Terms loaded with informational connotations are often employed to refer to genes and their dynamics. Indeed, genes are usually perceived by biologists as basically ‘the carriers of hereditary information.’ Nevertheless, a number of researchers consider such talk as inadequate and ‘just metaphorical,’ thus expressing a skepticism about the use of the term ‘information’ and its derivatives in biology as a natural science. First, because the meaning of that term in biology is not as precise as it is, for instance, in (...) the mathematical theory of communication. Second, because it seems to refer to a purported semantic property of genes without theoretically clarifying if any genuinely intrinsic semantics is involved. Biosemiotics, a field that attempts to analyze biological systems as semiotic systems, makes it possible to advance in the understanding of the concept of information in biology. From the perspective of Peircean biosemiotics, we develop here an account of genes as signs, including a detailed analysis of two fundamental processes in the genetic information system (transcription and protein synthesis) that have not been made so far in this field of research. Furthermore, we propose here an account of information based on Peircean semiotics and apply it to our analysis of transcription and protein synthesis. (shrink)

Transdisciplinary research challenges the divide between Indigenous and academic knowledge by bringing together epistemic resources of heterogeneous stakeholders. The aim of this article is to explore causal explanations in a traditional fishing community in Brazil that provide resources for transdisciplinary collaboration, without neglecting differences between Indigenous and academic experts. Semi-structured interviews were carried out in a fishing village in the North shore of Bahia and our findings show that community members often rely on causal explanations for local ecological phenomena with (...) different degrees of complexity. While these results demonstrate the ecological expertise of local community members, we also argue that recognition of local expertise needs to reflect on differences between epistemic communities by developing a culturally sensitive model of transdisciplinary knowledge negotiation. (shrink)

Mimicry and deception are two important issues in studies about animal communication. The reliability of animal signs and the problem of the benefits of deceiving in sign exchanges are interesting topics in the evolution of communication. In this paper, we intend to contribute to an understanding of deception by studying the case of aggressive signal mimicry in fireflies, investigated by James Lloyd. Firefly femmes fatales are specialized in mimicking the mating signals of other species of fireflies with the purpose of (...) attracting responding males to become their prey. These aggressive mimics are a major factor in the survival and reproduction of both prey and predator. It is a case of deception through active falsification of information that leads to efficient predation by femmes fatales fireflies and triggered evolutionary processes in their preys’ communicative behaviors. There are even nested coevolutionary interactions between these fireflies, leading to a remarkable system of deceptive and counterdeceptive signaling behaviors. We develop here a semiotic model of firefly deception and also consider ideas advanced by Lloyd about the evolution of communication, acknowledging that deception can be part of the explanation of why communication evolves towards increasing complexity. Increasingly complex sign exchanges between fireflies evolve in an extremely slow pace. Even if deceptive maneuvers are played out time and time again between particular firefly individuals, the evolution of the next level of complexity—and thus the next utterance in the dialogue between species—is likely to take an immense amount of generations. (shrink)

In this paper, we intend to discuss if and in what sense semiosis (meaning process, cf. C. S. Peirce) can be regarded as an "emergent" process in semiotic systems. It is not our problem here to answer when or how semiosis emerged in nature. As a prerequisite for the very formulation of these problems, we are rather interested in discussing the conditions which should be fulfilled for semiosis to be characterized as an emergent process. The first step in this work (...) is to summarize a systematic analysis of the variety of emergence theories and concepts, elaborated by Achim Stephan. Along the summary of this analysis, we pose fundamental questions that have to be answered in order to ascribe a precise meaning to the term "emergence" in the context of an understanding of semiosis. After discussing a model for explaining emergence based on Salthe's hierarchical structuralism, which considers three levels at a time in a semiotic system, we present some tentative answers to those questions. (shrink)

This article intends to show that the defense of “understanding” as one of the major goals of science education can be grounded on an anti-reductionist perspective on testimony as a source of knowledge. To do so, we critically revisit the discussion between Harvey Siegel and Alvin Goldman about the goals of science education, especially where it involves arguments based on the epistemology of testimony. Subsequently, we come back to a discussion between Charbel N. El-Hani and Eduardo Mortimer, on (...) the one hand, and Michael Hoffmann, on the other, striving to strengthen the claim that rather than students’ belief change, understanding should have epistemic priority as a goal of science education. Based on these two lines of discussion, we conclude that the reliance on testimony as a source of knowledge is necessary to the development of a more large and comprehensive scientific understanding by science students. (shrink)

Transdisciplinary research knits together knowledge from diverse epistemic communities in addressing social-environmental challenges, such as biodiversity loss, climate crises, food insecurity, and public health. This paper reflects on the roles of philosophy of science in transdisciplinary research while focusing on Indigenous and other subaltern forms of knowledge. We offer a critical assessment of demarcationist approaches in philosophy of science and outline a constructive alternative of transdisciplinary philosophy of science. While a demarcationist focus obscures the complex relations between epistemic communities, transdisciplinary (...) philosophy of science provides resources for meeting epistemic and political challenges of collaborative knowledge production. (shrink)

