Abstract: Waste polyvinylchloride (PVC) pipes were reused in the modification of commercially available bitumen. Waste PVC/ bitumen blends were prepared by melt-mixing method. Rheological characteristics of the neat bitumen and bitumen blends samples were investigated. The rheological properties were determined using an ARES- Rheometer (Rheometric Scientific, Co.) under nitrogen atmosphere in parallel plate geometry with diameter 25 mm. The measurements were performed over a wide range of temperatures ranged from -10°C to 60°C and frequencies from 100 to 0.1 radians per (...) second. Improvement in rheological properties. (shrink)

One of the ṣaḥābīs of Prophet Muḥammad is ʿUrwa b. Masʿūd from the Ṭāʾif tribe of Thaqīf. He belongs to the Ahlâf part of the Thaqīf tribe and he is the ruler of this part. ʿUrwa’s ancestry is known without any controversy until Kasî (Thaqīf). According to a narrative his epithet was Abū Yaʿfur and another of his epithet was Abū Masʿūd. Father of ʿUrwa an important person too. He is one of the leaders of his tribe and he commanded (...) his part (Aḥlāf) in wars of Fijār. Mother of ʿUrwa is Subay’a bt. ʿAbd Shams from Banū Umayya. In this way ʿUrwa has kinship both with Banū Umayya and Prophet Muḥammad. So ʿUrwa has a very important position because of his lineage, his mother and father. Thefore, his connections with Mecca and Quraysh strengthens his position. In our sources there is no information about his dates of birth and death. It is likely to be over middle age when he became a muslim, considering that he was the leader of his tribe and his son become a muslim after he died. There is too little information about weddings of ʿUrwa. According to narratives, he had ten wives before becoming Muslim. After becoming a Muslim Prophet Muḥammad warned from him to prefer four out of ten wives. One of his four wives is the daughter of Abū Sufyān. Howev-er, there is no information about the names of his wives. Names of his sons: ʿĀṣim, Abū Murra, Abū Mulayḥ, Dāwūd, Hammām and Hishām and names of his daughters: Umm Saʿīd (married with Ḥaẓrat ʿAlī) and Ḥalīma. We could see he served as embassy before the treaty of Hudaybiyah. His embassy duty shows us the superiority of his position. Also, this embassy duty was very effective at peace negotiations. He mentioned kinship relations which connects about Mecca. He said that it could be beneficial to talk to Prophet Muḥammad himself. The Meccans mentioned about their trust in ʿUrwa. During the time of his embassy, he expressed that both sides should be away from war. In this context, he told the Meccans: The people around Prophet Muḥammad are very loyal to him and he told to Prophet Muḥammad: People around him could disintegrate easily. This mission shows us he is intelligent, respectable and had high persuasion skills. ʿUrwa, observed loyalty of ṣaḥābīs to Prophet Muḥammad. He confessed this loyalty can not be for any ruler. This observa-tion probably affected ʿUrwa’s conversion to Islam. Because of the conquest of Meccah and the events that followed, the people of Ṭāʾif were very worried. Because of this reason people of Ṭāʾif took part in the side of Hawāzin’s and they bat-tled with Muslims. In this time they sent ʿUrwa b. Masʿūd and Ghaylān b. Salama to the city of D̲j̲aras̲h̲ of Yemen, to learn about some war machines and techniques. Therefore they did not join wars of Hunayn and Ṭāʾif. Prophet Muḥammad ended the siege of Ṭāʾif and went to Medina. Meanwhile, ʿUrwa and his friend returned from Yemen. According to narratives when the Prophet Muḥammad returned Medina or he was way in Medina ʿUrwa visited him and became Muslim. Some people tell about the date of ʿUrwa’s being Muslim at before or after Abū Bakr’s emirate of Hadj. However, when the narrations are examined, it can be said he became Muslim after four or five months from Prophet’s siege of Ṭāʾif and before three or four months from Tabūk expedition of Rabīʿ al-awwal or “Rabīʿ al-ākhir” (July or August) in the year 9/630. As for the conversion of ʿUrwa, basic sources report that “Allah, inspired Islam to the heart of ʿUrwa and he changed his situation. He went to the Messenger of Allah and he became Muslim.” They do not give a specific reason. But after this period the narratives tell the reason for ʿUrwa’s becoming a Muslim as due to an experience he had while travelling to Najrān for trade. In this travel, two mysterious young girls and the priest in Najrān said the last prophet came and ʿUrwa must be subject to him and ʿUrwa became Muslim after he returned. But this narrative is prob-lematic with regard to evidence and text. After being Muslim, ʿUrwa wanted permission from the Prophet to invite his tribe to accept Islam. The prophet did not want to accept this at first. Because the people of Ṭāʾif had an arro-gant stance against Islam, and he said that the people of Thaqīf could kill ʿUrwa. Eventually ʿUrwa went to his hometown with permission of Prophet and invited people to Islam and they did not accept this invitation and cursed ʿUrwa. The next morning ʿUrwa read adhan of fajr and people of Ṭāʾif killed him. ʿUrwa b. Masʿūd was likened to Prophet Jesus by the Prophet Muḥammad. It is generally accept-ed that ʿUrwa b. Masʿūd el-Thaqafī is “one of the biggest from two cities” expressed in sūra Zukhruf. Only two weak narrations were reported of Urwa who could live as a Muslim for a few days and was matyred by his tribe. (shrink)

