This study aims to identify social media and its relation with depression and how social media affects the mental health of individuals. The general Pakistani public who have attended college and are well educated is the study's target population. This research is based on a quantitative technique. A modified questionnaire was used in accordance with the study's objectives. The data was collected using Google forms. Five-point likert scales were preferred for the data collection when convenience sampling was used. The five-point (...) Likert scale served as the foundation for the survey. The ADANCO software was used to carry out the testing. These tests include the convergent validity, discriminant validity, and Cronbach's alpha reliability and validity tests. ADANCO has been used to measure the path coefficient, adjusted (R2), and coefficient of determination (R2). The confined areas for answers in Pakistan were the main focus of this investigation. The sample size for this study is small relative to the population because it was completed in a short time. The findings of this study show that social media can eventually lead to depression. In this study, the elements that affect mental health by excessive use of social media were examined. Numerous studies have been conducted on the detection of depression by the use of social media through bagging classifiers. We have collected data on the detection of depression through bagging classifiers and have added it to our literature review. (shrink)

It is crucial to actively detect the risks of transactions in a financial company to improve customer experience and minimize financial loss. In this study, we compare different machine learning algorithms to effectively and efficiently predict the legitimacy of financial transactions. The algorithms used in this study were: MLP Repressor, Random Forest Classifier, Complement NB, MLP Classifier, Gaussian NB, Bernoulli NB, LGBM Classifier, Ada Boost Classifier, K Neighbors Classifier, Logistic Regression, Bagging Classifier, Decision Tree Classifier and Deep Learning. The (...) dataset was collected from Kaggle depository. It consists of 6362620 rows and 10 columns. The best classifier with unbalanced dataset was the Random Forest Classifier. The Accuracy 99.97%, precession 99.96%, Recall 99.97% and the F1-score 99.96%. However, the best classifier with balanced dataset was the Bagging Classifier. The Accuracy 99.96%, precession 99.95%, Recall 99.98% and the F1-score 99.96%. (shrink)

Abstract: Heart diseases are increasing daily at a rapid rate and it is alarming and vital to predict heart diseases early. The diagnosis of heart diseases is a challenging task i.e. it must be done accurately and proficiently. The aim of this study is to determine which patient is more likely to have heart disease based on a number of medical features. We organized a heart disease prediction model to identify whether the person is likely to be diagnosed with a (...) heart disease or not using the medical features of the person. We used many different algorithms of machine learning such as Gaussian Mixture, Nearest Centroid, MultinomialNB, Logistic RegressionCV, Linear SVC, Linear Discriminant Analysis, SGD Classifier, Extra Tree Classifier, Calibrated ClassifierCV, Quadratic Discriminant Analysis, GaussianNB, Random Forest Classifier, ComplementNB, MLP Classifier, BernoulliNB, Bagging Classifier, LGBM Classifier, Ada Boost Classifier, K Neighbors Classifier, Logistic Regression, Gradient Boosting Classifier, Decision Tree Classifier, and Deep Learning to predict and classify the patient with heart disease. A quite helpful approach was used to regulate how the model can be used to improve the accuracy of prediction of heart diseases in any person. The strength of the proposed model was very satisfying and was able to predict evidence of having a heart disease in a particular person by using Deep Learning and Random Forest Classifier which showed a good accuracy in comparison to the other used classifiers. The proposed heart disease prediction model will enhances medical care and reduces the cost. This study gives us significant knowledge that can help us predict the person with heart disease. The dataset was collected from Kaggle depository and the model is implemented using python. (shrink)

A fruitful way to approach The Idea of Phenomenology is through Husserl’s claim that consciousness is not a bag, box, or any other kind of container. The bag conception, which dominated much of modern philosophy, is rooted in the idea that philosophy is restricted to investigating only what is really immanent to consciousness, such as acts and sensory contents. On this view, what Husserl called the riddle of transcendence can never be solved. The phenomenological reduction, as Husserl develops it in (...) The Idea of Phenomenology, opened up a new and broader sense of immanence that embraces the transcendent, making it possible both to solve the riddle and to escape the bag conception once and for all. The essay will discuss ways in which this new conception of immanence is tied to the key Husserlian themes of appearance, phenomenon, essence, seeing or intuiting, and constitution. (shrink)

