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

E-commerce platforms are flooded with a large variety of products, particularly clothing, making it challenging for users to find relevant items. In this paper, we present a methodology for building an efficient Clothing Classifier using deep learning techniques with the Keras library. We leverage Convolutional Neural Networks (CNNs), which are well-suited for image classification tasks, to categorize clothing items into predefined categories (e.g., shirts, pants, dresses, shoes). This paper demonstrates the process from data collection, pre-processing, model design, and evaluation to (...) create an image classifier capable of identifying clothing types in an e-commerce setting. (shrink)

Nobody doubts that culture plays a decisive role in understanding human forms of life. But it is unclear how this decisive role should be integrated into a comprehensive explanatory model of human behaviour that brings together naturalistic and social-scientific perspectives. Cultural difference, cultural learning, cultural determination do not mix well with the factors that are normally given full explanatory value in the more naturalistic approaches to the study of human behaviour. My purpose in this paper is to alert to some (...) of the theoretical vulnerabilities or concerns that the cross-cultural study of mind and behaviour might entail. I classify these theoretical concerns into three, loosely defined, categories: epistemological, ontological and ethical. The first have to do with what in anthropology was once labelled as ‘butterfly collecting’. What kind of supplementary, or additional, general theoretical knowledge do we produce when we add to the research different, particularistic, culturally determined, ways of knowing? Ontological concerns refer to the underlying reality that those ways of knowing are meant to disclose. If there are so many ways of knowing the world, where is the reality to be known? Ethical concerns are those entailed in the forms of ‘othering’ that unqualified cross-cultural research is likely to produce in research participants. (shrink)

In this article, seven strategies for dealing with cross-cultural ethical conflict are described. Conflict situations are classified on the basis of centrality and consensus on the values involved, influence of the decision maker, and urgency. A contingency model suggests appropriate strategies for different situations. The model is applied to representative cases of cross-cultural ethical conflict.

Theories of music evolution rely on our understanding of what music is. Here, I argue that music is best conceptualized as an interactive technology, and propose a coevolutionary framework for its emergence. I present two basic models of attachment formation through behavioral alignment applicable to all forms of affiliative interaction and argue that the most critical distinguishing feature of music is entrained temporal coordination. Music's unique interactive strategy invites active participation and allows interactions to last longer, include more participants, (...) and unify emotional states more effectively. Regarding its evolution, I propose that music, like language, evolved in a process of collective invention followed by genetic accommodation. I provide an outline of the initial evolutionary process which led to the emergence of music, centered on four key features: technology, shared intentionality, extended kinship, and multilevel society. Implications of this framework on music evolution, psychology, cross-species and cross-cultural research are discussed. (shrink)

In this commentary upon the article “Mindfulness in Global Health: Critical Analysis and Agenda”, we articulate how scal-ing mindfulness technologies as multilevel public health interventions requires the framework of embodied cognition for a scientific articulation of the nuanced dynamics of mindfulness as a therapeutic technology. Embodied cognition contends that the body and bodily activity in the world are constitutive facets of mind. Mindfulness understood in terms of its embod-ied, enacted, extended, and embedded dimensions describes a broad set of contemplative (...) practices that utilize the circular structure of embodiment to intervene in the complex feedback structure of the mind–body system, influencing cycles of organismic self-regulation and enactments of self-world perception. We contend that to advance the discussion, initiated by Oman, about mindfulness in public health, attention must be given to reconceiving mind–body linkages, the nature of awareness, and the vital role of non-conceptual direct experience in mindfulness interventions. This provides grounds for reconceiving mindfulness as a skillful mode of embodied social cognition and for recognizing diverse cross-cultural contemplative technologies as useful for adapting mindfulness-based interventions to specific populations needs. We also arrive at a novel model of the decentering skills fostered through mindfulness via non-conceptual attention to the processes underlying cognition. It also models mindfulness-based exposure therapy, understood not behaviorally, but through insights generated via intentionally orienting towards internal representation in order to uncover habituated patterns by which we enact both self and world perception. In this way, we may better articulate the nature of mindfulness and thus its effective application to population-scale problems. (shrink)

. Speech Emotion Recognition (SER) is an interdisciplinary field that leverages signal processing and machine learning techniques to identify and classify emotions conveyed through speech. In recent years, SER has gained significant attention due to its potential applications in human-computer interaction, healthcare, education, and customer service. Emotions such as happiness, anger, sadness, fear, surprise, and disgust can be inferred from various acoustic features including pitch, intensity, speech rate, and spectral characteristics. However, accurately recognizing emotions from speech is challenging due to (...) factors such as speaker variability, cultural differences, background noise, and the subtleties of emotional expression. This paper explores the state-of-the-art methodologies for speech emotion recognition, with an emphasis on deep learning approaches, feature extraction techniques, and the use of large-scale emotion-labeled datasets. We review traditional approaches, such as hidden Markov models and support vector machines, and compare them with modern advancements in neural networks, particularly convolutional neural networks (CNNs) and recurrent neural networks (RNNs). Additionally, we discuss the challenges in the field, including emotion detection in spontaneous speech, the impact of cross-lingual and crosscultural recognition, and the limitations of current benchmarks. Finally, we provide an overview of real-world applications of SER systems, including their integration into virtual assistants, mental health diagnostics, and interactive entertainment. We conclude by highlighting emerging trends in multimodal emotion recognition and the potential for future research in improving the robustness and accuracy of SER systems in diverse environments. (shrink)