Ethnobiology has become increasingly concerned with applied and normative issues such as climate change adaptation, forest management, and sustainable agriculture. Applied ethnobiology emphasizes the practical importance of local and traditional knowledge in tackling these issues but thereby also raises complex theoretical questions about the integration of heterogeneous knowledge systems. The aim of this article is to develop a framework for addressing questions of integration through four core domains of philosophy -epistemology, ontology, value theory, and political theory. In each of these (...) dimensions, we argue for a model of “partial overlaps” that acknowledges both substantial similarities and differences between knowledge systems. While overlaps can ground successful collaboration, their partiality requires reflectivity about the limitations of collaboration and co-creation. By outlining such a general and programmatic framework, the article aims to contribute to developing “philosophy of ethnobiology” as a field of interdisciplinary exchange that provides new resources for addressing foundational issues in ethnobiology and also expands the agenda of philosophy of biology. (shrink)

Peirce's pragmatic notion of semiosis can be described in terms of a multi-level system of constraints involving chance, efficient, formal and final causation. According to the model proposed here, law-like regularities, which work as boundary conditions or organizational principles, have a downward effect on the spatiotemporal distribution of lower-level semiotic items. We treat this downward determinative influence as a propensity relation: if some lower-level entities a,b,c,-n are under the influence of a general organizational principle, W, they will show a tendency (...) to behave in certain specific ways, and, thus, to instantiate a set of specific processes. Our goal in this paper is to examine the role of downward determination in semiotic systems, conceived as multi-level hierarchical systems. (shrink)

This article intends to show that the defense of ‘‘understanding’’ as one of the major goals of science education can be grounded on an anti-reductionist perspective on testimony as a source of knowledge. To do so, we critically revisit the discussion between Harvey Siegel and Alvin Goldman about the goals of science education, especially where it involves arguments based on the epistemology of testimony. Subsequently, we come back to a discussion between Charbel N. El-Hani and Eduardo Mortimer, on (...) the one hand, and Michael Hoffmann, on the other, striving to strengthen the claim that rather than students’ belief change, understanding should have epistemic priority as a goal of science education. Based on these two lines of discussion, we conclude that the reliance on testimony as a source of knowledge is necessary to the development of a more large and comprehensive scientific understanding by science students. (shrink)

This article addresses the contributions of the literature on the new mechanistic philosophy of science for the scientific practice of model building in ecology. This is reflected in a one-to-one interdisciplinary collaboration between an ecologist and a philosopher of science during science-in-the-making. We argue that the identification, reconstruction and understanding of mechanisms is context-sensitive, and for this case study mechanistic modeling did not present a normative role but a heuristic one. We expect our study to provides useful epistemic tools for (...) the improvement of empirically-riven work in the debates about mechanistic explanation of ecological phenomena. (shrink)

Biosemiotics is a growing fi eld that investigates semiotic processes in the living realm in an attempt to combine the fi ndings of the biological sciences and semiotics. Semiotic processes are more or less what biologists have typically referred to as “ signals, ” “ codes, ”and “ information processing ”in biosystems, but these processes are here understood under the more general notion of semiosis, that is, the production, action, and interpretation of signs. Thus, biosemiotics can be seen as biology (...) interpreted as a study of living sign systems — which also means that semiosis or sign process can be seen as the very nature of life itself. In other words, biosemiotics is a field of research investigating semiotic processes (meaning, signification, communication, and habit formation in living systems) and the physicochemical preconditions for sign action and interpretation. -/- (...). (shrink)

An e-learning system is increasingly gaining popularity in the academic community because of several benefits of learning anywhere anyplace and anytime. An Intelligent Tutoring System (ITS) is a computer system that aims to provide immediate and customized instruction or feedback to learners, usually without requiring intervention from a human teacher.(ITSB) is the tutoring system Builder Which designed and improved to help teachers in building intelligent tutoring system in many fields. In this paper, we have an example and an evaluating are (...) presented of building an intelligent tutoring system for teaching TOEFL using ITSB tool. (shrink)

Most historians and philosophers of philosophy and history of mathematics hold one interpretation or the other of the nature of method of analysis and synthesis in itself and in its historical development. In this paper, I am trying to prove – through three points – that, in fact, there were two understandings of that method in Greek mathematics and philosophy, and which were reflected in Arabic mathematical science and philosophy; this reflection is considered as proof also of this double nature (...) of that method. Thus, we have to rethink the nature of Arabic philosophy systems. (shrink)

