The notion that shame is a global emotion, one which takes the whole self as its focus, has long enjoyed a near consensus in both the psychological and philosophical literature. Recently, however, a number of philosophers have questioned this conventional wisdom: on their view, most everyday instances of shame are not global, but are instead limited to a specific aspect of one’s identity. I argue that this objection stems from an overemphasis on the cognitive dimension of shame. Its proponents cannot (...) make sense of global shame because they only understand the emotion in terms of an intellectual self-evaluation, where I am ashamed upon assessing myself to have disappointed a particular standard or ideal. However, when shame is understood as arising early on in life from one’s threatened connection with others, and as having affective, embodied, and unconscious aspects alongside its later cognitive ones, the intuition that it feels all-encompassing makes more sense. Our earliest experiences of shame, which are largely devoid of complex cognitive content, are global because they are experienced as casting doubt upon our lovability in general. It is only later, as cognition develops, that we learn to hang this sense of overall defectiveness, which is reawakened in subsequent shame experiences, onto specific parts of the self. While this might lead us in adulthood to intellectually understand our shame as having a local basis, such as a failed norm or ideal, its global phenomenology will remain. (shrink)

Does the scope of beliefs that people can form on the basis of perception remain fixed, or can it be amplified with learning? The answer to this question is important for our understanding of why and when we ought to trust experts, and also for assessing the plausibility of epistemic foundationalism. The empirical study of perceptual expertise suggests that experts can indeed enrich their perceptual experiences through learning. Yet this does not settle the epistemic status of their beliefs. One might (...) hold that the background knowledge of experts is the cause of their enriched perceptual experience – what is known as cognitive permeation – and so their subsequent beliefs are only mediately justified because they are epistemically dependent on this background knowledge. I argue against this view. Perceptual expertise is not the result of cognitive permeation but is rather the result of perceptual learning, and perceptual learning does not involve cognition in a way that entails cognitive permeation. Perceptual expertise thus provides a means of widening the scope of the immediately justified beliefs that experts can form. (shrink)

While the view that we perceive aesthetic properties may seem intuitive, it has received little in the way of explicit defence. It also gives rise to a puzzle. The first strand of this puzzle is that we often cannot perceive aesthetic properties of artworks without training, yet much aesthetic training involves the acquisition of knowledge, such as when an artwork was made, and by whom. How, if at all, can this knowledge affect our perception of an artwork’s aesthetic properties? The (...) second strand of the puzzle arises when we widen the scope of aesthetic experience. The very same aesthetic properties that seem to require training for their perception in artworks do not appear to require training to perceive in objects of everyday aesthetic appreciation and natural phenomena. In this paper I argue that a prominent extant attempt to explain how training is compatible with aesthetic perception—cognitive permeation—is an inadequate solution. I also develop a positive view of aesthetic perception that provides a unified solution to both strands of the puzzle. (shrink)

The fallacies, as traditionally conceived, are wrong ways of reasoning that nevertheless appear attractive to us. Recently, however, Woods (2013) has argued that they don’t merit such a title, and that what we take to be fallacies are instead largely virtuous forms of reasoning. This reformation of the fallacies forms part of Woods’ larger project to naturalize logic. In this paper I will look to his analysis of the argumentum ad hominem as a case study for the prospects of this (...) project. I will argue that the empirical literature on implicit bias presents a difficulty for the reformation of the ad hominem as cognitively virtuous. Cases where implicit bias influences our assessment of the truth or claim or argument are instances of ad hominem reasoning, and these qualify as fallacious on Woods’ own definition. (shrink)

Can compensation repair the moral harm of a previous wrongful act? On the one hand, some define the very function of compensation as one of restoring the moral balance. On the other hand, the dominant view on compensation is that it is insufficient to fully repair moral harm unless accompanied by an act of punishment or apology. In this paper, I seek to investigate the maximal potential of compensation. Central to my argument is a distinction between apologetic compensation and non-apologetic (...) compensation. Apologetic compensation, I argue, is an act that expresses regret and apology by means of some offer of money, goods, or services. Non-apologetic compensation is an act that seeks to restore loss or harm without expressing regret or apology. In the paper, I defend the view that acts of compensation can be apologetic and argue that such apologetic compensation is sufficient for moral repair. (shrink)