The Common Anatomy Reference Ontology (CARO) is being developed to facilitate interoperability between existing anatomy ontologies for different species, and will provide a template for building new anatomy ontologies. CARO has a structural axis of classification based on the top-level nodes of the Foundational Model of Anatomy. CARO will complement the developmental process sub-ontology of the GO Biological Process ontology, using it to ensure the coherent treatment of developmental stages, and to provide a common framework for the model organism communities (...) to classify developmental structures. Definitions for the types and relationships are being generated by a consortium of investigators from diverse backgrounds to ensure applicability to all organisms. CARO will support the coordination of cross-species ontologies at all levels of anatomical granularity by cross-referencing types within the cell type ontology (CL) and the Gene Ontology (GO) Cellular Component ontology. A complete cross-species CARO could be utilized in other ontologies for cross-product generation. (shrink)

This paper proposes an extensionalist analysis of computer simulations (CSs). It puts the emphasis not on languages nor on models, but on symbols, on their extensions, and on their various ways of referring. It shows that chains of reference of symbols in CSs are multiple and of different kinds. As they are distinct and diverse, these chains enable different kinds of remoteness of reference and different kinds of validation for CSs. Although some methodological papers have already underlined the role (...) of these various relationships of reference in CSs and of cross-validations, this diversity is still overlooked in the epistemological literature on CSs. As a consequence, a particular outcome of this analytical view is an ability to classify existing epistemological theses on CSs according to what their authors choose to select and put at the forefront: either the extensions of symbols, or the symbol-types, or the symbol-tokens, or the internal denotational hierarchies of the CS or the reference of these hierarchies to external denotational hierarchies. Through the adoption of this extensionalist view, it also becomes possible to explain more precisely the reasons why some complete reduction of CSs to classical epistemic paradigms such as “experiment” or “theoretical argument” remains doubtful. On this last point, in particular, this paper is in agreement with what many epistemologists already have acknowledged. (shrink)

This draft Chapter 4 of the book “In the Beginning was Chiasmus: On the Epistemology of Non-quantified Modelling, describes how Plato’s method of divisions and collections (diairesis) accommodates both linear hierarchal classification and combinatoric cross-classification. It presents Plato’s and the early Neoplatonists’ use of cross-classificatory (chiastic) modelling as an ancient prototype of contemporary typological and morphological modelling.

The rapid rise of generative AI, including LLMs, has prompted a great deal of concern, both within and beyond academia. One of these concerns is that generative models embed, reproduce, and therein potentially perpetuate all manner of bias. The present study offers an alternative perspective: exploring the potential of LLMs to detect bias in human generated text. Our target is genetic essentialism in obesity discourse in Australian print media. We develop and deploy an LLM-based classification model to evaluate a (...) large sample of relevant articles (n=26,163). We show that our model detects genetic essentialist biases as reliably as human experts; and find that, while genes figure less prominently in popular discussions of obesity than previous work might suggest, when genetic information is invoked, it is often presented in a biased way. Implications for future work are discussed. (shrink)

What the authors attempt to address in this paper is a Kantian question: not whether, but how is cross -cultural understanding possible? And specifically, what is a more effective approach for cross -cultural understanding? The answer lies in an analysis of two different models of cross -cultural understanding, that is, propositional and hermeneutic understanding. To begin with, the author presents a linguistic interpretation of culture, i.e., a culture as a linguistically formulated and transmitted symbolic system with (...) its conceptual core as a scheme of basic cultural presuppositions, which it referred to as a cultural language. After exploring the essential role of cultural presuppositions in cross -cultural understanding, the author discusses the traditional model of cross -cultural understanding, namely, the propositional model. Through critically examining the two popular versions of the propositional model, i.e., the projective approach and the adoptive approach to cross -cultural understanding, it is found that cross -cultural propositional understanding is doomed to failure. To move us beyond the absolutism -relativism trap embedded within propositional understanding, the author first introduces and discusses Hans-Georg Gadamer’s hermeneutic understanding, and then applies Hans-Georg Gadamer’s hermeneutic model of understanding to cross -cultural understanding. It is finally concluded that cross -cultural understanding is essentially hermeneutic—including the case of cultural learning, not propositional. Therefore, cross -cultural understanding is hermeneutically possible. (shrink)

This article argues for the explanatory autonomy of psychology drawing on cases from the multilevel modeling practice. This is done by considering a multilevel linear model in personality and social psychology, and discussing its philosophical implications for the reductionism debate in philosophy of psychology. I argue that this practice challenges the reductionist position in philosophy of psychology, and supports the explanatory autonomy of psychology.

Background: The World Health Organization has endorsed a community-based health insurance scheme (CBHIS) as a shared financing plan to improve access to health services and ensure universal coverage of the healthcare delivery system. Such a contributory scheme is the most likely option to provide health insurance coverage when governments cannot offer direct health care support. Despite improvements in access to current healthcare services, Ethiopia’s healthcare delivery remained low, owing to the country’s underdeveloped healthcare finance system. As a result, the present (...) study assessed CBHIS coverage and its predictors in Ethiopia at the individual and community level. Methods: The availability of CBHIS was checked via a criterion: at least one of the cluster respondents had to be enrolled in CBHIS. This study was based on secondary data from the Ethiopia Mini Demography and Health Survey (EMDHS) 2019 and included 7724 respondents. The study population was described using percentage and frequency. Four multilevel mixed-effects logistic regression modelling stages were performed to control for variations due to heterogeneity across clusters, and determinant predictors of CBHIS enrollment were outplayed. Results: The prevalence of CBHIS enrollment in Ethiopia was 33.13%. Rural residents were 3.218 times (AOR = 3.218; 95% CI: 1.521, 6.809), male household heads were 1.574 times (AOR = 1.574, 95% CI: 1.105, 2.241), getting funds from the safety net program were times 2.062 (AOR = 2.062, 95% CI: 1.297, 3.279), attending the primary educational level was 1.686 times (AOR = 1.686, 95% CI: 1.007, 2.821), bank accounts were 1.373 times (AOR = 1.373, 95% CI: 1.052, 1.792), and wealth index was 1.356 times (AOR = 1.356, 95% CI: 1.001, 1.838) more likely associated with CBHIS coverage, whereas the regions, the other religions, and women aged 20– 24 had lower odds of CBHIS coverage. Conclusion: In Ethiopia, regional healthcare expenditure per capital, religious affiliation, women age range, residents, sex of household head, funds from the safety net program, formal educational level, and having bank accounts were associated with community-based health insurance scheme coverage. (shrink)

