In this paper, we have developed an Excel package to be utilized for calculating neutrosophic data and analyze them. The use of object oriented programming techniques and concepts as they may apply to the design and development a new framework to implement neutrosophic data operations, the c# programming language, NET Framework and Microsoft Visual Studio are used to implement the neutrosophic classes. We have used Excel as it is a powerful tool that is widely accepted and used for statistical analysis. (...) Figure 1 shows Class Diagram of the implemented package. Figure 2 presents a working example of the package interface calculating the complement. Our implemented Neutrosophic package can calculate Intersection, Union, and Complement of the neutrosophic set. Figure 3 presents our neutrosophic package capability to draw figures of presented neutrosophic set. Figure 4 presents charting of Union operation calculation, and figure 5 Intersection Operation. neutrosophic set are characterized by its efficiency as it takes into consideration the three data items: True, Intermediate, and False. -/- . (shrink)

This twelfth volume of Collected Papers includes 86 papers comprising 976 pages on Neutrosophics Theory and Applications, published between 2013-2021 in the international journal and book series “Neutrosophic Sets and Systems” by the author alone or in collaboration with the following 112 co-authors (alphabetically ordered) from 21 countries: Abdel Nasser H. Zaied, Muhammad Akram, Bobin Albert, S. A. Alblowi, S. Anitha, Guennoun Asmae, Assia Bakali, Ayman M. Manie, Abdul Sami Awan, Azeddine Elhassouny, Erick González-Caballero, D. Dafik, Mithun Datta, Arindam (...) Dey, Mamouni Dhar, Christopher Dyer, Nur Ain Ebas, Mohamed Eisa, Ahmed K. Essa, Faruk Karaaslan, João Alcione Sganderla Figueiredo, Jorge Fernando Goyes García, N. Ramila Gandhi, Sudipta Gayen, Gustavo Alvarez Gómez, Sharon Dinarza Álvarez Gómez, Haitham A. El-Ghareeb, Hamiden Abd El-Wahed Khalifa, Masooma Raza Hashmi, Ibrahim M. Hezam, German Acurio Hidalgo, Le Hoang Son, R. Jahir Hussain, S. Satham Hussain, Ali Hussein Mahmood Al-Obaidi, Hays Hatem Imran, Nabeela Ishfaq, Saeid Jafari, R. Jansi, V. Jeyanthi, M. Jeyaraman, Sripati Jha, Jun Ye, W.B. Vasantha Kandasamy, Abdullah Kargın, J. Kavikumar, Kawther Fawzi Hamza Alhasan, Huda E. Khalid, Neha Andalleb Khalid, Mohsin Khalid, Madad Khan, D. Koley, Valeri Kroumov, Manoranjan Kumar Singh, Pavan Kumar, Prem Kumar Singh, Ranjan Kumar, Malayalan Lathamaheswari, A.N. Mangayarkkarasi, Carlos Rosero Martínez, Marvelio Alfaro Matos, Mai Mohamed, Nivetha Martin, Mohamed Abdel-Basset, Mohamed Talea, K. Mohana, Muhammad Irfan Ahamad, Rana Muhammad Zulqarnain, Muhammad Riaz, Muhammad Saeed, Muhammad Saqlain, Muhammad Shabir, Muhammad Zeeshan, Anjan Mukherjee, Mumtaz Ali, Deivanayagampillai Nagarajan, Iqra Nawaz, Munazza Naz, Roan Thi Ngan, Necati Olgun, Rodolfo González Ortega, P. Pandiammal, I. Pradeepa, R. Princy, Marcos David Oviedo Rodríguez, Jesús Estupiñán Ricardo, A. Rohini, Sabu Sebastian, Abhijit Saha, Mehmet Șahin, Said Broumi, Saima Anis, A.A. Salama, Ganeshsree Selvachandran, Seyed Ahmad Edalatpanah, Sajana Shaik, Soufiane Idbrahim, S. Sowndrarajan, Mohamed Talea, Ruipu Tan, Chalapathi Tekuri, Selçuk Topal, S. P. Tiwari, Vakkas Uluçay, Maikel Leyva Vázquez, Chinnadurai Veerappan, M. Venkatachalam, Luige Vlădăreanu, Ştefan Vlăduţescu, Young Bae Jun, Wadei F. Al-Omeri, Xiao Long Xin.‬‬‬‬‬‬. (shrink)

BACKGROUND: In today’s world of increased awareness regarding the concepts of corporate social responsibility (CSR) and corporate governance (CG), many firms in the developed countries consider noncompliance with CSR and CG standards as an important source of risk to their reputations with stakeholders. OBJECTIVE: The aim of this study is to investigate the relationship between the corporate social responsibility disclosure (CSRD) index and corporate factors, namely, board size, board independence, board meetings, CEO duality, a firm’s size, leverage, profitability and age. (...) This is the first known study in the case of Saudi Arabia to use the GRI 4th edition indicators to construct the CSRD index and evaluate Saudi listed firms. Results: The results show that profitability and size factor have positive and significant association with CSR disclosure in listed Saudi firms. While CG characteristics have no impact on CSR disclosure except board independence which has a negative impact. Conclusion: The average of CSRD index among Saudi firms is too low, it is about 11% that means Saudi firms disclose 11% of the information that they have to provide for stockholders according to GRI guidelines. Furthermore, the study concludes that the most polluted sectors “Ener. (shrink)

