Modern biological classification is based on the system developed by Linnaeus, and interpreted by Darwin as representing the tree of life. But despite its widespread acceptance, the evolutionary interpretation has some problems and limitations. This comprehensive book provides a single resource for understanding all the main philosophical issues and controversies about biological classification. It surveys the history of biological classification from Aristotle to contemporary phylogenetics and shows how modern biological classification has developed and changed over time. (...) Readers will also be able to see how biological classification is in part a consequence of human psychology, language development and culture. The book will be valuable for student readers and others interested in a range of topics in philosophy and biology. (shrink)

Um bei einer Wertung der Faktoren, die das Wachstum einer Population beeinflussen, zu einer richtigen Einsicht zu gelangen, empfiehlt es sich, nicht den relativen Wert dieser Faktoren in Bezug auf die in Rede stehende Insektenpopulation auszudrücken, sondern ihre absolute Grösse in Faktoreinheiten zum Ausdruck zu bringen — wie: Wärme in Grad Celsius, Luftfeuchtigkeit in Prozenten, Zahl der im Bevölkerungsmilieu vorgefundenen Raubinsekten oder Parasiten. Auf dieser Grundlage liessen sich Faktoren in folgender Weise aufteilen: Faktoren ersten Grades : Allgemeine Faktoren : Unabhängige (...) Faktoren : nicht mechanische Klimaeinflüsse , chemische Faktoren, Güte der Nahrung. Abhängige Faktoren : die internen Faktoren, die bei einer Zunahme der Dichtigkeit einen Rückgang des Zuwachses bewirken, mit Ausnahme des Kannibalismus, ferner die Menge der Nahrung. Selektive Faktoren : Unabhängige Faktoren : unersättliche Faktoren : mechanische Klimaeinflüsse, weitere mechanische Faktoren, Parasiten und Raubfeinde, die nicht mit töten aufhören, wenn sie gesättigt sind, insofern ihre Bevölkerungsdichte nicht durch die des fraglichen Insektes bedingt wird. ersättliche Faktoren: restliche Raubinsekten und Parasiten, insofern ihre Bevölkerungsdichte nicht durch die des fraglichen Insektes bedingt wird. Abhängige Faktoren : Kannibalismus. Wandelbare Faktoren : Raubinsekten und Parasiten, welche diesem Erfordernis entsprechen, pathogene Pilze und Bakterien. Faktoren zweiten Ranges . Faktoren des dritten Ranges .Afin d'obtenir une notion exacte de la valeur des facteurs qui influencent la croissance d'une population, il vaudra mieux ne pas exprimer ces facteurs en leur valeur relative quant à la population d'insectes en question, mais en unités de facteurs: degrés Celsius, pourcentage de l'humidité de l'air, nombre d'ennemis ou de parasites qui sont présents dans le milieu de la population. Sur cette base on pourra répartir les facteurs de la façon suivante: Facteurs du 1er ordre : Facteurs généraux : influences climatiques non mécaniques , facteurs chimiques, qualité de la nourriture. Facteurs dépendants : les facteurs internes qui font de sorte que la densité de la population diminue quand se présente une plus forte densité, en exceptant le cannibalisme, la quantité de nourriture. Facteurs selectifs ; seule une partie des individus est exposée à leur action; les animaux touchés sont mécaniquement endommagés et, dans la règle, tués. Facteurs indépendants : facteurs insatiables : des influences climatiques mécaniques, d'autres facteurs mécaniques, des parasites et des ennemis qui ne s'arrêtent pas de tuer quand ils sont rassasiés, pour autant que l'intensité de la population de l'insecte en question. facteurs rassasiables: autres ennemis et parasites pour autant que l'intensité de leur population ne se modifie pas sous l'influence de la densité de la population de l'insecte en question. Facteurs indépendants : cannibalisme. Facteurs modifiables : ennemis et parasites qui satisfont à cette exigence, champignons pathogènes, bactéries. Facteurs du 2ième ordre . Facteurs du 3iéme ordre. (shrink)

