyte membrane fuel cell is studied at various operating conditions with respect to the different electric potential difference (called voltage) applied in accelerated stress tests. The electrochemical reactions of Pt ion dissolution and Pt oxide coverage of the catalyst lead to the degradation of platinum described by a one-dimensional Holby–Morgan model. The theoretical study of the underlying reaction–diffusion system with the nonlinear reactions is presented by numerical simulations which allow to predict a lifetime of the catalyst under applied voltage cycling. The computer simulation investigates how the Pt mass loss depends on the voltage slope and the upper potential level in cycles.

A Leray Model for the Orlik–Solomon Algebra

Abstract We construct a combinatorial generalization of the Leray models for hyperplane arrangement complements. Given a matroid and some combinatorial blow-up data, we give a presentation for a bigraded (commutative) differential graded algebra. If the matroid is realizable over $\mathbb {C}$, this is the familiar Morgan model for a hyperplane arrangement complement, embedded in a blowup of projective space. In general, we obtain a cdga that interpolates between the Chow ring of a matroid and the Orlik–Solomon algebra. Our construction can also be expressed in terms of sheaves on combinatorial blowups of geometric lattices. As a key technical device, we construct a monomial basis via a Gröbner basis for the ideal of relations. Combining these ingredients, we show that our algebra is quasi-isomorphic to the classical Orlik–Solomon algebra of the matroid.

To assess the multiperiod market risk with deep learning method taking the boosting additive quantile regression as an example

AbstractCompared with current risks, future risks are more important for investment decisions and risk management. This paper modifies the Square Root of Time Rule with the boosting additive quantile regression model to forecast multi‐period horizon market risk. In J. P. Morgan's RiskMetrics Model, the k‐period horizon value at risk (VaR) equals to . Since its assumptions are too strict, expected capacity of Risk Metrics is not so well. Taylor relaxed assumptions of this model, used the GARCH model to replace the IGARCH model, and obtained multi‐period horizon VaR, which is a nonlinear function of the one‐step‐ahead volatility forecast .The conditional mean μt is zero in Taylor's model, but Tsay pointed out that this assumption (μt = 0) does not always hold. Therefore, we relax this assumption about the conditional mean, and obtain the VaR which is mixed function consisting of two parts, one is a linear function of conditional mean, and the other is a nonlinear function of , given the holding horizon k. For our mixed VaR function, we chose a more appropriate method, the boosting additive quantile regression model, to forecast multi‐period horizon VaR. Taking log‐returns of the Hang Seng Index from January 1, 2007 to November 1, 2016 as the sample, weforecast the 5‐, 10‐, 15‐, and 20‐day horizon VaRs, and compare the prediction accuracy of Morgan's model withour quantile regression model through likelihood ratio tests. Results show that VaR based on the quantile regression model is not only more accurate, but also sensitive to volatility, and is conducive to maintaining a reasonable risk reserve level for financial institutions, enabling them to pay less for regulation andachieve incentive compatibility.

Prioritizing potential use of urban treated wastewater using expert-oriented and multi-criteria decision-making approaches: a case study in Iran.

Allocating effluent of wastewater treatment plants to users of economic sectors and satisfying their requirements has created a challenging debate and a need for prioritization. This study assesses the importance of sectors that utilize treated wastewater (TWW) using risk and social acceptability indexes based on expert-oriented approaches. Considered sectors are agriculture, industry, urban green space and natural resources and the study area is located in Iran, around the Isfahan North Wastewater Treatment Plant. The risk index is calculated using Frank and Morgan model and consequently TWW use in the industrial sector is less dangerous than other sectors. Moreover, the social acceptability index, which was determined using Mamdani fuzzy inference set, indicates higher acceptability of TWW use in natural resources sector compared with other sectors. By constructing the conceptual model, generating the decision matrix and using the results of gray relational analysis decision-making model for the four sectors, the allocation priorities of TWW became industry, natural resource, green space, and agriculture respectively. It is suggested that Water and Wastewater Company grant permission for TWW use to water-consuming industries and man-made forests development, which result in increasing employment, reduction of harmful effects of dust, and water consumption decrease.

Spin–Lattice Relaxation and Diffusion Processes in Aqueous Solutions of Gadolinium-Based Upconverting Nanoparticles at Different Magnetic Fields

We investigated the influence of gadolinium (Gd)-based upconverting nanoparticles (UCNPs) on water spin–lattice relaxation (T1) and diffusion at different magnetic field strengths (0.4 T and 9.4 T). Our findings show that smaller NPs (12 nm compared to 19 nm) were more favourable for proton relaxivity. We also demonstrate that using simplified Solomon–Bloembergen–Morgan (SBM) model we can associate two measured diffusion coefficients with processes occurring near the surface of UCNPs and in bulk water. Using the relationship between relaxation and diffusion, we can estimate not only the total impact of NPs on relaxation of water molecules, but also the impact on relaxation of local water molecules, directly connected to paramagnetic Gd3+ ions in NPs. Different magnetic field strengths did not alter the spin–lattice relaxivity of NPs. This suggests that Gd-based UCNPs could be developed into high-performance multimodal magnetic resonance imaging contrast agents working over a broad range of imaging field strengths used in clinical routine.

