Results for 'Terminal Growth Rate Model'

983 found
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  1. Application of combined modeling methods for estimating and forecasting the business value of international corporations.Igor Kryvovyazyuk, Serhii Smerichevskyi, Olha Myshko, Iryna Oleksandrenko, Viktoriia Dorosh & Tetiana Visyna - 2020 - International Journal of Management 11 (7):1000-1007.
    The purpose of the research is to study the feasibility of using the combined modeling method in evaluation of business value. Modern approaches and methods of evaluating business value and the possibilities of combining them are explored. The peculiarities of the methodology of evaluating the business value by methods of Gordon Growth Model and Exit Multiple are disclosed. During the research the fair value of Luxoft company and the reasons for its deviation from the cost of sale are (...)
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  2. Sensitive analysis of company market capitalization to its value changing calculated using DCF modeling and comparable companies valuation method.Igor Kryvovyazyuk & Oleksandr Burban - 2022 - Економічний Простір 179:55-61.
    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 (...)
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  3. Will the Explosive Growth of China Continue?Leonid Grinin, Sergey Tsirel & Andrey Korotayev - 2015 - Technological Forecasting and Social Change 95:394-308.
    The role of China in the world economy is constantly growing. In particular we observe that it plays more and more important role in the support of theworld economic growth (as well as high prices of certain very important commodities). In the meantime the perspectives of the Chinese economy (as well as possible fates of the Chinese society) remain unclear, whereas respective forecasts look rather contradictory. That is why the search for new aspects and modes of analysis of possible (...)
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  4. Ecological Models for Gene Therapy. I. Models for Intraorganismal Ecology.Arnaud Pocheville & Maël Montévil - 2014 - Biological Theory 9 (4):401-413.
    In this paper, we discuss the perspective of intra-organismal ecology by investigating a family of ecological models. We consider two types of models. First order models describe the population dynamics as being directly affected by ecological factors (here understood as nutrients, space, etc). They might be thought of as analogous to Aristotelian physics. Second order models describe the population dynamics as being indirectly affected, the ecological factors now affecting the derivative of the growth rate (that is, the population (...)
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  5. Neonatal Diagnostics: Toward Dynamic Growth Charts of Neuromotor Control.Elizabeth B. Torres, Beth Smith, Sejal Mistry, Maria Brincker & Caroline Whyatt - 2016 - Frontiers in Pediatrics 4:121.
    The current rise of neurodevelopmental disorders poses a critical need to detect risk early in order to rapidly intervene. One of the tools pediatricians use to track development is the standard growth chart. The growth charts are somewhat limited in predicting possible neurodevelopmental issues. They rely on linear models and assumptions of normality for physical growth data – obscuring key statistical information about possible neurodevelopmental risk in growth data that actually has accelerated, non-linear rates-of-change and variability (...)
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  6.  65
    Overpopulation, Continuous Economic Growth, and the Unfeasibility of Supply-Side Economics.Angelito Malicse - manuscript
    Overpopulation, Continuous Economic Growth, and the Unfeasibility of Supply-Side Economics -/- The concepts of overpopulation, continuous economic growth, and supply-side economics have been at the forefront of societal and economic discussions for decades. While these ideas may seem appealing in the short term, their long-term sustainability is questionable and ultimately self-destructive. Overpopulation and continuous economic growth both strain natural resources, disrupt ecological balances, and create unsustainable pressures on society. Furthermore, the idea that supply-side economics—the notion that reducing (...)
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  7.  37
    Sustainable Economic Growth: Increasing GDP Without Excessive Population Growth.Angelito Malicse - manuscript
    Sustainable Economic Growth: Increasing GDP Without Excessive Population Growth -/- Economic growth has traditionally been associated with population growth, as more people typically mean a larger workforce and greater demand for goods and services. However, relying solely on population expansion to increase Gross Domestic Product (GDP) is not a sustainable long-term strategy. Overpopulation can lead to resource depletion, environmental degradation, and strained public services. Fortunately, there are ways to boost economic growth without excessive population increases (...)