Abstract: An e-learning system is increasingly gaining popularity in the academic community because of several benefits of learning anywhere anyplace and anytime. An Intelligent Tutoring System (ITS) is a computer system that aims to provide immediate and customized instruction or feedback to learners, usually without requiring intervention from a human teacher.(ITSB) is the tutoring system Builder Which designed and improved to help teachers in building intelligent tutoring system in many fields .In this paper we have an example and an evaluating (...) are presented of building an intelligent tutoring system for teaching TOEFL using ITSB tool. (shrink)

This article addresses ontological negotiations in the Global South through three case studies of community-based research in Brazil and Ghana. We argue that ontological perspectives of Indigenous and other subjugated communities require an ontological pluralism that recognizes the plurality of both representational tools and ways of being in the world. Locating these two readings of ontological pluralism in the politics of the Global South, the article highlights a wider dynamic from ontological paternalism to ontological diversity to ontological decolonization. We conclude (...) by arguing that this dynamic provides important lessons for reorienting agendas in social ontology through Southern Ontologies. (shrink)

Diabetes is one of the most common diseases worldwide where a cure is not found for it yet. Annually it cost a lot of money to care for people with diabetes. Thus the most important issue is the prediction to be very accurate and to use a reliable method for that. One of these methods is using artificial intelligence systems and in particular is the use of Artificial Neural Networks (ANN). So in this paper, we used artificial neural networks to (...) predict whether a person is diabetic or not. The criterion was to minimize the error function in neural network training using a neural network model. After training the ANN model, the average error function of the neural network was equal to 0.01 and the accuracy of the prediction of whether a person is diabetics or not was 87.3%. (shrink)

Abstract: Artificial Intelligence (AI) is rapidly becoming a cornerstone of modern healthcare, offering unprecedented capabilities in diagnostics, treatment planning, patient care, and healthcare management. This paper explores the transformative impact of AI on the healthcare sector, examining how it enhances patient outcomes, improves the efficiency of medical practices, and introduces new ethical and operational challenges. By analyzing current applications such as AI-driven diagnostic tools, personalized medicine, and hospital management systems, this paper highlights the significant advancements AI has brought to the (...) field. However, the integration of AI also raises concerns related to data privacy, algorithmic bias, and the displacement of healthcare professionals. This study provides a comprehensive overview of these developments, offering insights into the future potential of AI in revolutionizing healthcare while addressing the ethical considerations that must accompany its adoption. The findings suggest that while AI holds the promise of transforming healthcare delivery, careful consideration of its implications is essential to ensure equitable and effective implementation. (shrink)

Background: Arthritis is very common but is not well understood. Actually, “arthritis” is not a single disease; it is an informal way of referring to joint pain or joint disease. There are more than 100 different types of arthritis and related conditions. People of all ages, sexes and races can and do have arthritis, and it is the leading cause of disability in America. More than 50 million adults and 300,000 children have some type of arthritis. It is most common (...) among women and occurs more frequently as people get older. Common arthritis joint symptoms include swelling, pain, stiffness and decreased range of motion. Symptoms may come and go. They can be mild, moderate or severe. They may stay about the same for years, but may progress or get worse over time. Severe arthritis can result in chronic pain, inability to do daily activities and make it difficult to walk or climb stairs. Arthritis can cause permanent joint changes. These changes may be visible, such as knobby finger joints, but often the damage can only be seen on X-ray. Some types of arthritis also affect the heart, eyes, lungs, kidneys and skin as well as the joints. Objectives: The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment and give the appropriate method of treatment through several tips that concern the disease and how to treat it and we will see it through the application on the expert system. Methods: in this paper the design of the proposed Expert System which was produced to help Orthopedist in diagnosing Arthritis disease through its symptoms such as: pain on pressure in a joint , Inflammation indicated by joint swelling, Stiffness especially in the morning , Loss of flexibility of joint, Limited, joint movement, Deformity of the joints , Weight loss and fatigue , Non-specific fever and Crepitus. The proposed expert system presents an overview about Arthritis disease is given, the cause of diseases is outlined and the treatment of disease whenever possible is given out. SL5 Object Expert System language was used for designing and implementing the proposed expert system. Results: The proposed Arthritis disease diagnosis expert system was evaluated by Orthopedics students and they were satisfied with its performance. Conclusions: The Proposed expert system is very useful for Orthopedist, patients with arthritis and newly graduated Orthopedics students. (shrink)

As a type of evidence glass can be very useful contact trace material in a wide range of offences including burglaries and robberies, hit-and-run accidents, murders, assaults, ram-raids, criminal damage and thefts of and from motor vehicles. All of that offer the potential for glass fragments to be transferred from anything made of glass which breaks, to whoever or whatever was responsible. Variation in manufacture of glass allows considerable discrimination even with tiny fragments. In this study, we worked glass classification (...) and testing of artificial neural network model created by the JustNN. The aim of the study is help investigator in identifying the type of glass found in arena of the crime. The Neural Network model was trained and validated using the type of glass dataset. The accuracy of model in predicting the type of glass reached 96.7%. Thus neural network is suitable for predicating type of glasses. (shrink)

