It is questionable whether counterfeiting in many areas of life contributes to unethical behavior to a wider extent. If the notion is supported by data, then the moral damage in a society could be prevented by reducing the counterfeit self and behavior to a bare minimum. This study aimed at empirically testing the measurement model of counterfeit self of Wood et al. (2008) among Indonesians as well as theoretically reviewing counterfeit self roles in unethical behavior. The participants of this study (...) were 1,655 high school students (764 males, 891 females; Mage = 15.76 years old; SDage = 1.08 years) recruited through a purposive sampling technique in North Sumatera and West Kalimantan, Indonesia. The data analysis technique used was Confirmatory Factor Analysis. The results showed that the counterfeit self model--comprised of counterfeit self dimensions, namely Self-alienation (ALIEN), Inauthentic Living (LIVE), and Accepting External Influence (EXT)--was supported by the empirical data. However, the dimension of EXT could not be represented by its indicators. The study contributed to the psychological body of knowledge that the EXT dimension might need to be excluded from the measurement of counterfeit self on teenagers, especially in Indonesia and other Eastern countries. (shrink)

Biomass is one of the main sources of energy in Kenya accounting for over 68% of the total primary energy consumption. The continued dependency on biomass energy has resulted to land degradation, deforestation, drought and famine. The adoption and continued use of biogas energy technologies within the developed and developing countries is of great social, economic and environmental benefit. Although the positive benefits of using biogas is clear, in Africa and Kenya the households’ biogas adoption level is low. The main (...) purpose of this study was to analyze social, economic factors that influence adoption of biogas energy among farm households in Nandi, Uasin-Gishu and Trans-Nzoia counties in North Rift region of Kenya. The target population was all the farm households in the three counties. The study employed farm household multistage research design mainly cluster, and simple random sampling techniques to get a sample size of 295 respondents for the study. Farm households were used as units for analysis. Data was collected using questionnaires and analyzed using descriptive and inferential statistics. Logit model was used to estimate the parameters of the regression model. The results indicated that: social-economic factors were significant determinants of adoption of biogas technology (p – value 0.0000 < 0. 05) for all variables in North Rift region of Kenya. From the study findings, the following recommendations are drawn: Firstly government and other stakeholders should design policies that encourage the use of sustainable energy sources such as biogas. Secondly, incentives and provision of subsidies in terms of financial support should be given to households to acquire biogas devices. Thirdly households should be educated on benefits of using biogas. Government should also ensure efficient extension services in the study area by organizing workshops, trainings and make provisions to facilitate extension. (shrink)

Introduction: Research has documented the prevalence of different HIV/AIDS prevention programs launched to reduce the spread of the virus. However, the extent to which the success or otherwise of these programs are achieved is rarely discussed. This study addresses this gap by analyzing the impact of three socioeconomic parameters on the evaluation of HIV/AIDS prevention programs in the Southern Senatorial District of Cross River State, Nigeria. Methods: A sample of 239 health care employees selected using the proportional stratified random sampling (...) technique participated in the study. A priori power analysis (using G*power) indicated that the sample size was large enough to achieve a 96.7% statistical power. Data was collected using a structured questionnaire. Exploratory factor analysis assessed the dimensionality of the instrument. Acceptable construct and discriminant validity and composite reliability coefficients were obtained. At the .05 alpha level, the null hypotheses were tested using a one-way analysis of variance. Findings: Findings indicated that the evaluation of HIV/AIDS prevention programs significantly varied with the level of funding provided (F[2, 236]=81.11, p<.001), human capacity available (F[2, 236]=40.91, p<.001), and stigmatization to people living with AIDS (F[2, 236]=40.79, p<.001). Health facilities with higher funding and human capacity successfully evaluated HIV/AIDS prevention programs. However, the evaluation of HIV/AIDS prevention programs was lower in areas with a high level of stigmatization. Conclusion and implication: This study’s findings provided evidence that funding, human capacity, and stigmatization affect how HIV/AIDS pandemic can be effectively evaluated. This study implies that additional responsibility is required for public health workers to promote quality service delivery across different health facilities. Keywords:. (shrink)

This study sought to examine the factors affecting the Science, Technology, Engineering and Mathematics (STEM) students’ Mathematics performance in a modular distance learning at Notre Dame Village National High School (NDVNHS). In particular, the researcher was interested to determine if these factors had a significant effect on the students’ Pre-Calculus and General Mathematics performance considering the number of hours spent in modular learning. The period covered by the study was during the first semester of the school year 2020-2021. The respondents (...) were all 67 Grade 11 STEM students of NDVNHS. A quantitative research design was utilized particularly using Multivariate Analysis of Covariance (MANCOVA). The findings of the study revealed that majority of the STEM students had a good performance in their Mathematics subjects for the first semester. Also, the factors specifically type of motivation (intrinsic or extrinsic) and support system (parents, siblings, relatives, friends, or classmates) had statistically significant effect on their mathematics performance in the new normal considering the amount of time they spent in learning using modules. Moreover, there were statistically significant differences in both Pre-Calculus and General Mathematics performances between the type of motivation and support system when adjusted for the number of hours spent in modular learning. Based on the findings, the study concluded that the students’ motivation and support system can greatly affect their mathematics performance when controlling for the allocated time in modular learning. Especially in Pre-Calculus and General Mathematics, motivation and support system are important factors in learning using modules. In the new normal education, the students should increase their level of motivation as well as exposure in self-learning and be given full support towards the processes in the modular approach of distance learning. (shrink)

Exploratory factor analysis (EFA) of the Psychopathic Personality Inventory (PPI; S. O. Lilienfeld, 1990; S. O. Lilienfeld & B. P. Andrews, 1996) with a community sample has suggested that the PPI subscales may comprise 2 higher order factors (S. D. Benning, C. J. Patrick, B. M. Hicks, D. M. Blonigen, & R. F. Krueger, 2003). However, substantive and structural evidence raises concerns about the viability of this 2-factor model, particularly in offender populations. The authors attempted to replicate (...) the S. D. Benning et al. 2-factor solution using a large (N= 1,224) incarcerated male sample. Confirmatory factor analysis of this model resulted in poor model fit. Similarly, using the same EFA procedures as did S. D. Benning et al., the authors found little evidence for a 2-factor model. When they followed the recommendations of J.-W. van Prooijen and W. A. van der Kloot (2001) for recovering EFA solutions, model fit results provided some evidence that a 3-factor EFA solution could be recovered via confirmatory factor analysis. (shrink)

According to evidentialist views, credence in a proposition p should be proportional to the degree of evidential support that one has in favor of p. However, empirical evidence suggests that our credences are systematically sensitive to practical factors. In this article, I provide a cost–benefit analysis of credences' practical sensitivity. The upshot of this analysis is that credences sensitive to practical factors fare better than practically insensitive ones along several dimensions. All things considered, our credences should be sensitive (...) to practical factors. (shrink)