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  8.  29
    The Sustainable Economic Model Based on the Universal Law of Balance.Angelito Malicse - manuscript
    The Sustainable Economic Model Based on the Universal Law of Balance -/- By Angelito Malicse -/- This model builds on the Universal Law of Balance, integrating sustainable population management, economic stability, technological progress, and environmental harmony. It presents a framework for a balanced civilization, where society no longer depends on endless population growth to sustain economic systems. Instead, human progress is guided by equilibrium between resources, technology, and well-being. -/- I. THE UNIVERSAL LAW OF BALANCE AS A (...)
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  9. The impact of external debt, population growth and inflation on unemployment: Evidence from developing countries.Shahzada Rahim Abbas Shahzada Rahim Abbas - 2024 - Economics Business and Organization Research 6 (1):1-14.
    This paper investigates the relationship between external debt, population growth, and inflation with unemployment in 26 developing countries. The study uses data from 2010 to 2021 and panel data models (fixed, random, and pooled) to analyze the relationship between the variables. Results show that external debt has a significant and positive impact on unemployment across all three models. Similarly, GDP growth has a reducing and significant impact on the unemployment rate, which shows high employment elasticity of (...) in the case of these 26 developing countries. Another important finding of the study is that foreign direct investment, inflation, and population growth have a non-significant impact on unemployment. The paper suggests robust macroeconomic policies and effective debt management in these developing countries to address the issue of unemployment. (shrink)
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  10.  27
    The Resonance Economy: A CODES-Based Framework for Self-Stabilizing Markets, Nonlinear Growth, and the Phase-Locked Dynamics of Wealth Distribution.Devin Bostick - manuscript
    Abstract: -/- This paper introduces a resonance-driven economic model that fundamentally redefines market behavior by replacing traditional equilibrium-based frameworks with dynamic phase-locking principles derived from CODES (Chirality of Dynamic Emergent Systems). While neoclassical, Keynesian, and game-theoretic models treat economic activity as a function of supply and demand equilibria—subject to inefficiencies, speculation, and boom-bust cycles—this paper proposes that markets are structured by resonance fields rather than stochastic fluctuations. -/- By applying prime-phase economic dynamics, we demonstrate that capital flows, debt cycles, (...)
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  11.  47
    Why Capitalism Cannot Create More Successful Entrepreneurs to Balance Stable Job Creation Amid Increasing Population Growth.Angelito Malicse - manuscript
    Why Capitalism Cannot Create More Successful Entrepreneurs to Balance Stable Job Creation Amid Increasing Population Growth -/- Introduction -/- Capitalism is often praised for fostering entrepreneurship, economic growth, and job creation. However, its inherent flaws—such as wealth concentration, monopolization, financial barriers, and wage suppression—prevent it from producing enough successful entrepreneurs to balance job creation with increasing population growth. As the global population expands, capitalism alone fails to generate sufficient employment opportunities, leading to economic instability, poverty, and inequality. (...)
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  12. Effects of Economic Uncertainty on Mental Health in the COVID-19 Pandemic Context: Social Identity Disturbance, Job Uncertainty and Psychological Well-Being Model.Danijela Godinić & B. Obrenovic - 2020 - International Journal of Innovation and Economic Development 6 (1):61-74.
    Psychological well-being is a major global concern receiving more scholarly attention following the 2008 Great Recession, and it becomes even more relevant in the context of COVID-19 outbreak. In this study, we investigated the impact of economic uncertainty resulting from natural disasters, epidemics, and financial crisis on individuals' mental health. As unemployment rate exponentially increases, individuals are faced with health and economic concerns. Not all society members are affected to the same extent, and marginalized groups, such as those suffering (...)