Abstract: The Spotify Status Dataset is a valuable resource that provides real-time insights into the operational status and performance of Spotify, a popular music streaming platform. This dataset contains a wide array of information related to server uptime, user activity, service disruptions, and more, serving as a critical tool for both Spotify's internal monitoring and the broader data analysis community. As digital services like Spotify continue to play a central role in music consumption, understanding the platform's status becomes crucial for (...) ensuring a seamless user experience. This dataset offers numerous research and analysis opportunities, whether you're interested in exploring service availability trends or investigating user behavior patterns during service disruptions. This study highlights the significance of the Spotify Status Dataset, its potential applications, and the valuable insights it can offer to various stakeholders, from Spotify engineers working to enhance service reliability to researchers studying the effects of downtime on user engagement. It invites readers on a journey through this dataset to uncover the secrets of Spotify's operational status and its impact on music enthusiasts worldwide. (shrink)

This paper seeks to determine the extent of anti-corruption information disclosure in the sustainability reports originating from Gulf countries. Focus primarily on the fight against corruption, this study utilizes a deeply-rooted content analysis technique of corporate sustainability reporting, covering 66 Gulf Cooperation Council (GCC) firms during 2014. Strengthened by the application of institutional theory, insight into the results points to a state of limited maturity regarding the disclosure of anti-corruption procedures in the region. More specifically, the results highlight the compliance (...) in the reporting of conduct code, while reporting information on whistle-blowing was significantly less in comparison. Firms in Qatar and UAE ultimately release better informed reports; inclusive of detailed information on internal anti-corruption practices. (shrink)

This edited volume is designed to explore different perspectives of culture, identity and social development using the impact of the digital age as a common thread, aiming at interdisciplinary audiences. Cases of communities and individuals using new technology as a tool to preserve and explore their cultural heritage alongside new media as a source for social orientation ranging from language acquisition to health-related issues will be covered. Therefore, aspects such as Art and Cultural Studies, Media and Communication, Behavioral Science, Psychology, (...) Philosophy and innovative approaches used by creative individuals are included. From the Aboriginal tribes of Australia, to the Maoris of New Zealand, to the mystical teachings of Sufi brotherhoods, the significance of the oral and written traditions and their current relation to online activities shall be discussed in the opening article. The book continues with a closer look at obesity awareness support groups and their impact on social media, Facebook usage in language learning context, smartphone addiction and internet dependency, as well as online media reporting of controversial ethical issues. The Digital progress has already left its dominating mark as the world entered the 21st century. Without a doubt, as technology continues its ascent, society will be faced with new and altering values in an effort to catch-up with this extraordinary Digitization, adapt satisfactorily in order to utilize these strong developments in everyday life. (shrink)

Ancient Egyptians precisely direct their temples and tombs to specific astronomical points, as attested in the designs of the Old kingdom pyramids and related temples. Likewise, the same approach was used in many religious and funerary buildings across the sequential historical epochs of ancient Egypt. This research introduces what can be called "astronomical design improvements" conducted by ancient Egyptians to secure a precise orientation for a specific direction of religious and funerary monuments. Moreover, this precise orientation requires observatories used for (...) the orientation and monitoring of geographical directions. Therefore, this paper discusses the inquiring; are there any Astronomical Observatories evidences in ancient Egypt? (shrink)

Recently, the sustainability concept has become a prominent topic in the tourism and hospitality field, particularly after the COVID-19 pandemic. In response, this study undertook a systematic review of 176 articles to identify the research trends in sustainability within the tourism and hospitality area in the post-COVID-19 era. Using thematic analysis, this study identified five key research trends. The findings offer a thorough overview of the changing research landscape regarding sustainability in the field of tourism and hospitality. Consequently, the study (...) provided recommendations for practitioners and researchers aiming to promote sustainability in the industry. (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)

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)

This study employs a neural network to analyze the connection between smoking, drinking, and various health-related factors using a dataset of 5148 samples. Achieving an impressive 99.94% accuracy and an average training error of 0.0016, the model identifies influential factors such as serum aminotransferases, serum creatinine, sex, weight, and triglyceride levels. These findings enhance our understanding of lifestyle choices and their impact on health. This research underscores the potential of machine learning in studying complex health phenomena.