With the fast pace of AI development, the problem of preventing its global catastrophic risks arises. However, no satisfactory solution has been found. From several possibilities, the confinement of AI in a box is considered as a low-quality possible solution for AI safety. However, some treacherous AIs can be stopped by effective confinement if it is used as an additional measure. Here, we proposed an idealized model of the best possible confinement by aggregating all known ideas in the field of (...) AI boxing. We model the confinement based on the principles used in the safety engineering of nuclear power plants. We show that AI confinement should be implemented in several levels of defense. These levels include 1) AI design in fail-safe manner 2) limiting its capabilities, preventing self-improving and circuit breakers on treacherous turn 3) isolation from the outside world and, lastly, as the final hope 4) outside measures oriented on stopping AI in the wild. We demonstrate that the substantial number (more than 50 ideas listed in the article) of mutually independent measures could provide a relatively high probability of the containment of a human-level AI but may be not sufficient to preserve runaway of superintelligent AI. Thus, these measures will work only if they are used to prevent superintelligent AI creation, but not for containing superintelligence. We suggest that there could be a safe operation threshold, on which AI is useful, but is not able to hack containment system from the inside, the same way as a safe level of chain reaction inside nuclear power plants is maintained. However, overall, a failure of the confinement is inevitable, so we need to use the full AGI limited number of times (AI-ticks). (shrink)

Abstract: The field of life extension is full of ideas but they are unstructured. Here we suggest a comprehensive strategy for reaching personal immortality based on the idea of multilevel defense, where the next life-preserving plan is implemented if the previous one fails, but all plans need to be prepared simultaneously in advance. The first plan, plan A, is the surviving until advanced AI creation via fighting aging and other causes of death and extending one’s life. Plan B is (...) cryonics, which starts if plan A fails, and assumes cryopreservation of the brain until technical capabilities to return it to life appear. Plan C is digital immortality in the sense of collecting data about the person now so future AI will be able to recreate a model of a person. Plan D is the hope based on some unlikely scenarios of infinite survival, like so-called “quantum immortality”. All these plans have personal and social perspective. The personal aspect means efforts of the increasing chances of personal survival via taking care about one’s own health, signing cryocontract or collecting digital immortality data. The social aspect means the participation in collective work towards creation and increase of the availability of life extension technologies, which includes funding scientific research, promotion of life extension value and direct performing of research and implementation, as well as preventing global catastrophic risk. All plans converge at the end, as their result is the indefinite survival as an uploaded mind inside an ecosystem, created by a superintelligent AI. (shrink)

Seeking consensuses from the public is difficult, this also applies to the heritage sector, particularly in heritage preservation. ‘What, why and how to preserve?’ are the core of debates in the field and the differ- ences between points of views are basically due to the difference in valuation. In order to know everyone’s needs, views and expectations better and for sustainability, involving the community for preservation be- comes fundamental. Education, an experience which does not only provide opportunities for enlightenments and (...) widening horizons, but also introduce various concepts in terms of moral, ethical and social through systematic instructions. Having such great impact to community, promoting heritage education can be an effective approach awakening public consciousness on heritage preservation, and thus, enhancing people’s responsibility towards heritage, for both tangible and intangible, and developing a sustainable future for heritage through public engagement. However, it is necessary to understand the structure or the level of engagement prior setting the goal for heritage education. A model for classifying the level of engagement from performance is proposed for clarification and appraisal. This model is part of the research project of Community Engagement with Heritage in Macau which has an intention to examine its level of community engagement and give suggestions. This essay will first discuss community engagement, then classify the levels of engagement with models and lastly argue heritage education can elevate the level of community engagement which ultimately achieves the aim of heritage preservation. (shrink)

This essay is a defense of the social construction of racialism. I follow a standard definition of “racialism” which is the belief that “there are heritable characteristics, possessed by members of our species, that allow us to divide them into a small set of races, in such a way that all the members of these races share certain traits and tendencies with each other that they do not share with other members of any other race”. In particular I want to (...) defend the “radical” social-constructive thesis that holds “the concept of race is exclusively the product of historical and cultural causes. It claims that humans do not tend to classify people into races when groups with different phenotypes meet, save for particular historical circumstances”. The quoted position is the consensus view among historians, sociologists, anthropologists, and other social scientists who study racialism but has recently been criticized by philosophical defenders of cognitive/evolutionary psychological approaches to racialism. Drawing on developmental studies as well as historical and contemporary cross-cultural research, CEP philosophers point to similarities of racialism across time and space. They hold that social constructionist approaches to racialism cannot explain these similarities. I hold that SC approaches do explain these similarities and that such similarities actually pose a significant challenge to the proposed CEP research program on racialism. (shrink)