In this volume, leading philosophers of psychiatry examine psychiatric classification systems, including the Diagnostic and Statistical Manual of Mental Disorders, asking whether current systems are sufficient for effective diagnosis, treatment, and research. Doing so, they take up the question of whether mental disorders are natural kinds, grounded in something in the outside world. Psychiatric categories based on natural kinds should group phenomena in such a way that they are subject to the same type of causal explanations and respond similarly to (...) the same type of causal interventions. When these categories do not evince such groupings, there is reason to revise existing classifications. The contributors all question current psychiatric classifications systems and the assumptions on which they are based. They differ, however, as to why and to what extent the categories are inadequate and how to address the problem. Topics discussed include taxometric methods for identifying natural kinds, the error and bias inherent in DSM categories, and the complexities involved in classifying such specific mental disorders as "oppositional defiance disorder" and pathological gambling. -/- Contributors George Graham, Nick Haslam, Allan Horwitz, Harold Kincaid, Dominic Murphy, Jeffrey Poland, Nancy Nyquist Potter, Don Ross, Dan Stein, Jacqueline Sullivan, Serife Tekin, Peter Zachar. (shrink)

The aim of this paper is to propose a systematic classification of emotions which can also characterize their nature. The first challenge we address is the submission of clear criteria for a theory of emotions that determine which mental phenomena are emotions and which are not. We suggest that emotions as a subclass of mental states are determined by their functional roles. The second and main challenge is the presentation of a classification and theory of emotions that can account for (...) all existing varieties. We argue that we must classify emotions according to four developmental stages: 1. pre-emotions as unfocussed expressive emotion states, 2. basic emotions, 3. primary cognitive emotions, and 4. secondary cognitive emotions. We suggest four types of basic emotions (fear, anger, joy and sadness) which are systematically differentiated into a diversity of more complex emotions during emotional development. The classification distinguishes between basic and non-basic emotions and our multi-factorial account considers cognitive, experiential, physiological and behavioral parameters as relevant for constituting an emotion. However, each emotion type is constituted by a typical pattern according to which some features may be more significant than others. Emotions differ strongly where these patterns of features are concerned, while their essential functional roles are the same. We argue that emotions form a unified ontological category that is coherent and can be well defined by their characteristic functional roles. Our account of emotions is supported by data from developmental psychology, neurobiology, evolutionary biology and sociology. (shrink)

This article examines the distinction between active matter and active materials, and it offers foundational remarks toward a system of classification for active materials. Active matter is typically identified as matter that exhibits two characteristic features: self-propelling parts, and coherent dynamical activity among the parts. These features are exhibited across a wide range of organic and inorganic materials, and they are jointly sufficient for classifying matter as active. Recently, the term “active materials” has entered scientific use as a complement, supplement, (...) and extension of “active matter.” At the same time, new work in the philosophy of science has considered the problem of how to classify the products of synthetic and laboratory processes, and the extent to which the aims of classifying natural kinds compare and contrasts with the aims of classifying these synthetic kinds. In this article, I apply those considerations to the problems of classifying and characterizing active materials. In doing so, I also argue for a conception of active materials’ coherent dynamical activity as multiscale, rather than emergent, and I discuss how the special non-equilibrium status of active materials factors in to classificatory concerns. (shrink)

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)

Single-use plastic (SUP) bags at supermarkets have detrimentally exacerbated the plastic waste and dump in landfills. Reusable shopping bags are a feasible solution to alleviate plastic production and consumption, particularly in an emerging economy. The study examined the intention to use reusable shopping bags instead of SUP bags, driven by personal norms and planning behavior. Bayesian Mindsponge Framework (BMF) analysis was employed on a dataset of 536 Vietnamese consumers. The study found that instead of obligation, voluntary contribution to reduce plastic (...) bag pollutant is predominant. Findings also indicate that enhancing public awareness and knowledge regarding environmental protection is significantly important. Some demographic characteristics, such as age, education, members in household, and incomes also moderate the relationship between driving factors and intentions. Finally, this study prescribes some policy implications and practical solutions to reduce and gradually restrict SUP in Vietnam. (shrink)

We begin by describing recent developments in the burgeoning discipline of applied ontology, focusing especially on the ways ontologies are providing a means for the consistent representation of scientific data. We then introduce Basic Formal Ontology (BFO), a top-level ontology that is serving as domain-neutral framework for the development of lower level ontologies in many specialist disciplines, above all in biology and medicine. BFO is a bicategorial ontology, embracing both three-dimensionalist (continuant) and four-dimensionalist (occurrent) perspectives within a single framework. We (...) examine how BFO-conformant domain ontologies can deal with the consistent representation of scientific data deriving from the measurement of processes of different types, and we outline on this basis the first steps of an approach to the classification of such processes within the BFO framework. (shrink)