Abstract: In this research, an Artificial Neural Network (ANN) model was developed and tested to predict effect of oxygen consumption of thylakoid membranes (chloroplasts) from spinach after inhibition. A number of factors were identified that may affect of oxygen consumption of thylakoid membranes from spinach. Factors such as curve, herbicide, dose, among others, as input variables for the ANN model. A model based on multi-layer concept topology was developed and trained using the data from some inhibition of photosynthesis in farms. (...) The evaluation of testing the dataset shows that the ANN model is capable of correctly predicting the effect of oxygen consumption of thylakoid membranes (chloroplasts) from spinach after inhibition with 100% accuracy. (shrink)

This study contributes to the limited literature on VAT’s impact on student populations by assessing the financial strain on university students in Oman. The research provides novel insights into policymaking, suggesting VAT exemptions for essential educational goods and proposing financial literacy programs for mitigating the adverse effects of VAT which employs chi-square tests and regression analysis to quantify the financial effects of VAT on students' purchasing behavior, revealing that VAT negatively impacts purchasing power with a statistically significant p-value (< 0.05). (...) The findings highlight substantial financial strain on students, particularly those in lower-income brackets, prompting policy recommendations for VAT exemptions on essential educational goods and the inclusion of financial literacy programs aimed at helping students mitigate the tax's adverse effects. This study evaluates the financial implications of the Value Added Tax (VAT) introduced in Oman in 2021, focusing on its impact on consumer behavior among university students at A’sharqiyah University. Utilizing a quantitative methodology, including chi-square tests and regression analysis, and a sample of 53 students, the research investigates the effects of VAT on purchasing power and consumption patterns. The findings demonstrate a significant disruption to students' financial capacity, with the majority reporting challenges in affording essential educational materials. By contributing to the limited body of literature on VAT’s effects on low-income populations, this study provides valuable insights into how students rationalize their consumption and cope with increased financial strain. Policy recommendations include VAT exemptions for educational goods and the implementation of comprehensive financial literacy programs to help vulnerable groups manage the tax's adverse effects. (shrink)

In the last two decades, software process modeling has been an area of interest within both academia and industry. Software process modeling aims at defining and representing software processes in the form of models. A software process model represents the medium that allows better understanding, management and control of the software process. Software process metamodeling rather, provides standard metamodels which enable the defining of customized software process models for a specific project in hand by instantiation. Several software process modeling/meta-modeling languages (...) have been introduced to formalize software process models. Nonetheless, none of them has managed to introduce a compatible yet precise language to include all necessary concepts and information for software process modeling. This paper presents Software Process Meta-Modeling and Notation (SP2MN); a meta-modeling language that provides simple and expressive graphical notations for the aim of software process modeling. SP2MN has been evaluated based upon the well-known ISPW-6 process example, a standard benchmark problem for software process modeling. SP2MN has proved that it presents a valid and expressive software process modeling language. (shrink)