The representation and classification of the structure of natural arguments has been one of the most important aspects of Aristotelian and medieval dialectical and rhetorical theories. This traditional approach is represented nowadays in models of argumentation schemes. The purpose of this article is to show how arguments are characterized by a complex combination of two levels of abstraction, namely, semantic relations and types of reasoning, and to provide an effective and comprehensive classification system for this matrix of semantic and (...) quasilogical connections. To this purpose, we propose a dichotomous criterion of classification, transcending both levels of abstraction and representing not what an argument is but how it is understood and interpreted. The schemes are grouped according to an end-means criterion, which is strictly bound to the ontological structure of the conclusion and the premises. On this view, a scheme can be selected according to the intended or reconstructed purpose of an argument and the possible strategies that can be used to achieve it. (shrink)

In today’s world, education is less being considered as an outcome, but more as a journey. As the adventurers, our students are facing more and more complex challenges. Previously, the socio-economic status of a student’s family seemed to be one of the biggest factors among inequality causes. Nowadays, the chaotic situation of today's VUCA world (volatility, uncertainty, complexity, and ambiguity) is generating more and more types of inequity and inequality. Thus, the purpose of the study is to develop LERB - (...) a simple model to classify inequity and inequality, as a stepping-stone to build a gap detection framework. Through a structured literature review, the study identified the interconnection between equity and equality, as well as their transition toward students as an individual or as a group(s) and subgroup(s). The study can also be adapted to examine the correlation between different categories of equity, as well as to brainstorm and propose remedies to tackle those gaps. (shrink)

Socrates' cross-examination of Callicles in the 'Gorgias' has traditionally been viewed as a paradigm of the Socratic method. I argue that, when he cross examines Callicles, Socrates behaves out of character. In fact, he acts like a Sophist and violates the very principles of persuasion that he advocates in the 'Gorgias'. I offer an explanation of Socrates' temporary transformation into a Sophist, and suggest that his role-reversal reinforces Plato's representation of Socrates as the model of the virtuous philosopher.

In the political discourse regarding gender identity, the concept of biological sex has been weaponised by gender critical commentators to oppose gender affirmation for trans people. Recently, these commentators have appealed to an essentialist model of sex based on anisogamy, or relative gamete size, to argue that one’s sex is an immutable characteristic. I argue that the gender critical argument is unsound. The diverse purposes of sex classification and the complex variability of people’s sexual characteristics show that an essentialist model (...) is untenable. I then consider how a more adequate theoretical framework from the philosophy of biology can accommodate this complexity and capture how sex is classified in relevant contexts. Further implications of the framework are explored which concern the vagueness, polysemy, and mutability of sex. These undercut the gender critical argument and show that the appeal to biological sex fails to undermine gender affirmation for trans people. (shrink)

Both the irreducible complexity of biological phenomena and the aim of a universalized biology (life-as-it-could-be) have lead to a deep methodological shift in the study of life; represented by the appearance of ALife, with its claim that computational modelling is the main tool for studying the general principles of biological phenomenology. However this methodological shift implies important questions concerning the aesthetic, engineering and specially the epistemological status of computational models in scientific research: halfway between the well established categories of (...) theory and experiment. ALife models become powerful epistemic artefacts allowing the simulation of emergent phenomena, the interaction between different levels of organization and the integration of different causal factors in the very same manipulable object. The use of computational models in ALife can be classified in four main categories depending on their position between theoretical and empirical practices: generic, conceptual, functional and mechanistic. For each of these categories we analyse their epistemic value and select paradigmatic examples that illustrate how ALife models can be fruitfully inserted in the study of life. (shrink)

In this paper, we discuss the processes of racialisation on the example of biomedical research. We argue that applying the concept of racialisation in biomedical research can be much more precise, informative and suitable than currently used categories, such as race and ethnicity. For this purpose, we construct a model of the different processes affecting and co-shaping the racialisation of an individual, and consider these in relation to biomedical research, particularly to studies on hypertension. We finish with a discussion on (...) the potential application of our proposition to institutional guidelines on the use of racial categories in biomedical research. (shrink)

Ever since Machery et al. first decided to test whether non-philosophers assign reference in accordance with the causal-historical account, the reference of proper names has been tested by means of setups modelled on Kripke’s Gödel and Jonah cases. Over the years, the use of these setups as a means to test theories of reference has attracted much criticism. However, previous follow-up studies have supposedly accounted for these criticisms, for the most part without changing the original outcome. We conducted experiments suggesting (...) that participants’ responses in these setups never tracked what they are supposed to track. In our study, we tested the setup itself by using analogues of different setups modelled on Kripke’s Gödel and Jonah cases. Instead of proper names, our analogues featured terms for which we have independent reason to believe that the causal-historical account is not true. The analogues elicited large proportions of supposed causal-historical responses. (shrink)

The Fully Bayesian Significance Test (FBST) is a coherent Bayesian significance test for sharp hypotheses. This paper explores the FBST as a model selection tool for general mixture models, and gives some computational experiments for Multinomial-Dirichlet-Normal-Wishart models.

Abstract: A corn crop typically refers to a large-scale cultivation of corn (also known as maize) for commercial purposes such as food production, animal feed, and industrial uses. Corn is one of the most widely grown crops in the world, and it is a major staple food for many cultures. Corn crops are grown in various regions of the world with different climates, soil types, and farming practices. In the United States, for example, the Midwest is known as the "Corn (...) Belt" due to its extensive corn production. Corn crops can be grown using a variety of methods, including conventional tillage, no-till farming, and the use of genetically modified crops. Due to its importance, there is a need for discovering the corn diseases and treating them. The aim of this study is to propose a deep learning model for the classification of corn leaf diseases based on Convolutional Neural Network. A model for classifying maize diseases was developed using a dataset for classifying Corn diseases that contains 4 classes of disease. The dataset was collected from Keggel website. The proposed model was trained, validated, and tested. The F1-score (99.83%), Recall (99.83%), precision (99.83%), Accuracy (99.83%). (shrink)