Modern life sciences research is increasingly relying on artificial intelligence (AI) approaches to model biological systems, primarily centered around the use of machine learning (ML) models. Although ML is undeniably useful for identifying patterns in large, complex data sets, its widespread application in biological sciences represents a significant deviation from traditional methods of scientific inquiry. As such, the interplay between these models and scientific understanding in biology is a topic with important implications for the future of scientific research, yet it (...) is a subject that has received little attention. Here, we draw from an epistemological toolkit to contextualize recent applications of ML in biological sciences under modern philosophical theories of understanding, identifying general principles that can guide the design and application of ML systems to model biological phenomena and advance scientific knowledge. We propose that conceptions of scientific understanding as information compression, qualitative intelligibility, and dependency relation modelling provide a useful framework for interpreting ML-mediated understanding of biological systems. Through a detailed analysis of two key application areas of ML in modern biological research – protein structure prediction and single cell RNA-sequencing – we explore how these features have thus far enabled ML systems to advance scientific understanding of their target phenomena, how they may guide the development of future ML models, and the key obstacles that remain in preventing ML from achieving its potential as a tool for biological discovery. Consideration of the epistemological features of ML applications in biology will improve the prospects of these methods to solve important problems and advance scientific understanding of living systems. (shrink)

Abstract cantaloupe and honeydew melons are part of the muskmelon family, which originated in the Middle East. When picking either cantaloupe or honeydew melons to eat, you should choose a firm fruit that is heavy for its size, with no obvious signs of bruising. They can be stored at room temperature until you cut them, after which they should be kept in the refrigerator in an airtight container for up to five days. You should always wash and scrub the rind (...) of your melon before you cut it to remove any dirt or bacteria on the outside. In this paper, cantaloupe classification approach is presented with a dataset that contains approximately 1,312 of Cantaloupes and honeydews. Convolutional Neural Network (CNN) algorithms, a deep learning technique extensively applied to image recognition was used, for this task. The results found that CNN-driven classification applications when used in farming automation have the latent to enhance crop harvest and improve output and productivity when designed properly. The trained model achieved an accuracy of 99.74% on a held-out test set, demonstrating the feasibility of this approach. (shrink)

Background: Obstetrics and gynaecology are many and common, where a woman suffers from problems related to pregnancy or her reproductive organs. Any part of her body may be affected due to some symptoms that are completely related to the reproductive organs when she is in a critical period for her, whether in her menstrual cycle, pregnancy, or disease conditions. The bulk of cases of diseases related to women and childbirth are dealt with great care and special care, as all diseases (...) related to women are considered very sensitive diseases due to the presence of the disease in sensitive and not simple places. A gynaecologist is a specialist in all diseases and problems related to the female sexual organs. They perform regular preventive medical exams, such as cervical smear tests and breast exams. It also provides consultations for women of all ages about the problems of contraception, infertility and menopause. Objectives: The objective of this expert system is to help and facilitate women in diagnosing diseases related to their obstetrics and gynaecology, a simple expert system has been designed consisting of ten various common diseases that affect women whether During or without pregnancy, Methods: In this system, the system consists of a list of some common symptoms, the correct diagnosis adopted for these diseases, and how to treat diseases in the correct way with the help of a consultant obstetrician and gynaecologist, Dr. Fathi Muhammad Al-Habibi, and these diseases are: uterine cancer, cervical cancer, Infertility, double uterus, ectopic pregnancy, endometrial cancer, female sexual dysfunction, endometriosis, faecal incontinence, female infertility, CLIPS Expert System language was used to design and implement the proposed expert system. Results: The proposed ten obstetrics and gynaecology diagnostic expert system was evaluated by medical students and they were satisfied with its performance. Conclusions: The proposed expert system is very useful for obstetricians and gynaecologists, patients with reproductive system problems, and recent graduates. (shrink)

Aristotle’s account of natural slavery as presented in his Politics is often treated by historians of philosophy as an account that can be analyzed purely internally in terms of its argumentative structure without referring to social factors. Against this view, Aristotle’s account of natural slavery is seen to be ideological according to at least one variant of the Marxist concept of ideology, and cannot be understood without reference to Aristotle’s socioeconomic context. The ideological nature of Aristotle’s account of natural slavery (...) is especially evident in his “proto-racialization” of the category of the “natural slave.” The Marxist concept of ideology is demonstrably useful in the historical study of philosophy, as compared with internalist historians of philosophy who claim that referring to nonphilosophical factors such as class interests inevitably obscures the philosophical content of the texts that are the objects of analysis. (shrink)