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  13. Measuring Intelligence and Growth Rate: Variations on Hibbard's Intelligence Measure.Samuel Alexander & Bill Hibbard - 2021 - Journal of Artificial General Intelligence 12 (1):1-25.
    In 2011, Hibbard suggested an intelligence measure for agents who compete in an adversarial sequence prediction game. We argue that Hibbard’s idea should actually be considered as two separate ideas: first, that the intelligence of such agents can be measured based on the growth rates of the runtimes of the competitors that they defeat; and second, one specific (somewhat arbitrary) method for measuring said growth rates. Whereas Hibbard’s intelligence measure is based on the latter growth-rate-measuring method, (...)
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  14. Political and Economic Transitions in Sub-Saharan Africa.Chrysanthos Vlamis - 2023 - Dissertation, University of the Peloponnese
    The thesis examines political and economic transitions in Sub-Saharan Africa (SSA) and particularly in post-communist Ethiopia and Angola between 1989-2019 by applying the interpretative scheme of transition theory. The research question investigated how the economic liberalization of centrally planned political systems affects their political liberalization and vice versa. The main hypothesis attempted to answer whether transition theory can apply as an interpretative model in order to explain post-communist developments in the SSA context. Characteristic noteworthy country examples, which have experienced (...)
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  15. Addressing Social Misattributions of Large Language Models: An HCXAI-based Approach.Andrea Ferrario, Alberto Termine & Alessandro Facchini - forthcoming - Available at Https://Arxiv.Org/Abs/2403.17873 (Extended Version of the Manuscript Accepted for the Acm Chi Workshop on Human-Centered Explainable Ai 2024 (Hcxai24).
    Human-centered explainable AI (HCXAI) advocates for the integration of social aspects into AI explanations. Central to the HCXAI discourse is the Social Transparency (ST) framework, which aims to make the socio-organizational context of AI systems accessible to their users. In this work, we suggest extending the ST framework to address the risks of social misattributions in Large Language Models (LLMs), particularly in sensitive areas like mental health. In fact LLMs, which are remarkably capable of simulating roles and personas, may lead (...)
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  16.  41
    The Ideal Population Growth Rate for Sustainable Development: A Global Perspective.Angelito Malicse - manuscript
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  17. Managing education for sustainable national income and economic growth rate in Nigeria.Odim Offem Otu, Solomon Agwayang Aniah, Judith Nonye Agunwa & Valentine Joseph Owan - 2017 - International Journal of Continuing Education and Development Studies (IJCEDS) 4 (1):145-156.
    This paper examined managing and improving education for sustaining national income and economic growth rate in Nigeria. It attempts to explore the ways in which education can be effectively managed to lead to an improvement in national income and economic growth rate in Nigeria. Concepts relating to the topic were clearly defined. The meaning of national income, economic growth, and economic growth rate was explained. The importance and determinants of national income were identified (...)
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  18.  83
    Entropy in Physics using my Universal Formula.Angelito Malicse - manuscript
    -/- 1. Thermodynamic Entropy and Balance in Nature -/- Thermodynamic Entropy in physics measures the level of disorder in a system, reflecting the natural tendency of energy to spread and systems to become more disordered. -/- Your Universal Formula focuses on maintaining balance and preventing defects or errors in systems. -/- Integration: -/- Increasing thermodynamic entropy (e.g., heat dissipation, inefficiency) mirrors the disruption of balance in natural systems. -/- Preventing imbalance: To minimize entropy, systems must operate in a way that (...)
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  19.  63
    Transforming E-Commerce with Pragmatic Advertising Using Machine Learning Techniques.Sankara Reddy Thamma Sankara Reddy Thamma - 2025 - International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11 (1):394-404.
    Today e-commerce has had tremendous growth in the past years primarily due to changes in technology and customer’s buying behavior. One of the big shifts in the process has been the use of ML in advertising which has the capability to transform the marketing domain together with consumer interactions. This paper discusses the viability of using machine learning for designing realistic models of advertising to increase effectiveness of target and personalized advertising, as well as conversion rates in e-commerce. Several (...)