In this issue of the Journal, Dundas et al. (Am J Epidemiol. 2014;180(2):197–207) apply a hitherto infrequent multilevel analytical approach: multiple membership multiple classification (MMMC) models. Specifically, by adopting a life-course approach, they use a multilevel regression with individuals cross-classified in different contexts (i.e., families, early schools, and neighborhoods) to investigate self-reported health and mental health in adulthood. They provide observational evidence suggesting the relevance of the early family environment for launching public health interventions in childhood in order to improve (...) health in adulthood. In their analyses, the authors distinguish between specific contextual measures (i.e., the association between particular contextual characteristics and individual health) and general contextual measures (i.e., the share of the total interindividual heterogeneity in health that appears at each level). By doing so, they implicitly question the traditional probabilistic risk factor epidemiology including classical “neighborhood effects” studies. In fact, those studies use simple hierarchical structures and disregard the analysis of general contextual measures. The innovative MMMC approach properly responds to the call for a multilevel eco-epidemiology against a widespread probabilistic risk factors epidemiology. The risk factors epidemiology is not only reduced to individual-level analyses, but it also embraces many current “multilevel analyses” that are exclusively focused on analyzing contextual risk factors. (shrink)

Creativity is a crucial aspect of entrepreneurship. However, research on the information processing mechanism of creativity in relation to entrepreneurship is still very limited. To explore factors contributing to creativity performance among entrepreneurs in terms of information processing, we applied the Bayesian Mindsponge Framework. We used the Serendipity-Mindsponge-3D (SM3D) knowledge management theory to construct models and conducted Bayesian analysis on the most comprehensive and well-designed dataset of 3071 Vietnamese entrepreneurs up to date. We found that entrepreneurs who give more (...) time to their startup attempts are likely to have lower levels of creativity. Both factors of higher levels of knowledge within one’s discipline and better connections to out-of-discipline knowledge are positively associated with more creativity. While the effect of openmindedness on the relationship between within-discipline knowledge and creativity is unclear, openmindedness was found to have a positive moderating effect on the association between out-of-discipline knowledge and creativity. These findings support entrepreneurs in understanding the information processing mechanisms behind creativity for creating more effective knowledge management strategies. (shrink)

Purpose: This study investigates the interrelationship among COVID-19 anxiety, mindfulness, COVID-19 information avoidance, preventive behavior, and academic performance. Research methodology: The study assessed protective factors as mediators of COVID-19 anxiety and academic performance using WarpPLS. The study participants were K-12 Filipino students from a secondary school in Cagayan, Philippines, identified through convenience sampling. Results: COVID-19 anxiety, mindfulness, information avoidance, and preventive behavior were found to be negatively correlated. Preventive behavior is associated with improved academic performance. Conversely, there was a negative (...) correlation between mindfulness, COVID-19 information avoidance, and academic performance. The association between COVID-19 anxiety and academic achievement is only mediated by mindfulness and preventive behavior. Limitations: Preventive factors that may affect COVID-19 anxiety and academic achievement are only considered. Also, the participants are limited to a secondary school in Cagayan, Philippines. Contribution: With the pandemic having a substantial influence on the municipality, the study would be helpful to manage and control the effect of the outbreak on the academic performance of the learners. (shrink)

May assumes that if moral beliefs are counterfactually dependent on irrelevant factors, then those moral beliefs are based on defective belief-forming processes. This assumption is false. Whether influence by irrelevant factors is debunking depends on the mechanisms through which this influence occurs. This raises the empirical bar for debunkers and helps May avoid an objection to his Debunker’s Dilemma.

Background: Besides regulatory learning skills, learning also requires students to relate to their social context and negotiate it as they transition and adjust to medical training. As such, there is a need to consider and explore the role of social and cultural aspects in student learning, particularly in problem-based learning, where the learning paradigm differs from what most students have previously experienced. In this article, we report on the findings of a study exploring first-year medical students’ experiences during the first (...) semester of an undergraduate problem-based learning medical program at an African medical school. Method: We employed a qualitative case study approach using in-depth interviews with 23 first-year medical students. Participants ranged in age from 18 to 25 years. All students were bi/multilingual (some spoke three to five languages), with English as the learning language. We conducted an inductive thematic analysis to systematically identify and analyze patterns in the data using the Braun and Clarke framework. Results: Before medical school, students worked hard to compete for admission to medical school, were primarily taught using a teacher-centered approach, and preferred working alone. At the beginning of medical school, students found it challenging to understand the problem-based learning process, the role of the case, speaking and working effectively in a group, managing a heavy workload, and taking increased responsibility for their learning. By the end of the first semester, most students were handling the workload better, were more comfortable with their peers and facilitators, and appreciated the value of the problem-based learning approach. Conclusions: Our study highlights the importance of interrogating contextual sociocultural factors that could cause tension when implementing problem-based learning in non-western medical schools. Adjustment to problem-based learning requires a conceptual and pedagogic shift towards learner-centered practice, particularly concerning self direction, the role of the case, and collaborative learning. As such, there is a need to develop and implement research informed learning development programs that enable students to reflect on their sociocultural beliefs and practices, and enhance their regulatory learning competence to optimize meaningful and early engagement with the problem based learning process. (shrink)

To obtain effective fusion results of multi source evidences with different importance, an evidence fusion method with importance discounting factors based on neutrosopic probability analysis in DSmT framework is proposed. First, the reasonable evidence sources are selected out based on the statistical analysis of the pignistic probability functions of single focal elements. Secondly, the neutrosophic probability analysis is conducted based on the similarities of the pignistic probability functions from the prior evidence knowledge of the reasonable evidence sources. (...) Thirdly, the importance discounting factors of the reasonable evidence sources are obtained based on the neutrosophic probability analysis and the reliability discounting factors of the real-time evidences are calculated based on probabilistic-based distances. Fourthly, the real-time evidences are discounted by the importance discounting factors and then the evidences with the mass assignments of neutrosophic empty sets are discounted by the reliability discounting factors. Finally, DSmT+PCR5 of importance discounted evidences is applied. Experimental examples show that the decision results based on the proposed fusion method are different from the results based on the existed fusion methods. Simulation experiments of recognition fusion are performed and the superiority of proposed method is testified well by the simulation results. (shrink)

This research assesses the factors influencing students' decision-making when choosing a university. The study proposes eight factors, such as parental or guardian influence, high school teacher recommendations, graduate quality, colleague recommendations, location, school fees, learning environment, and university reputation, on students' university choices. A quantitative approach was employed, utilizing both secondary and primary data. A total of 330 students were sampled for this study. The data were analyzed using SPSS, employing descriptive statistics for data summarization and inferential statistics for (...) class='Hi'>analysis. Descriptive tools such as frequency analysis were used to examine the distribution of responses, while regression analysis was conducted to test the predictive power of the factors. The findings of this study indicate that factors such as parental or guardian influence, high school teacher recommendations, graduate quality, colleague recommendations, location, school fees, learning environment, and university reputation are all significant considerations in students' decision-making process when choosing a university. These factors play an influential role in shaping students' preferences and choices. The results show that these factors significantly impact students' university choices. The study contributes to the existing literature by providing empirical evidence on the importance of these factors in the decision-making process. Understanding the influence of these factors can assist universities in developing targeted strategies to attract and meet the needs of prospective students. By recognizing the significance of parental involvement, fostering positive relationships with high school teachers, showcasing successful graduates, promoting positive word-of-mouth recommendations, providing a conducive learning environment, and building a solid reputation, universities can enhance their appeal and effectively compete in the higher education market. Further research in this area can explore additional factors and delve deeper into the mechanisms influencing students' decision-making when choosing a university. (shrink)