This chapter aims to revisit some of the key questions which were debated at the University of Dar es Salaam during the 1970s and 1980ss. The University of Dar es Salaam was a hotbed of progressive politics during the period in question. Radial political economy was frequently taught and discussed by the students and professors at the university. The ruling party, the Tanganyika African National Union (TANU), under the leadership of Julius Nyerere, was embarked on a project of building socialism, (...) but this was not a Marxist project, rather it was informed by the theory of ‘African Socialism’ which was adhered to by Nyerere. Proponents of African Socialism claimed that because African societies were and are classless societies, a theory of social transformation which was centred on class struggle was inapplicable to such societies. There were other proponents of African Socialism, but it was only in Tanzania that this theory was applied as a theory of socialist development. The proponents of African Socialism in Tanzania held that the situation there was exceptional compared to developments across the African continent in so far as communal forms had survived into the end of the colonial period. On this basis, the claim was made that such communal forms could provide an alternative basis for building a socialist society without the need for going through a stage of independent capitalist development. This view might have appeared especially plausible when its proponents contrasted the case of Tanzania with the case of neighbouring Kenya, where a fairly strong class of rich peasants able to hire the labour of others emerged during the colonial period. (shrink)

The current study tries to verify the effectiveness of a training program in increasing Crowdfunding awareness. The sample was (50) students in CIS, who were purposively selected and distributed equally into a treatment and control group. The researchers designed the study tools (a training program to increase Crowdfunding awareness). The study findings revealed the existence of statistically significant differences between the treatment and control groups in favor of the former. Furthermore, there were statistically significant differences between the pre and the (...) post measures of the treatment group in favor of the post measures. Furthermore the current study is unique by the virtue of its nature, scope and way of implied investigation, as it is the first study for Crowdfunding training program in Arabic world. (shrink)

rtificial Intelligence (AI) is swiftly becoming a fundamental element in modern healthcare, bringing unparalleled capabilities in diagnostics, treatment planning, patient care, and healthcare management. This paper delves into AI's transformative impact on the healthcare sector, highlighting how it enhances patient outcomes, boosts the efficiency of medical practices, and introduces new ethical and operational challenges. Through an analysis of current applications such as AI-driven diagnostic tools, personalized medicine, and hospital management systems, the paper underscores the significant advancements AI has introduced to (...) the field. However, the integration of AI also presents concerns related to data privacy, algorithmic bias, and the displacement of healthcare professionals. This study provides a thorough overview of these developments, offering insights into AI's future potential to revolutionize healthcare while addressing the ethical considerations necessary for its responsible adoption. The findings suggest that while AI has the potential to transform healthcare delivery, careful consideration of its implications is essential for ensuring its equitable and effective implementation. (shrink)

There is no doubt that Computer troubleshooting is important for organizations and companies and for personal use level. Sound cards troubles is one of the most annoying problems in computers. It causes damage and troubles in computers to persons, organizations and firms. Correctly, expert systems can greatly help to avoid damage to these computers. designed to diagnose and troubleshoot issues related to sound cards in computer systems. The expert system is developed using a combination of rule-based and machine learning approaches, (...) which allows for accurate and efficient diagnosis of a wide range of sound card problems. Objectives: An expert system has been established based on CLIPS to diagnose Computer Problems. (shrink)

This essay has two aims. The first is to show that the editors of Lotus: Afro-Asian Writings and some of the writers who contributed to it (especially Ismail Ezzedine, Anar Rzayev, Tawfick Zeyad, Abdel Aziz El-Ahwani, Joseph Ki-Zerbo, Alex La Guma, Adonis, Salah Dehni, Luis Bernardo Honwana, Ghassan Kanafany, and Tozaburo Ono) attempted to reconceive of nationalism in a way that would make international solidarity constitutive of the new national projects. It is argued that this is quite different from thinking (...) of the contributors to Lotus as abandoning nationalism in favor of a supranationalist project. The second aim is to show that at least some of the contributors to Lotus thought of themselves as being the vanguard of modernity, and not as the creators of “alternative modernities”. This essay shows that some of the aforementioned contributors to Lotus implicitly drew on standpoint epistemology in order to argue that, due to their struggles against colonialism, racial discrimination, etc., they had a privileged epistemic vantage point from which to criticize modernity in its European form for not being modern enough. (shrink)

This article brings to the forefront Timothy Brennan’s emphasis on Edward Said’s engagement with philosophy. An attempt is made to reconstruct some of Brennan’s claims about Said’s views on the relationship between mental representations and the external world. It is shown that Said rejected naïve or direct realism in favor of representationalism. It is also argued that, despite being seen as a post-modern thinker, Said subscribed to a version of the correspondence theory of truth. Said embraced some form of standpoint (...) epistemology, but he did not think that this had any direct bearing on how we should think about what makes a given claim true. Finally, an attempt is made to understand the relationship between Said’s project and the classical Marxist project of ideology critique, as well as contemporary attempts to develop an epistemology of ignorance. (shrink)