Abstract: People all over the world have been drinking tea for thousands of centuries, and for good reason. Many types of teas can help you stay healthy by boosting your immune system, reducing inflammation, and even preventing cancer and heart disease. There is sufficient material to show that regularly consuming tea can improve your health over the long term. A deep learning model that categorizes tea disorders has been completed. When focusing on the tea, we must also focus on and (...) take into account the diseases that harm it. The aim of this paper is to diagnose tea diseases based on a dataset containing 8000 picture and 8 classes .The model gave the final accuracy test with an F1-score of 99.41% in an estimated time 3 second, as with these results it proved its effectiveness and good ability in the classification test. (shrink)

An important question for the causal modeling approach is how to integrate non‐causal dependence relations such as asymmetric supervenience into the approach. The most prominent proposal to that effect (due to Gebharter) is to treat those dependence relationships as formally analogous to causal relationships. We argue that this proposal neglects some crucial differences between causal and non‐causal dependencies, and that in the context of causal modeling non‐causal dependence relationships should be represented as mutual dependence relationships. We develop a new kind (...) of model – “hybrid models” ‐ based on this suggestion, and formulate a set of axioms for those models. Our formalism has important implications for Kim's exclusion problem: whereas Gebharter's framework vindicates Kim's causal exclusion objection against nonreductive physicalism, our framework has no such implication, and can help non‐reductive physicalists vindicate the efficacy of high‐level properties. A further benefit of our formalism is that it yields a natural and plausible way of thinking about interventions in multi‐level contexts. (shrink)

The book answers long-standing questions on scientific modeling and inference across multiple perspectives and disciplines, including logic, mathematics, physics and medicine. The different chapters cover a variety of issues, such as the role models play in scientific practice; the way science shapes our concept of models; ways of modeling the pursuit of scientific knowledge; the relationship between our concept of models and our concept of science. The book also discusses models and scientific explanations; models in (...) the semantic view of theories; the applicability of mathematical models to the real world and their effectiveness; the links between models and inferences; and models as a means for acquiring new knowledge. It analyzes different examples of models in physics, biology, mathematics and engineering. Written for researchers and graduate students, it provides a cross-disciplinary reference guide to the notion and the use of models and inferences in science. (shrink)

Purpose. The article aims to provide practical recommendations for calculating natural frequencies in axisymmetric shells using finite element methods. It focuses on the need to develop a simplified model that can be used in any modern finite element software package. The study analyzes the impact of the simplified homogeneous model on the deviation and error of natural frequencies compared to real structures. Design / Method / Approach. The research is based on creating a simplified shell geometry by determining parameters such (...) as shell thickness and density. These parameters are derived under the condition of equivalence in the moment of inertia and mass of the cross-sectional element. These parameters can vary along the height of the shell. Findings. The natural frequencies of the experimental shell with complex geometry were calculated and compared with those of the simplified model. The deviations and errors in the calculated frequencies were determined. It was demonstrated that the simplified model allows the calculation of natural frequencies with a deviation of no more than 1% from the experimental model, while significantly reducing computation time and the required computer resources. Theoretical Implications. The research expands the understanding of challenges in calculating the natural frequencies of complex objects using finite element methods under limited computational resources. Practical Implications. Practical recommendations are provided for engineers and designers when performing modeling tasks in the mechanics of deformable solid bodies. Originality / Value. The article presents an original analysis of a real case where a simplified model was implemented to determine the natural harmonics of a liquid rocket engine nozzle, making it a valuable tool for studying complex structures. Research Limitations / Future Research. The study is limited to the analysis of determining the natural frequencies of axisymmetric shells and does not cover all possible geometric features. Future research may focus on developing simplified models based on the equivalence of stiffness and mass parameters. Article Type. Case study, practical article. (shrink)

In this paper, we aim to trace the origin of the systematic cross-cultural variations in referential intuitions by investigating the effects of perspective taking on people’s responses in the Gödel-style probes through two novel experiments. Here is how we will proceed. In section 2, we first briefly introduce the MMNS (2004) study, and then critically review the two relevant studies conducted by Sytsma and colleagues (i.e., Sytsma and Livengood 2011; Sytsma et al. 2015). In section 3, we introduce the (...) literature on cross-cultural variation in perspective taking in cultural psychology, which together with the conjecture of perspectival ambiguity leads to the hypothesis of our current study. In sections 4 and 5, two new experiments on how perspective taking affects people’s responses in hypothetical stories modelled on the Gödel thought experiment will be reported. Based on the empirical findings, in section 6 we argue that the robust cross-cultural variations thus far observed in people’s responses to the Gödel cases are largely attributable to culturally specific perspective-taking strategies, which provides new support for the proposal previously made by Sytsma and Livengood (2011). The implications of the experimental results for the ongoing work of testing the theories of refence of names and for the current metaphilosophical debate on the robustness of philosopher’s intuitions are also drawn in this section. Finally, the major conclusions and contributions of the current study are highlighted in section 7. (shrink)

The aim of the Validation Theory (VT) as a meta-empirical construct is to introduce a new vista in the reorganization of the neuroscience, in its role of a science of the Mind-and-Brain unification. The present study focuses on existing discrepancies and contradictions between the methods of basic neurosciences and those prescribed by the psychological science. Our view is that these discrepancies are based on a high penetration of traditional neuroscience methods into the biological processes, coupled with low extrapolation (experimenting with (...) animal models) and vice versa for the psychological and psychopathological methods. A novel epistemological model for integrating psychological and neuroscientific knowledge is proposed. It is represented as a simultaneous investigation of the brain activity with penetrating high resolution functional Magnetic Resonance Imaging and in extenso application of set of psychological tests for exploring correspondence (cross-validation) between their compounds. The proposed approach leads to a revision of the neuroscientific and psychological terms, methods and data, followed by a revision of their relative interplay. This would make possible a practical exchange of expensive but objective fMRI with the lower costing psychological instruments (effect of "minimization"). The approaches proceeding from VT will infiltrate diagnostics and prevention in psychiatry. On a further stage the pharmaco-psychological monitoring will uncover new opportunities. This proofs' based research and practice represents an integral counterpart of the values-based mental health care. In conclusion VT is an evolutionary corner stone in order to traverse the stage of a Brain-Brain paradigm and to reach the point of development of the Mind-Brain paradigm. (shrink)