Introduction The Defining Issues Test (DIT) aimed to measure one’s moral judgment development in terms of moral reasoning. The Neo-Kohlbergian approach, which is an elaboration of Kohlbergian theory, focuses on the continuous development of postconventional moral reasoning, which constitutes the theoretical basis of the DIT. However, very few studies have directly tested the internal structure of the DIT, which would indicate its construct validity. Objectives Using the DIT-2, a later revision of the DIT, we examined whether a bi-factor model (...) or 3-factor CFA model showed a better model fit. The Neo-Kohlbergian theory of moral judgment development, which constitutes the theoretical basis for the DIT-2, proposes that moral judgment development occurs continuously and that it can be better explained with a soft-stage model. Given these assertions, we assumed that the bi-factor model, which considers the Schema-General Moral Judgment (SGMJ), might be more consistent with Neo-Kohlbergian theory. Methods We analyzed a large dataset collected from undergraduate students. We performed confirmatory factor analysis (CFA) via weighted least squares. A 3-factor CFA based on the DIT-2 manual and a bi-factor model were compared for model fit. The three factors in the 3-factor CFA were labeled as moral development schemas in Neo-Kohlbergian theory (i.e., personal interests, maintaining norms, and postconventional schemas). The bi-factor model included the SGMJ in addition to the three factors. Results In general, the bi-factor model showed a better model fit compared with the 3-factor CFA model although both models reported acceptable model fit indices. Conclusion We found that the DIT-2 scale is a valid measure of the internal structure of moral reasoning development using both CFA and bi-factor models. In addition, we conclude that the soft-stage model, posited by the Neo-Kohlbergian approach to moral judgment development, can be better supported with the bi-factor model that was tested in the present study. (shrink)

The main goal of the article is a further development of the usage of income and comparable approaches to company valuation aimed at defining market capitalization sensitivity to value changing in the conditions of dynamization of internal and external business parameters. The relevance of the researched topic is determined by the importance of establishing the factors influencing the change in company market capitalization based on the synthesis of approaches to company valuation. To obtain the results of the study, the following (...) methods were used: structural and logical analysis – to improve the process approach to company valuation in the context of determining the impact of its change on market capitalization; discounted cash flow method (DCF-model) – to determine the value of the enterprise based on the income approach; comparable companies method – to determine the value of the company on the basis of a market approach; factor analysis method – to assess the impact of changes in value on company market capitalization; generalization and logical analysis – in conclusions building. The results of critical analysis of publications of domestic and foreign scientists on the application of company valuation methods identified the need of improvement the process approach to company valuation in the context of determining the impact of its change on the company market capitalization. To adequately assess company value, the use of a synthesis of income and market approaches is proposed. The implementation of the DCF-model and comparable companies valuation method while valuation of Private Joint-Stock Company “SKF Ukraine” allowed to establish that the greatest impact on the target metric (company market capitalization) has an average industry multiplier EV/EBITDA, terminal growth rate and weighted average cost of capital – 5.9 %, 3.2% and 2.7% respectively. The practical value of the results of the study is determined by the importance of forming a full analytical basis for establishing the attractiveness of the performance of joint-stock companies in the market and consolidating management decisionsin order to increase market capitalization. (shrink)

Psychopathy refers to a range of complex behaviors and personality traits, including callousness and antisocial behavior, typically studied in criminal populations. Recent studies have used self-reports to examine psychopathic traits among noncriminal samples. The goal of the current study was to examine the underlying factor structure of the Self-Report of Psychopathy Scale–Short Form (SRP-SF) across complementary samples and examine the impact of gender on factor structure. We examined the structure of the SRP-SF among 2,554 young adults from three (...) undergraduate samples and a high-risk young adult sample. Using confirmatory factor analysis, a four-correlated factor model and a four-bifactor model showed good fit to the data. Evidence of weak invariance was found for both models across gender. These findings highlight that the SRP-SF is a useful measure of low-level psychopathic traits in noncriminal samples, although the underlying factor structure may not fully translate across men and women. (shrink)

Previous research has extensively analysed teachers' and students' Facebook use for instructional engagement, writing, research dissemination and e-learning. However, Facebook as a data collection mechanism for research has scarcely been the subject of previous studies. The current study addressed these gaps by analysing students' awareness, willingness, and utilisation of Facebook for research data collection [RDC]. This study aimed to predict students’ Facebook use for research data collection based on their awareness and willingness and to determine age and gender differences in (...) such predictions. A sample of 11,562 students of tertiary institutions participated in an online survey. The researchers designed and validated the online survey. Exploratory Factor Analysis was used for dimensionality. Average Variance Extracted [AVE] was used for convergent validity, whilst the Fornel-Larcker criterion and Heterotrait-Monotrait ratio were used for discriminant validity. Composite reliability indices of .97, .94 and .90 proved the instrument’s three sub-scales usable. One sample t-test and multigroup analysis were conducted using SPSS 27 and Smart PLS 3. The study found high awareness but low usage of Facebook for RDC among Nigerian university students. Younger and male students showed higher willingness and actual use of Facebook for RDC. Awareness directly impacted by awareness, and acted as Facebook usage for RDC, with stronger impacts for males and students aged 19 to 28. Willingness was positively impacted and acted as a negative mediator between awareness and usage for some age groups and genders. These findings provide important insights into using Facebook for RDC among students in Nigerian universities and highlight the need to consider the impact of demographic factors such as age and. (shrink)

This paper aims to determine knowledge management (KM) factors which have strong impact on high performance. Also, the study aims to compare KMM between intermediate colleges. This study was applied on three intermediate colleges in Gaza strip, Palestine. Asian productivity organization model was applied to measure KMM. Second dimension which assess high performance was developed by the authors. The controlled sample was 190. Several statistical tools were used for data analysis and hypotheses testing, including reliability correlation using Cronbach’s alpha, (...) “ANOVA”, simple linear regression and step wise regression and LSD test. The overall findings of the current study show that maturity level is in the second level. Findings also support the main hypothesis and its sub- hypotheses. The most important factors effecting high performance are the processes, KM leadership, people and KM outcomes. In addition, there are differences in high performance for college (PTC). Furthermore, the current study is unique by the virtue of its nature, scope and way of implied investigation, as it is the first comparative study between intermediate colleges in Palestine that explores the status of KMM using the Asian productivity model. Research limitations was that the survey findings were based on intermediate colleges in Gaza Strip. (shrink)