Artificial Intelligence (AI) is rapidly transforming Human Resource Management (HRM) by enhancing the efficiency and effectiveness of key functions such as recruitment, performance management, and employee engagement. This paper explores the integration of AI technologies in HRM, focusing on their potential to revolutionize these critical areas. In recruitment, AI-driven tools streamline candidate sourcing, screening, and selection processes, leading to more accurate and unbiased hiring decisions. Performance management is similarly transformed, with AI enabling continuous, data-driven feedback and personalized development plans that (...) align with organizational goals. Furthermore, AI facilitates more engaging and tailored employee experiences by leveraging predictive analytics to anticipate and address employee needs. Despite these advancements, the paper also addresses the ethical considerations and challenges associated with AI in HRM, including data privacy concerns and the risk of over-reliance on automated systems. Through a comprehensive analysis, this paper aims to provide insights into how AI can be strategically leveraged to optimize HRM practices, while highlighting the need for a balanced approach that integrates human judgment with technological innovation. (shrink)

In this paper I argue that Hegel thought that systematicity was both a necessary condition for a body of thought to be recognized as philosophy and a normative principle by which progress in the history of philosophy can be evaluated. I argue that Hegel’s idiosyncrasies in the interpretation of thinkers who he considers to be philosophers can be explained by referring to the structure of his own philosophical system. I also argue that Hegel’s conception of philosophy as being essentially systematic (...) leads him to claim that traditions that do not have systematic philosophy do not have philosophy at all and this leads to their marginalization. Finally, I identify the role of Hegel’s assumptions in shaping the self-understanding of philosophers through the shaping of the philosophical canon. (shrink)

Background: Broccoli is an edible green plant in the cabbage family (family Brassicaceae, genus Brassica) whose large flowering head, stalk and small associated leaves are eaten as a vegetable. A leaf of Broccoli might be affected of Several Diseases descriped in this paper . When symptoms is encountered, it requires some kind of medical care. If appropriate Survival of Broccoli Diseases is not taken quickly, it can lead to Broccoli to die . Objectives: The main goal of this expert system (...) is to get the appropriate diagnosis of disease and the correct treatment. Methods: In this paper the design of the proposed Expert System which was produced to help Farmers in diagnosing many of the broccoli diseases such as : Damping Off,Club root of crucifers or Finger and toe disease,Alternaria leaf spot,Black rot,Downy mildew, and White rust. (shrink)

Background: Systematized Nomenclature of Medicine—Clinical Terms (SNOMED CT, hereafter abbreviated SCT) is acomprehensive medical terminology used for standardizing the storage, retrieval, and exchange of electronic healthdata. Some efforts have been made to capture the contents of SCT as Web Ontology Language (OWL), but theseefforts have been hampered by the size and complexity of SCT. Method: Our proposal here is to develop an upper-level ontology and to use it as the basis for defining the termsin SCT in a way that will (...) support quality assurance of SCT, for example, by allowing consistency checks ofdefinitions and the identification and elimination of redundancies in the SCT vocabulary. Our proposed upper-levelSCT ontology (SCTO) is based on the Ontology for General Medical Science (OGMS). Results: The SCTO is implemented in OWL 2, to support automatic inference and consistency checking. Theapproach will allow integration of SCT data with data annotated using Open Biomedical Ontologies (OBO) Foundryontologies, since the use of OGMS will ensure consistency with the Basic Formal Ontology, which is the top-levelontology of the OBO Foundry. Currently, the SCTO contains 304 classes, 28 properties, 2400 axioms, and 1555annotations. It is publicly available through the bioportal athttp://bioportal.bioontology.org/ontologies/SCTO/. Conclusion: The resulting ontology can enhance the semantics of clinical decision support systems and semanticinteroperability among distributed electronic health records. In addition, the populated ontology can be used forthe automation of mobile health applications. (shrink)

Losurdo analyzes the debate which took place in 1954 between Galvano Della Volpe and Palmiro Togliatti (the General Secretary of the Italian Communist Party) over the relationship between Marxism and liberalism. Della Volpe championed the standard position that liberalism enshrined formal (negative) freedom which Marxism seeks to preserve while also extending social rights (or positive freedom). Togliatti recognized the main problem with this view: the majority of people who lived under the rule of states which purportedly adhered to Western liberalism (...) were colonized peoples who did not share in the experience of exasperation with the merely formal nature of bourgeois negative freedom, because it was never extended to them in the first place (pp. 94–95)! In a sense, we can say that the problem with Marxism in its Eurocentric form is that it is too charitable towards liberalism. It attributes to liberalism achievements that it is innocent of (p. 216). Losurdo remarks on the irony of the date of this debate, for 1954 was the year of the Battle of Điện Biên Phủ when the Việt Minh forces defeated the French in a war of independence which was fought, at least partly, in the name of the formal bourgeois freedom which Western liberal states had, according to Della Volpe and other Western Marxists, already actualized in the world. (shrink)