This article proposes a term structure model for dual-currency interest rate markets. The model assumes that volatility is a deterministic function of time alone. This volatility structure can reduce the dimension of the required state variables. An important special case is presented, which corresponds essentially to a Vasicek/Hull-White yield curve model in each currency. The model is very useful for pricing cross-currency derivatives.

Uses erotetic logic to model the courtroom objection "Improper Cross!". -/- Readers downloading the article should also please download the erratum et corrigendum, which is locally available.

A holobiont is a composite organism consisting of a host together with its microbiome, such as a coral with its zooxanthellae. To explain the often intimate integration between hosts and their microbiomes, some investigators contend that selection operates on holobionts as a unit and view the microbiome’s genes as extending the host’s nuclear genome to jointly comprise a hologenome. Because vertical transmission of microbiomes is uncommon, other investigators contend that holobiont selection cannot be effective because a holobiont’s microbiome is an (...) acquired condition rather than an inherited trait. This disagreement invites a simple mathematical model to see how holobiont selection might operate and to assess its plausibility as an evolutionary force. This paper presents two variants of such a model. In one variant, juvenile hosts obtain microbiomes from their parents (vertical transmission). In the other variant, microbiomes of juvenile hosts are assembled from source pools containing the combined microbiomes of all parents (horizontal transmission). According to both variants, holobiont selection indeed causes evolutionary change in holobiont traits. Therefore, holobiont selection is plausibly an effective evolutionary force with either mode of microbiome transmission. The modeling employs two distinct concepts of inheritance, depending on the mode of microbiome transmission: collective inheritance whereby juveniles inherit a sample of the collected genomes from all parents, as contrasted with lineal inheritance whereby juveniles inherit the genomes from only their own parents. A distinction between collective and lineal inheritance also features in theories of multilevel selection. (shrink)

This article aims to provide a new philosophical explication of the doctrine of the Incarnation. A compositional model of the doctrine is formulated within the Dispositional Personhood account of Lynne Rudder Baker and the Composition as Identity framework of Donald L.M. Baxter. Formulating the doctrine of the Incarnation within this account and framework will enable it to be explicated in a clear and consistent manner, and the oft‐raised objections against this type of model can be answered.

This study adds to the existing literature on meaningful work by offering a cross-cultural perspective. Since work shapes the kind of person that we are and plays an important role in our well-being, some theorists have adopted a virtue theory approach to meaningful work using an Aristotelian-MacIntyrean framework. For lack of a better term, I will call this a western virtue theory. This paper presents a contemporary virtue-focused Buddhist perspective on the topic. While a virtue-ethics interpretation of Buddhism is (...) now widely accepted and has been applied to several issues, not much has been written about meaningful work using a Buddhist-Aristotelian comparative framework. Buddhism is an important cultural component not only of countries that are predominantly Buddhist, but of other societies that have come in contact with it. To develop a Buddhist framework, I draw heavily from the works of Buddhist scholars, particularly in the West who use a virtue framework in interpreting Buddhism. The aims of my essay are dual. The first is to articulate a straightforward application of Buddhism on the contemporary ethical discussion of meaningful work. The second is to discuss the similarities, clarify the differences, and demonstrate the strengths and weaknesses relative to each other of the Buddhist and the Western virtue theory perspectives. In my analysis, I will argue that consideration of Buddhist perspective will enable us to construct a cross-cultural, inclusive, and pluralistic conceptual model for the deliberation of meaningful work that complements the Western virtue theory. (shrink)

Concurring to information from the Centresfor Illness Control and Anticipation, instruction and religion are both capable indicators of lasting or dissolving unions. The chance of a marriage finishing in separate was lower for individuals with more knowledge, with over half of relational unions of those who did not complete high school having finished in separate compared with roughly 30 percent of relational unions of college graduates. With this overview, the divorce rate dataset from UCI dataset repository is used for predicting (...) the divorce class target with the following contributions. Firstly, the Divorce rate dataset is subjected with the data cleaning and exploratory data analysis. Secondly, the data set is settled with different classifiers to look at the classification before and after feature scaling. Thirdly, the dataset is processed with various cross validation of training and testing dataset i.e 80:20, 30:70, 40:60, 50:50 to improve the accuracy of all the classifiers. Fourth, the dataset is processed with 15, 20 and 30 components of principal component analysis and then applied with all classifier algorithm to analyze the accuracy of divorce rate prediction. Fifth, the performance analysis is done with precision, recall, accuracy, fscore and running time to infer the classification before and after feature scaling. Experimental results show that the Random Forest classifier is found to have the accuracy of 98% for all PCA reduced dataset with 15, 20 and 30 components. The result showsthat Random Forest classifier is found to have the accuracy of 98% for 40:60, 50:50 of training and testing dataset. (shrink)