The VIA Classification of Strengths and Virtues is the most commonly used model of positive personality. In this study, we used two methods of model modification to develop models for two measures of the character strengths, the VIA Inventory of Strengths-Revised and the Global Assessment of Character Strengths. The first method consisted of freeing residual covariances based on modification indices until good fit was achieved. The second was residual network modeling (RNM), which frees residual partial correlations while minimizing a function (...) that penalizes more complex models. Models based on both strategies were developed for the two questionnaires. The resulting structural models were then applied to four other samples. Though both modification procedures achieved good fit in the sample used to develop the models, only RNM resulted in adequate model fit for both measures in all cross-validation samples. This finding suggests RNM is more robust against overfitting than traditional practices. Moreover, the result supports the validity of the three-factor model of character strengths with replicability. (shrink)

The students’ academic performance is the key element for both learners and teachers in examining the educational objectives for all subjects. This work is entitled “Factors contributing to Students' Academic Performance in Biology State Examination at Upper Secondary Schools in Gitega commune, Burundi” explores the factors that influence the students’ academic performance in biology national examination, particularly in Gitega commune. All school directors, laboratory, and library staff, and six senior students who did biology national examination over five school years from (...) 2016 to 2020 in all upper secondary schools with Biology-Chemistry and Earth sciences combination formed a study population. The stratified sampling technique to carry out this correlational study for choosing the upper secondary schools from urban and rural school areas. This study covered 12 upper secondary schools, 12 library staff and 3 laboratory staff, and 1961 senior six students who were selected purposively according to the above learning combination six in 1961 senior students over five consecutive school years (2016 to 2020) as a sample. The instruments used for collecting data were questionnaires and the document review checklist. Descriptive statistics, Analysis of variance (ANOVA) and multiple linear Regression test were used to analyze the collected data and the interpretation was guided by a literature review. The findings of this study indicated that teachers’ academic qualifications were inversely associated with the students’ academic performance whereas the teachers’ professional qualifications and students’ academic performance were also negatively linked. Also, there was statistically a significant association between teaching experience and students’ academic performance while professional training of biology Teachers are significantly associated with students’ academic performance. Other contributing factors to students’ academic achievement such as physical facilities (laboratory, library, staff room, computer lab and biology textbooks were significantly and positively linked with students' academic performance. Based on these findings, recommendations were made. (shrink)

Religion has always been argued as a cultural factor that influences behavior. Similarly, previous studies had shown that demographic factors such as age, gender, education level, and work experience were linked to behavior. This present study examined if demographic factors and religiosity dimensions could predict ethical behavior, specifically Islamic ethical work behavior, in Brunei. This study used an existing data set, which had been employed with a different approach and research questions. A total of 370 respondents were analyzed. Model (...) analysis involved the use of binomial logistic regression. It correctly classified 77% of cases. The result showed that demographic factors were not significant predictors of Islamic ethical work behavior. However, all religiosity dimensions were significant predictors of Islamic ethical work behavior, providing support for religion influencing behavior in the workplace—to a certain extent, in the society—although the degree of effects varied, suggesting opportunities for further research. The findings were discussed, and limitations and recommendations were then presented. (shrink)

This study explores the entry of new and small parties into the party system in Albania, focusing on the period from 1990 to 2017. It is a comprehensive exploration of the Albanian political landscape from 1991 to 2017, focusing on the role of electoral systems and how they influence party politics. The study underscores the necessity for strong, stable political parties in a thriving democracy and investigates how the electoral system either facilitates or hinders the representation of small and new (...) parties. It investigates the influence of institutional factors, as well as the challenges and strategies related to political survival that these parties face. The analysis reveals how the two-round majority system typically fosters a two-party system, whereas a proportional system can lead to a more fragmented party landscape, often necessitating coalitions for effective governance. The impact of these dynamics was observed during several key periods in Albanian political history, noting the consequences of changes in the electoral system on the party system. The paper also highlights how major parties often manipulate the electoral system, through practices such as gerrymandering, to their own advantage, leading to potential distortions in representation. Furthermore, it presents the challenges for new and small parties, emphasizing the importance of financial support and media coverage for their survival and competitive performance. (shrink)

This paper aims to measure Knowledge Management Maturity (KMM) in the universities to determine the impact of knowledge management on high performance. This study was applied on Al-Quds Open University in Gaza strip, Palestine. Asian productivity organization model was applied to measure KMM. Second dimension which assess high performance was developed by the authors. The controlled sample was (306). Several statistical tools were used for data analysis and hypotheses testing, including reliability Correlation using Cronbach’s alpha, “ANOVA”, Simple Linear Regression (...) and Step Wise Regression.The overall findings of the current study suggest that KMM is suitable for measuring high performance. KMM assessment shows that maturity level is in level three. Findings also support the main hypothesis and it is sub- hypotheses. The most important factors effecting high performance are: Processes, KM leadership, People, KM Outcomes and Learning and Innovation. Furthermore the current study is unique by the virtue of its nature, scope and way of implied investigation, as it is the first comparative study in the universities of Palestine explores the status of KMM using the Asian productivity Model. (shrink)

Abstract- Performance is the primary function of human resource management and it becomes life line of an organizational success. The performance gap is extremely highly detrimental towards an organizational success. Prevailing study is concerned with the affecting factors of teachers’ performance in which administrative bureaucratization, unequal provision of opportunities, social status and incentives gap loss the vitality and tempo of performance in classroom atmosphere. Emergence of complexities in teachers’ life allow to a complex instructional approach that gives birth to a (...) problematic classroom and breach the center of attention and rejects a sound learning environment. The exiting study is concerned with an investigation of teachers hampering antecedents to lower down their performance by an empirical means on the basis of survey research and quantitative approach. In data collection 350 questionnaires were distributed and respondents’ feedback remained 243 (69.4%) and population was investigated on the basis of affecting antecedents towards teachers’ performance at middle and higher secondary level and random sampling technique was applied. Five points Likert scale tool was used to collect the data and analysis was carried out via SPSS version 24. Lowering performance hampers the education transmission to coming generation and it results to professional dissatisfaction and unfriendliness to class room environment. The reflexive attitudes of teacher relate to boredom, monotony and ineffective delivery of teaching objectives and scarcity of interest prevail and feelings like deprivation to students and coworkers to become a reason to discontent and discomfort towards the organization. (shrink)

Introduction: There is no study investigating the factors predicting postoperative febrile urinary tract infection (fUTI) in pediatric patients. We aimed to determine the factors predicting postoperative fUTI in pediatric patients who underwent ureterorenoscopic lithotripsy (URS-L). -/- Methods: Pediatric patients who underwent URS-L due to ureter or kidney stones in our clinic between 2012 and 2019 were analyzed retrospectively. The demographic data, stone characteristics, intraoperative and postoperative data of those with and without postoperative fUTI were compared. Univariable and multivariable binary logistic (...) regression analysis was performed to determine predictors of fUTI. -/- Results: A total of 136 patients were included in the study. Postoperative fUTI developed in 17 patients (12.5%). History of stone surgery, history of UTI, presence of nephrostomy/D-J stent, type of surgery, operation time, length of stay, and presence of complication except fUTI were found to be significantly different in the fUTI group. In the univariate analysis, history of stone surgery, history of UTI, presence of nephrostomy/D-J stent, type of surgery, operation time, and presence of complication except fUTI were determined as factors predicting fUTI. In multivariate analysis, only the history of UTI was identified as an independent predictive factor. -/- Conclusion: In pediatric patients, infectious complications constitute the majority of complications after URS-L. History of UTI is the only independent factor that predicts postoperative fUTI after URS-L. (shrink)

