The study aimed to identify the role of measuring and evaluating performance in achieving the objectives of control and the performance of the job at the Islamic University in Gaza Strip. To achieve the objectives of the research, the researchers used the descriptive analytical approach to collect information which is the questionnaire that consisted of (22) phrases were distributed to three categories of employees of the Islamic University (Faculty Members and Their Assistants, Members of the Administrative (...) Board, Senior Management). A random sample of (314) employees was selected and 276 responses were retrieved with a recovery rate of 88.1%. The Statistical Analysis Program (SPSS) was used to enter process and analyze the data. The results of the research showed a positive role between measuring and evaluating the performance and achieving the objectives of the control of performance in the Islamic University from the point of view of the members (senior management, faculty and their assistants, and members of administrative board). The researchers also recommended a number of recommendations, most notably the provision of an appropriate level of the elements of the control systems today through the modernization and continuous development of performance measures and the need to provide the physical and financial resources necessary to continue the development and achievement within the university, to expand the development of technology in the various activities of the university through the construction of a complete and integrated system to support supervision systems in the university to suit the size of the university. The researchers also recommended following up and reviewing the performance measures and work to modify them in line with the mission and the goals of the university that it seeks to reach. (shrink)

The present research extends previous functional accounts of counterfactual thinking by incorporating the notion of reflective and evaluative processing. Participants generated counterfactuals about their anagram performance, after which their persistence and performance on a second set of anagrams was measured. Evaluative processing of upward counterfactuals elicited a larger increase in persistence and better performance than did reflective processing of upward counterfactuals, whereas reflective processing of downward counterfactuals elicited a larger increase in persistence and better performance than (...) did evaluative processing of downward counterfactuals. Moreover, path analyses indicated that whereas the relationship between counterfactual thinking and persistence was accounted for by emotional responses following upward and downward counterfactual generation, the relationship between counterfactual thinking and performance was accounted for by enhanced persistence following reflective processing of downward counterfactuals, but was accounted for by both enhanced persistence and strategic thinking following evaluative processing of upward counterfactuals. (shrink)

The study aimed at measuring the dominant pattern of leadership and its relation to the performance of the administrative staff in the Palestinian universities. The study community consists of all the administrative staff from Al-Azhar University and the Islamic University, and through the census of the study society it was found to consist of (655) administrative staff. In order to achieve the objectives of the study, the researchers used the method of random sample in the study, and the (...) study was conducted on a sample of (221) administrative staff of the surveyed universities and the response rate was (82.35%). The study found that there is a high degree of satisfaction with the Dominant Pattern of Leadership in the Palestinian universities in Gaza Strip from the point of view of the administrative staff, which reached (71.67%). There is a high level of performance from the point of view of administrative staff, with a percentage of (82.53%). There is a direct correlation between the dominant pattern of leadership and the functional Performance of Administrative Staff, the absence of differences between the sample according to the gender variable in their perception of the dominant pattern of leadership and the functional Performance of Administrative Staff, the absence of differences in the perception of employees of the dominant pattern of leadership and the functional Performance of Administrative Staff depending on the age variable. There are differences of statistical significance according to the variable of scientific qualification in the Dominant Pattern of Leadership, while there were no differences in performance, the differences in the dominant pattern of leadership according to the scientific qualification were in favor of those who obtained the diploma degree compared to other practical qualifications, the absence of differences in the perception of employees of the dominant pattern of leadership and the functional Performance of Administrative Staff depending on the variable years of service, the absence of differences in the perception of employees of the dominant pattern of leadership and the functional Performance of Administrative Staff depending on the variable level of career (Director, Head of Department, and Administrative Officer). There were differences in the perception of workers to the dominant pattern of leadership depending on the variable of the workplace, where there were differences in favor of workers in deanships and colleges compared with the workers in the technical departments. While there were no differences in job performance according to the workplace variable, the existence of differences in the perception of workers to the dominant pattern of leadership depending on the university in which they work in favor of the Islamic University and the absence of differences in performance between the Islamic University and Al-Azhar University. The study reached a number of recommendations, the most important of which is that the interest of the managements of the Palestinian universities in improving the dominant pattern of leadership, to give universities the opportunity to participate in decision-making, the continued administration of universities interest and continuous improvement of the performance of its employees, enhance the periodic evaluation of job performance and to inform employees and express their opinion, solving workers' problems and giving them the opportunity to contribute to solving their own problems, the use of the staff rotation method periodically and strengthening the democratic the dominant pattern of leadership and empowering university staff. -/- . (shrink)

This paper addresses the field of economic measurements of the value of assets, carried out by the methods of independent expert evaluation. The mathematical principles of application, within a comparative methodical approach, of additive and multiplicative models for correcting the cost of single indicator of compared objects have been considered. The differences of mathematical basis of the compared models were analyzed. It has been shown that the ambiguity in the methodology of correction procedure requires studying the advantages and disadvantages of (...) known models, as well as the justification and elaboration of recommendations for their application. Possible forms of correction representation using several alternative units of measurement have been defined; formulas for their interconnection have been built. Analytic expressions have been derived that mathematically describe the algorithms for performing the evaluation correction procedure using various forms of correction representation. The influence of the correction execution model on the characteristics of uncertainty in the independent evaluation result has been analyzed. The scope of two possible types of correction introduction models has been determined. A specific numerical example was used to demonstrate the methodological advantages of using a multiplicative model when summarizing percentage corrections. The independence of the correction result on the sequence of correction introduction has been confirmed. It is proposed to use the selected measure of partial corrections as a criterion for the adequacy of the correction introduction model. It is proved that the result of the independent expert evaluation depends on the chosen model and does not depend on the sequence of correction introduction. The reported study results are important in terms of theory and practice since they make it possible to improve the accuracy and reliability of the result of independent expert evaluation. (shrink)

Statistics and probability enabled students to better understand, process, and evaluate massive amounts of quantitative data that existed and had a probabilistic sense in uncertain situations. The research article aimed to elucidate the performance and self-efficacy as predictors of students' achievement in the statistics and probability courses. The study utilized a descriptive-predictive research method and was conducted at Sto. Tomas National High School, involving a sample of 263 grade 11 senior high school students. The gathered data were analyzed using (...) descriptive measures and multiple regression analysis. The study's results revealed that the performance in General Mathematics was very satisfactory, while self-efficacy was high. Moreover, the level of achievement in Statistics and Probability was very satisfactory. It was also revealed that both General Mathematics performance and self-efficacy had a positive and significant relationship with Statistics and Probability achievement. Through regression analysis, it was discovered that General Mathematics performance was the strongest predictor that influenced achievement in Statistics and Probability. The study identified a significant predictive model for Statistics and Probability achievement. These findings could provide valuable guidance to teachers in enhancing the achievement of senior high school students in Statistics and Probability. (shrink)