Aristotle, in Chapter 7 of his Categories, classifies habits and dispositions, as well as knowledge, among relatives. However, in Chapter 8 of the Categories, he affirms that habits, including knowledge, and dispositions, including unstable knowledge, are qualities. Thus, habits and dispositions in general, and knowledge in particular, seem to be subject to a ‘dual categorization’. At the end of Chapter 8 of the treatise, the issue of the dual categorization is explicitly raised. How can one and the same thing be (...) a quality and a relative? Aristotle gives two distinct solutions to this problem. Both have been criticized by some modern commentators : these solutions would amount to a rejection of the basic principles of the categorial system and, as such, to a sort of philosophical suicide. However, Aristotle’s early commentators, notably the Greek Neoplatonists and Boethius, made attempts to render both solutions plausible and compatible with the rest of the doctrine. Their attempts are not only of exegetical interest, they also contain some significant philosophical analyses concerning the categories. In what follows, I will present the abovementioned problem of dual categorization in Aristotle and the two solutions offered to it in Categories, 8, 11a20-38. I will then turn to the early reception of this text, and focus on the way the Greek Neoplatonists and Boethius tried to make Aristotle’s solutions more plausible. Throughout, I will try to establish in what sense habits and dispositions in general, and knowledge in particular, are relative. I will conclude with some remarks on the later reception of Categories, 8, 11a20-38 and on the problem of the ontological status of mental acts and states. (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)

This paper argues that we should replace the common classification of theories of welfare into the categories of hedonism, desire theories, and objective list theories. The tripartite classification is objectionable because it is unduly narrow and it is confusing: it excludes theories of welfare that are worthy of discussion, and it obscures important distinctions. In its place, the paper proposes two independent classifications corresponding to a distinction emphasised by Roger Crisp: a four-category classification of enumerative theories (about which items constitute (...) welfare), and a four-category classification of explanatory theories (about why these items constitute welfare). (shrink)

Basic Formal Ontology was created in 2002 as an upper-level ontology to support the creation of consistent lower-level ontologies, initially in the subdomains of biomedical research, now also in other areas, including defense and security. BFO is currently undergoing revisions in preparation for the release of BFO version 2.0. We summarize some of the proposed revisions in what follows, focusing on BFO’s treatment of material entities, and specifically of the category object.

The advent of virtual currencies such as bitcoin raises a pressing question for lawmakers, regulators, and judges: should bitcoin and other virtual currencies be classified as money or currency for legal and regulatory purposes? I examine two different approaches to answering this question—a descriptive approach and a normative approach. The descriptive approach says that bitcoin and other virtual currencies should be classified as money or currency just in case they really are money or currency, whereas the normative approach says that (...) this question of classification should be answered on the basis of substantive normative considerations. I argue against the descriptive approach and in favor of the normative approach. (shrink)

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)

The most important voices concerning the changes now occurring in Central and Eastem Europe are those that come from within, for those voices are informed not only by indifferent data and objective reports, but by personal hopes, fears, desires and needs. Without careful consideration of what such voices say, judgment can only be sterile. Furthermore, policy decisions made without the benefit of the intemal perspective are likely to be flawed, and ineffectual. Policies won’t work if they do not take into (...) account the point of view of those who are supposed to be affected by them. There nevertheless remains an important role for outsiders to play in the discussion of the impact of political change on the future of philosophical thought, especially if the outside perspective can serve as a test of the internal view. (shrink)

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)

A novel advantage of the use of machine learning (ML) systems in medicine is their potential to continue learning from new data after implementation in clinical practice. To date, considerations of the ethical questions raised by the design and use of adaptive machine learning systems in medicine have, for the most part, been confined to discussion of the so-called “update problem,” which concerns how regulators should approach systems whose performance and parameters continue to change even after they have received regulatory (...) approval. In this paper, we draw attention to a prior ethical question: whether the continuous learning that will occur in such systems after their initial deployment should be classified, and regulated, as medical research? We argue that there is a strong prima facie case that the use of continuous learning in medical ML systems should be categorized, and regulated, as research and that individuals whose treatment involves such systems should be treated as research subjects. (shrink)

This paper presents a systematic approach for analyzing and explaining the nature of social groups. I argue against prominent views that attempt to unify all social groups or to divide them into simple typologies. Instead I argue that social groups are enormously diverse, but show how we can investigate their natures nonetheless. I analyze social groups from a bottom-up perspective, constructing profiles of the metaphysical features of groups of specific kinds. We can characterize any given kind of social group with (...) four complementary profiles: its “construction” profile, its “extra essentials” profile, its “anchor” profile, and its “accident” profile. Together these provide a framework for understanding the nature of groups, help classify and categorize groups, and shed light on group agency. (shrink)