The standard way to test alternative descriptive theories of moral judgment is by asking subjects to evaluate (amongst others) sacrificial dilemmas, where acting classifies as a utilitarian moral judgment and not acting classifies as a deontological moral judgment. Previous research uncovered many situational factors that alter subject’s moral judgments without affecting which type of action utilitarianism or deontology would recommend. This literature review provides a systematic analysis of the experimental literature on the influence of situational factors on moral judgments (...) in sacrificial dilemmas. It analyses 53 articles in detail and reports mean effect sizes, as well as operationalizations, for 36 situational factors that significantly influence moral judgment. Moreover, the review discusses how the impact of situational factors relates to a dual process theory of moral judgment. It supports the view that utilitarian judgments are driven by controlled cognitive processes and shows that the drivers of deontological judgments depend on valence. (shrink)

The COVID-19 pandemic has made it especially visible that mortality data are a key component of epidemiological models, being a single indicator that provides information about various health aspects, such as disease prevalence and effectiveness of interventions, and thus enabling predictions on many fronts. In this paper we illustrate the interrelation between facts and values in death statistics, by analyzing the rules for death certification issued by the World Health Organization. We show how the notion of the underlying cause of (...) death can change in view of public health goals. This brings us to a general point about how non-epistemic factors, such as values and goals, are reflected in the choice of different measures in epidemiological models. We finally argue that this analysis is not only relevant from a theoretical point of view but also has important practical consequences. (shrink)

The purpose of this study is to identify the factors affecting the organizational performance. Four factors, motivation, ability, roles, and situation, will be in-dept identified to explore how each factor positively impacts the organizational performance. The study is conducted, using applied qualitative descriptive approach and analysis method. The fours factors (Motivation, Ability, Roles, Organizational Support) are adopted from a few previous studies. Each factor is studied and analyzed based on empirical papers that have been observed, tested, and (...) experienced by vaiours articles from different countries’ authors. After the description of each factor, it is found that a number of organizations have been considerably affected by these four factors. In addition, each factor is found to be very dependent to one another. A constant growth of organizational performance should be steadily dependent on the four factors, meaning that the organization should apply all the four factors at the same time to ensure its constant increasing performance. It is noted that an absence of one factor will definitely lead to the fall and decrease of the performance of the organization and the presence of the four factors at the same time will definitely ensure the increasing performance of the organization. (shrink)

The Philippines is one of the fast-growing economies in the South-East Asian and the Pacific region. This study considered eight factors: HEI PRC rate, crime rate, education, employment, health, poverty, income, and basic family amenities of the 17 regions of the country, all taken from the year 2012 databases of the Philippine Statistics Authority (PSA), the Philippine Institute for Development Studies (PIDS) and Open Data Philippines. Principal Component Analysis (PCA) generated the indices of the six factors and Cluster (...) class='Hi'>Analysis (CA) to group regional similarities. Clustering revealed that ARMM and MIMAROPA Regions have clustered independently, in two individual clusters, while the rest of the 15 regions have clustered in two groups of five and 10. The study revealed that crime, poverty and health mortality rates have generally inverse relationships with HEI PRC percentage performance, employment, education, income and basic housing amenities. (shrink)

I explored the association between components constituting the basis for moral and optimal human functioning, i.e., moral reasoning, moral identity, empathy, and purpose, via network analysis. I employed factor scores instead of composite scores that most previous studies used for better accuracy in score estimation in this study. Then, I estimated the network structure among collected variables and centrality indicators. For additional information, the structure and indicators were compared between two groups, participants who engaged in civic activities highly (...) versus lowly. The results demonstrated significant intra- and inter-scale associations in the network. The network structure was invariant across the two groups. Despite the network invariance, I found that the global connectivity between and centrality indicators of examined factors were higher among the high civic engagement group in general. I discussed the implications of the findings in research on moral functioning based on moral psychology and virtue ethics. (shrink)

A structural equation modelling approach was used to analyse 32 factors affecting students’ attitudes towards test-taking in secondary schools. Data for the study were obtained from a sample of 1,276 students using the proportionate stratified random sampling technique. The instrument used for data collection was a Rating Scale on Factors Affecting Students’ Attitudes Towards Test-Taking (RSFASATTT). Findings of the study revealed a total of 21 factors that significantly affect students’ attitudes towards test-taking in secondary schools. Out of these significant factors, (...) 14 had a positive effect while 7 factors negatively affected students’ attitudes towards test-taking. However, 11 factors were not significant predictors of students’ attitudes towards test-taking. Based on these findings, it was concluded that students’ attitudes towards test-taking are affected by several factors. These factors are either traceable to the students’ emotions, their family background, or the school environment. Based on this conclusion, recommendations and policy implications were made. (shrink)

The study investigated factors that influence the uptake of maternal healthcare services by women in Zimbabwe, using a logit model. Data from the Zimbabwe Demographic Health Survey (ZDHS, 2015) was used. Deteriorating maternal health indicators motivated the study. The effect of socio-economic and demographic factors on the probability of utilising maternal healthcare services was examined. Descriptive statistics and a logit model were used for data analysis. Results from the logit model show that region of residence, insurance cover, educational level, (...) employment status, maternal age, birth order, place of residence, number of living children, maternal age and household income all influence the utilisation of maternal healthcare services by women in Zimbabwe. Basing on research findings, the study recommends that relevant authorities make more available vocational training centres and education institutions since education was found to influence the uptake of maternal healthcare services. There is need to encourage family planning so as to reduce the number of children, especially among the apostolic sect, which affects the uptake of maternal healthcare. Compulsory national health insurance schemes could be adopted to mitigate the effect of low income that discourages the use of institutional facilities for delivery. The issue of balanced regional development needs to be pursued through accelerating devolution to ensure equal access to maternal healthcare facilities in all provinces. (shrink)