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  20. Know Your Game, From in-Real Life Experts to Video Game Experts: Discriminating in-Real Life Experts From Non-Experts Using Blinks and EAR-Derived Features.Gianluca Guglielmo, Michal Klincewicz, Elisabeth Huis in'T. Veld & Pieter Spronck - 2024 - IEEE Transactions on Games 1:1-12.
    Serious games are an effective method of reproducing aspects of the complex interplay between environments and stakeholders in business situations. In the game we describe here, The Sustainable Port, players experience what it is like to make decisions in such a complex environment. Their aim in the game is to grow the Port of Rotterdam while keeping economic growth in balance with sustainability goals. In this study, we assessed whether experienced Port of Rotterdam employees (PoR employees) show different psychophysiological (...)
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  21. External debts and the financing of education in Nigeria from 1988 – 2018: Implication for effective educational management.Samuel Okpon Ekaette, Valentine Joseph Owan & D. I. Agbo - 2019 - Journal of Educational Realities (JERA) 9 (1):1-14.
    This study assessed external debts and the financing of education in Nigeria using time series data obtained from World Bank, and CBN Statistical Bulletin covering a period of 31 years from 1988 -2018. The model of the study was derived, while the data collected were analysed using the Ordinary Least Squares. Diagnostic tests such as Augmented Dickey- Fuller (ADF) unit root test, Johansen co-integration, Vector Error Correction (VEC) techniques of estimation, and Granger Causality tests were all performed. Findings revealed (...)
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  22. Cosmological Black Holes and the Direction of Time.Gustavo E. Romero, Federico G. López Armengol & Daniela Pérez - 2018 - Foundations of Science 23 (2):415-426.
    Macroscopic irreversible processes emerge from fundamental physical laws of reversible character. The source of the local irreversibility seems to be not in the laws themselves but in the initial and boundary conditions of the equations that represent the laws. In this work we propose that the screening of currents by black hole event horizons determines, locally, a preferred direction for the flux of electromagnetic energy. We study the growth of black hole event horizons due to the cosmological expansion and (...)
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  23.  51
    The Future of Human Reproduction and Family Structure.Angelito Malicse - manuscript
    The Future of Human Reproduction and Family Structure -/- Introduction -/- The future of human reproduction and family structure is set to undergo profound transformations due to advancements in science, technology, and shifting societal values. Breakthroughs in artificial reproduction, gene editing, AI-assisted parenting, and new family models are poised to redefine what it means to conceive, raise children, and form families. As these changes unfold, they will challenge traditional concepts of marriage, parenthood, and biological reproduction. This essay explores the potential (...)
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  24.  46
    How AI Can Implement the Universal Formula in Education and Leadership Training.Angelito Malicse - manuscript
    How AI Can Implement the Universal Formula in Education and Leadership Training -/- If AI is programmed based on your universal formula, it can serve as a powerful tool for optimizing human intelligence, education, and leadership decision-making. Here’s how AI can be integrated into your vision: -/- 1. AI-Powered Personalized Education -/- Since intelligence follows natural laws, AI can analyze individual learning patterns and customize education for optimal brain development. -/- Adaptive Learning Systems – AI can adjust lessons in real (...)
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  25.  40
    The Importance of Urban Planning and Strict Laws on Informal Settlements.Angelito Malicse - manuscript
    The Importance of Urban Planning and Strict Laws on Informal Settlements -/- Introduction -/- Urbanization is a global phenomenon, bringing both opportunities and challenges. Rapid population growth, especially in developing nations, has led to the rise of informal settlements or “squatter areas.” These settlements often lack proper infrastructure, sanitation, and legal recognition, creating social, economic, and environmental issues. Effective urban planning, combined with strict enforcement of land-use laws and inclusive housing policies, is essential to ensuring sustainable and livable cities. (...)