The five studies of this special section investigate the role of models and similar representational tools in interdisciplinarity. These studies were all written by philosophers of science, who focused on interdisciplinary episodes between disciplines and sub-disciplines ranging from physics, chemistry and biology to the computational sciences, sociology and economics. The reasons we present these divergent studies in a collective form are three. First, we want to establish model-exchange as a kind of interdisciplinary event. The five case studies, which are (...) summarized in Section 2 below, show the relevance of this kind. Arguing for the relative unity of these cases will, we hope, re-orient the current debate over interdisciplinarity so as to reflect more appropriately the importance of this kind. We discuss our view of the current state of the debate in Section 3. The evidence from these cases also helps us to develop a taxonomy of interdisciplinary model exchanges in Section 4da taxonomy, we would like to add, that might be useful for the discussion of interdisciplinary exchanges beyond the context of models and their transfer. The second reason for presenting these studies together is that they provide an important source of evidence for the philosophy of science. Over the last three decades, philosophy of science has increasingly differentiated into philosophies of various disciplines. This differentiation in our view has greatly increased our understanding of the scientific practices of the respective disciplines, including the epistemological and methodological standards and conventions on which these practices are based and by which they are evaluated. But it has also made it harder to compare these practices and standards across disciplines. The studies we present here are case studies of interdisciplinary exchange: they focus on the transfer, collaborative construction or parallel use of models and similar representational tools. They therefore provide a unique opportunity to investigate various disciplinary treatments of the same or at least similar representational tools. This allows the identification and comparison of different disciplinary practices and their underlying conventions as well as of the respective normative standards of their evaluation. By tracing the paths along which models travel between disciplines and research fields we can observe to which extent discipline-external practices associated with an adopted tool are retained or replaced by disciplineinternal practices. This generates invaluable information about both disciplinarity and interdisciplinarity. We develop this argument further in Section 5. The third reason for presenting these studies in collective form is that their philosophical analysis also has important normative implications for the notion of interdisciplinarity itself. Too often in the current (non-philosophical) discourse is interdisciplinarity cast as an exclusively integrative project: interdisciplinary exchange is often claimed to be successful only if the involved disciplines become mutually more integrated as a consequence of this process. In contrast to this, many of the cases presented here show that interdisciplinary exchange can be scientifically highly successful, even if at the end of the exchange disciplinary borders remain fully intact. Indeed, borders can be fruitfully crossed without any integration across these borders. Such considerations of divergence in scientific practices and tools offer arguments against a naïve plea for unitarian or non-pluralist versions of interdisciplinarity. Disciplinary divergences may have their justifications, and attempting exchanges that require the reduction of these divergences may consequently not be justified. We pursue this argument further in Section 6. (shrink)

Loyalty is considered central to people’s moral life, yet little is known about how people think about what it means to be loyal. We used a prototype approach to understand how loyalty is represented in Colombia and the United States and how these representations mediate attributions of loyalty and moral judgments of loyalty violations. Across 7 studies (N = 1,984), we found cross-cultural similarities in the associative meaning of loyalty (Study 1) but found differences in the centrality of features (...) associated with loyalty (Study 2) and the latent structure of loyalty representations (Study 3). Colombians represent loyalty in terms of more general moral characteristics, while US participants represent loyalty in terms of interpersonal commitment, both in contrast with current approaches to loyalty. By comparing representations of loyalty and honesty, we establish that difference in loyalty conceptualizations reflect a different way of thinking about loyalty rather than morality more generally (Study 4). Further, Colombians attributed greater loyalty to individuals with general moral characteristics compared to participants from the United States sample (Study 5) and were more likely to classify non-loyal values as loyalty-related (Study 6). While the centrality of prototypical features predicts categorizing norm violations as loyalty-related, differences in prototypical structure account for differences in the severity of moral judgment for such violations (Study 7), which suggests that loyalty representations have similar functions even though these representations differ in structural characteristics. (shrink)

Chiastic order is an ancient expression for cross-classification. Cross-classification, in turn, is one of many terms used for the operation of conjoining or cross-mapping one domain, class or set of concepts with another. As such, it is the primordial form of non-quantified modelling and combinatory heuristics. This article presents a brief epistemological history of non-quantified modelling: its prehistory in the form of rhetorical chiasmus; its early (pre-symbolic) use by Plato as a cross-order (paradigmatic) modelling method; and (...) its “modern” (symbolic) use by Leibniz as a calculus of concepts. It will also be shown how classification theory itself is built on a cross-classificatory construct involving two fundamental logical/structural relationships: subordination and conjunction. Finally, examples of modern computer-aided, non-quantified modal modelling are presented in the areas of design theory, operational research and decision science. (shrink)

This study aimed to explain the level of adoption of vegetable technologies among the youth members of 4-H clubs in some parts of Southern Leyte, Philippines, and expose its governing predictors. The data gathering employed cross-sectional and primary information among the 118 youth members selected in the form of a census. The study used a researcher-developed research instrument adapted from existing studies in the literature. The collected data were summarized using some standard descriptive metrics in statistics and an ordinal (...) regression model was constructed to determine the predictors of vegetable technology adoption. The findings revealed that there are only a few youth members are implementing (8.47%) and adopting (4.24%) the vegetable technologies even if they have positively perceived the 4-H coordinator. The regression model revealed that youth members are more like to implement the vegetable technology if they have a higher income (p-value<0.1), they have no financial debt (p-value<0.01) and they learned from an effective 4-H coordinator (p-value<0.1). Furthermore, the ordered regression model revealed that youth members are going to implement (p-value<0.01) and adopt (p-value<0.01) the technology if it is not complex to follow. Conclusively, the local government must support the youth members regarding the financial aspect, and by providing expert agricultural extension agents to guide them in implementing and adopting the vegetable technologies. (shrink)