Employee is the main resource for organization. Recently, there were many concerns of staff resignation within industries. High staff turnovers cause increase of costs of hiring workforces. Owing this issue, “Assessment of Factor of Employee’s Turnover” was proposed for research with the objective of examination of factors causing staff resignation from MVi. In total 26 staff both women and men who resigned 2016 and 2017 was selected for interview. Quantitative data was used. Three main steps were done including research (...) questionnaires and material development, sampling technique and criteria and data analysis and reporting. There were four main parts: the degree of staff satisfaction of each of the variables (1 to 12), the correlation between each of variable (1 to 12) with overall satisfaction, the causes of staff resign of the variable (13-27) and the correlation between each of the staff resign causes (variable 13 to 27). All those data have been transformed into non-parameter with the Spearmen Rho. MVi staff members were appreciated working with MVi. The satisfaction of each variable was that the staff scored high for most factors like staff leave, communication with colleagues, staff capacity development opportunities, and roles and responsibilities. Former staff who worked in 2016 and 2017 was most appreciated with the factors above. Three factors scored by respondents were very low in comparison with other factors. Those are work overload, job security, and salary. All those factors were located between score 3 (neutral and score 4 (satisfied). Among 12 satisfaction variables, three of them were most significantly positively related to staff motivation. For internal factors, the average score was 3.19 which represents mostly true of the statement above. The variables which were significantly related to staff resignation were communication with superiors, finding a higher position with new agencies better salaries, and benefits from the new agency. The recommendations were produced including awarding for staff, review salary scale, tasks, maintaining staff. Qualitative research to explore what job security, salary, and work-overloads are not significantly related to staff satisfaction should be done. Qualitative research on factors of staff resign should be done. (shrink)

Emotions are a central aspect of communication. Consequently, emotion analysis (EA) is a rapidly growing field in natural language processing (NLP). However, there is no consensus on scope, direction, or methods. In this paper, we conduct a thorough review of 154 relevant NLP publications from the last decade. Based on this review, we address four different questions: (1) How are EA tasks defined in NLP? (2) What are the most prominent emotion frameworks and which emotions are modeled? (3) Is (...) the subjectivity of emotions considered in terms of demographics and cultural factors? and (4) What are the primary NLP applications for EA? We take stock of trends in EA and tasks, emotion frameworks used, existing datasets, methods, and applications. We then discuss four lacunae: (1) the absence of demographic and cultural aspects does not account for the variation in how emotions are perceived, but instead assumes they are universally experienced in the same manner; (2) the poor fit of emotion categories from the two main emotion theories to the task; (3) the lack of standardized EA terminology hinders gap identification, comparison, and future goals; and (4) the absence of interdisciplinary research isolates EA from insights in other fields. Our work will enable more focused research into EA and a more holistic approach to modeling emotions in NLP. (shrink)

In the context of Ukraine’s membership in the WTO, the functioning of a free trade area with the EU, the opportunity for agricultural producers to obtain a larger share of the value added is primarily linked to the intensification of trade in domestic livestock products and their processing products. However, their production is one of the high-risk areas and requires a set of measures aimed at ensuring proper quality. Without effective solution of the problem of quality of livestock products it (...) is impossible to ensure its competitiveness in the world market, to guarantee the rational nutrition of the population of the country, the availability of the necessary components for the vital activity of the human body. The aim of the research is to determine the socio-economic factors for ensuring the quality of livestock products in Ukraine. The scientific and specific research methods were used to solve the tasks set in the work: the historical method; abstraction method; method of comparative analysis; system-structural method. The main producer of livestock products in Ukraine are households. They do not have the capabilities to implement technologies of keeping, feeding, veterinary services, programs prerequisites for guaranteeing the safety of products, adherence to the HACCP principles. In Ukraine, real technical, economic and organizational-economic prerequisites for ensuring the safety and quality of livestock products are created only in the poultry meat sector. During 2015-2017, the trends in production of almost all types of livestock products except poultry and honey were identified. One of the reasons for this situation was, firstly, decreasing in capital investment in the livestock sector, and secondly, the low profitability of production of livestock products in the context of accelerated growth in prices for resources. It is proved that insignificant market (price) incentives should be supplemented with instruments of state assistance to improve the quality parameters of products on the basis of specialized enterprises. The necessity of state support for the production of livestock products based on small and medium-sized enterprises is substantiated. This will effectively combine the processes of increasing the production of livestock products with the environmental friendliness of production and steady improvement of quality. It is shown that the low quality of certain livestock products in Ukraine is caused by insufficient living standards of the population and low incomes of the majority of households, which cause them to consume low quality products. It is determined that the problem of guaranteeing the quality of livestock products in Ukraine has deep roots cause due to the influence of socio-economic factors. Therefore, a comprehensive approach is needed to solve it, which is not limited to improving the efficiency of the state control system and successfully harmonizing of the Ukrainian technical regulation system with the European one. The problem of low quality and the danger of livestock production requires a systematic approach for its solution, which is not limited, in particular, by measures to improve the system of state control and ensure approximation of the domestic technical regulation system to the European one. In Ukraine, major high-quality animal products are economically inaccessible to a large part of households. The projected increase in safety parameters and a certain improvement in the quality of livestock products as a result of the implementation of regulations adopted in 2014-2017, will necessarily lead to an increase in its value, and therefore may lead to a decrease in market demand and even greater inaccessibility of these products to people. All this can only aggravate the situation with guaranteeing the food security of the country, forming the prerequisites for increasing the intellectual capacity of the nation. (shrink)

The causal impacts of genes and environment on any one biological trait are inextricably entangled, and consequently it is widely accepted that it makes no sense in singleton cases to privilege either factor for particular credit. On the other hand, at a population level it may well be the case that one of the factors is responsible for more variation than the other. Standard methodological practice in biology uses the statistical technique of analysis of variance to measure this (...) latter kind of causal efficacy. In this paper, I argue that: 1) analysis of variance is in fact badly suited to this role; and. (shrink)

This study aimed to investigate the longitudinal trends in mathematical competencies of Grade 8 students in a public high school located in Zamboanga del Sur, Philippines. The study collected data over a period of six academic years, allowing for a comprehensive analysis of students' performance in 16 distinct mathematical competences of basic education curriculum. These topics include, but are not limited to, special products and factors, factoring, and basic concepts of probability. Using a quantitative research design, the study analyzed (...) both numerical and secondary data to identify patterns or trends in students' mathematical competencies. Trends were analyzed through regression analysis using slopes. The significance of these trends was then evaluated using t-tests for the standard error of slopes. The statistical analysis revealed significant upward trends in certain mathematical topics, indicating an improvement in the students' competencies over the six academic years. However, certain topics displayed downward or stable trends, indicating areas for improvement in the teaching methods used for these topics. The study highlights the importance of flexible and adaptable approaches to mathematics education. It emphasizes the need for constant evaluation and improvement of teaching methods to enhance student learning outcomes. The findings of this study provide valuable insights for educators and policymakers to guide evidence-based decision-making and improve the quality of mathematics education in the new normal setup. Implications and future research directions are incorporated in the study. (shrink)

Community and stakeholder support for marine and coastal ecosystem conservation policies is crucial. However, extant multinational studies on climate change-related factors that constrain stakeholders’ willingness to protect the ocean are limited. Therefore, the dataset from 709 marine stakeholders across 42 countries, part of the MaCoBioS project funded by the European Commission, was analyzed using the Bayesian Mindsponge Framework (BMF) method to fill the knowledge gap. The findings reveal that for individuals who think society is doing too much to address climate (...) change, new technologies can solve climate change. Responses to climate change can damage the country’s economy and might not be productive in supporting actions protecting the ocean. Based on the study results, we recommend policymakers raise awareness among individuals engaged in marine and coastal ecosystems about the crucial role of marine protection in combating climate change, taking into account the limitations of technology in solving climate change problems and the inadequacy of current efforts. The findings also provide insights for enhancing the effectiveness of awareness and knowledge-raising campaigns, conservation programs, and eco-surplus culture-building agenda. (shrink)