Modeling Sediment Yield in Land Surface and Earth System Models: Model Comparison, Development, and Evaluation

AbstractSediment yield (SY) plays an important role in the global carbon cycle for carrying particulate carbon into rivers and oceans, but it is rarely represented in Earth system models (ESMs). Existing SY models have mostly been tested over a few small catchments in specific regions or in large river basins globally. By comparing the performance of eight well‐known SY models in 454 small catchments with various land covers and uses across the United States, Canada, Puerto Rico, U.S. Virgin Islands, and Guam, we identified the simple Morgan model for its better performance in representing the spatial variability of continental scale SY at spatial scales relevant to ESMs (several to hundreds of square kilometers) than other models because of a more realistic representation of runoff‐driven erosion and sediment transport capacity in the context of current data availability. The results also indicated that runoff‐driven erosion should be formulated using a power function of runoff, shear stress, or stream power to better represent the total effect of concentrated flow if gully erosion and channel erosion are not explicitly modeled. We also demonstrated that the Morgan model can be further improved by removing snowmelt‐driven runoff in modeling runoff‐driven erosion and to a minor degree by integrating a landslide model. The improved Morgan model explains 57% of the spatial variability of the measured SY. The new model also demonstrated the capability to simulate SY in cross‐validation catchments at fine temporal scales, which is important for coupling SY with other biogeochemistry processes in ESMs.

Analysing the Presentation of the 1976 Soweto Uprising in Grade 9 History Textbooks

The Soweto Uprising comprised a series of protests led by secondary school students in South Africa that began on 16 June 1976. Historians and political analysts concur that the Soweto Uprising was a watershed in the national liberation struggle and ushered in the demise of the apartheid system. This article examines the presentation of the Soweto Uprising and related events in five purposefully selected South African secondary school history textbooks for Grade 9 learners using the four dimensions of Morgan and Henning's textbook analytical model. The aim of the study was to identify the omission/inclusion of certain historical facts and the implications for the development of learners’ critical thinking skills. The findings indicated that the omission of historical facts concerning the causes of the Soweto Uprising limits learners’ opportunity to make evidence-based, reasoned judgments about the topic; the use of primary and secondary sources to mediate the affective aspects of the Soweto Uprising is inadequate; the textual community that the history textbooks depicts lacks multiple voices and perspectives; and the narratives do not fully engage learners in complex and contested issues. It is recommended that history textbook authors adopt a multiple text approach to encourage critical thinking and to enable learners to assess historical claims and assertions independently.

Disciplinary Kingdoms and the Pursuit of Pragmatism in Research: A Student Perspective

AbstractThis paper explores how students may reconcile the concerns raised by Van Zyl (2015) of the Burrell and Morgan framework with the pragmatic approach proposed by Cronjé (2011). Van Zyl suggests that disciplinary kingdoms in higher education use the Burrell and Morgan framework to repress students who are not encouraged to reflect on alternative paradigms. Although Cronjé (2011) and Roode (1993) also use the Burrell and Morgan model and encourage the use of multiple paradigms Van Zyl considers their application simplistic leading to poorly prepared researchers. The Cronjé model is reviewed in light of Ackoff's (1976) four pursuits of mankind with the view to providing an opportunity for overcoming the mutually exclusive nature of Burrell and Morgan. Such a model could encourage self‐reflexivity, introspection and autonomy as called for by Van Zyl. The extended Cronjé‐Ackoff model is then investigated by applying it to this paper through self‐reflexivity. Finally implications for education are enumerated.

Application of growth models to describe the lactation curves for test-day milk production in Holstein cows

ABSTRACTIn order to describe the lactation curves of milk yield traits, six standard growth models (Brody, logistic, Gompertz, Schumacher, Von Bertalanffy and Morgan) were used. Data were 911,144 test-day records for unadjusted milk yield , 4% fat-corrected milk yield and energy-corrected milk yield from the first lactation of Iranian Holstein cows, which were collected on 834 dairy herds in the period from 2000 to 2011. Each model was fitted to monthly production records of dairy cows using the NLIN and MODEL procedures in SAS. The models were tested for goodness of fit using adjusted coefficient of determination, root means square error, Durbin–Watson statistic, Akaike's information criterion (AIC) and Bayesian information criterion (BIC). The Morgan model provided the best fit of the lactation curves due to the lower values of AIC and BIC than other models, but the Brody model did not fit the production data as well as the other equations. The results showed that the Morgan equation was able to estimate the time to the peak and peak yield more accurately than the other equations. Overall, evaluation of the different growth equations indicated the potential of the nonlinear functions for fitting monthly productive records of Holstein cows.

Can Sociological Paradigms Still Inform Organizational Analysis? A Paradigm Model for Post-Paradigm Times

The Burrell and Morgan model for classifying organization theory is revisited through meta-theoretical analysis of the major intellectual movement to emerge in recent decades, post-structuralism and more broadly postmodernism. Proposing a retrospective paradigm for this movement, we suggest that its research can be characterized as ontologically relativist, epistemologically relationist and methodologically reflexive; this also represents research that can be termed deconstructionist in its view of human nature. When this paradigm is explored further, in terms of Burrell and Morgan’s assumptions for the ‘nature of society’, two analytical domains emerge – normative post-structural and critical post-structural. Assessing the types of research developed within them, and focusing on actor-network theory in particular, we describe how post-structural and postmodern thinking can be classified within, rather than outside, or after, the Burrell and Morgan model. Consequently we demonstrate not only that organizational knowledge stands on meta-theoretical grounds, but also how recent intellectual developments rest on a qualitatively different set of meta-theoretical assumptions than established traditions of agency and structure.