One of the central strengths of Salem's analysis of Nasserism is that she recognizes both its world-historical significance as a progressive nationalist movement, and its severe limitations. In the first section of this paper, I discuss Salem's notion of the "afterlives" of the Nasserist project by drawing attention to one of the most debilitating legacies of that project, namely the transformation of Egyptian politics into petty bourgeois politics. In the second section, I argue that while Salem does not explicitly draw (...) on Hegel's understanding of tragedy in her account of Nasserism, her analysis of Nasserism essentially amounts to depicting it as a Hegelian tragedy. By placing Salem's book in conversation with Hegel (and his philosophy of action), we can make explicit what I take to be one of the central claims made by Salem, namely that when passing judgment on past and present national liberation movements we should remember that innocence is "only non-action, like the mere being of a stone" [nur das Nichttun wie das Sein eines Steines] (Hegel 1986, 346). In the third section of this paper, I raise some critical points about Salem's characterization of the nationalism that was associated with the Nasserist project, as well as about the deployment of the concept of modernity in her analysis. I argue that her account of modernity in the book does not distinguish between the concept of modernity as it refers to a certain kind of normative philosophical discourse, and modernization theory qua theory of development. Finally, I draw on Salem's use of the concept of hegemony in order to pose a question regarding the political significance of the contemporary cultural hegemony of Islamist movements in Egypt. (shrink)

I argue that the reception of Hegel in the sub-field of history and philosophy of science has been in part impeded by a misunderstanding of his mature metaphilosophical views. I take Alan Richardson’s influential account of the rise of scientific philosophy as an illustration of such misunderstanding, I argue that the mature Hegel’s metaphilosophical views place him much closer to the philosophers who are commonly taken as paradigms of scientific philosophy than it is commonly thought. Hegel is commonly presented as (...) someone who conceived of philosophy as a science that relied on the solitary genius of the individual thinker, and as a science whose propositions could not and should not be made accessible to “the common people”. Against this view, I argue that Hegel in fact thought that philosophy was a thoroughly anti-individualistic activity, and that he emphasized the importance of the intersubjective accessibility of philosophical discourse. I argue that when we carefully reconstruct Hegel’s reasons for his break with Schelling, and if we pay close attention to his explicit metaphilosophical pronouncements, we can see that he in fact adhered to what I call a “proto-modernist” conception of philosophy as a science. I conclude by pointing out how the mischaracterization of Hegel has served to obscure the existence of a strand of scientific philosophy that emerged by way of an immanent critique of Hegel, namely Marxist philosophy. (shrink)

Interview with Carmen De Schryver on her work on Paulin Hountondji.

Hirji’s book, somewhat overlooked since its release, offers a compelling analysis of the history and sociology of the sciences in Tanzania, with a focus on Hirji’s own field of statistics, from the post-independence period through to the 2010s. The first chapter provides an overview of Hirji’s career as a teacher. The second presents an account of Hirji’s experiences as a teacher under training, especially in light of the Arusha Declaration of 1967 and the turn towards building socialism in Tanzania, and (...) the philosophy of education for self-reliance that Nyerere attempted to institutionalize. The next four chapters provide a detailed account of Hirji’s years as a teacher at the University of Dar Es Salaam (UDSM) from 1971 until his dismissal and internal-exile in 1974. (shrink)

This work will be driven from an interdisciplinary inspiration. Multiple philosophical theories of sound perception and sound ontology that rely on considering sound as sound waves, events and environmental properties will be considered. We will try to show that these accounts cannot hold in face of the complexity of auditory experience. That will be done by resorting to a corpus of empirical literature that suggests that the experience of sound can be manipulated by visual components of experience. In the last (...) section we extend the previous considerations to the topic of artificial perception of sound and then we draw some speculative conclusions. (shrink)

Background: There is no doubt that strawberry diseases are one of the most important reasons that led to the destruction of strawberry plants and their crops. This leads to obvious damage to these plants and they become inedible. Discovering these diseases after a good step for proper and correct treatment. Determining the treatment with high accuracy depends on the method used in the diagnosis. Correctly, expert systems can greatly help in avoiding damage to these plants. The expert system correctly diagnoses (...) strawberry disease to make it easier for farmers to find the right treatment based on the appropriate diagnosis. Objectives: The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment. Methods: In this paper the design of the proposed Expert System which was produced to help Farmers and students interested in agriculture strawberry in diagnosing many of the strawberry diseases such as: Leaf Spots, Grey Mold, Red Stele/Red Core, Wilt, Powdery Mildew, Alternaria Spot, Black Root Rot, Anthracnose (black spot), and Angular Leaf Spot. The proposed expert system presents an overview about strawberry diseases are given, the cause of diseases are outlined and the treatment of disease whenever possible is given out. CLIPS language was used for designing and implementing the proposed expert system. Results: The proposed strawberry diseases diagnosis expert system was evaluated by Farmers and they were satisfied with its performance. Conclusions: The Proposed expert system is very useful for Farmers with strawberry problem and students interested in agriculture strawberry. (shrink)

'Hands Tied' brings together two very different films about hands: Maria Lassnig's Palmistry (1973) and Ayesha Hameed's A Rough History (of the Destruction of Fingerprints) (2016). These works are contextualised and their scope extended further by a roundtable discussion featuring participants Rachel Aumiller, Sam Dolbear, Nadine El-Enany, Amelia Groom, Clio Nicastro, Anja Sunhyun Michaelsen, and M. Ty., who discuss their relation to fate, work, pleasure, touch, and surveillance.