The purpose of this paper is to contribute to the ongoing analyses that aim to confront the problem of marked variation. Negatively marked differences are those natural variations that are used to cleave human beings into different categories (e.g., of disablement, of medicalized pathology, of subnormalcy, or of deviance). The problem of marked variation is: Why are some rather than other variations marked as epistemically or culturally significant or as a diagnostic of pathology, and What is the epistemic background that (...) makes these—rather than other variations—marked as subnormal? For Wilson (2018a), critical examination of the problem of marked variation is central to understanding the epistemology of medicalized pathology that made the history of eugenics possible. My aim is to explore the role marked variation plays in eugenic and other problematic classifications and the inferences they appear to license. I pay particular attention to the normative valuations of marked variations, how these valuations affect the inferences that are made by others about those possessing the variation, and how those possessing the variation perceive themselves. In the final sections, I illustrate this by critically discussing three putative kinship conceptions of race. I rely on these to extend the scope of the puzzle of marked variation from the context of historic and current markings of an individual’s variation as disability in the eugenics movement to historic and current markings for assigning putative racial ascriptions to individuals and groups. Lastly, I suggest that the problem of marked variation is a problem that looms over any epistemic account that is dependent upon sorting or classifying. (shrink)

This article makes three claims concerning the concept of contingency. First, we argue that the word contingency is used in far too many ways to be useful. Its many meanings are detrimental to clarity of discussion and thought in history and the social sciences. We show how there are eight distinct uses of the word and illustrate this with numerous examples from the social sciences and history, highlighting the scope for confusion caused by the many, often contradictory uses of the (...) term. Second, we impose some order on these uses through developing a threefold classification of contingency based on assumptions about possible worlds and determinism. Finally, we discuss why we believe that one of the classes is a special use of the word without relevance to the social sciences, while the two remaining classes are nothing more than a variety of the “no hidden factors” argument in the debate on indeterminism and determinism. (shrink)

Embodied cognitive theories predict that linguistic conceptual representations are grounded and continually represented in real world, sensorimotor experiences. However, there is an on-going debate on whether this also holds for abstract concepts. Grammar is the archetype of abstract knowledge, and therefore constitutes a test case against embodied theories of language representation. Former studies have largely focussed on lexical-level embodied representations. In the present study we take the grounding-by-modality idea a step further by using reaction time (RT) data from the linguistic (...) processing of nominal classifiers in Chinese. We take advantage of an independent body of research, which shows that attention in hand space is biased. Specifically, objects near the hand consistently yield shorter RTs as a function of readiness for action on graspable objects within reaching space, and the same biased attention inhibits attentional disengagement. We predicted that this attention bias would equally apply to the graspable object classifier but not to the big object classifier. Chinese speakers (N = 22) judged grammatical congruency of classifier-noun combinations in two conditions: graspable object classifier and big object classifier. We found that RTs for the graspable object classifier were significantly faster in congruent combinations, and significantly slower in incongruent combinations, than the big object classifier. There was no main effect on grammatical violations, but rather an interaction effect of classifier type. Thus, we demonstrate here grammatical category- specific effects pertaining to the semantic content and by extension the visual and tactile modality of acquisition underlying the acquisition of these categories. We conclude that abstract grammatical categories are subjected to the same mechanisms as general cognitive and neurophysiological processes and may therefore be grounded. (shrink)

An impressive variety of new forms of money has aroused in recent decades from various groups of people and various kinds of institutions. These currencies are at the heart of intense debates, which raise important, but often neglected, normative issues. The diversity of their goals, uses and charac-teristics is so large that it makes some preliminary distinctions necessary. This paper aims at provid-ing a proper background for the discussion of the possible merits and drawbacks of different kinds of currencies. It (...) proposes a classification that demarcates currencies according to how they relate to several crucial normative issues. Its aim is to show, for every type of currency, and as unambiguously as possible, to which side of these controversies it lies. (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)

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)

I leave the work I’ve done to classify all UKLO questions below, with the latest appendices for historical record. From my recollection, this was the first complete system to classify all UKLO questions. Attempts at classifying UKLO questions before accounted for some questions but not others, leaving some questions unclassified. The classifications then were more labelling rather than a systemic approach that applied to all questions. As a result, this made it difficult for competitors and test development to find the (...) questions they were looking for by subject area, and to find related questions. There was a need to provide an organised and clean system to classify not just some but all the questions in order to establish fundamental classification data, basic statistics, and enhanced usability for test development and competitors. The system is provided below and was displayed on the website under technical information. I’ve decided to leave the system unedited with further commentary and general thoughts about mistakes made, analysis of the scope of UKLO questions, and future projections. Further improvements are being made to the classification system for a greater user experience, but so far the system has been a huge success and is fully working and operational. (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.