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  26.  39
    Is Overpopulation Necessary for Capitalism?Angelito Malicse - manuscript
    Is Overpopulation Necessary for Capitalism? -/- Introduction -/- The relationship between population growth and capitalism has been a subject of debate for centuries. Some argue that a large population is necessary for a thriving capitalist system, as it provides labor and fuels consumer demand. Others believe that excessive population growth leads to economic and environmental problems, making it an unsustainable approach. Even in a world with vast natural resources, as it was thousands of years ago, overpopulation is not (...)
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  27.  37
    Why All Mathematical Equations Have an Equal Sign in the Middle (Including Deviations and Applications Across All Fields of Mathematics).Angelito Malicse - manuscript
    Why All Mathematical Equations Have an Equal Sign in the Middle (Including Deviations and Applications Across All Fields of Mathematics) -/- Mathematics is a universal tool used to express relationships, patterns, and structures in both abstract and real-world settings. At the heart of this tool is the equal sign, which symbolizes balance and equivalence between two ideas. The equal sign ensures that what is expressed on one side of an equation corresponds directly to the other. However, in practical applications, perfect (...)
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  28. Contributing Factors to Under-Five Child Malnutrition in Rural Bangladesh.Md Sazedur Rahman, Mohammad Ali & N. A. M. Faisal Ahmed - 2017 - Juniper Publishers Juniper Online Journal of Case Studies 4 (1):1-4.
    Background and objectives: Bangladesh has the highest malnutrition rates in the world. The main objective of this study is to identify and determine the main factors for child malnutrition among children under the age 5 years in rural Bangladesh. -/- Material and methods: This research was conducted in rural areas at Meherpur district in Bangladesh. Convenience sampling method is used and 85 under 5 child information is collected through a structured questionnaire. The information’s of child’s are gathered from the mothers (...)
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  29. Martin Heidegger and Modern Models of the Growth of Knowledge.Rinat Nugayev & Tanzilia Burganova - 2016 - Lambert Academic Publishing.
    Modern generally accepted models of the growth of knowledge are scrutinized. It is maintained that Thomas Kuhn’s growth of knowledge model is grounded preeminently on Heidegger’s epistemology. To justify the tenet the corresponding works of both thinkers are considered. As a result, the one-to-one correspondence between the key propositions of Heideggerian epistemology and the basic tenets of Kuhn’s growth of knowledge model is elicited. The tenets under consideration include the holistic nature of a paradigm, the (...)
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  30.  99
    SEIRS COVID-19 PANDEMIC MODEL WITH SATURATED INCIDENCE RATE CONSIDERING DISEASE INDUCED DEATH AND VACCINE.Kelly Blake - manuscript
    This paper presents a comprehensive analysis of the SEIRS COVID-19 pandemic model with saturated incidence rate. By modifying the existing model and proposing a new simplified version, we investigate the dynamics of disease transmission, including the impact of saturation terms on disease spread. Through stability analysis at disease-free and endemic equilibria, we aim to enhance understanding of the spread of COVID-19 and inform effective control strategies. Drawing on mathematical models and epidemiological insights, this study contributes to the (...)
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  31.  22
    Predicting Default Rates in Credit Scoring Models using Advanced Mining Algorithms.Gopinathan Vimal Raja - 2017 - International Journal of Innovative Research in Science, Engineering and Technology 6 (12):23188-23193.
    Credit scoring is vital for assessing borrowers' creditworthiness and managing risks in financial systems. Traditional credit scoring models often fail to capture non-linear relationships and handle high-dimensional data, leading to less accurate predictions. This research explores the application of advanced data mining algorithms, such as ensemble learning methods, neural networks, and hybrid models, for predicting default rates. Empirical findings reveal significant improvements in predictive accuracy and interpretability. Key takeaways emphasize the importance of effective preprocessing and feature engineering techniques in creating (...)