Abstract: The efficiency and performance of sorting algorithms play a crucial role in various applications and industries. In this research paper, we present a comprehensive comparative analysis of popular sorting algorithms on datasets of different sizes and characteristics. The aim is to evaluate the algorithms' performance and identify their strengths and weaknesses under varying scenarios. We consider six commonly used sorting algorithms: QuickSort, TimSort, MergeSort, HeapSort, RadixSort, and ShellSort. These algorithms represent a range of approaches and techniques, including (...) divide-and-conquer, hybrid sorting, and simple comparison-based methods. To assess their performance, we employ a diverse set of datasets, including the Iris dataset (1K), student dataset (5.8K), Wine dataset (6.5K), Uniform (10K), Normal (10K), Exponential (10K), Bimodal (10K), Yelp dataset (10K), MNIST dataset (42K), Uniform (100K), Normal (100K), Exponential (100K), Bimodal (100K), Uniform (500K), Normal (500K), Exponential (500K), Bimodal (500K), Uniform (1M), Normal (1M), Exponential (1M), and Bimodal (1M). These datasets cover a wide range of sizes and characteristics, allowing us to analyze the algorithms' performance across different dimensions. We measure and compare several key metrics, including execution time, memory usage, algorithmic complexity and stability. By analyzing these metrics, we gain insights into the efficiency and suitability of each algorithm for different dataset sizes and characteristics. We also discuss the implications of the findings in practical applications. Our results reveal important trade-offs among the sorting algorithms. While some algorithms excel in certain scenarios, others demonstrate better scalability or memory efficiency. We identify the best-performing algorithms for specific dataset characteristics and highlight their strengths and limitations. This research can assist developers and practitioners in selecting appropriate sorting algorithms based on their specific requirements and dataset characteristics. In conclusion, this comparative analysis provides a valuable contribution to the understanding of sorting algorithm performance. The findings contribute insights into the efficiency and suitability of popular sorting algorithms across datasets of different sizes and characteristics. By evaluating key metrics and discussing the implications, we offer guidance for selecting the most appropriate sorting algorithm in various practical scenarios. (shrink)

Objective: The aim of our study is to reveal the errors that can be encountered during the shooting of photogrammetric studies on the lower extremities. -/- Methods: We revealed the necessary tools that used during photogrammetry measurements of the lower limb. Also, the errors have been encountered of our two previous studies performed on photogrammetry of lower limbs. The technical errors or incorrect positioning of 20 from 220 volunteers were encountered. -/- Results: The identified errors of 20 volunteers’ photographs related (...) to lower limb were about the inadequate quality image, calibration, poor lightining, positioning error of trunk or parts of lower limb and clothes that cover the anatomical points affected the measurements. -/- Conclusion: Photogrammetry is an important and useful tool for evaluation, diagnosis, treatment, and efficacy monitoring. In anatomy, it is frequently used as a time-saving method in terms of measurement and evaluation in the laboratory, which can be applied and repeated for research. For this reason, errors that occur during the lower extremity have been reported and we think that it will be useful for studies on this part of the body and can be a guide. (shrink)

The performing arts and their financing have been analyzed by cultural economics. Many papers have focused on importance of state intervention both as a financing agent, as a provider and producer of cultural services. Otherwise, several studies have appeared focusing on management of the performing arts in Management Accounting framework. This paper shows relevance of performance indicators for evaluating cultural policies and focuses on symphony orchestras financed with public funds. The objective is verifying strategy compliance and measure the (...) efficient and effective use of the public resources and evaluate the social and cultural profitability too. This paper also proposes a change in the symphonic orchestras current strategy for increasing social and cultural profitability. (shrink)

This paper examines the relationship of ethical decision-making by individuals to corporate business ethics and organizational performance of three groups: SMEs, Outstanding SMEs and Large Enterprises, in order to provide a reference for Taiwanese entrepreneurs to practice better business ethics. The survey method involved random sampling of 132 enterprises within three groups. Some 524 out of 1320 questionnaires were valid. The survey results demonstrated that ethical decision-making by individuals, corporate business ethics and organizational performance are highly related. In (...) summary, then, high levels of organizational performance were directly attributable to high levels of applied corporate and individual ethics. Furthermore, there is a demonstrable tendency for Outstanding SMEs to reject ethically unsound practices such as padded expense accounts, tax evasion and misleading advertising. The measurement criteria used to assess organizational performance, however, did not include an objective evaluation of financial performance. (shrink)

Abstract: Public procurement is the acquisition of right goods, works and services required to satisfy certain needs at the right time, from the right supplier, in the right quantities, in the right quality, and at the right price. Worldwide it accounts 10% – 30 % of GNP while in Tanzania it accounts for about more 45% of the total budget. Appropriate procurement system in the public sector is a tool for achieving political, economic and social goals. The research examined the (...) impact of the capacity building on the performance of LGAs procurement function, was conducted in Tanzania to the four regions in 2018, comprised a sample size of 224 respondents from eight Local Government Authorities (LGAs). Qualitative and quantitative data were collected, employed the case study method intended to the Evaluate Assessment of Capacity Building Programme on the Performance of LGAs procurement functions. The study revealed that procurement functions have improved because of the intervention of capacity building such as the improvement of the; Use and application of PPA and PPR, use and application of Procurement Planning, use and application of Contract Management and Administration, use procurement record keeping and reporting, use and application of PMIS & Other Procurement Systems, appropriate Tendering Process. Also, the researchers have revealed challenges hindering LGAs procurement system such as; lack training, unpredictable funds flow and political interference. Moreover, based on the contributions attributed by the capacity building further research can be undertaking to measure the impact of capacity building in the other areas apart from procurement field such as; health, agriculture, good governance and so on. In addition to that, another research can be undertaken to assess the factors hindering the performance of LGAs procurement system. (shrink)

A method of identifying banks’ business models and studying the features of their risk profile, considering the system of indicators featuring the structure of assets, liabilities, income, expenses, and other qualitative indicators based on monthly statistical reporting. Kohonen's self-organizing maps (SOM) are used to process large data sets, revealing objects’ hidden features by forming homogeneous groups according to similar values of a large system of indicators. The choice of the system of indicators that play the most significant role in describing (...) the business models of modern banks is substantiated. The proposed method makes it possible to group banks with homogeneous characteristics into so-called structural-functional groups and studies the change in the characteristics of groups of banks over time to compare their behavior during periods of active development of the system and during a crisis. That approach is useful for studying the banking system at the macro level, as it provides a quantitative measure of its financial stability. The more banks are in groups with negative values of parameters, increased risks, and unprofitable performance, the worse the general state of the system. The method also allows studying the features of each structural and functional group and the business models’ features at the meso-level. The number and composition of banks inherent in any group change dynamically, which characterizes the features of the relevant business model in a particular period. The averages of each group reflect the objective changes in the banking system structure. In addition, the SOM trajectory can be built for each individual bank determining the development of its strategy, features of a particular business model, and risk profile. At the micro-level, it allows comparing the features of individual banks within the SFGB and models ways to improve efficiency and financial stability by forecast values for SOM. An extensive system of indicators used to form structural and functional groups of banks allows to quickly respond to changes in the banking system, identify areas of increased risk and explore the adequacy and effectiveness of banks’ business models. (shrink)

Driven by technological innovations, newborn screening (NBS) panels have been expanded and the development of genomic NBS pilot programs is rapidly progressing. Decisions on disease selection for NBS are still based on the Wilson and Jungner (WJ) criteria published in 1968. Despite this uniform reference, interpretation of the WJ criteria and actual disease selection for NBS programs are highly variable. A systematic literature search [PubMED search “Wilson” AND “Jungner”; last search 16.07.22] was performed to evaluate the applicability of the WJ (...) criteria for current and future NBS programs and the need for adaptation. By at least two reviewers, 105 publications (systematic literature search, N = 77; manual search, N = 28) were screened for relevant content and, finally, 38 publications were evaluated. Limited by the study design of qualitative text analysis, no statistical evaluation was performed, but a structured collection of reported aspects of criticism and proposed improvements was instead collated. This revealed a set of general limitations of the WJ criteria, such as imprecise terminology, lack of measurability and objectivity, missing pediatric focus, and absent guidance on program management. Furthermore, it unraveled specific aspects of criticism on clinical, diagnostic, therapeutic, and economical aspects. A major obstacle was found to be the incompletely understood natural history and phenotypic diversity of rare diseases prior to NBS implementation, resulting in uncertainty about case definition, risk stratification, and indications for treatment. This gap could be closed through the systematic collection and evaluation of real-world evidence on the quality, safety, and (cost-)effectiveness of NBS, as well as the long-term benefits experienced by screened individuals. An integrated NBS public health program that is designed to continuously learn would fulfil these requirements, and a multi-dimensional framework for future NBS programs integrating medical, ethical, legal, and societal perspectives is overdue. (shrink)