The chromodielectric soliton model is Lorentz and chirally invariant. It has been demonstrated to exhibit dynamical chiral symmetry breaking and spatial confinement in the locally uniform approximation. We here study the full nonlocal quark self-energy in a color-dielectric medium modeled by a two-parameter Fermi function. Here color confinement is manifest. The self-energy thus obtained is used to calculate quark wave functions in the medium which, in turn, are used to calculate the nucleon and pion masses in the one-gluon-exchange approximation. The (...) nucleon mass is fixed to its empirical value using scaling arguments; the pion mass (for massless current quarks) turns out to be small but nonzero, depending on the model parameters. (shrink)

The text discusses Linnaeus’ binominal classification and the idea of mathesis unversalis of Leibniz in the ground of Michel Foucault’s conception of ‘epistema’ as well the connexion of XVIII century’s representation of universal order with viewpoints of Descartes (Rules for the Direction of the Mind) and Kant (The Critique of Pure Reason, The Critique of (the Power of) Judgment).

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)

The assumption that natural selection alone is sufficient to explain not only which traits get fixed in a population/species, but also how they develop, has been questioned since Darwin’s times, and increasingly in the last decades. Alternative theories, linked to genetic and phenotypic processes, or to the theory of complex systems, have been proposed to explain the rise of the phenotypic variety upon which natural selection acts. In this article, we illustrate the current state of the issue and we propose (...) a logical space based on phenotypic robustness that allows a classification of evolutionary phenomena and can provide a framework for unifying all these accounts. (shrink)

Disciplinary issues -- Field studies -- Appendix: Theory of law : legal ethnography, or, the theoretical fruits of the inquiries into folkways. /// Reedition of papers in English spanning from 1995 to 2008 /// DISCIPLINARY ISSUES -- LAW AS CULTURE? [2002] 9–14 // TRENDS IN COMPARATIVE LEGAL STUDIES [2002] 15–17 // COMPARATIVE LEGAL CULTURES: ATTEMPTS AT CONCEPTUALISATION [1997] 19–28: 1. Legal Culture in a Cultural-anthropological Approach 19 / 2. Legal Culture in a Sociological Approach 21 / 3. Timely Issues of (...) Central and Eastern Europe 24 // COMPARATIVE LEGAL CULTURES? [2001] 29–48: 1. Legal Comparativism Challenged 29 / 2. Comparative Legal Cultures versus Comparative Law 34 / 3. Contrasting Fields 40 [a) The Historical Understanding of Socialist Law 42 / b) Convergence of Civil Law and Common Law 44] 4. Concluding Remarks 46 // THEATRUM LEGALE MUNDI: ON LEGAL SYSTEMS CLASSIFIED [2005] 49–75: 1. Preliminaries 49 / 2. Proposals 50 / 3. Impossible Taxonomy, or the Moment of Practicality in Legal Mapping 69 / 4. Diversity as a Fundamental Quality of Human Existence 74 // LEGAL TRADITIONS? IN SEARCH FOR FAMILIES AND CULTURES IN LAW [2004] 77–97: 1. Comparative Law and the Comparative Study of Legal Traditions 78 / 2. ‘System’, ‘Family’, ‘Culture’, and ‘Tradition’ in the Classification of Law 80 / 3. Different Traditions, Differing Ways of Thinking 85 / 4. Different Expectations, Differings Institutionalisations in Law 88 / 5. Different “Rationalities”, Differing “Logics” 92 / 6. Mentality in Foundation of the Law 94 / 7. Defining a Subject for Theoretical Research in Law 96 // SOMETHING NEW, SOMETHING OLD IN THE EUROPEAN IDENTITY OF LAW? [1995] 99–102 --- FIELD STUDIES -- MEETING POINTS BETWEEN THE TRADITIONS OF ENGLISH–AMERICAN COMMON LAW AND CONTINENTAL-FRENCH CIVIL LAW: DEVELOPMENTS AND EXPERIENCE OF POSTMODERNITY IN CANADA [2002] 105–130: I. Canadian Law in General 105 / II. Canadian Legal Developments in Particular [1. The Transformation of the Role of Precedents 112 / 2. The Transformation of Law-application into a Collective, Multicultural and Multifactorial Search for a Solution 116 / 3. Practical Trends of Dissolving the Law’s Positivity 120 / 4. New Prerogatives Acquired by Courts 125 {a) Unfolding the Statutory Provisons in Principles 126 / b) Constitutionalisation of Issues 127 / c) The Supreme Court as the Nation’s Supreme Moral Authority 129}] // MAN ELEVATING HIMSELF? DILEMMAS OF RATIONALITY IN OUR AGE [2000] 131–163: I. Reason and its Adventures 1. Progress and Advance Questioned 131 / 2. The Human Search for Safety Objectified 133 / 3. Knowledge Separated from Wisdom 135 / 4. Pure Intellectuality thereby Born 137 / II. The Will-Element Formalised in Law 5. Mere Voluntas in the Foundation of Legal Positivism 141 / 6. Formalism with Operations Fragmented 145 / III. The State of America Exemplified 7. “Slouching into Gomorrah” 147 / IV. Consequences 8. Utopianism-cum-Voluntarism 154 / 9. With Logic in Posterior Control of Human Formulations Only 159 / V. Perspectives 10. And a Final Resolution Dreamed about 161 // RULE OF LAW? MANIA OF LAW? ON THE BOUNDARY BETWEEN RATIONALITY AND ANARCHY IN AMERICA [2002] 165–180: {Transformation of American Law and Legal Mentality 165 / With Repercussions on the Underlying Ethos 168 / Legislation through Processualisation 170 / With Hyperrationalism Added 172 / Example: Finding Lost Property 172 / Practicalness Veiled by Verbal Magic 173 / Ending in Jurispathy 175 / Transubstantiating the Self-interest of the Legal Profession 178 / Post-modernity, Substituting for Primitiveness 178} // TRANSFERS OF LAW: A CONCEPTUAL ANALYSIS [2003] 181–207: 1. Terms 182 / 2. Technicality 190 / 3. Contrasts in Transfers of Law 200 {Contrasts 200 / Criticisms 202 / Alternatives205} 4. Conclusions 206 // THE DANGERS FOR THE SELF OF BEING SELF-CENTRED: ON STANDARDS AND VALUES [2002] 209–212 --- APPENDIX -- THEORY OF LAW – LEGAL ETHNOGRAPHY, OR THE THEORETICAL FRUITS OF THE INQUIRIES INTO FOLKWAYS [2008] 213–234 1. Encounters 213 / 2. Disciplines 218 / 3. The Lawyerly Interest 223 / 4. Law and/or Laws 226 / 5. Conclusion 233 --- Index of Subjects 235 / Index of Normative Materials 242 / Index 244 . (shrink)