This study aims to investigate the factors that influence the motivation of students attending boarding schools/Islamic boarding schools in Makassar in the use of English and Arabic. The aims of this research are: (1) to find out and investigate the factors that influence students' motivation in using the two languages ​​by focusing on intrinsic and extrinsic factors. The method used is description. The population was taken from several Islamic boarding schools students in Makassar such as Annahdlah Islamic Boarding School, Madina (...) Islamic Boarding School and Ummul Mukminin Islamic Boarding School. In collecting data, the writer uses a questionnaire which is calculated using a Likert scale. The author also uses descriptive statistics based on the approach of Jerremy Harmer and Moslow's theory in analyzing the data obtained. This study found that there are two factors that influence a student's motivation when they use two languages ​​that they already know, namely: intrinsic and extrinsic factors. There are four intrinsic factors in using two languages, namely; physical conditions, methods, teachers, and success. Meanwhile, there are four extrinsic factors, namely integrative, instrumental, punishment, and also parental factors. The results of the overall analysis in this study indicate that extrinsic factors have a greater influence on student motivation in Islamic boarding schools than intrinsic factors. The implication of this research is to be able to provide more descriptions or descriptions to readers, especially to students majoring in English/Arabic Language and Literature about the factors that can influence students' motivation to use English and Arabic that they already know and how they are able to take lessons to increase their own intrinsic and extrinsic motivation. (shrink)

heart attack analysis & prediction dataset is a major cause of death worldwide. Early detection and intervention are essential for improving the chances of a positive outcome. This study presents a novel approach to predicting the likelihood of a person having heart failure using a neural network model. The dataset comprises 304 samples with 11 features, such as age, sex, chest pain type, Trtbps, cholesterol, fasting blood sugar, resting electrocardiogram results, maximum heart rate achieved, exercise-induced angina, oldpeak, ST_Slope, and (...) HeartDisease. A neural network model with four layers (1 input, 2 hidden, 1 output) was trained on the dataset and achieved an accuracy of 88% and an average error of 0078296. The most influential factors in heart failure prediction were found to be oldpeak, ST_Slope, sex, fastingBS, chestPainType, exerciseAngina, cholesterol, restingBP, maxHR, restingBP, and age. This study provides a valuable tool for early detection and intervention of heart failure, thereby contributing to the field of health and medicine. (shrink)

The idea of artificial intelligence for social good is gaining traction within information societies in general and the AI community in particular. It has the potential to tackle social problems through the development of AI-based solutions. Yet, to date, there is only limited understanding of what makes AI socially good in theory, what counts as AI4SG in practice, and how to reproduce its initial successes in terms of policies. This article addresses this gap by identifying seven ethical factors that are (...) essential for future AI4SG initiatives. The analysis is supported by 27 case examples of AI4SG projects. Some of these factors are almost entirely novel to AI, while the significance of other factors is heightened by the use of AI. From each of these factors, corresponding best practices are formulated which, subject to context and balance, may serve as preliminary guidelines to ensure that well-designed AI is more likely to serve the social good. (shrink)

a houseis a structure that provides shelter for humanity. Studies have shown that in most parts of the world, urban rents are determined by various factors. These factors include location, level of facilities and services, neighborhood characteristics, space etcetera. Among these factors, the most influencing factor of rent in Wa Municipality is the level of facilities and services provided for tenant use. The objectives of this research was to examine the cost of housing construction, to determine the role played (...) by government in housing provision, recommend policies for housing provision, determine the portion of household income spent on rent. The methodology of this research is base on interplay of deskwork and fieldwork and these took the form of data collection, presentation and data analysis of findings. In the course of this study, both qualitative and quantitative primary and secondary data were collected. A summary of the findings from the research indicates that: cost of building materials is the major contributory factor to the cost of construction aside land and labour cost, the existing rent control law as currently operated have little or no impact on rent charged in the Municipality, current rent levels in the municipality are deemed to be satisfactory, besides the already documented rent determinants, population, occupation, and prospective duration of lease were also identified. One other major finding was that landlords do not take into account the room v let but take into consideration the number of people occupying the room to charge their rent and as such tenants who cannot afford to pay the full recoverable rent has to search for tenants they don‟t know. The group recommends that, There should be given a high priority to local building materials, which could reduce the cost of building and the improvement of the supply chain of various building materials; there should be a mechanism that would ensure that the Rent Control Board, the house owners and tenants would be provided with a platform where consensus building can be done in order to ensure transparency in rent charge Finally, the government should also urge the exemption of value added taxes on building components sourced locally as well as import duties on imported goods. (shrink)

The study aimed at investigating the relationship between parental involvement and learners’ perceived attitude to their academic performance in Mathematics. To achieve this aim, the researcher used a sample of 134 parents and learners from grades 4-6 at Bungahan Elementary School. The researcher used the descriptive-correlational method of research, which utilized standardized questionnaires from published research. The study clearly revealed that learners’ attitudes toward Mathematics do not affect their academic performance in Mathematics. The result of the correlational analysis is (...) that learners’ perceived attitudes in Mathematics such as (a) Motivation and Support, (b) Anxiety in Learning, (c) Self-Efficacy in Learning Mathematics do not significantly affect their academic performance in Mathematics as these perceived attitudes got a significant level of greater than 0.05, therefore, the null hypothesis was accepted. However, among the different ways of parental involvement stated in the study, only the mentoring strategies provided by the parents during the indicated school year have been effective in increasing their performance in Mathematics. There is a significant relationship between the mentoring strategies of parents and learners’ academic performance; p= 0.016 (<0.05), which means a p-value smaller than 0.05 suggests that the correlation is statistically significant (at the 5 % level). The correlation coefficient for this is -0.253, which is negative. In other words: as the Mentoring Strategies increase, Learners’ Academic Performance decreases. Concerning the strength of the correlation, -0.253 can be said to be weak. Nevertheless, it is critical to investigate how parents can assist and contribute to their children's academic success. Conclusions were drawn and recommendations were offered. (shrink)

Text classification is one of the most important task in natural language processing, In this research, we carried out several experimental research on three (3) of the most popular Text classification NLP classifier in Convolutional Neural Network (CNN), Multinomial Naive Bayes (MNB), and Support Vector Machine (SVN). In the presence of enough training data, Deep Learning CNN work best in all parameters for evaluation with 77% accuracy, followed by SVM with accuracy of 76%, and multinomial Bayes with least performance of (...) 69% accuracy. CNN has the best performance in the presence of large enough training dataset because of the presence of filter/ kernels which help to indentify patterns in text data regardless of their position in the sentence. We repeated the training again with just one-third of our data, at this point SVM comes with the best performance, the performance of CNN noticeably drops but still better than Multinomial Naive Bayes, the reason why SVM works best when we reduce the training data was because of its ability to look for a hyper-plane that creates a boundary between different classes of data so as to properly classify them, so we believed that getting the hyper-plane was more efficient when we reduce the dataset, hence reason for the good performance. Multinomial Naive Bayes have the least performance which we attributed to its assumption of independency between the features which sometimes does not hold true. We concluded that availability of data should be an important factor when choosing classifier for Natural Language Processing Text Classification task. CNN should be use in the presence of enough dataset, and SVM should be use when data is not enough. Multinomial Naive Bayes must not be trusted with state of the art NLP task due to its assumption of independency between the features . (shrink)