Coronary Heart Disease (CHD) is one of the leading causes of death nowadays. Prediction of the disease at an early stage is crucial for many health care providers to protect their patients and save lives and costly hospitalization resources. The use of machine learning in the prediction of serious disease events using routine medical records has been successful in recent years. In this paper, a comparative analysis of different machine learning techniques that can accurately predict the occurrence of CHD events (...) from clinical data was performed. Four machine learning classifiers, namely Logistic Regression, Support Vector Machine (SVM), K- Nearest Neighbor (KNN), and Multi-Layer Perceptron (MLP) Neural Networks were identified and applied to a dataset of 462 medical instances and 9 features as well as the class feature from the South African Heart Disease data retrieved from the KEEL repository. The dataset consists of 302 records of healthy patients and 160 records of patients who suffer from CHD. In order to handle the imbalanced classification problem, the K-means algorithm along with Synthetic Minority Oversampling TEchnique (SMOTE) was used in this study. The empirical results of applying the four machine learning classifiers on the oversampled dataset have been very promising. The results reported using different evaluation metrics showed that SVM has achieved the highest overall prediction performance. (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)

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)

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)

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)

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)

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)

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)

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)

Knowledge can be transmitted through testimony. What about understanding? In this paper I argue against the possibility of testimonial understanding by giving an account of understanding in terms of ‘mental structures’. Then I argue while we cannot integrate communicating understanding into a propositional model of epistemic communication, we can do so on a perspectival model. I highlight the importance of this to the epistemology of education throughout.

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)

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)

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)

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.

This paper adopts two modeling tools, namely, multiple linear regression (MLR) and artificial neural networks (ANNs), to predict the concentrations of heavy metals (zinc, boron, and manganese) in surface waters of the Oued Inaouen watershed flowing towards Inaouen, using a set of physical-chemical parameters. XLStat was employed to perform multiple linear and nonlinear regressions, and Statista 10 was chosen to construct neural networks for modeling and prediction. The effectiveness of the ANN- and MLR-based stochastic models was assessed by the determination (...) coefficient (R²), the sum squared error (SSE) and a review of fit graphs. The results demonstrate the value of ANNs for prediction modeling. Drawing on supervised learning and back propagation, the ANN-based prediction models adopt an architecture of [18-15-1] for zinc, [18-11-1] for manganese, and [18-8-1] for boron, and perform effectively with a single cached layer. It was found that the MLR-based prediction models are substantially less accurate than those based on the ANNs. In addition, the physical-chemical parameters being investigated are nonlinearly correlated with the levels of heavy metals in the surface waters of the Oued Inaouen watershed flowing towards Inaouen. (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 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)

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)

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)

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)

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)

This paper presents the main aspects of the proto-Wenzi’s philosophy, with a focus on its intricate relationship with the Laozi. They show that the proto-Wenzi advocates a philosophy of quietude, not only in terms of its content, but also through the rhetoric it uses to create a harmonious synthesis of diverse, and at times even incompatible, ideas.

This article analyzes Mencius 7B.23, a concise passage that offers complex ethical dilemmas. It provides a close reading of the passage, along with relevant passages elsewhere in the text and, occasionally, in other texts. The narrow goal of the article is to present a coherent reading of the passage within the context of the Mencius as a whole. This reading suggests that while the passage touches upon a wide range of topics, including personal credibility and political responsibility, the overarching concern (...) is on being a morally superior person, on the difficult dilemmas such people may face, and on how they would respond to them. More broadly, the article shows that while the philosophical practice of "weighing circumstances" (quan 權) allows moral agents in exceptional cases to break certain moral or ritual rules, Mencius seems unwilling to apply this discretion when morality as a whole, or the integrity of the person who embodies it (shi 士), are involved. (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)

The Mozi contains at least three distinct arguments against offensive warfare. The "moral argument" claims that offensive warfare is morally wrong. The "economic argument" calculates that the foreseeable costs of a military campaign inevitably outweigh its possible benefits. The "religious argument" warns that military aggression harms the interests of Heaven. This paper discusses these three lines of argumentation, with extensive reference to the original text in translation. The paper explores what the arguments entail, to whom they may have been addressed, (...) and how persuasive they are from a modern academic perspective. It shows not only how Mozi and his followers theorized about offensive warfare, but also how their arguments were used in practice, at least according to anecdotes in the latter part of the received Mozi. The ultimate goal of this paper is to show how the Mohists actively adapted their argumentative strategies so as to find the best words to end wars. (shrink)