Abstract: Potatoes are edible tubers, available worldwide and all year long. They are relatively cheap to grow, rich in nutrients, and they can make a delicious treat. The humble potato has fallen in popularity in recent years, due to the interest in low-carb foods. However, the fiber, vitamins, minerals, and phytochemicals it provides can help ward off disease and benefit human health. They are an important staple food in many countries around the world. There are an estimated 200 varieties of (...) potatoes, which can be classified into a number of categories based on the cooked texture and ingredient functionality. Using a public dataset of 2400 images of potatoes, we trained a deep convolutional neural network to identify 4 types (Red, Red Washed, Sweet, and White).The trained model achieved an accuracy of 99.5% of test set, demonstrating the feasibility of this approach. (shrink)

Stakeholder theory is widely accepted but elementary aspects remain indeterminate as the term ‘stakeholder’ is an essentially contested concept, being variously describable, internally complex and open in character. Such contestability is highly problematic for theory development and empirical testing. The extent of essential contestability, previously unknown, is demonstrated in this paper through a bounded systematic review of 593 different stakeholder theory definitions. As an essentially contested concept, the solution does not lie in a universal stakeholder definition, but in debating the (...) boundaries of stakeholder identification. To this end, this paper presents the first major attempt at sorting, filtering and ordering stakeholder theory and stakeholder definitions to produce a comprehensive, multi-dimensional classification of stakeholder theory. The constructs of the classification model juxtapose existing stakeholder theories and contributions from across the multi-contextual applications of stakeholder theory, thereby providing an invaluable overview of what we know about stakeholder theory in one model. The classification model is then tested with positive results. The paper concludes with a comprehensive discussion of the implications of classification stakeholder theory definitions, which has for future research. (shrink)

Brain tumor classification plays a niche role in medical prognosis and effective treatment process. We have proposed a combined feature and image-based classifier for brain tumor image classification in this study. Carious deep neural network and deep convolutional neural networks -based architectures are proposed for image classification, namely, actual image feature-based classifier, segmented image feature-based classifier, actual and segmented image feature-based classifier, actual image-based classifier, segmented image-based classifier, actual and segmented image-based classifier, and finally, CFIC. The Kaggle (...) Brain Tumor Detection 2020 dataset has been used to train and test the proposed classifiers. Among the various classifiers proposed, the CFIC performs better than all other proposed methods. The proposed CFIC method gives significantly better results in terms of sensitivity, specificity, and accuracy with 98.86, 97.14, and 98.97%, respectively, compared with the existing classification methods. (shrink)

Most clinical neurofeedback studies based on functional magnetic resonance imaging use the patient's own neural activity as feedback. The objective of this study was to create a subject-independent brain state classifier as part of a real-time fMRI neurofeedback system that can guide patients with depression in achieving a healthy brain state, and then to examine subsequent clinical changes. In a first step, a brain classifier based on a support vector machine was trained from the neural information of happy autobiographical imagery (...) and motor imagery blocks received from a healthy female participant during an MRI session. In the second step, 7 right-handed female patients with mild or moderate depressive symptoms were trained to match their own neural activity with the neural activity corresponding to the “happiness emotional brain state” of the healthy participant. The training was carried out using the rt-fMRI NF system guided by the brain-state classifier we had created. Thus, the informative voxels previously obtained in the first step, using SVM classification and Effect Mapping, were used to classify the Blood-Oxygen-Level Dependent activity of the patients and converted into real-time visual feedback during the neurofeedback training runs. Improvements in the classifier accuracy toward the end of the training were observed in all the patients [Session 4–1 Median = 6.563%; Range = 4.10–27.34; Wilcoxon Test, 2-tailed p = 0.031]. Clinical improvement also was observed in a blind standardized clinical evaluation [HDRS CE2-1 Median = 7; Range 2 to 15; Wilcoxon Test, 2-tailed p = 0.016], and in self-report assessments [BDI-II CE2-1 Median = 8; Range 1–15; Wilcoxon Test, 2-tailed p = 0.031]. In addition, the clinical improvement was still present 10 days after the intervention [BDI-II CE3-2_Median = 0; Range −1 to 2; Wilcoxon Test, 2-tailed p = 0.50/ HDRS CE3-2 Median = 0; Range −1 to 2; Wilcoxon Test, 2-tailed p = 0.625]. Although the number of participants needs to be increased and a control group included to confirm these findings, the results suggest a novel option for neural modulation and clinical alleviation in depression using noninvasive stimulation technologies. (shrink)