Abstract— In this study, a proposed faces recognition methodology based on the neural micro-classifier network. The proposed methodology uses simple well known feature extraction methodology. The feature extraction used is the discrete cosine transformation low frequencies coefficients. The micro-classifier network is a deterministic four layers neural network, the four layers are: input, micro-classifier, counter, and output. The network provide confidence factor, and proper generalization is guaranteed. Also, the network allows incremental learning, and more natural than others. The proposed face recognition (...) methodology was tested using the standard ORL data set. The experimental results of the methodology showed comparative performance. (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)

Abstract: Alzheimer's disease (AD) is one of the most common types of dementia. Symptoms appear gradually and end with severe brain damage. People with Alzheimer's disease lose the abilities of knowledge, memory, language and learning. Recently, the classification and diagnosis of diseases using deep learning has emerged as an active topic covering a wide range of applications. This paper proposes examining abnormalities in brain structures and detecting cases of Alzheimer's disease especially in the early stages, using features derived from medical (...) images. The entire brain image was passed on through the transmission of Xception learning architectures. The Convolutional Neural Network (CNN) was constructed with the help of separable convolution layers that It can automatically learn general features from imaging data for classification. (shrink)

In contemporary healthcare, medical image categorization is essential for illness prediction, diagnosis, and therapy planning. The emergence of digital imaging technology has led to a significant increase in research into the use of machine learning (ML) techniques for the categorization of images in medical data. We provide a thorough summary of recent developments in this area in this review, using knowledge from the most recent research and cutting-edge methods.We begin by discussing the unique challenges and opportunities associated with medical image (...) classification, including the complexity of anatomical structures, variability in imaging modalities, and the need for interpretability and reliability in clinical settings. Subsequently, we survey a wide range of ML algorithms and techniques employed for medical image classification, including traditional methods such as support vector machines and k-nearest neighbors, as well as deep learning approaches like convolutional neural networks (CNNs) and recurrent neural networks (RNNs). Furthermore, we examine key considerations in dataset preparation, feature extraction, and model evaluation specific to medical image classification tasks. We highlight the importance of large, annotated datasets, transfer learning, and data augmentation techniques in enhancing model performance and generalization. (shrink)