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  32.  18
    Predicting Default Rates in Credit Scoring Models using Advanced Mining Algorithms.Raja Gopinathan Vimal - 2017 - International Journal of Innovative Research in Science, Engineering and Technology 6 (12):23188-23193.
    Credit scoring is vital for assessing borrowers' creditworthiness and managing risks in financial systems. Traditional credit scoring models often fail to capture non-linear relationships and handle high-dimensional data, leading to less accurate predictions. This research explores the application of advanced data mining algorithms, such as ensemble learning methods, neural networks, and hybrid models, for predicting default rates. Empirical findings reveal significant improvements in predictive accuracy and interpretability. Key takeaways emphasize the importance of effective preprocessing and feature engineering techniques in creating (...)
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  33. Awareness growth and dispositional attitudes.Anna Mahtani - 2020 - Synthese 198 (9):8981-8997.
    Richard Bradley and others endorse Reverse Bayesianism as the way to model awareness growth. I raise a problem for Reverse Bayesianism—at least for the general version that Bradley endorses—and argue that there is no plausible way to restrict the principle that will give us the right results. To get the right results, we need to pay attention to the attitudes that agents have towards propositions of which they are unaware. This raises more general questions about how awareness (...) should be modelled. (shrink)
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  34. Why Student Ratings of Faculty Are Unethical.Daryl Close - forthcoming - Journal of Academic Ethics.
    For decades, student ratings of university faculty have been used by administrators in high stakes faculty employment decisions such as tenure, promotion, contract renewal and reappointment, and merit pay. However, virtually no attention has been paid to the ethical questions of using ratings in employment decisions. Instead, the ratings literature is generally limited to psychometric issues such as whether a given student ratings instrument exhibits the statistical properties of reliability and validity. There is no consensus understanding of teaching effectiveness, the (...)
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  35. Simulation Typology and Termination Risks.Alexey Turchin & Roman Yampolskiy - manuscript
    The goal of the article is to explore what is the most probable type of simulation in which humanity lives (if any) and how this affects simulation termination risks. We firstly explore the question of what kind of simulation in which humanity is most likely located based on pure theoretical reasoning. We suggest a new patch to the classical simulation argument, showing that we are likely simulated not by our own descendants, but by alien civilizations. Based on this, we provide (...)
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  36. Using blinking fractals for mathematical modelling of processes of growth in biological systems.Yaroslav Sergeyev - 2011 - Informatica 22 (4):559–576.
    Many biological processes and objects can be described by fractals. The paper uses a new type of objects – blinking fractals – that are not covered by traditional theories considering dynamics of self-similarity processes. It is shown that both traditional and blinking fractals can be successfully studied by a recent approach allowing one to work numerically with infinite and infinitesimal numbers. It is shown that blinking fractals can be applied for modeling complex processes of growth of biological systems including (...)
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  37. Books’ Rating Prediction Using Just Neural Network.Alaa Mazen Maghari, Iman Ali Al-Najjar, Said Jamil Al-Laqtah & Samy S. Abu-Naser - 2020 - International Journal of Engineering and Information Systems (IJEAIS) 4 (10):17-22.
    Abstract: The aim behind analyzing the Goodreads dataset is to get a fair idea about the relationships between the multiple attributes a book might have, such as: the aggregate rating of each book, the trend of the authors over the years and books with numerous languages. With over a hundred thousand ratings, there are books which just tend to become popular as each day seems to pass. We proposed an Artificial Neural Network (ANN) model for predicting the overall rating (...)
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  38. The Growth of Knowledge in Social Science and Humanities.Rinat M. Nugayev - 2007 - Voprosi Filosofii (The Problems of Philosophy) (8):58-69.
    Criteria of the growth of knowledge proposed in modern philosophy of science are considered. It is argued that the model of growth that fits the peculiarities of social sciences&humanities is provided by the methodology of scientific research programmes. Yet one has to correct some drawbacks. The author concludes that the real growth of knowledge consists in the growth of causal explanations and in the corresponding growth of empirical content of the theories from superseeding scientific (...)