This chapter addresses a general question: What is responsible risking? It explores the notion of "responsible risking" as a thick moral concept, and it argues that the notion can be given moral content that could be action-guiding and add an important tool to our moral toolbox. To impose risks responsibly, on this view, is to take on responsibility in a good way. A core part of responsible risking, this chapter argues, is some version of a Forethought Condition. Such a condition (...) requires us to not make decisions or plans such that we could not deliver on our responsibility obligations. This chapter argues that three moral obligations can be derived from descriptive notions of responsibility. They are (1) the control condition, (2) the responsibility to fix condition, and (3) the responsibility to explain condition. The idea is that in order to impose risks responsibly we ought not act in ways that undermine our ability to remain in control over the risks, undermine our ability to sort out negative outcomes by reparations or compensation, or undermine our prospects of providing an explanation for our actions that also makes sense in hindsight and to those affected. This idea is then tried out on the case of germline gene editing. It is argued that such a moral notion of responsibility is also action-guiding when we do not know for certain what is the morally right or obligatory action all-things-considered due to epistemic gaps. (shrink)

For many philosophers, there is a tension inherent to shame as an inward-looking, yet intersubjective, emotion: that between the role of the ashamed self and the part of the shaming Other in pronouncing the judgement of shame. Simply put, the issue is this: either the perspective of the ashamed self takes precedence in autonomously choosing to feel shame, and the necessary role of the audience is overlooked, or else the view of the shaming Other prevails in heteronomously casting the shame, (...) and the ashamed individual’s agency becomes problematically understated. I argue that this debate is fundamentally misguided insofar as it assumes that shame must be exclusively contingent upon either the perspective of the self or that of the Other, when it is in fact dependent upon both at once. This is the “double movement” of shame: an appraisal of the self that is at once social and private. (shrink)

How one should respond to shame is a moral consideration that has figured relatively little in philosophical discourse. Recent psychological insights tell us that, at its core, shame reflects an unfulfilled need for emotional connection. As such, it often results in psychological and moral damage—harm which, I argue, renders shaming practices very difficult to justify. Following this, I posit that a morally preferable response to shame is one that successfully addresses and dispels the emotion. To this end, I critique two (...) common responses to shame, compliance and anger, and then propose an alternative: the practice of emotional vulnerability. (shrink)

The predictive coding (PC) theory of attention identifies attention with the optimization of the precision weighting of prediction error. Here we provide some challenges for this identification. On the one hand, the precision weighting of prediction error is too broad a phenomenon to be identified with attention because such weighting plays a central role in multimodal integration. Cases of crossmodal illusions such as the rubber hand illusion and the McGurk effect involve the differential precision weighting of prediction error, yet attention (...) does not shift as one would predict. On the other hand, the precision weighting of prediction error is too narrow a phenomenon to be identified with attention, because it cannot accommodate the full range of attentional phenomena. We review criticisms that PC cannot account for volitional attention and affect-biased attention, and we propose that it may not be able to account for feature-based and intellectual attention. (shrink)

Despite signifying a negative self-appraisal, shame has traditionally been thought by philosophers to entail the presence of self-respect in the individual. On this account, shame is occasioned by one’s failure to live up to certain self-standards—in displaying less worth than one thought one had—and this moves one to hide or otherwise inhibit oneself in an effort to protect one’s self-worth. In this paper, I argue against the notion that only self-respecting individuals can experience shame. Contrary to the idea that shame (...) presupposes the presence of self-worth, I contend that shame merely requires that one have the desire, rather than the expectation, that one is worthy. Furthermore, I suggest that the desire for concealment fueled by shame is not an inherently self-protective mechanism but can alternatively be understood as an effort to safeguard one’s connection with others. (shrink)