Natural Categories and Human Kinds is a recent and timely contribution to current debate on natural kinds. Because of the growing sophistication of this debate, it is necessary to make careful distinctions in order to appreciate the originality of Khalidi’s position. Khalidi’s view on natural kinds is naturalistic: if we want to know what Nature’s joints really are, we should look at the actual carving job carried out by our best scientific practices. Like LaPorte, Khalidi is a fallibilist: our best (...) scientific theories may be revised or abandoned and so can our current classifications of natural kinds. Unlike LaPorte, however, Khalidi is an anti-essentialist: he argues against the idea that membership in a natural kind is a matter of possessing an essential set of necessary and sufficient properties. Like Dupré, Khalidi is a pluralist and anti-reductionist: he does not believe that there is only one true classification system and that there are natural kinds only at the so-called "fundamental level" of microphysics. Khalidi develops his pluralistic and anti-reductionistic position on the basis of a deep appreciation for the special sciences but, unlike Dupré, he thinks that only the scientific inquiry, which is driven by epistemic purposes, discover natural kinds and that, therefore, there are important differences between scientific and folk classifications. Khalidi’s conception of natural kinds has both an epistemic and a metaphysical component. (shrink)

ABSTRACT: I argue that Sellars’s metaconceptual theory of the categories exemplifies and extends a long line of nominalistic thinking about the nature of the categories from Ockham and Kant to the Tractatus and Carnap, and that this theory is far more central than has generally been realized to each of Sellars’s most famous and enduring philosophical conceptions: the myth of the given, the logical space of reasons, and resolving the ostensible clash between the manifest and scientific images of the human (...) being in the world. Sellars’s distinctive contribution to this longstanding (if currently on the defensive) metaconceptual approach to the nature of ontological categories was to interpret and reconstruct it in terms of his own ‘meaning as use’ or norm-governed inferential role semantics. With these resources Sellars sought to preserve the genuine insights in the ‘realist’ or broadly platonic traditions while simultaneously defending the idea that in the end, as he puts it, “a naturalistic ontology must be a nominalistic ontology” (1980a NAO IV §129). (shrink)

Phishing is one of the most effective ways in which cybercriminals get sensitive details such as credentials for online banking, digital wallets, state secrets, and many more from potential victims. They do this by spamming users with malicious URLs with the sole purpose of tricking them into divulging sensitive information which is later used for various cybercrimes. In this research, we did a comprehensive review of current state-of-the-art machine learning and deep learning phishing detection techniques to expose their vulnerabilities and (...) future research direction. For better analysis and observation, we split machine learning techniques into Bayesian, non-Bayesian, and deep learning. We reviewed the most recent advances in Bayesian and non-Bayesian-based classifiers before exploiting their cor- responding weaknesses to indicate future research direction. While exploiting weaknesses in both Bayesian and non-Bayesian classifiers, we also compared each performance with a deep learning classifier. For a proper review of deep learning-based classifiers, we looked at Recurrent Neural Networks (RNN), Convolutional Neural Networks (CNN), and Long Short Term Memory Networks (LSTMs). We did an empirical analysis to evaluate the performance of each classifier along with many of the proposed state-of-the-art anti-phishing techniques to identify future research directions, we also made a series of proposals on how the performance of the under-performing algorithm can improved in addition to a two-stage prediction model. (shrink)

What is wrong with government whistleblowing and when can it be justified? In my view, ‘government whistleblowing’, i.e., the unauthorized acquisition and disclosure of classified information about the state or government, is a form of ‘political vigilantism’, which involves transgressing the boundaries around state secrets, for the purpose of challenging the allocation or use of power. It may nonetheless be justified when it is suitably constrained and exposes some information that the public ought to know and deliberate about. Government whistleblowing (...) should then be viewed, along the lines of civil disobedience, as a collective cognition- and legitimacy-enhancing device. (shrink)

Bayesian classifiers perform well when each of the features is completely independent of the other which is not always valid in real world applications. The aim of this study is to implement and compare the performances of each variant of the Bayesian classifier (Multinomial, Bernoulli, and Gaussian) on anomaly detection in network intrusion, and to investigate whether there is any association between each variant’s assumption and their performance. Our investigation showed that each variant of the Bayesian algorithm blindly follows (...) its assumption regardless of feature property, and that the assumption is the single most important factor that influences their accuracy. Experimental results show that Bernoulli has accuracy of 69.9% test (71% train), Multinomial has accuracy of 31.2% test (31.2% train), while Gaussian has an accuracy of 81.69% test (82.84% train). Going deeper, we investigated and found that each Naïve Bayes variants performances and accuracy is largely due to each classifier assumption, Gaussian classifier performed best on anomaly detection due to its assumption that features follow normal distributions which are continuous, while multinomial classifier have a dismal performance as it simply assumes discreet and multinomial distribution. (shrink)