It aimed to identify the strategic creativity in Islamic banks in Palestine between reality and implementation. The study adopted the descriptive analytical approach. A questionnaire was designed as a tool for the study. The study community consisted of all employees in Islamic banks from the top and middle management and the study has been applied to the Palestinian Islamic bank and the Arab Islamic Bank. The comprehensive inventory method was used, given the small size of the study sample, as questionnaires (...) were distributed to (175) employees, and a number of (5) categories were chosen from each branch of the bank(general manager, deputy general manager, director Branch, department head, department manager). (164) questionnaires have been used Recovered with a recovery rate of (93.71%). The study showed a number of results, the most important of which is the availability of dimensions of strategic innovation at a high level in Islamic banks in Palestine with a relative weight of (82.22%). In addition, that there are no differences between the averages estimates about the reality of the study variables in Islamic banks due to (gender, age group, educational qualification, number of years of service, job title). The study also presented a set of recommendations, including that the bank should provide the environment and the appropriate climate for employees to invest their intellectual energy, urge them to strategic creativity, and deal fairly with all creative ideas regardless of their source. (shrink)

This paper describes an Intelligent Tutoring System for helping users with ADO.NET called ADO-Tutor. The Intelligent Tutoring System was designed and developed using (ITSB) authoring tool for building intelligent educational systems. The user learns through the intelligent tutoring system ADO.NET, the technology used by Microsoft.NET to connect to databases. The material includes lessons, examples, and questions. Through the feedback provided by the intelligent tutoring system, the user's understanding of the material is assessed, and accordingly can be guided to different difficulty (...) level of exercises and/or the lessons. The Intelligent Tutoring System was evaluated by a group of users and the results were more than satisfactory in terms of the quality of the material and the design of the system. (shrink)

van Els, Paul. "Echo's van de Weg" (Echoes of the Dao). Dutch translation of Huainanzi chapter 12. Het Trage Vuur 40 (December 2007): 29–35.

van Els, Paul. "Tegen aanvalsoorlogen" (Against Offensive Warfare). Dutch translation of Mozi chapters 17, 18, and 19. Het Trage Vuur 40 (December 2007): 8–19.

van Els, Paul. "#MeToo avant la lettre." Filosofie-Tijdschrift 28, no. 3 (May 2018): 35–39.

Abstract: Fast food refers to quick, convenient, and ready-to-eat meals that are usually sold at chain restaurants or take-out establishments. Fast food is often criticized for its unhealthy ingredients, such as high levels of salt, sugar, and unhealthy fats, and its contribution to the growing obesity epidemic. Despite this, fast food remains popular due to its affordability, convenience, and widespread availability. Many fast food chains have attempted to respond to these criticisms by offering healthier options, such as salads and grilled (...) chicken sandwiches, and by using more natural and locally sourced ingredients. The aim in this paper to propose a deep learning model for the classification of fast food dishes. The proposed model, Xception, was trained on natural images and was fine-tuned to make up the fast food meals. The researchers collected the Fast Food V2 dataset from Kaggle depository, the dataset, contained 20,000 images. The dataset has ten labels of food images comprised of Baked Potato, Burger, Crispy Chicken, Donut, Fries, Hot Dog, Pizza, Sandwich, Taco, and Taquito. The dataset was split into three sets: training, validation and testing. The accuracy, F1-score, recall, precision on the separate test set showed that classification of fast food was accuracy (95.13%), Precision (95.34%), Recall (95.13%), and F1-Score (95.14%). (shrink)

Abstract: Tomatoes are among the most popular vegetables in the world due to their frequent use in many dishes, which fall into many varieties in common and traditional foods, and due to their rich ingredients such as vitamins and minerals, so they are frequently used on a daily basis, When we focus our attention on this vegetable, we must also focus and take into consideration the diseases that affect this vegetable, a deep learning model that classifies tomato diseases has been (...) proposed. The aim of this paper is to diagnose tomato diseases based on a dataset containing 11000 picture and 11 classes. The model gave the final accuracy test with Accuracy (99.87%), F1-score (99.87%), Recall (99.87%), and Precision (99.88%) in an estimated time 1.36 second, as with these results it proved its effectiveness and good ability in the classification of the testing data. (shrink)