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  39. The Growth of Knowledge as a Problem of Philosophy of Science.Rinat M. Nugayev - 2006 - Filosofia Nauki (Philosophy of Science, Novosibirsk) 4 (31):3-19.
    The host of the growth of knowledge hallmarks, concocted by various philosophy of science models , is contemplated. It is enunciated that the most appropriate one is provided by methodology of scientific research programmes. Some salient drawbacks of the model, caused by the ambivalence of its basic notions, e.g. of the notions of ‘empirical content of a theory’, ‘progressive’ and ‘regressive’ ‘problemshifts’ can be mitigated by enriching the Lakatosian model with Nancy Cartwright’s results. To recapitulate: the genuine (...)
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  40. Type I error rates are not usually inflated.Mark Rubin - 2024 - Journal of Trial and Error 4 (2):46-71.
    The inflation of Type I error rates is thought to be one of the causes of the replication crisis. Questionable research practices such as p-hacking are thought to inflate Type I error rates above their nominal level, leading to unexpectedly high levels of false positives in the literature and, consequently, unexpectedly low replication rates. In this article, I offer an alternative view. I argue that questionable and other research practices do not usually inflate relevant Type I error rates. I begin (...)
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  41. Diversification and economic growth in Nigeria (1981–2016): An Econometric Approach Based on Ordinary Least Squares (OLS).Valentine Joseph Owan, Victor Chijioke Ndibe & Chidera Catherine Anyanwu - 2020 - European Journal of Sustainable Development Research 4 (4):em0131.
    Economic diversification has been the glamour of successive administrations in Nigeria, especially amidst the dwindling oil-revenue in recent years, which has resulted from the fluctuations in world crude oil prices. This study aims at investigating the impact of diversifying the economy on the economic growth in Nigeria. Secondary data on GDP growth rate as a proxy for economic growth, non-oil GDP as a proxy for GDP diversification, non-oil export as a proxy for export diversification, investment and (...)
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  42. Streamlined Book Rating Prediction with Neural Networks.Lana Aarra, Mohammed S. Abu Nasser, Mohammed A. Hasaballah & Samy S. Abu-Naser - 2023 - International Journal of Engineering and Information Systems (IJEAIS) 7 (10):7-13.
    Abstract: Online book review platforms generate vast user data, making accurate rating prediction crucial for personalized recommendations. This research explores neural networks as simple models for predicting book ratings without complex algorithms. Our novel approach uses neural networks to predict ratings solely from user-book interactions, eliminating manual feature engineering. The model processes data, learns patterns, and predicts ratings. We discuss data preprocessing, neural network design, and training techniques. Real-world data experiments show the model's effectiveness, surpassing traditional methods. This (...)
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  43. Modelling Change in Individual Characteristics: An Axiomatic Framework.Franz Dietrich - 2012 - Games and Economic Behavior 76 (5):471-94.
    Economic models describe individuals in terms of underlying characteristics, such as taste for some good, sympathy level for another player, time discount rate, risk attitude, and so on. In real life, such characteristics change through experiences: taste for Mozart changes through listening to it, sympathy for another player through observing his moves, and so on. Models typically ignore change, not just for simplicity but also because it is unclear how to incorporate change. I introduce a general axiomatic framework for (...)
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  44. Women Literacy Rate in the Princely State Tripura: A Historical Study.Nilanjan De - 2012 - Pratidhwani the Echo (I):99-107.
    Tripura was a princely state and ruled by the rulers of Manikya dynasty for a long period. She merged with the Indian Union on 15th Oct 1949. The rulers of Tripura wanted to modernise their state and educational modernisation was only a part of it. However, that process of modernisation was started only from the last quarter of 19th century. Many schools, both primary and secondary were established during that short span of time. Nevertheless, due to its primitive and patriarchal (...)