The rapid advancement of artificial intelligence (AI) has generated an increasing demand for tools that can assess public attitudes toward AI. This study proposes the development and the validation of the AI Attitude Scale (AIAS), a concise self-report instrument designed to evaluate public perceptions of AI technology. The first version of the AIAS that the present manuscript proposes comprises five items, including one reverse-scored item, which aims to gauge individuals’ beliefs about AI’s influence on their lives, careers, and humanity overall. (...) The scale is designed to capture attitudes toward AI, focusing on the perceived utility and potential impact of technology on society and humanity. The psychometric properties of the scale were investigated using diverse samples in two separate studies. An exploratory factor analysis was initially conducted on a preliminary 5-item version of the scale. Such exploratory validation study revealed the need to divide the scale into two factors. While the results demonstrated satisfactory internal consistency for the overall scale and its correlation with related psychometric measures, separate analyses for each factor showed robust internal consistency for Factor 1 but insufficient internal consistency for Factor 2. As a result, a second version of the scale is developed and validated, omitting the item that displayed weak correlation with the remaining items in the questionnaire. The refined final 1-factor, 4-item AIAS demonstrated superior overall internal consistency compared to the initial 5-item scale and the proposed factors. Further confirmatory factor analyses, performed on a different sample of participants, confirmed that the 1-factor model (4-items) of the AIAS exhibited an adequate fit to the data, providing additional evidence for the scale’s structural validity and generalizability across diverse populations. In conclusion, the analyses reported in this article suggest that the developed and validated 4-items AIAS can be a valuable instrument for researchers and professionals working on AI development who seek to understand and study users’ general attitudes toward AI. (shrink)

With the ageing of the Portuguese population, there are more people in dependency situations and needing long-term care (LTC). In this context, it is important to ensure the quality of life (QoL) of those individuals, and that quality can be measured through their health-related quality of life (HRQoL) and overall well-being. Also, understanding how perceived service quality (PSQ) can be related to how people perceive their QoL is pertinent since service quality is an important factor to achieve patient health outcomes. (...) To develop this project, a LTC unit located in the district of Lisbon was chosen, the LTC unit of Arruda dos Vinhos. The main objective was to assess the relation between the PSQ, the HRQoL and the overall well-being of patients receiving LTC at the LTC unit of Arruda dos Vinhos. A project based on a case study was performed, through interviews based on the items of the SERVPERF, EQ-5D and ICECAP-O questionnaires, which were then analysed through content analysis. Results showed there is a relation between PSQ and HRQoL and between HRQoL and overall well-being. It was also possible to realise that to better evaluate the quality of this specific service, other subjects as the activities performed at the LTC unit, the physiotherapy service and the food provided, should be taken in consideration. Concluding, there is a relation between PSQ and the QoL of the patients receiving LTC at the LTC unit of Arruda dos Vinhos, when quality of life is measured through HRQoL. (shrink)

Cloud computing (ClC) has become a more popular computer paradigm in the preceding few years. Quality of Service (QoS) is becoming a crucial issue in service alteration because of the rapid growth in the number of cloud services. When evaluating cloud service functioning using several performance measures, the issue becomes more complex and non-trivial. It is therefore quite difficult and crucial for consumers to choose the best cloud service. The user's choices are provided in a quantifiable manner in (...) the current methods for choosing cloud services. Hence, this study attempts to achieve this objective through construction. decision-making framework so-called cloud services evaluator (CSsEv). The main indicator and its sub-indicators are formed as nodes at levels(n) in tree soft sets (TSSs). Thereafter Single Value Neutrosophic Sets (SVNSs) as branch of neutrosophic sets which conjunction with the Multi-Criteria Decision Making (MCDM) technique to facilitate analysis and evaluation process for the available Cloud services providers. Hence, entropy is employed to obtain indicators and sub_indicators weights and Complex Proportional Assessment utilizes these weights to facilitate the decision process of selecting optimal ClSPs. (shrink)

Risk assessment is one of the prerequisites for understanding its causes and possible consequences. We base our risk assessment on the principles described in the European standard EN 31000 - Risk Management Process. This standard comprehensively describes the continuous activities that are necessary in managing risks and minimizing their possible adverse effects on the operation of the system under investigation. In this activity, it is necessary to first identify the existing risks, then analyze and evaluate the identified risks. In the (...) analysis of existing risks, it is possible to use both qualitative and quantitative analytical methods, or combine them. We use qualitative methods in cases where we do not have a sufficient amount of input information, these are more subjective. Quantitative methods are more accurate, but also more demanding on input information and time. The choice of a suitable analytical method is a basic prerequisite for knowledge of risks and their evaluation. The values of individual risks obtained in this way are the basis for determining the measures that are ecessary to minimize them, i.e., to adjust them to an acceptable level. The draft measures are always based on the value of the individual components used to calculate the risk number, as well as on the value of the asset , which needs to be protected. Appropriately chosen analytical methods are one of the basic prerequisites for the consistent application of the principles of risk management, as a continuous process aimed at increasing the overall security of the system under study. In the article, the author describes the procedures used in risk assessment, as well as specific analytical methods that can be used in working with risks. The aim of identifying risk factors is to create a list of events that could cause undesirable disruption to ongoing processes. At this stage, we define all the risks that will be subsequently analyzed and evaluated. When identifying, we can use methods such as, e.g. SWOT, PHA (Preliminary Hazard Analysis) or CA (Checklist Analysis). Methods suitable for determining the causes and creating scenarios for the course of a risk event are ETA (Event Tree Analysis) or FTA (Fault Tree Analysis). The basic analysis of the system can be performed using the FMEA method (Failure Mode and Effect Analysis), which provides a numerical risk assessment. By comparison with the numerical value of the risk that we are willing to accept, we obtain 2 groups of risks. Acceptable, which will be given regular attention and unacceptable, which we will focus on in risk management and we will try to minimize its negative affect on the functioning of the system under study. (shrink)

The article aims to provide insight into the water absorption, capillarity action, and material composition of various bricks and panels used as external coatings for buildings. The materials analyzed include silicate brick, red clay brick, normal clay hollow brick, concrete block, and EPS fibre cement composite wall panel. These types of bricks and panels are widely used in buildings in Albania, making their water absorption characteristics and hygroscopic moisture levels important factors to consider for future applications. The study is based (...) on an experiment involving five material samples. Initially, the samples are dried and then partially submerged in water for 12, 24, and 36 hours. Afterward, they are removed from the water and dried indoors for 12, 24, and 36 hours. The moisture content is measured at three intervals for each sample category. The experiment also analyzes the capillarity action of water within the materials to evaluate their overall performance. Based on the results, red clay brick and normal clay hollow brick were identified as the most vulnerable materials due to their composition, high capillarity action, and significant water absorption. These findings are crucial for determining the suitability of these materials in construction practices. (shrink)