Recalling Thomas Nagel’s discussion concerning the difficulties associated with developing a scientific explanation for the nature of experience, Nagel states that current reductionist attempts fail by filtering out any basis for consciousness and thus become meaningless since they are logically compatible with its absence. In this article we call into question the fundamental philosophy of the mind-brain identity hypothesis of Cognitive Theory: ‘What processes in the brain give rise to awareness?’ and the associated search for ‘neural correlates of consciousness’ (NCC). (...) The proper scientific manner of posing the query should simply be ‘What processes give rise to awareness?’. We begin to formalize the Eccles psychon and summarize one of fourteen empirical protocols to test this putative model. This requires a new science of Unified Field, UF Mechanics, entailing in terms of our current stage of development operationally completed forms of quantum theory, gravitation and cosmology arising from a unique derivation of the M-Theory (string theoretic) vacuum. Until now the quest for psychophysical bridging has typically been in the arena between brain and quantum geometry; and many have wondered if contemporary science is sufficient for the task. Nagel further asks ‘what would be left if one removed the viewpoint of the subjective observer’ and then suggests ‘that the remaining properties would be the physical processes themselves or states intrinsic to the experience of awareness’. We examine a new theoretical framework for introducing and experimentally testing the underlying physical cosmology of these noetic parameters. (shrink)

Increasing globalisation of workforce has resulted into a large population of expatriate workers who engage in temporary work outside their home country. Along with monetary benefits, expatriate assignment is closely associated with a number of challenges which influence adjustment of an expatriate in a foreign country. This paper presents an expatriate adjustment model derived from review of research papers published on expatriate adjustment in the last two decades. Later section of this paper presents major internal and external expatriate support factors. (...) The paper concludes with suggestion of a multilevel action plan at organisational level to support expatriate adjustment. (shrink)

What role does the concept of naturalness play in the development of scientific knowledge and understanding? Whether naturalness is taken to be an ontological dimension of the world or a cognitive dimension of our human perspective within it, assumptions of naturalness seem to frame both concepts and practices that inform the partitioning of parts and the kinding of kinds. Within the natural sciences, knowledge of what something is as well as how it is studied rely on conceptual commitments. These conceptual (...) commitments shape how entities and processes are categorized _as_ natural depending on how naturalness has been understood within that discipline. In this paper, I explore how commitments to naturalness shape different conceptualizations of what were previously and what are now considered to be fundamental parts in plant morphology. Relying on an historically informed epistemological approach, I trace the origins and development of models of plant morphology from (1) Goethe’s classical LEAF-ROOT-STEM archetype model; (2) Agnes Arber’s revisions to Goethe’s model reconceived in her partial-shoot theory of the leaf; and (3) Rolf Sattler’s proposal for a processual model of plant morphology. These influential models posit ontologically and epistemologically inconsistent conceptualizations of the natural fundamental parts of plants and how they are related to each other. To explain what this inconsistency means for the concept of naturalness and the role it plays in plant morphology, I suggest naturalness might best be conceived of as a contextually bound classificatory concept that is made and remade through its operationalized use within a model, theory, set of practices, or discipline. (shrink)

The Fully Bayesian Significance Test (FBST) is a coherent Bayesian significance test for sharp hypotheses. This paper proposes the FBST as a model selection tool for general mixture models, and compares its performance with Mclust, a model-based clustering software. The FBST robust performance strongly encourages further developments and investigations.

The article evaluates the Domain Postulate of the Classical Model of Science and the related Aristotelian prohibition rule on kind-crossing as interpretative tools in the history of the development of mathematics into a general science of quantities. Special reference is made to Proclus’ commentary to Euclid’s first book of Elements , to the sixteenth century translations of Euclid’s work into Latin and to the works of Stevin, Wallis, Viète and Descartes. The prohibition rule on kind-crossing formulated by Aristotle in Posterior (...) analytics is used to distinguish between conceptions that share the same name but are substantively different: for example the search for a broader genus including all mathematical objects; the search for a common character of different species of mathematical objects; and the effort to treat magnitudes as numbers. (shrink)

Most forms of human papillomavirus can create alterations on a woman's cervix that can lead to cervical cancer in the long run, while others can produce genital or epidermal tumors. Cervical cancer is a leading cause of morbidity and mortality among women in low- and middle-income countries. The prediction of cervical cancer still remains an open challenge as there are several risk factors affecting the cervix of the women. By considering the above, the cervical cancer risk factor dataset from KAGGLE (...) data warehouse is executed for predicting the cervical cancer risk classes. The cervical cancer data set is normalised with incomplete data and Pattern Calibration. Secondly, the interpretive data analysis is carried out, and the target feature's dispersion of the cervical cancer risk is visualised. Thirdly, several classifiers are fitted to the unprocessed data set, and the performance is measured with pre and post feature scaling. Fourth, oversampling methodologies are applied to the pre - processed data set. Fifth, the oversampled dataset by differment methods are applied to all the classifiers and the performance is compared with pre and post feature scaling. Sixth, Precision, recall, Fscore, accuracy, and running time are some of the metrics used in performance analysis. The code is written in Python and executed with Anaconda Navigator on the Spyder framework. The findings of the experiments reveal that the Random forest classifier tends to sustain 96% accuracy pre and post scaling for unporocessed dataset. Similarly the same classifier tends to sustain 98% accuracy for all the oversampling techniques. (shrink)

Buddhism originated and developed in an Indian cultural context that featured many first-person practices for producing and exploring states of consciousness through the systematic training of attention. In contrast, the dominant methods of investigating the mind in Western cognitive science have emphasized third-person observation of the brain and behavior. In this chapter, we explore how these two different projects might prove mutually beneficial. We lay the groundwork for a cross-cultural cognitive science by using one traditional Buddhist model of the (...) mind – that of the five aggregates – as a lens for examining contemporary cognitive science conceptions of consciousness. (shrink)