Attempts to engineer a generally intelligent artificial agent have yet to meet with success, largely due to the (intercontext) frame problem. Given that humans are able to solve this problem on a daily basis, one strategy for making progress in AI is to look for disanalogies between humans and computers that might account for the difference. It has become popular to appeal to the emotions as the means by which the frame problem is solved in human agents. The purpose of (...) this paper is to evaluate the tenability of this proposal, with a primary focus on Dylan Evans’ search hypothesis and Antonio Damasio’s somatic marker hypothesis. I will argue that while the emotions plausibly help solve the intracontext frame problem, they do not function to solve or help solve the intercontext frame problem, as they are themselves subject to contextual variability. (shrink)

This work is a phenomenological exploration of overgeneral memory in depressed patients. It reviews the current philosophical literature on the first-person experience of depression, which has so far omitted the phenomenon of overgeneral memory. However, this phenomenon is well documented within psychology; and this essay will show that its symptomatic appearance in depression and subsequent disturbance of self- experience justifies attention to the phenomenon within the phenomenology of depression. Both the theory of embodiment and the extended mind thesis work extensively (...) with the nature of memory in other conditions such as Alzheimer's and dementia. Thus, these philosophical approaches will be utilised in an analysis of overgeneral memory; this will enrich the philosophy of depression, memory and self and highlight the value of the concepts of embodiment and the extended mind. Moreover, this philosophical interrogation suggests a route toward therapeutic interventions to help patients suffering from overgeneral memory applying techniques from extended mind and cognition studies. (shrink)

Starting with a partial order on a NeutroAlgebra, we get a NeutroStructure. The latter if it satisfies the conditions of NeutroOrder, it becomes a NeutroOrderedAlgebra. In this paper, we apply our new defined notion to semigroups by studying NeutroOrderedSemigroups. More precisely, we define some related terms like NeutrosOrderedSemigroup, NeutroOrderedIdeal, NeutroOrderedFilter, NeutroOrderedHomomorphism, etc., illustrate them via some examples, and study some of their properties.

Neutrosophy, the study of neutralities, is a new branch of Philosophy that has applications in many different fields of science. Inspired by the idea of Neutrosophy, Smarandache introduced NeutroAlgebraicStructures (or NeutroAlgebras) by allowing the partiality and indeterminacy to be included in the structures’ operations and/or axioms.

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)

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)

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)

Anecdotes play an important role in ancient Chinese philosophical writings. This essay offers a close reading of one anecdote in the Mencius, one of the most influential Confucian texts. This reading provides insight into what it means, according to Mencius, to be a morally superior human being. The goal of this essay is to provide insight into the ethical and political philosophy of Mencius and, more broadly, to provide a guideline for reading Chinese philosophical writings in an attentive and receptive (...) manner. (shrink)

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)

Huang-Lao is now generally regarded as a set of ideas that gained currency from the final stages of the Warring States period to well into the Han dynasty. "Huang" stands for Huangdi, the Yellow Emperor; "Lao" refers to Laozi, the "Old Master," who is traditionally regarded as the founder of Daoism. Huang-Lao is thus a combination of ideas attributed to the mythical figures of the Yellow Emperor and Laozi. What those ideas are and how they have manifested themselves in Chinese (...) history remains the subject of heated debate. (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 article shows that Olaudah Equiano’s struggles to escape from the condition of enslavement allowed him to attain a privileged epistemic position in relation to certain domains of knowledge. Equiano utilized this privileged epistemic vantage point to launch an internal critique of some strands of Enlightenment philosophy. In the process of launching this internal critique, Equiano also undermined a claim to ownership that was implicitly made by prominent defenders of both slavery and theories of racial superiority in relation to the (...) normative principles which constituted the core of the Enlightenment as an intellectual movement. This article shows that to think of Enlightenment discourse in terms of the trope of the “master’s tools” is to misunderstand what Equiano brought about by way of successful internal critique in his Interesting Narrative. (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)

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)

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)

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)

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)