In todays educational landscape, adapting teaching methods to the digital age is important. While traditional approaches remain essential, they may not fully engage students in multimedia-rich environments. This study evaluates multimedia tools effectiveness in teaching Filipino subjects to Grade 10 learners at Tikalaan National High School for School Year 2023-2024. It examines the impact of such tools on academic performance and student attitudes by comparing pretest and posttest results between control and experimental groups and its implications in teaching Filipino (...) to Grade 10 learners. The study involves Grade 10 students divided into two groups of thirty-five (35) both the Control Group and the Experimental Group. Data collection involved the Division-Based Quarterly Assessment for both pretest and posttest evaluations to measure academic progress. Additionally, a researcher-created survey is made to assess students attitudes towards multimedia tools. Respondents were selected through purposive sampling, focusing on characteristics relevant to the studys objectives. A quasi-experimental design was used, comparing the pretest and posttest results of both groups to determine multimedia tools effectiveness. Statistical analyses, including T-test, ANOVA, and F-test, were used to evaluate the significance of observed differences. The study reveals significant improvement in academic performance and a positive shift in attitudes towards multimedia tools among the experimental group. These findings suggest that multimedia tools can enhance learners academic performance and foster greater student engagement. It underscores the importance of integrating multimedia tools into educational practices to improve teaching and learning outcomes. Recommendations include incorporating multimedia into the curriculum and providing professional development for educators to maximize these tools effectiveness. (shrink)

Job satisfaction cannot be defined by a single measurement alone. In fact, there is substantial evidence to support a relationship between satisfaction and performance of a job. For such a relationship there has been tremendous interest among managers and economists as it helps in increasing the quality as well as quantity of the production. However, some argue contrarily, that rather it is the performance that leads to satisfaction. Whatever be the direction of relationship, one thing is clear that (...) productivity and satisfaction have some mutual relationship and each of them affects the other. This paper examines as to when generalizations are to be made it becomes imperative to see which of the factor differentiates the job satisfaction level of private from the public sector employees and if the satisfaction levels of any of the two sectors are different from the other then what are the implications of that on the performance, growth and effectiveness in the long run. The paper empirically measures employee satisfaction in key areas, organizations can gain the information needed to improve their satisfaction, motivation, retention and productivity. (shrink)

This chapter has two main goals: to update philosophers on the state of the art in the scientific psychology of intelligence, and to explain and evaluate challenges to the measurement invariance of intelligence tests. First, we provide a brief history of the scientific psychology of intelligence. Next, we discuss the metaphysics of intelligence in light of scientific studies in psychology and neuroimaging. Finally, we turn to recent skeptical developments related to measurement invariance. These have largely focused on attributability: Where do (...) the mechanisms and dispositions that explain people’s performance on tests of intelligence inhere – in the agent, in the local testing environment, in the culture, or in the interactions among these? After explaining what measurement invariance is in the context of intelligence testing, we explore the phenomenon of stereotype threat as a challenge to measurement invariance, as well as more recent work on overcoming or buffering against stereotype threat. (shrink)

Sheep production is the most representative livestock activities in Brazil and in the world. However, the reproductive performance of these animals is determined by factors genetic, physical environment, management and, especially, nutritional. Thirty half-breed lambs from Dorper × Santa Inês were used, with initial weight and age of 31.87 ± 0.5 kg and 157 days, respectively. These animals were prepared on a diet with three food levels (ad libitum, 30% and 70%). Morphometric measurements were measured at intervals of 16 (...) to 20 days in 56 experimental days. The measurements performed were scrotal circumference (CE), chest circumference (CT), body condition score (ECC), withers height (AC) and scrotal bag thickness (EBE), body weight (CP) and semen collection. Interaction occurrence for biometric measurements between food levels and age (p <0.05). The TC and ECC values were higher in animals fed ad libitum (p <0.001). EBE had higher values in animals ad libitum and at 211 days of age (p <0.001). The CP was increasing for the animals ad libitum and (p <0.05) throughout the experiment, while the T30 was only in the initial period. T70 animals did not grow during the whole experiment. CE was influenced by diet (p <0.001) and age (p <0.001) independently. So that animals under food restriction had less development and was higher in older animals. The AC values were influenced only by age (p <0.001), demonstrating the effect of age growth. We conclude that it is not advantageous to submit lambs, it corrects food reproduction. Although it was not possible to assess whether initial malnutrition would bring future problems for the animal's seminal quality, it proved to be immensely negative for the onset of puberty and the development of reproductive structures. -/- REFERÊNCIAS BIBLIOGRÁFICAS AKUMBUGU, F. E., et al. 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Avaliação de parâmetros fisiológicos de ovinos Dorper, Santa Inês e seus mestiços perante condições climáticas do trópico semi-árido nordestino. Ciência e Agrotecnologia, v. 28, n. 3, p. 614-620, 2004. CHACÓN, L. et al. Características de la pubertad en corderos de pelo y sus cruces en Colombia en condiciones de baja altitud. Revista MVZ Cordoba, v. 24, n. 1, p. 7099-7103, 2019. CHEMINEAU, P. et al. Training manual on artificial insemination in sheep and goats. Rome: FAO; 1991. DA SILVA, Emanuel Isaque Cordeiro. Comportamento Sexual dos Animais Domésticos. 2020. DA SILVA, Emanuel Isaque Cordeiro. Fisiologia do ciclo estral dos animais domésticos. Emanuel Isaque Cordeiro da Silva, 2021. Da Silva EIC. Formulação de ração para ovinos. 1ª ed. Belo Jardim, PE: IPA, 2021. DA SILVA, Emanuel Isaque Cordeiro. Puberdade e Estacionalidade Reprodutiva dos Animais. 2020. FAO. Animal Production and Health Paper, v. 83. ELMAZ, Ö. et al. Prediction of postpubertal reproductive potential according to prepubertal body weight, testicular size, and testosterone concentration using multiple regression analysis in Kıvırcık ram lambs. Turkish journal of veterinary and animal sciences, v. 32, n. 5, p. 335-343, 2008. JUCÁ, A. F. et al. Performance of the Santa Ines breed raised on pasture in semiarid tropical regions and factors that explain trait variation. Tropical animal health and production, v. 46, n. 7, p. 1249-1256, 2014. FOURIE, P. J. et al. Scrotal, testicular and semen characteristics of young Dorper rams managed under intensive and extensive conditions. Small Ruminant Research, v. 54, n. 1-2, p. 53-59, 2004. GUNN, R. G.; SIM, D. A.; HUNTER, E. A. Effects of nutrition in utero and in early life on the subsequent lifetime reproductive performance of Scottish Blackface ewes in two management systems. Animal Science, v. 60, n. 2, p. 223-230, 1995. HÖTZEL, M. J. et al. Morphometric and endocrine analyses of the effects of nutrition on the testis of mature Merino rams. Reproduction, v. 113, n. 2, p. 217-230, 1998. Instituto Brasileiro de Geografia e Estatística (IBGE). Produção Pecuária municipal. Rio de Janeiro, v. 46, p.1-8, 2018. KENYON, P. R.; MALONEY, S. K.; BLACHE, D. Review of sheep body condition score in relation to production characteristics. New Zealand Journal of Agricultural Research, v. 57, n. 1, p. 38-64, 2014. KHERADMAND, A.; BABAEI, H.; ALI BATAVANI, R. Effect of improved diet on semen quality and scrotal circumference in the ram. Veterinarski arhiv, v. 76, n. 4, p. 333-341, 2006. KORKMAZ, M. K.; EMSEN, E. Growth and reproductive traits of purebred and crossbred Romanov lambs in Eastern Anatolia. Anim. Reprod., v. 13, n. 1, p. 3-6, 2016. KRIDLI, R. T. et al. Age at puberty and some biological parameters of Awassi and its first crosses with Charollais and Romanov rams. Italian journal of animal science, v. 5, n. 2, p. 193-202, 2006. LOUW, D. F. J.; JOUBERT, D. M. Puberty in the male Dorper sheep and Boer goat. S. Afr. J. Agric. Sci, v. 7, p. 509-520, 1964. MAIA, A. S. C.; SILVA, R. G.; ANDRADE, P. C. Efeitos da temperatura e da movimentação do ar sobre o isolamento térmico do velo de ovinos em câmara climática. Revista Brasileira de Zootecnia, v. 38, n. 1, p. 104-108, 2009. MARTINS, R. D. et al. Avaliação da sazonalidade reprodutiva de carneiros Santa Inês criados no Distrito Federal. R. Bras. Zootec., Viçosa, v. 32, n. 6, supl. 1, p. 1594-1603, Dec. 2003. MENDES, A. M. P. et al. Zoneamento bioclimático para a raça ovina Dorper no Estado de Pernambuco. Pesquisa Agropecuária Brasileira, v. 49, n. 12, p. 986-993, 2014. MOULLA, F. et al. Characterization of the onset of puberty in Tazegzawt lambs, an endangered Algerian sheep: Body weight, thoracic perimeter, testicular growth, and seminal parameters. Veterinary world, v. 11, n. 7, p. 889, 2018. NATIONAL RESEARCH COUNCIL (NRC). Nutrient Requirements of Small Ruminants: Sheep, Goats, Cervids, and New World Camelids. Washington, D.C.: National Academy Press, 2007. NOTTER, D. R.; LUCAS, J. R.; MCCLAUGHERTY, F. S. Accuracy of estimation of testis weight from in situ testis measures in ram lambs. Theriogenology, v. 15, n. 2, p. 227-234, 1981. SEJIAN, V. et al. Effect of body condition score on the allometric measurements and reproductive performance of Garole X Malpura ewes under hot semi-arid environment. Journal of Dairy, Veterinary & Animal Research, v. 2, n. 6, p. 1-4, 2015. PACHECO, A.; MADELLA-OLIVEIRA, A. F.; QUIRINO, C. R. Biometria e formas dos testículos em cordeiros da raça Santa Inês explorados em regime de manejo intensivo. Revista Brasileira de Ciências Agrárias, v. 5, n. 1, p. 123-128, 2010. REGO NETO, A. A. et al. Population genetic structure of Santa Inês sheep in Brazil. Tropical animal health and production, v. 50, n. 3, p. 503-508, 2018. RHIND, S. M. Effects of maternal nutrition on fetal and neonatal reproductive development and function. Animal Reproduction Science, v. 82, p. 169-181, 2004. RIBEIRO, E. L. A.; GONZÁLEZ-GARCÍA, E. Indigenous sheep breeds in Brazil: potential role for contributing to the sustainability of production systems. Tropical animal health and production, v. 48, n. 7, p. 1305-1313, 2016. RIBEIRO, M. S. et al. Repeatability and effect of age on reproductive characteristics in Santa Ines rams. Archivos de zootecnia, v. 67, n. 257, p. 143-147, 2018. RUSSEL, A. J. F.; DONEY, J. M.; GUNN, R. G. Subjective assessment of body fat in live sheep. The Journal of Agricultural Science, v. 72, n. 3, p. 451-454, 1969. SILVA, N. V. et al. Medidas in vivo e da carcaça e constituintes não carcaça de ovinos alimentados com diferentes níveis do subproduto agroindustrial da goiaba. Revista Brasileira de Saúde e Produção Animal, v. 17, n. 1, p. 101-115, 2016. SILVA, P. et al. Influence of placentally mediated fetal growth restriction on the onset of puberty in male and female lambs. Reproduction, v. 122, n. 3, p. 375-383, 2001. SIQUEIRA FILHO, E. R. Influência dos níveis protéicos fornecidos na dieta sobre o sistema reprodutivo de carneiros. 2007. 75 f. Dissertação (mestrado) - Universidade Estadual Paulista, Faculdade de Medicina Veterinária e Zootecnia de Botucatu, 2007. SOUZA, J. S da et al. Biometric measurements of Santa Inês meat sheep reared on Brachiaria brizantha pastures in Northeast Brazil. Plos one, v. 14, n. 7, p. e0219343, 2019. (shrink)