This paper is intended as a gateway to two 2000-year-old manuscripts of the Analects. The first two sections discuss the archaeological context of the discoveries and analyse the manuscripts themselves, including characteristic features of the bamboo strips and the texts inked thereon and notable differences between these and other Analects versions. In these sections, I also critically evaluate present-day Analects studies and offer alternative hypotheses where there is room for debate. The third and final section of the paper discusses what (...) I consider the most fascinating (and most complex) issue regarding the manuscripts: their provenance. In that section, I examine when, where, and why the Analects was copied onto the bamboo strips. The ultimate goal of this paper is to present a nuanced understanding of the two bamboo manuscripts that conveys the fascinating insights they offer while also exploring the limitations of what these manuscripts can actually tell us. (shrink)

Early Chinese argumentative texts are full of historical anecdotes. These short accounts of events in Chinese history enhance the appeal of the text, but they also have an important rhetorical function in helping the reader understand, accept, and remember the arguments propounded in the text. In this paper I examine the rhetorical function of historical anecdotes in two argumentative texts of the Western Han dynasty (202 BCE-9 CE): Han’s Illustrations of the Odes for Outsiders and The Master of Huainan. These (...) two texts found creative use for anecdotes, namely as illustrations of quotations from canonical sources. Through case studies of several combinations of anecdotes and quotations, I argue that the combinations serve to present the creators of these texts as beacons of knowledge with profound understanding of historical events and canonical literature, and with the necessary skills to fruitfully combine the two. (shrink)

Early Chinese thought enjoys a wide appeal, in the scholarly world as much as elsewhere, as people are keen on learning about the ideas of Confucius, Mencius, and other thinkers whose views have shaped traditional Chinese culture. In the study of early Chinese thought, emphasis has long been on what thinkers said, not on how they proffered their views. Even studies that do consider the how, tend to focus on logic and argumentation, rather than rhetoric. Fortunately, in the past few (...) decades growing attention has been paid to Chinese rhetoric which has led to an impressive number of publications. This work briefly outlines rhetoric in the West and in China. (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)

This chapter studies classifications of warfare in Master Wu, The Four Canons, and Master Wen. In sections one through three, I analyze the classifications in their original contexts. How do they relate to the texts in which they appear? In what way does each classification feed into the overall philosophy of the text? In section four, I compare the three classifications. What are their similarities and differences? In section five, I discuss the possibility of a relationship between the three classifications. (...) Are any perhaps directly and demonstrably influenced by another? I hypothesize that the classification of warfare in Master Wu may have served as a source for those in The Four Canons and Master Wen. In section six, I explore the development of classifications of warfare in writings from the Warring States period to the early Han dynasty. How did the classifications evolve from military–strategic writings to texts of politico–philosophical nature? Finally, in section seven, I survey the impact of classifications on the wider political debate on warfare in those days. Did classifications influence the debate? If so, to what effect? (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)

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)

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)

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)

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)

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: 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)

van Els, Paul. "Een niet-bestaande leer" (A Non-Existent Doctrine). Review of Confucianisme, by Burchard J. Mansvelt Beck. China Nu 31, no. 1 (2006): 46–47.

van Els, Paul. "Aansporing tot zelfonderzoek" (Exhortation to Self-Examination). Review of De Chinese fascinatie voor de geest (The Chinese Fascination with the Mind), by Dianne Sommers. China Nu 33, no. 4 (2008): 46–47.

Abstract: Generative AI is transforming the creative industries by redefining how art, music, and media are produced and experienced. This paper explores the profound impact of generative AI technologies, such as deep learning models and neural networks, on creative processes. By enabling artists, musicians, and content creators to collaborate with AI, these systems enhance creativity, speed up production, and generate novel forms of expression. The paper also addresses ethical considerations, including intellectual property rights, the role of human creativity in AI-assisted (...) production, and the potential risks of AI-generated content. As the convergence of AI and creativity deepens, this study highlights the opportunities and challenges posed by generative AI in revolutionizing the landscape of creative industries. (shrink)

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)

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)