An integral part of terrorist groups’ recruitment strategies is dependent on the communicative isolation of individuals who are potentially fit to be terrorists. Terrorists-to-be receive training on how to proceed in society without revealing their terrorist intentions. This partially accounts for the feelings of shock, disbelief, and surprise with which the parents, relatives, and acquaintances of terrorists often react to the news that the people they think they know have conducted atrocious terrorist acts against innocent victims. Accordingly, the success of (...) terrorist plans largely counts on uncommunicating the terrorist idea to the surrounding environment. Taking targeted individuals to this recruitment stage requires time, indoctrination, and expertise from terrorist recruiters. This proves why terrorist groups prefer to address young people and emerging adults who show signs of communication lack with their own families. This study attempts to verify the applicability of these findings to the Moroccan context. In this respect, a survey was administered to 400 respondents in two different social environments measuring Moroccan youths’ predisposition to be drawn by extremist narratives. The results demonstrate that Moroccan parents involuntarily create communicative and emotional gaps in children making them the most desirable profiles for terrorist groups. -/- . (shrink)

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)

The spatial-ecological modeling is relating sustainable dispersions with social development. Sustainability with spatial-ecological model gives attention to urban environments in the design review management to comply with Earth’s system. Naturally exchanged patterns of ecosystems have consistent and periodic cycles to preserve energy flows and materials in Earth’s system. The Probabilistic Risk Assessment (PRA) technique is utilized to assess the safety of an industrial complex. The other analytical approach is the Failure-Safe Mode and Effect Analysis (FMEA) for critical components. The plant (...) safety parameters are identified for engineering topology as employed in assessment safety of industrial ecology. In particular, the most severe accidental release of hazardous gaseous is postulated, analyzed and assessment in industrial region. The IAEA-safety assessment procedure is used to account the duration and rate of discharge of liquid chlorine. The ecological model of plume dispersion width and concentration of chlorine gas in the downwind direction is determined using Gaussian Plume Model in urban and rural areas and presented with SURFER®. The prediction of accident consequences is traced in risk contour concentration lines. The local greenhouse effect is predicted with relevant conclusions. The spatial-ecological model is predicted for multiple factors distribution schemes of multi-criteria analysis. The input–output analysis is explored from the spillover effect, and we conducted Monte Carlo simulations for sensitivity analysis. Their unique structure is balanced within “equilibrium patterns”, such as the composite index for biosphere with collective structure of many distributed feedback flows. These dynamic structures are related to have their physical and chemical properties and enable a gradual and prolonged incremental pattern. While this spatial model structure argues from ecology, resource savings, static load design, financial and other pragmatic reasons, the outcomes are not decisive in an artistic/architectural perspective. The hypothesis is deployed to unify analytic and analogical spatial structure in development urban environments using optimization loads as an example of integrated industrial structure where the process is based on engineering topology of systems ecology. (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)

Globally, breast cancer is the most common cancer in women worldwide, it represents about 25.0% of all cancer cases. In developing countries, breast cancer is mainly discovered at a late stage, which has a negative impact on the prognosis. To determine the extent of, and the factors contributing to, delay in breast cancer presentation, and to evaluate the mammography screening practice in breast cancer Libyan women. A descriptive cross-sectional study was carried out on five hundred and one breast cancer patients (...) who attended the Oncology Outpatient Clinic of the Medical Department at Tripoli University Hospital and Tripoli Central Hospital during a period between February and August 2019, after the application of inclusion and exclusion criteria enrolled in the study. The mean age of the patients was 47.35±01.0 years, 55.1% of them were diagnosed in late stage (III and IV), and 30.9% of the patients were presented late (≥3 months). The time interval between the initial breast symptom and first presentation to a clinic ranged between 2nd day and up to three years, with a median time of 1.5 months, and the main factor of the delayed presentation to a clinic was a lack of knowledge about symptoms (33.5%). The study revealed a significant association between delayed presentation and older age (P<0.001), low educational level (P<0.001), low family income (P<0.001), unemployed women (P< 0.002), postmenopausal women (P<0.001), patients with negative family history (P<0.05). This study concluded that delayed presentation is found in less than a third of the study population, and lack of knowledge about breast cancer signs and symptoms is a common factor. Age, educational status, family income, unemployed women, menopausal status, and family history of breast cancer were all significant factors for delayed presentation. Improving women's awareness about breast cancer is needed and applying the policy of regular screening mammograms is a useful tool for early diagnosis and early treatment in Libya. (shrink)

The infinite judgement has long been forgotten and yet, as I am about to demonstrate, it may be urgent to revive it for its critical and productive potential. An infinite judgement is neither analytic nor synthetic; it does not produce logical truths, nor true representations, but it establishes the genetic conditions of real objects and the concepts appropriate to them. It is through infinite judgements that we reach the principle of transcendental logic, in the depths of which all reality can (...) emerge in its material and sensible singularity, making possible all generalization and formal abstraction. (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)

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)

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.