Polarization is a topic of intense interest among social scientists, but there is significant disagreement regarding the character of the phenomenon and little understanding of underlying mechanics. A first problem, we argue, is that polarization appears in the literature as not one concept but many. In the first part of the article, we distinguish nine phenomena that may be considered polarization, with suggestions of appropriate measures for each. In the second part of the article, we apply this analysis to evaluate (...) the types of polarization generated by the three major families of computational models proposing specific mechanisms of opinion polarization. (shrink)

This study assessed quality assurance practices and students’ performance evaluation in universities of South-South Nigeria using an SEM approach. Three null hypotheses guided the study. Based on factorial research design, and using a stratified random sampling technique, a sample of 878 academic staff were drawn from a sampling frame of 15 universities in South-South Nigeria. Quality Assurance Practices Students’ Performance Evaluation Scale (QAPSPES) with split-half reliability estimates ranging from .86–.92, was used as the instruments for data collection. Multiple (...) regression and Confirmatory Factor Analyses (CFA) were used for the analysis of data, model building, and testing of the hypotheses at .05 alpha level. Findings showed a significant composite and relative influence (F=48.19, P<.05) of school management, staff, and students’ quality assurance practices on students’ performance evaluation. The results also indicated that there were positive and significant covariances between the four variables of this study, with the CFI, RMSEA, TLI, and SRMR values indicating a good model fit. It was recommended, based on the findings of this study that, each school should organize quality assurance orientation campaigns for new students and set up quality assurance committees at the school, faculty and departmental levels for optimal performance in schools. (shrink)

According to regulatory fit theory (Higgins, 2000), when people make decisions with strategies that sustain their regulatory focus orientation, they “feel right” about what they are doing, and this “feeling-right” experience then transfers to subsequent choices, decisions, and evaluations. The present research was designed to link the concept of regulatory fit to functional accounts of counterfactual thinking. In the present study, participants generated counterfactuals about their anagram performance, after which persistence on a second set of anagrams was measured. Under (...) promotion framing (i.e., find 90% or more of all the possible words) upward counterfactual thinking in general elicited larger increases in persistence than did downward counterfactual thinking in general, but under prevention framing (i.e., avoid failing to find 90% or more of all the possible words) upward evaluation (comparing reality to a better reality) elicited larger increases in persistence than did upward reflection (focusing on a better reality), whereas downward reflection (focusing on a worse reality) elicited larger increases in persistence than did downward evaluation (comparing reality to a worse reality). In all, the present findings suggest that the generation of counterfactuals enhances the likelihood that individuals will engage in courses of action that fit with their regulatory focus orientation. (shrink)