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  45. Predicting Books’ Rating Using Just Neural Network.Raghad Fattouh Baraka & Samy S. Abu-Naser - 2023 - Predicting Books’ Rating Using Just Neural Network 7 (9):14-19.
    The aim behind analyzing the Goodreads dataset is to get a fair idea about the relationships between the multiple attributes a book might have, such as: the aggregate rating of each book, the trend of the authors over the years and books with numerous languages. With over a hundred thousand ratings, there are books which just tend to become popular as each day seems to pass. We proposed an Artificial Neural Network (ANN) model for predicting the overall rating of (...)
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  46.  80
    Why It’s Difficult to Increase Job Creation to Balance Exponential Population Growth.Angelito Malicse - manuscript
    Why It’s Difficult to Increase Job Creation to Balance Exponential Population Growth -/- One of the biggest challenges in economic development is ensuring that job creation keeps pace with the rapid growth of the population. If a country fails to provide enough employment opportunities, it leads to rising unemployment, poverty, and social instability. The problem is even more complex because economic growth is not always proportional to population growth. Several key factors—such as economic productivity, income inequality, (...)
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  47.  64
    Ideal GDP per Capita, Gini Coefficient, and Population Growth: A Holistic Framework for National Prosperity.Angelito Malicse - manuscript
    Ideal GDP per Capita, Gini Coefficient, and Population Growth: A Holistic Framework for National Prosperity -/- Economic metrics such as GDP per capita, the Gini coefficient, and population growth are interrelated factors that shape a nation’s economic health, equity, and sustainability. While GDP per capita reflects the average economic output per person and the Gini coefficient measures income inequality, population growth plays a critical role in influencing both metrics. Achieving an ideal balance among these three indicators is (...)
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  48.  57
    Koncept ne-rastu a sociálno-ekologická transformácia [The concept of de-growth and socio-ecological transformation].Richard Sťahel - 2024 - In Peter Daubner, Ekológia, politika a sloboda. Bratislava: Filozofický ústav Slovenskej akadémie vied, v. v. i.. pp. 15-30.
    The chapter addresses the problem of the socio-ecological transformation of industrialized societies determined by the ideology of growth. It points out that the knowledge of the impossibility of sustainable growth on a planet with finite resources has been available at least since the 1960s. However, economic policies, as well as organizational principles and imperatives of public and private institutions, have so far been formulated regarding the growth imperative. However, the concepts of the Anthropocene and Planetary boundaries formulated (...)
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  49. Unlocking Literary Insights: Predicting Book Ratings with Neural Networks.Mahmoud Harara & Samy S. Abu-Naser - 2023 - International Journal of Engineering and Information Systems (IJEAIS) 7 (10):22-27.
    Abstract: This research delves into the utilization of Artificial Neural Networks (ANNs) as a powerful tool for predicting the overall ratings of books by leveraging a diverse set of attributes. To achieve this, we employ a comprehensive dataset sourced from Goodreads, enabling us to thoroughly examine the intricate connections between the different attributes of books and the ratings they receive from readers. In our investigation, we meticulously scrutinize how attributes such as genre, author, page count, publication year, and reader reviews (...)
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  50.  53
    A Balanced Economic Model: The Feedback Loop Between Public and Private Sectors with MMT as a Stabilizing Mechanism.Angelito Malicse - manuscript
    A Balanced Economic Model: The Feedback Loop Between Public and Private Sectors with MMT as a Stabilizing Mechanism -/- Introduction -/- Modern capitalism thrives on competition, profit motives, and consumer demand. However, the system is flawed because it allows extreme wealth inequality, market instability, and frequent economic crashes. Advertising, as an essential part of capitalism, manipulates consumer behavior to sustain profits. While this fuels economic growth, it also distorts the real needs of society. -/- A better alternative Is (...)
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