The aim of the paper is the development of theoretical approaches and practical recommendations for the formation of a system to respond to the needs of consumers in the company that provides the service. Theoretical and methodological foundation work was to study and rethink works of Ukrainian and foreign scientists on improving marketing activities, services based on the formation of a system to respond to the needs of consumers. Based on systematic methods, structural analysis, causal analysis, synthesis and argumentation proposed (...) system respond to the needs of consumers in higher education (universities). The importance of formation of the system to respond to the needs of consumers for Ukrainian universities and determined its structural components; classified obstacles to implementation in Ukrainian university system to respond to the needs of consumers and the ways to overcome them; Chart systematization process designed event involving consumers and roadmap event (for example, of "Career Day"). (shrink)

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

Abstract: Classifying sea animals is an important problem in marine biology and ecology as it enables the accurate identification and monitoring of species populations, which is crucial for understanding and protecting marine ecosystems. This paper addresses the problem of classifying 19 different sea animals using convolutional neural networks (CNNs). The proposed solution is to use a pretrained MobileNetV2 model, which is a lightweight and efficient CNN architecture, and fine-tune it on a dataset of sea animals. The results of the study (...) show that the fine-tuned MobileNetV2 model is able to achieve an accuracy of 85% on the classification task, which is competitive with the state-of-the-art methods. Additionally, the study also found that data augmentation and regularization techniques such as dropout were important for preventing overfitting and improving the performance of the model. This study demonstrates the potential of using pretrained models and efficient CNN architectures for classifying sea animals, and it provides insights into the challenges and best practices for solving this important problem in marine biology and ecology. (shrink)

Waste polyethylene (PE) bags were reused in the modification of commercially available bitumen. The bitumen/PE blend was prepared by mixing homogenously commercial bitumen with waste PE in the molten state. The samples of bitumen blend and bitumen base were rheologically analyzied. The rheological properties such as complex modulus, shear compliance, torque and complex viscosity of bitumen and bitumen blend were studied using an ARES- Rheometer (Rheometric Scientific, Co.) in the dynamic mode, plate-plate geometry with diameter 8 mm. The measurements were (...) performed over a wide range of temperatures ranged from-10°C to 60°C and frequencies from 100 to 0.1 radians per second. The results evidence that the complex modulus, shear compliance, torque and viscosity are improved by the incorporation of the waste PE into bitumen. The flow activation energy for neat bitumen and bitumen-9%PE are calculated from 0 by using the rheometric software. (shrink)

A mixed bag dominated by H & D's reductionist nonsense. This is a follow-up to Hofstadter´s famous (or infamous as I would now say, considering its unrelenting nonsense) Godel, Escher, Bach (1980). Like its predecessor, it is concerned largely with the foundations of artificial intelligence, but it is composed mostly of stories, essays and extracts from a wide range of people, with a few essays by DH and DD and comments to all of the contributions by one or the other (...) of them. For my views on the attempts of D and H to understand behavior see my review of Hofstadter's ‘I am a Strange Loop’ and other writings. -/- Much of it is very reductionistic in tone (i.e., " explains " everything in terms of physics/math and denies " reality " of psychology) but as Hofstadter notes, the quantum field equations of a water molecule are too complex to solve (and so is a vacuum)and nobody has a clue about how to explain the way properties emerge (e.g., water properties from H2 and 02) as you go up the scale from the vacuum to the brain, so reductionism, like holism, requires a great deal of faith and in fact is incoherent as one cannot even frame it's arguments without presupposing the coherence of higher order thought. Additional problems for reductionism are the uncertainty principle, chaos (e.g., no way to predict how a pile of sand will fall), the logically necessary incompleteness of math (and all thought) and the impossibility of matching higher order behaviors (e.g., language) with lower order phenomena (e.g., biochemistry), i.e., the combinatorial explosion or underdetermination. In sum, though there are many interesting comments, like nearly all writing on behavior, this work lacks any coherent account of the logical structure of rationality, which I try to give in my writings. -/- Those wishing a comprehensive up to date framework for human behavior from the modern two systems view may consult my book ‘The Logical Structure of Philosophy, Psychology, Mind and Language in Ludwig Wittgenstein and John Searle’ 2nd ed (2019). Those interested in more of my writings may see ‘Talking Monkeys--Philosophy, Psychology, Science, Religion and Politics on a Doomed Planet--Articles and Reviews 2006-2019 3rd ed (2019) and Suicidal Utopian Delusions in the 21st Century 4th ed (2019) . (shrink)

I classify emotions in the family of regret, remorse, and so on, in such a way that it is easy to see how there can be further emotions in this family, for which we happened not to have names in English. I describe some of these emotions.