Abstract: This study aimed to identify the reality of using a balanced scorecard in business incubators in Gaza Strip, and the study relied on the descriptive analytical approach, and the study population consisted of all employees working in business incubators in Gaza Strip in addition to experts and consultants in incubators, where their total number reached (62) Individually, the researchers used the questionnaire as a main tool for collecting data through the comprehensive survey method, where (55) questionnaires were retrieved with (...) a recovery rate (88.7%.). The results of the study showed that there is a high approval of all dimensions of the balanced scorecard, as it obtained a relative weight (81.44%), and the order of its dimensions came as follows, first came the incubation dimension with a relative weight (84.89%), followed by the learning dimension, which got a relative weight (82.50%), and in the third place came the entrepreneur dimension with a relative weight (80.66%), and in the last place was the societal development dimension with a relative weight (78.18%). The study came out with several recommendations, the most important of which is that business incubators seek to adopt the application of the balanced scorecard as a method for managing it and a tool for measuring and evaluating its performance, and the need to periodically evaluate its performance, and the need to hold training courses for workers in incubators to introduce them to the balanced scorecard and how to apply it. (shrink)

We investigate the application of Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) networks, and a hybrid CNN-LSTM model for forecasting air pollution levels based on historical data. Our experimental setup uses real-world air quality datasets from multiple regions, containing measurements of pollutants like PM2.5, PM10, CO, NO2, and SO2, alongside meteorological data such as temperature, humidity, and wind speed. The models are trained, validated, and tested using a split dataset, and their accuracy is evaluated using performance metrics like (...) Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and R-squared. (shrink)

Abstract: This paper examined the use of educational management information system in distance learning education University of Lagos. Descriptive Survey research method was adopted for the purpose of this study. A total of one hundred and twenty students participated and returned questionnaire were found useful for analysis. The test of hypothesis was done using simple percentage. This article revealed that EMIS will help to properly measure and evaluate the performance of distance learning education University of Lagos, that EMIS is (...) useful for effective planning of distance learning education University of Lagos and that there is a significant relationship between EMIS and quality Distance education delivery in University of Lagos. There is need for reengineering and integration of Education management information system with learning management system software in University of Lagos. (shrink)

The state of national economies development varies and is characterized by many indicators. Economically developed countries are known as doubtless leaders that are in progress and form political stability, social and economics standards, scientific and technical progress and determine future priorities. It is worth mentioning that the progressive development of national economies in conditions of globalization can take place only in case of the increase of their intellectualization level, through saturation of people`s life, economic relations and production by brain activity, (...) knowledge, creativity, innovation, culture, ethical considering of the historical heritage. The main aim of the research is national economies intellectualization evaluating in globalization conditions. In order to gain this aim, the following tasks were defined: to identify existing indices of the national economies intellectualization level evaluation, develop the authors’ methodological approach to the national economies intellectualization level, determine the areas of measurement results application. While conducting the research, systematic approach, the methods of analysis, synthesis, grouping, abstracting, generalization, imaginary experiment and grounding were used. In the modern world, there are a large number of indicators which characterize differences in intellectual state of the national economy. When comparing the state of national economies intellectualization, the problems arise with different number of countries, duplication of indicators, disproportionate number of the components of indicators, various years of publication, etc. Therefore, to ensure comparability, we choose four general indicators – the index of human development, the global innovation index, the global competitiveness index and the knowledge economy index. Using these indices, we do the research and determine the state of national economies intellectualization in the world economy. According to the calculated results, as of 2013, we have divided 190 national economies by level of intellectualization into five groups: countries with the highest (30 countries), high (30 (countries), low (30 countries), the lowest (35 countries) and the countries with uncertain state of intellectualization (65 countries). The leaders in the state of intellectualization are Switzerland, Sweden, The Netherlands, Finland and the USA. The countries with the highest level of intellectualization serve as an example to all other countries of the world. These countries are characterized by developed market economy; a dominant position in the international economy, which allows actively engaging own and imported resources in the economic turnover; the shift of the center of gravity of economic activity into the services sector and the dominance of service economy; the greatest exhaustion of sources and factors of industrial development; advanced post-industrial development. The economic policy of the first group of countries has a decisive influence on the state and dynamics of the global economy, defining the main directions of its scientific and technological development and structural adjustment. The average index of the national economy intellectualization (AINEI), calculated by the authors, shows the place of each country in the world community as to their intellectual capital. Considering the continued deployment of R&D progress, the growing role of high-tech production and the complexity of social and economic relations, AINEI can serve as a reliable indicator of the macroeconomic environment intellectualization state. Therefore, the following organizations, bodies and individuals can use the comparative results of this study: the international organizations while developing international economic development programs; the state authorities of the countries in foreign and domestic policy forming; companies that create innovative and investment policy; migrants, tourists and persons who perform professional and transit activity for the formation of human potential and capital; scientists and teachers who develop mechanisms of intellectualization. (shrink)

Holding students to high standards and assessing, measuring and evaluating their learning with challenging, authentic problems in the midterm and final exams is the goal of the professors who teach core signal processing concepts. However, the heavy reliance of these subjects on mathematics makes it difficult for students to genuinely grasp the concepts and relate to a conceptual framework. Specifically, analyzing the signals and the functionality of systems in Fourier domain; separating the system level analysis from signal level (...) analysis; and understanding how they are related in time domain and frequency domain are among the most challenging concepts. Students’ lower grades observed over past years in the introductory signal processing course exposed a potential disconnect between the actual level of learning and the high expectations set by the professors. In this paper, we present the active learning techniques that we implemented in one of the summer session offerings of this course in our department. The research explored Peer Instruction, pre-class reading quizzes and post-lecture quizzes. In addition to the mid and end of the quarter survey results, the comparison analysis of the grades students achieved in the active learning integrated course in the second summer session and the standard course offered in first summer session is discussed. According to our results, the developed techniques helped students in the active classroom perform significantly better than their peers participating in standard lectures when tested by challenging questions in their exams. (shrink)

In this article we raise a problem, and we offer two practical contributions to its solution. The problem is that academic communities interested in digital publishing do not have adequate tools to help them in choosing a publishing model that suits their needs. We believe that excessive focus on Open Access (OA) has obscured some important issues; moreover exclusive emphasis on increasing openness has contributed to an agenda and to policies that show clear practical shortcomings. We believe that academic communities (...) have different needs and priorities; therefore there cannot be a ranking of publishing models that fits all and is based on only one criterion or value. We thus believe that two things are needed. First, communities need help in working out what they want from their digital publications. Their needs and desiderata should be made explicit and their relative importance estimated. This exercise leads to the formulation and ordering of their objectives. Second, available publishing models should be assessed on the basis of these objectives, so as to choose one that satisfies them well. Accordingly we have developed a framework that assists communities in going through these two steps. The framework can be used informally, as a guide to the collection and systematic organization of the information needed to make an informed choice of publishing model. In order to do so it maps the values that should be weighed and the technical features that embed them. Building on our framework, we also offer a method to produce ordinal and cardinal scores of publishing models. When these techniques are applied the framework becomes a formal decision–making tool. Finally, the framework stresses that, while the OA movement tackles important issues in digital publishing, it cannot incorporate the whole range of values and interests that are at the core of academic publishing. Therefore the framework suggests a broader agenda that is relevant in making better policy decisions around academic publishing and OA. (shrink)