Our goal in this paper is to experimentally investigate whether folk conceptions of explanation are psychologistic. In particular, are people more likely to classify speech acts as explanations when they cause understanding in their recipient? The empirical evidence that we present suggests this is so. Using the side-effect effect as a marker of mental state ascriptions, we argue that lay judgments of explanatory status are mediated by judgments of a speaker’s and/or audience’s mental states. First, we show that attributions of (...) both understanding and explanation exhibit a side-effect effect. Next, we show that when the speaker’s and audience’s level of understanding is stipulated, the explanation side-effect effect goes away entirely. These results not only extend the side-effect effect to attributions of understanding, they also suggest that attributions of explanation exhibit a side-effect effect because they depend upon attributions of understanding, supporting the idea that folk conceptions of explanation are psychologistic. (shrink)

© The Author 2017. Published by Oxford University Press on behalf of The Scots Philosophical Association and the University of St Andrews. All rights reserved. For permissions, please e-mail: [email protected] A. Richards offers a comprehensive introduction to biological classification: ‘the comparison and grouping of organisms, the naming of these groups, the theoretical basis for grouping, and the philosophical foundations for systems of grouping’. This book functions as an introduction to philosophy for biologists, an introduction to biology for philosophers and (...) an introduction to the history of both suitable for a more general audience.In the first chapter, he considers the results of folk and ethno-taxonomy, and related studies in cognitive psychology and developmental linguistics. The results suggest that all humans classify hierarchically, and that there is some agreement between folk and ethno-taxonomy and scientific taxonomy. But, even with this agreement, there is still disagreement about the ‘naturalness’... (shrink)

Non-epistemic values play important roles in classificatory practice, such that philosophical accounts of kinds and classification should be able to accommodate them. Available accounts fail to do so, however. Our aim is to fill this lacuna by showing how non-epistemic values feature in scientific classification, and how they can be incorporated into a philosophical theory of classification and kinds. To achieve this, we present a novel account of kinds and classification, discuss examples from biological classification (...) where non-epistemic values play decisive roles, and show how this account accommodates the role of non-epistemic values. (shrink)

Many years ago Wilamowitz desiderated a systematic collection of the texts which relate to the different types of poetry composed by the great lyric poets of Greece. He hoped that if we could only crystallize our admittedly scanty information about the characteristics of, say, the Paean or the Dirge, we might be able to reach a slightly better understanding than we have now of the formal structure and artistic design of the poems and fragments which have come down to us (...) under these titles. Indeed, this kind of knowledge is very important. (shrink)

_The first part called the Preamble tackles: (a) the issues of silence and speech, and life and disease; (b) whether we need to know some or all of the truth, and how are exact science and philosophical reason related; (c) the phenomenon of Why, How, and What; (d) how are mind and brain related; (e) what is robust eclecticism, empirical/scientific enquiry, replicability/refutability, and the role of diagnosis and medical model in psychiatry; (f) bioethics and the four principles of beneficence, non-malfeasance, (...) autonomy, and justice; (g) the four concepts of disease, illness, sickness, and disorder; how confusion is confounded by these concepts but clarity is imperative if we want to make sense out of them; and how psychiatry is an interim medical discipline. The second part called The Issues deals with: (a) the concepts of nature and nurture; the biological and the psychosocial; and psychiatric disease and brain pathophysiology; (b) biology, Freud and the reinvention of psychiatry; (c) critics of psychiatry, mind-body problem and paradigm shifts in psychiatry; (d) the biological, the psychoanalytic, the psychosocial and the cognitive; (e) the issues of clarity, reductionism, and integration; (f) what are the fool-proof criteria, which are false leads, and what is the need for questioning assumptions in psychiatry. The third part is called Psychiatric Disorder, Psychiatric Ethics, and Psychiatry Connected Disciplines. It includes topics like (a) psychiatric disorder, mental health, and mental phenomena; (b) issues in psychiatric ethics; (c) social psychiatry, liaison psychiatry, psychosomatic medicine, forensic psychiatry, and neuropsychiatry. The fourth part is called Antipsychiatry, Blunting Creativity, etc. It includes topics like (a) antipsychiatry revisited; (b) basic arguments of antipsychiatry, Szasz, etc.; (c) psychiatric classification and value judgment; (d) conformity, labeling, and blunting creativity. The fifth part is called The Role of Philosophy, Religion, and Spirituality in Psychiatry. It includes topics like (a) relevance of philosophy to psychiatry; (b) psychiatry, religion, spirituality, and culture; (c) ancient Indian concepts and contemporary psychiatry; (d) Indian holism and Western reductionism; (e) science, humanism, and the nomothetic-idiographic orientation. The last part, called Final Goal, talks of the need for a grand unified theory. The whole discussion is put in the form of refutable points._. (shrink)