My dissertation contributes to a central and ongoing debate in the philosophy of perception about the fundamental nature of perceptual states. Such states include cases like seeing, hearing, or tasting as well as cases of merely seeming to see, hear, or taste. A central question about perceptual states arises in light of misperceptual phenomena. A commonsensical view of perceptual states construes them as simply relating us to the external and mind independent objects. But some misperceptual cases suggest that these states (...) fall short of contact with the world. The result is that perceptual states are either thought to fundamentally consist in a highest common factor that falls short of perceptual contact with the world, or are thought to be disjunctive in nature, with some cases involving perceptual contact, and others receiving a different analysis. Contrary to these views, I argue that no misperceptual cases compromise perceptual contact with worldly objects, so perceptual states should be understood as relations to the external and mind-independent world. I call this view I defend Pure Relationalism, and the view of misperceptual cases that makes pure relationalism possible Illusionism. (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)

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)

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)

This paper aims to reconstruct the politico-philosophical content of the Ancient Wenzi, according to three interrelated questions: How does the text communicate its views to the reader? What are its main ideas? When and where were these ideas first put to writing? Accordingly, after a discussion of preliminaria in section 1, section 2 focuses on the rhetorical devices in the text, section 3 on its key terms, and section 4 on its possible historical context. The goal of this paper is (...) not only to describe the content of the Ancient Wenzi, but also to contextualize it. That is, to explore the debate to which the Ancient Wenzi may have responded. (shrink)

This research examined the lived experiences of public school teachers in the United States during the COVID-19 pandemic. A qualitative design was performed using interpretative phenomenological analysis. Twenty public school teachers in the United States formed the sample, with the inclusion criterion being a minimum of three years’ teaching experience, including the pandemic. To meet the safety measure protocols set by the U.S. government, the data gathering was conducted online using Microsoft Forms. The semi-structured interviews comprised two sections: the first (...) ascertained the respondents’ profiling and the second revealed their first-hand experiences. The thematic analysis approach was utilized to analyze the data. The findings disclosed five emerging themes: 1) low student engagement; 2) unstable internet connection; 3) professional development as school district support; 4) utilization of online engagement tools to leverage classroom engagement; and 5) evident parental support. School districts, teachers, parents, students, and potential researchers were provided with recommendations for improving online and hybrid instruction. In addition to implementing socio-emotional learning programs and addressing slow internet connections, it is advised that school districts train teachers on how to use the tools, software, and techniques for online and hybrid instruction. Teachers who are having difficulty in adjusting to online learning should think about developing their capabilities for helping students while finding a healthy balance in terms of stress management. The use of technology to support students should be adequately taught to parents. Future studies on the pandemic's effects on education should continue. (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: Vegetables are an essential component of a healthy diet and play a critical role in promoting overall health and well- being. Vegetables are rich in important vitamins and minerals, including vitamin C, folate, potassium, and iron. They also provide fiber, which helps maintain digestive health and prevent chronic diseases. We are proposing a deep learning model for the classification of vegetables. A dataset was collected from Kaggle depository for Vegetable with 15000 images for 15 different classes. The data was (...) preprocessed, normalized and split into three sets (train, valid, test). The proposed model was trained and validated using the train and valid sets and accuracy of both training and validation was very high. For the evaluation of the proposed model we utilized these metrics: accuracy, F1-score, precision, Recall and time required for testing. We then tested the proposed model using the test set. The result of the testing was accuracy (99.95%), F1-score (99.95%), precision (99.95%), Recall (99.95%) and time required for testing the test set was 1.38 seconds. (shrink)