Abstract : A measurement result is never absolutely accurate: it is affected by an unknown “measurement error” which characterizes the discrepancy between the obtained value and the “true value” of the quantity intended to be measured. As a consequence, to be acceptable a measurement result cannot take the form of a unique numerical value, but has to be accompanied by an indication of its “measurement uncertainty”, which enunciates a state of doubt. What, though, is the value of measurement uncertainty? What (...) is its numerical value: how does one calculate it? What is its epistemic value: how one should interpret a measurement result? Firstly, we describe the statistical models that scientists make use of in contemporary metrology to perform an uncertainty analysis, and we show that the issue of the interpretation of probabilities is vigorously debated. This debate brings out epistemological issues about the nature and function of physical measurements, metrologists insisting in particular on the subjective aspect of measurement. Secondly, we examine the philosophical elaboration of metrologists in their technical works, where they criticize the use of the notion of “true value” of a physical quantity. We then challenge this elaboration and defend such a notion. The third part turns to a specific use of measurement uncertainty in order to address our thematic from the perspective of precision physics, considering the activity of the adjustments of physical constants. In the course of this activity, physicists have developed a dynamic conception of the accuracy of their measurement results, oriented towards a future progress of knowledge, and underlining the epistemic virtues of a never-ending process of identification and correction of measurement errors. (shrink)

We evaluate the asymptotic performance of boundedly-rational strategies in multi-armed bandit problems, where performance is measured in terms of the tendency (in the limit) to play optimal actions in either (i) isolation or (ii) networks of other learners. We show that, for many strategies commonly employed in economics, psychology, and machine learning, performance in isolation and performance in networks are essentially unrelated. Our results suggest that the appropriateness of various, common boundedly-rational strategies depends crucially upon the (...) social context (if any) in which such strategies are to be employed. (shrink)

The data collected by these sensors are transmitted to a centralized system where optimization algorithms, such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO), and Simulated Annealing (SA), are applied to optimize sensor placement, data transmission, and processing efficiency. This ensures accurate, real-time pollution monitoring and data analysis, providing actionable insights for policymakers, environmental agencies, and the general public. The system's performance is evaluated through simulations and real-world experiments, demonstrating its capability to deliver reliable and timely pollution data. Future (...) work will explore the integration of machine learning techniques for predictive analytics and the expansion of the sensor network for broader coverage. (shrink)

We advance an account that grounds cognition, specifically decision-making, in an activity all organisms as autonomous systems must perform to keep themselves viable—controlling their production mechanisms. Production mechanisms, as we characterize them, perform activities such as procuring resources from their environment, putting these resources to use to construct and repair the organism's body and moving through the environment. Given the variable nature of the environment and the continual degradation of the organism, these production mechanisms must be regulated by control mechanisms (...) that select when a production is required and how it should be carried out. To operate on production mechanisms, control mechanisms need to procure information through measurement processes and evaluate possible actions. They are making decisions. In all organisms, these decisions are made by multiple different control mechanisms that are organized not hierarchically but heterarchically. In many cases, they employ internal models of features of the environment with which the organism must deal. Cognition, in the form of decision-making, is thus fundamental to living systems which must control their production mechanisms. (shrink)

This paper presents the design and development of intelligent tutoring system for teaching Oracle. The Oracle Intelligent Tutoring System (OITS) examined the power of a new methodology to supporting students in Oracle programming. The system presents the topic of Introduction to Oracle with automatically generated problems for the students to solve. The system is dynamically adapted at run time to the student’s individual progress. An initial evaluation study was done to investigate the effect of using the intelligent tutoring system on (...) the performance of students. (shrink)

Data preparation, feature engineering, model training, and performance evaluation are all part of the study methodology. To ensure reliable and broadly applicable models, we utilize optimization techniques like Grid Search and Genetic Algorithms to precisely adjust model parameters. Features including age, blood pressure, cholesterol levels, and lifestyle choices are employed as inputs for the machine learning models in the dataset, which consists of patient medical information. The predictive capacity of the model is evaluated using evaluation measures, such as accuracy, (...) precision, recall, F1-score, and the area under the ROC curve (AUC-ROC). Our findings show that improved machine learning models perform better than conventional methods, offering trustworthy forecasts that can help medical practitioners with early diagnosis and individualized treatment planning. In order to achieve even higher predicted accuracy, the study's conclusion discusses the significance of its findings for clinical practice as well as future improvements that might be made, like adding wearable device data in real-time or investigating deep learning techniques. (shrink)

Measurement of ability or inability to perform activities of daily living is important to in describing the functional status of a person and then implementing an intervention. Evaluations of ADLs are mainly used in nursing and in rehabilitation of people with disabilities and the elderly. Measuring ability to perform ADLs is crucial for the management of healthcare in aging societies. It is important to understand differences between categories of ADLs and challenges in their evaluation that are connected to the (...) roles of family members. (shrink)

The exponential growth of cloud storage has necessitated advanced security measures to protect sensitive data from unauthorized access. Traditional encryption methods provide a layer of security, but they often lack the robustness needed to address emerging threats. This paper introduces an optimized framework for secure cloud storage that integrates data encryption, decryption, and dispersion using cutting-edge optimization techniques. The proposed model enhances data security by first encrypting the data, then dispersing it across multiple cloud servers, ensuring that no single server (...) holds the complete dataset. Decryption occurs only when the dispersed data fragments are reassembled, which adds an additional layer of security. We also explore various optimization algorithms to improve the efficiency of encryption and dispersion processes, thereby reducing computational overhead while maintaining high security. The implementation of this framework is evaluated on multiple cloud platforms, demonstrating its effectiveness in safeguarding data with minimal performance impact. Future enhancements may include integrating machine learning algorithms to predict and adapt to new security threats in real time, further solidifying the reliability of cloud storage solutions. (shrink)

We investigate the application of Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) networks, and a hybrid CNN-LSTM model for forecasting air pollution levels based on historical data. Our experimental setup uses real-world air quality datasets from multiple regions, containing measurements of pollutants like PM2.5, PM10, CO, NO2, and SO2, alongside meteorological data such as temperature, humidity, and wind speed. The models are trained, validated, and tested using a split dataset, and their accuracy is evaluated using performance metrics like (...) Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and R-squared. (shrink)

This paper presents the design and development of intelligent tutoring system for teaching Oracle. The Oracle Intelligent Tutoring System (OITS) examined the power of a new methodology to supporting students in Oracle programming. The system presents the topic of Introduction to Oracle with automatically generated problems for the students to solve. The system is dynamically adapted at run time to the student’s individual progress. An initial evaluation study was done to investigate the effect of using the intelligent tutoring system on (...) the performance of students. (shrink)

As the world grapples with the urgent need for sustainable development, the transition towards green energy stands as a critical imperative. Financing this transition poses significant challenges, requiring innovative approaches that align financial objectives with environmental sustainability goals. This review presents a conceptual framework for leveraging data-driven techniques in sustainable finance to facilitate the transition towards green energy. The proposed framework integrates principles of sustainable finance with advanced data analytics to enhance decision-making processes across the financial ecosystem. At its core, (...) the framework emphasizes the importance of harnessing vast datasets related to energy production, consumption, environmental impact, and financial performance. By leveraging machine learning algorithms and predictive modeling techniques, financial stakeholders can gain deeper insights into the risks and opportunities associated with green energy investments. Key components of the framework include data collection and aggregation, risk assessment, impact measurement, and investment optimization. Data sources range from traditional financial indicators to environmental metrics, social impact assessments, and geopolitical factors. Through comprehensive data analysis, financial institutions can assess the long-term viability and sustainability of green energy projects, while also evaluating potential social and environmental impacts. Risk assessment methodologies within the framework consider both financial risks, such as market volatility and regulatory uncertainty, and non-financial risks, such as climate change impacts and community resilience. By integrating these factors into risk models, investors can make more informed decisions that mitigate potential losses and maximize returns. Furthermore, impact measurement tools enable stakeholders to quantify the environmental and social benefits of green energy investments. By tracking metrics such as carbon emissions reduction, energy efficiency improvements, and job creation, investors can assess the contribution of their portfolios towards broader sustainability objectives. Finally, the framework incorporates investment optimization strategies that align financial goals with environmental objectives. Through portfolio diversification, asset allocation, and innovative financial instruments such as green bonds and impact investing funds, financial institutions can allocate capital more efficiently towards green energy projects. The conceptual framework presented herein offers a systematic approach to integrating data-driven methodologies into sustainable finance practices. By leveraging advanced analytics and comprehensive datasets, financial stakeholders can drive the transition towards green energy while simultaneously achieving financial returns and positive environmental outcomes. (shrink)