: The design and usability of computer interfaces are crucial factors in improving user experience and productivity in the field of human-computer interaction. This overview examines the development of computer interfaces, starting with command-line interfaces (CLI) and moving on to graphical user interfaces (GUI), touch interfaces, and gesture-controlled interfaces. The guiding concepts of interface development are highlighted: usability, accessibility and user-centered design. The harmony of form and function, the incorporation of cutting-edge technologies such as voice recognition and augmented reality, and (...) the difficulties presented by the wide range of user requirements and preferences are important factors to take into account. Through an analysis of these factors, this brief seeks to offer perspectives on the future paths of computer interface design, emphasizing the importance of flexibility and intuition in meeting changes. (shrink)

This study analyzed consumers' preferences for local textiles, specifically Tie-dye and Batik, in the Itoku Local Government Area of Ogun State, Nigeria. Itoku markets were purposefully selected due to their high sales of Adire and Batik. One hundred and fifty respondents were randomly selected from two markets in Itoku. Data was collected through a structured questionnaire and analyzed using descriptive statistics such as means. T-test was used to analyze differences in preference between tie-dye and batik. The results (t = -7.97, (...) P = 0.003) showed a significant difference in consumers' attitudes towards tie-dye and batik. It was also found that the factors influencing consumers' preferences significantly affected both Adire and Batik (t = -4.11, P = 0.001). Further analysis revealed that there was no significant difference in the factors responsible for consumers' preferences between tie-dye and batik (t = 0.008, P = 0.940). Thus, a good number of the respondents preferred tie-dye to batik, just as there were a good number of them who also preferred batik to tie-dye, regardless of factors such as aesthetic values, design patterns, color combinations, durability, attractiveness, production cost, and selling prices. (shrink)

Previous research has assessed school facilities, administrative expenditures and curriculum and their relative contributions to students’ cognitive learning outcomes. This suggested the need to investigate further how these predictors may impact students’ affective and psychomotor outcomes. The current research studied the combined and relative prediction of school facilities, administrative expenses and curriculum on students’ overall cognitive, affective and psychomotor learning outcomes in public secondary schools. A cross-sectional research design was employed in this study, involving 87 school administrators and a randomly (...) selected group of 915 senior secondary class II (SS2) students. For data collection, we utilised the School Inputs Questionnaire (SIQ) and Educational Outcomes Questionnaire (EOQ), both developed by the researchers and validated through expert assessments, including content validity, Exploratory Factor Analysis (EFA) for dimensionality, Confirmatory Factor Analysis (CFA) for goodness of fit, and reliability using Cronbach's alpha. The results of these assessments demonstrated acceptable outcomes aligned with international standards. Hierarchical regression analysis was conducted to analyse the collected data. The findings indicated that enhancing the provision of quality school facilities, administrative expenses, and school curricula improved students' overall cognitive, affective, and psychomotor learning outcomes. Specifically, administrative expenses and school curriculum had significant predictive power for students’ overall cognitive, affective, and psychomotor learning outcomes. However, while school facilities significantly predicted students' overall, affective, and psychomotor dimensions, they did not significantly predict the cognitive dimension. These findings offer valuable insights for policymakers and educators aiming to enhance the educational quality in public secondary schools. (shrink)

The paper reviewed financial resources which is a critical factor and component of Business Process Re-engineering in achieving academic performance of higher education institutions in the Democratic Republic of Congo. The objective of the study is to examine whether financial resources can contribute to improving and achieving academic performance of higher education institutions in general and students in particular. The study used a systematic literature review and content analysis was to establish the relationship between financial resources and academic (...) performance. The key findings are grouped in three dimensions: 1) financial resources; 2) budget and funding/financial model; 3) tuitions fees, scholarship and loans provision. The study found consistent evidence to show that there is a significant and positive relationship between financial resources and performance of higher education institutions. The study concluded that higher education sector in the Democratic Republic of Congo needs a radical change and fundamental rethinking in improving educational budget processes to meet the needs of the institutions, provision of scholarship and loans processes to students mainly those from poor background and designing innovative financial/funding model to sustain educational institutions. The study is based on academic capitalism theory. The recommendations were made based on the findings of the study. -/- . (shrink)

Today every organization is acting in a dynamic environment and in a world characterised by turbulent change and fierce competition due to technological advancement and the knowledge based economy, an organization must always ready to adapt and transform themselves so as to be able to confront the shifting needs of the new environment, more demanding customers, smarter workers, anticipating ability to changes, accelerating the development of new products, processes and services, changing technologies and customer expectations, businesses have realised the importance (...) of Customer Relationship Management in acquiring new customers, retain existing ones and maximize their lifetime value. The wide spread availability of the internet across the world has led airlines to use their corporate web-sites to bypass travel intermediaries and focus on online communication, information and transaction. The paper considers five dimensions of Web site quality-usability, web site design, service quality, information quality and enjoyment on a sample of 150 respondents from four airlines namely, Air India, Spicejet, Indigo and Jet Airways. Respondents consisted of 40 employed, 80 business men and 30 students. Overall, the majority of respondents are frequent, experienced Internet users and likely to be relatively good judges of Web quality. Analysis of results shows that customers’ priority about airlines website are changing. As the self-service, no-frills and low-cost trend for air travel has grown in recent years, so consumers have been driven less by service quality and more by easy access to good information packaged in an entertaining and fun "wrapper'. More over the airlines have pursued different strategies for their Web sites over the period of study .Air India rated badly for service quality and Jet Airways and Spice jet scored high on service and information quality. The paper suggests that careful management and selection of subjects to be placed on web site can retain the customers and reduce switching intentions. (shrink)

Kidney stones pose a significant health concern, and early detection can lead to timely intervention and improved patient outcomes. This research endeavours to predict the presence of kidney stones based on urine analysis, utilizing a neural network model. A dataset of 552 urine specimens, comprising six essential physical characteristics (specific gravity, pH, osmolarity, conductivity, urea concentration, and calcium concentration), was collected and prepared. Our proposed neural network architecture, featuring three layers (input, hidden, output), was trained and validated, achieving an (...) impressive accuracy of 98.67% and an average error of 0.012. In addition to model performance, feature importance analysis was conducted to determine the most influential factors in predicting kidney stone presence. The findings underscore the significance of urea concentration, specific gravity, calcium concentration, conductivity, osmolarity, and pH as key indicators. This research contributes to the early diagnosis of kidney stones and demonstrates the potential of neural networks in medical diagnostics. The clinical implications of these findings are discussed, emphasizing the importance of timely intervention in managing kidney stone-related health issues. (shrink)