A numerical classification was performed on 69 elements with 54 chemicaland physicochemical properties. The elements fell into clusters in closeaccord with the electron shell s-, p- andd-blocks. The f-block elements were not included forlack of sufficiently complete data. The successive periods ofs- and p-block elements appeared in an ovalconfiguration, with d-block elements lying to one side. Morethan three axes were required to give good representation of thevariation, although the interpretation of the higher axes is difficult.Only 15 properties were scorable (...) for the noble gases, but despite thepaucity of properties reflecting chemical reactivity, analysis of the 69elements on these properties still showed the major features seen fromthe full set. (shrink)

Six experiments investigated variables predicted to influence subjects’ tendency to classify items by a single property instead of overall similarity, following the paradigm of Norenzayan et al., who found that European Americans tended to give more “logical” rule-based responses. However, in five experiments with Mechanical Turk subjects and undergraduates at an American university, we found a consistent preference for similarity-based responding. A sixth experiment with Korean undergraduates revealed an effect of instructions, also reported by Norenzayan et al., in which (...) class='Hi'>classification instructions led to majority rule-based responding but similarity instructions led to overall similarity grouping. Our American subjects showed no such difference and used similarity more overall. We conclude that Americans do not have a preference for rule responding in classification and discuss the differences between tasks that reliably show strong rule or unidimensional preferences in contrast to this classification paradigm. (shrink)

The notion of naivety is a form of classification and explanation of the social world. By applying Erving Goffman’s expression games model, it is observed that the notion of naivety corresponds to a situation in which an observer assumes that the observed subject does not accommodate his behavior to the presence of the observer, in the assumption that the latter might take advantage from what he learns from it. This article explores this model’s explanatory power in reference to the (...) diverse forms in which the notion of naivety is used in contexts where transinteractive structures of the art world have to be taken into account. La noción de ingenuidad es una forma cotidiana de clasificación y explicación del mundo social. Usando el modelo de juegos de expresión de Erving Goffman, se observa que ella corresponde a la situación en que un actor asume que otro no modifica su comportamiento teniendo en cuenta lo que el primero aprende de él para alcanzar sus propios objetivos. En este artículo se explora la utilidad de este modelo para explicar el uso de la noción de ingenuidad en referencia a estructuras transinteractivas de mundos del arte. (shrink)

Abstract: Tomatoes are part of the major crops in food security. Tomatoes are plants grown in temperate and hot regions of South American origin from Peru, and then spread to most countries of the world. Tomatoes contain a lot of vitamin C and mineral salts, and are recommended for people with constipation, diabetes and patients with heart and body diseases. Studies and scientific studies have proven the importance of eating tomato juice in reducing the activity of platelets in diabetics, which (...) helps in protecting them from developing deadly blood clots. A tomato classification approach is presented with a data set containing approximately 5,266 images with 7 species belonging to tomatoes. The Neural Network Algorithms (CNN), a deep learning technique applied widely in image recognition, is used for this task. (shrink)

The present study investigated whether individual differences between psychologists in thinking styles are associated with accuracy in diagnostic classification. We asked novice and experienced clinicians to classify two clinical cases of clients with two co-occurring psychological disorders. No significant difference in diagnostic accuracy was found between the two groups, but when combining the data from novices and experienced psychologists accuracy was found to be negatively associated with certain decision making strategies and with a higher self-assessed ability and preference for (...) a rational thinking style. Our results underscore the idea that it might be fruitful to look for explanations of differences in the accuracy of diagnostic judgments in individual differences between psychologists (such as in thinking styles or decision making strategies used), rather than in experience level. (shrink)

Taking the idea of waste as an in-use phenomenon, we developed amatrix to explain four categories of waste which result from users’ failure touse a resource properly. These categories were illustrated by examples built onpractical food waste measurements, surveys, theses formatting requirementsand newspaper reports. We have categorized different facets of waste from abusiness perspective; thus, contributed to have improved waste managementpractices. We also showed that parsimony was also a wasteful behaviour.Parsimony was shown to be a waste by its effects on (...) others’ need of fulfilmentand other-worldly consequences for the miser. (shrink)

Sensory classification is a central theme of Mohan Matthen's wonderful book, Seeing, Doing, and Knowing. ( All page references are to Matthen 2005 unless otherwise indicated.) My plan for this commentary is simple: I shall list a series of claims that Matthen makes about the classes involved in sensory classification. Each member of the series is admirable, and seems credible on its own. The question at the end is whether we can hold them all, together.