In a rigorous systematic review, Dukhanin and colleagues categorize metrics and evaluative tools of the engagement of patient, public, consumer, and community in decision-making in healthcare institutions and systems. The review itself is ably done and the categorizations lead to a useful understanding of the necessary elements of engagement, and a suite of measures relevant to implementing engagement in systems. Nevertheless, the question remains whether the engagement of patient representatives in institutional or systemic deliberations will lead to improved clinical outcomes (...) or increased engagement of individual patients themselves in care. Attention to the conceptual foundations of patient engagement would help make this systematic review relevant to the clinical care of patients. (shrink)

Modern health care relies extensively on the use of technologies for assessing and treating patients, so it is important to be certain that health care technologies perform their professed functions in an effective and safe manner. Philosophers of technology have developed methods to assign and evaluate the functions of technological products, the major elements of which are described in the ICE theory. This paper questions whether the standard of evidence advocated by the ICE theory is adequate for ascribing and assessing (...) technologies employed in health care. The paper proposes that the general problem with the standard of evidence embodied in the ICE theory is too permissive for assessing medical technologies, in that it does not take into account the relative benefit and harm of medical technologies in ensuring safe functional performance in patients. The paper illustrates how evidence-based medicine has demonstrated the value of clinical research methods, including observational studies, randomized and non-randomized clinical trials, and formal techniques, such as meta-analysis, to measure therapeutic effectiveness. I argue, therefore, that evidence from clinical research studies should take precedence over the testimonial evidence and other types of non-clinical evidence, in providing justification for health technologies. (shrink)

We explored the relationship between 24 character strengths measured by the Global Assessment of Character Strengths (GACS), which was revised from the original VIA instrument, and moral functioning comprising postconventional moral reasoning, empathic traits and moral identity. Bayesian Model Averaging (BMA) was employed to explore the best models, which were more parsimonious than full regression models estimated through frequentist regression, predicting moral functioning indicators with the 24 candidate character strength predictors. Our exploration was conducted with a dataset collected from 666 (...) college students at a public university in the Southern United States. Results showed that character strengths as measured by GACS partially predicted relevant moral functioning indicators. Performance evaluation results demonstrated that the best models identified by BMA performed significantly better than the full models estimated by frequentist regression in terms of AIC, BIC, and cross-validation accuracy. We discuss theoretical and methodological implications of the findings for future studies addressing character strengths and moral functioning. (shrink)

The purpose of this paper is to empirically explore how the balance use of performance measurement systems mediate the effects of intellectual capital dimensions including human, organizational and social capital on firm performance. The data were collected from a survey of 448 Vietnamese managers of Information and Communication Technology Sector and proposed hypotheses were tested by using partial least squares regression and a structural modeling technique which is appropriate for highly complex predictive models. Findings from hypotheses tests indicated (...) that firms with higher level of intellectual capital dimensions place a premium on the balance use of performance measurement systems in a diagnostic and interactive style. Furthermore, the result also provides some evidences that Intellectual capital dimensions effect indirectly on firm performance through performance measurement systems. (shrink)

This paper aims to measure the quality of all Romanian cities’ websites in 2019 and 2022, before and after the disruptive event of COVID-19. Since the official websites are the core instrument of e-governance, the changes in the quality of Romanian cities’ websites reflect the changes in the development of urban e-governance in Romania. The COVID-19 lockdowns and contact restrictions and the moving of most activities into the online environment had the potential to impact the performance of Romanian cities’ (...) websites significantly and catalyze the progress of local e-governance. The quality of Romanian cities’ official websites was measured using an adapted survey instrument proposed by Holzer and Kim and Manoharan, Melitski, and Holzer. The tool covers five critical criteria of website quality or performance: personal data security, usability, content, services, and citizen participation. The research results may seem contrary to expectations: the improvements of websites have been incremental rather than transformational. Although our research provides only a case study, we may assert that the reform of traditional administration remains a step-by-step process. Our study’s main contribution consists in showing that the progress of e-governance is an incremental process even in a situation of emergency that requires the moving of most activities into the online environment. (shrink)

The study aimed to identify the relationship between correcting the deviations in the measurement of performance and achieving the objectives of control and the performance of the job at the Islamic University in the Gaza Strip. To achieve the objectives of the research, the researchers used the descriptive analytical approach to collect information. The questionnaire consisted of (20) statements distributed to three categories of employees of the Islamic University (senior management, faculty members, their assistants and members of the (...) administrative board). A random sample of 314 employees was selected and 276 responses were retrieved with a recovery rate of 88.1%. The Statistical Analysis Program (SPSS) was used to enter, process, and analyze the data. The results of the study showed a positive relationship between correcting deviations in performance measurement and achieving the control objectives represented by the functional performance in the Islamic University from the point of view of the members (senior management, faculty and their assistants, and the administrative board), where the relative weight of all the paragraphs was (74.25%). The study recommended the need to ensure that the actual performance of the planned performance is matched and decisions are taken to correct the serious deviations and take the necessary measures in terms of retraining and change in regulations, wages and bonuses and punishment of the culprit, neglect and negligence by mistake. (shrink)

This study assesses the student learning styles and academic performance in modular learning among Grade IV, V, and VI learners of Hindang Central School. This considered the learning styles and academic performance of the respondents in modular learning. A total of 252 learners from Hindang Central School participated as respondents in the evaluative method of research that consists of two parts questionnaires. This study used a modified survey questionnaire from the University of California at Merced, Student Advising and (...) Learning Center to gather the data of the respondents. As to the significance of learning styles and academic performances of the respondents in modular learning, Analysis of Variance (ANOVA) was used to analyze the significant differences. The study's findings indicated that auditory learning was the respondents' preferred method of learning. This learning style is best through speaking or listening. Moreover, auditory learners prevail dominantly amidst the health crisis faced. The respondents' academic achievement in the academic year 2020–2021 was also revealed to be Very Satisfactory. According to the Analysis of Variance (ANOVA), there was no apparent connection between learning preferences and academic achievement in the new typical education. Therefore, there was no relation or correlation between the two variables. (shrink)

Some, if not most, philosophy program admissions committee members assume that they can determine that one applicant will likely manifest a higher degree of philosophical skill than another applicant on the basis of differences between their materials. I challenge this assumption by explaining how applicants’ materials in significant measure reflect the racially unjust environment in which they manifest their philosophical skill. I explain how applicants’ racial-group membership in similar measure determines what these materials consist in.

This study aims to investigate the relationship between job burnout and employee performance in the feed industry during the ASF outbreak. Further, the researchers employed a descriptive-correlational research design in order to analyze the acquired data and produce pertinent findings. Thus, the researchers gathered data from one hundred two (102) feed industry employees. The Maslach Burnout Inventory (MBI) and Individual Work Performance Questionnaire (IWPQ) were employed to ascertain the extent of job burnout experienced by the respondents and evaluate (...) employee performance, respectively. Based on the statistical analysis, there is a significant relationship between job burnout and employee performance. Moreover, the study's findings were thoroughly analyzed and discussed. (shrink)