Introduction into the structure, contents and specifications of the Information Coding Classification, developed in the seventies and used in many ways by the author and a few others following its publication in 1982. Its theoretical basis is explained consisting in the Integrative Level Theory, following an evolutionary approach of ontical areas, and integrating also on each level the aspects contained in the sequence of the levels, the distinction between categories of form and categories of being, the application of a (...) feature of Systems Theory and the inclusion of a concept theory, distinguishing four kinds of relationships, originated by the kinds of characteristics. Its special Subject Groups on each of its nine levels are outlined and the combinatory facilities at certain positions of the Systematifier are shown. Further elaboration and use have been suggested, be it only as a switching language between the six existing universal classification systems at present in use internationally. (shrink)

Legislation usually lacks a systematic organization which makes the management and the access to norms a hard problem to face. A more analytic semantic unit of reference (provision) for legislative texts was identified. A model of provisions (provisions types and their arguments) allows to describe the semantics of rules in legislative texts. It can be used to develop advanced semantic-based applications and services on legislation. In this paper an automatic bottom-up strategy to qualify existing legislative texts in terms of provision (...) types is described. (shrink)

The study of complexity and optimization in decision theory involves both partial and complete characterizations of preferences over decision spaces in terms of real-valued monotones. With this motivation, and following the recent introduction of new classes of monotones, like injective monotones or strict monotone multi-utilities, we present the classification of preordered spaces in terms of both the existence and cardinality of real-valued monotones and the cardinality of the quotient space. In particular, we take advantage of a characterization of real-valued (...) monotones in terms of separating families of increasing sets to obtain a more complete classification consisting of classes that are strictly different from each other. As a result, we gain new insight into both complexity and optimization, and clarify their interplay in preordered spaces. (shrink)

A passive brain–computer interface based upon functional near-infrared spectroscopy brain signals is used for earlier detection of human drowsiness during driving tasks. This BCI modality acquired hemodynamic signals of 13 healthy subjects from the right dorsolateral prefrontal cortex of the brain. Drowsiness activity is recorded using a continuous-wave fNIRS system and eight channels over the right DPFC. During the experiment, sleep-deprived subjects drove a vehicle in a driving simulator while their cerebral oxygen regulation state was continuously measured. Vector phase analysis (...) was used as a classifier to detect drowsiness state along with sleep stage-based threshold criteria. Extensive training and testing with various feature sets and classifiers are done to justify the adaptation of threshold criteria for any subject without requiring recalibration. Three statistical features along with six VPA features were used. The average accuracies for the five classifiers are 90.9% for discriminant analysis, 92.5% for support vector machines, 92.3% for nearest neighbors, 92.4% for both decision trees, and ensembles over all subjects’ data. Trajectory slopes of CORE vector magnitude and angle: m and m are the best-performing features, along with ensemble classifier with the highest accuracy of 95.3% and minimum computation time of 40 ms. The statistical significance of the results is validated with a p-value of less than 0.05. The proposed passive BCI scheme demonstrates a promising technique for online drowsiness detection using VPA along with sleep stage classification. (shrink)

The International Classification of Functioning, Disability and Health (ICF), designed by the WHO, attempts to provide a holistic model of functioning and disability by integrating a medical model with a social one. The aim of this article is to analyze the ICF’s claim to holism. The following components of the ICF’s complexity are analyzed: (1) health condition, (2) body functions and structures, (3) activity, (4) participation, (5) environmental factors, (6) personal factors, and (7) health. Although the ICF claims to (...) be holistic, it presupposes a monistic materialistic ontology. We indicate some limitations of this ontology, proposing instead: (a) a pluralistic–holistic ontology (PHO) and (b) a multidimensional view of the human being, with individual and environmental aspects, in relation to three levels of reality implied by the PHO. For the ICF to attain its holistic claim, the interactions between its components should be based on (a) and (b). (shrink)