This book was compiled in order to connect the dots between past and present expressions of significant phenomena in media and culture. It attempts to provide a “big picture” perspective on how contemporary relevant manifestations of the entertainment industry, artistic expression, mediated civic engagement, technological infrastructure, or automated information control evolved from subversive surroundings, niche markets, and underestimated potentials to shaping forces in today's society. This book can be seen as both, a celebration of past and present achievements of creative (...) expression, artistic articulation, cultural contributions, and mediated movements for the sake of liberalization and democracy, and a warning against a “cultural revolution” defined by censorship, suppression of pluralist opinions, unnatural conformity in science and journalism, and the distinction between “fake news” and “fact” handled by artificial intelligence or part-time fact checkers. (shrink)

This chapter aims to direct attention to the political dimension of the social media age. Although current events like the Cambridge Analytica data breach managed to raise awareness for the issue, the systematically organized and orchestrated mechanisms at play still remain oblivious to most. Next to dangerous monopoly-tendencies among the powerful players on the market, reliance on automated algorithms in dealing with content seems to enable large-scale manipulation that is applied for economical and political purposes alike. The successful replacement of (...) traditional parties by movements based on personality cults around marketable young faces like Emmanuel Macron or Austria’s Sebastian Kurz is strongly linked to products and services offered by an industry that simply provides likes and followers for cash. Inspired by Trump’s monopolization of the Twitter-channel, these new political acteurs use the potential of social media for effective message control, allowing them to avoid confrontations with professional journalists. In addition, an extremely active minority of organized agitators relies on the viral potential of the web to strongly influence and dictate public discourse – suggesting a shift from the Spiral of Silence to the dangerous illusion of a Nexus of Noise. (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)

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)

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)

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: 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)

This volume compiles international contributions that explore the potential risks and chances coming along with the wide-scale migration of society into digital space. Suggesting a shift of paradigm from Spiral of Silence to Nexus of Noise, the opening chapter provides an overview on systematic approaches and mechanisms of manipulation – ranging from populist political players to Cambridge Analytica. After a discussion of the the juxtaposition effects of social media use on social environments, the efficient instrumentalization of Twitter by Turkish politicans (...) in the course of the US-decision to recognize Jerusalem as Israel’s capital is being analyzed. Following a case study of Instagram, Black Lives Matter and racism is a research about the impact of online pornography on the academic performance of university students. Another chapter is pointing out the potential of online tools for the successful relaunch of shadow brands. The closing section of the book deals with the role of social media on the opinion formation about the Euromaidan movement during the Ukrainian revolution and offers a comparative study touching on Russian and Western depictions of political documentaries in the 2000s. (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. "#MeToo avant la lettre." Filosofie-Tijdschrift 28, no. 3 (May 2018): 35–39.

This article is the attempt of an historically oriented analysis focused on the role of Nigerian music as a cultural hub for the export of African cultural influences into the Black diaspora in the United States and its anticipation by the Free Jazz/Avantgarde-scene as well as the import of key-values related to the Black Power-movement to the African continent. The aim is to demonstrate the leading role and international impact of Nigeria's cultural industry among sub-saharan African nation states and its (...) specific ability to absorb and incorporate elements of Western culture. -/- After a short discussion of African influences on jazz music in general and the socio-political, cultural, and artistic context in which Free Jazz emerged, examples for the articulation of African consciousness among influencing key figures such as saxophonist John Coltrane or the Art Ensemble of Chicago are being presented. Furthermore, the personal and ideological links between the Avantgarde Jazz-scene and the Black Power-movement - especially the Black Panther Party - are made transparent. -/- In a second step the central influence of the Nigerian drum-pioneer Babatunde Olatunji on the Africanization of US-Jazz musicians, his personal and creative impact on John Coltrane, as well as the Black Power-movement is being highlighted. On the other hand, Coltrane, Free Jazz, and the Black Panther Party are being portrayed as a central creative and ideological turn in the career and work of Fela Kuti and towards political activism and his efforts to implement and apply the Africa-inspired Black Power -struggle of the US on the African continent in order to fight post-colonial forms of oppression. -/- . (shrink)

This article is discussing the possibilities of new media technologies in the context of transmitting ancient spiritual traditions in various cultural and religious backgrounds. The use of internet as a means to preserve the orally transmitted knowledge of the Aboriginals and Maoris, and in doing so transferring their cultural heritage to their younger generations and interest groups. Following is an extended case study of the Naqshbandi Sufi Order and its specific compatibility of a traditional orientation towards spiritual work among people (...) rather than monastic seclusion and its recent application of digital media resources. Therefore, new technology is being discussed as a logical extension, not without attention being drawn to possible limitations, however. (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.

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.

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)

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)

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)

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)

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)

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)

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)

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)

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)

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: Early detection of breast cancer plays a pivotal role in improving patient prognosis and reducing mortality rates. Recent technological advancements have significantly enhanced the accuracy and effectiveness of breast cancer screening methods. This paper explores the latest innovations in early detection, including the evolution of digital mammography, the impact of 3D mammography (tomosynthesis), and the use of advanced imaging techniques such as molecular imaging and MRI. Furthermore, the integration of artificial intelligence (AI) in diagnostic tools is discussed, highlighting how (...) machine learning algorithms are refining imaging analyses and reducing diagnostic errors. Advances in genetic screening, liquid biopsies, and biomarkers are also examined, showcasing their potential in identifying high-risk individuals and enabling personalized treatment plans. This paper provides insights into the future of breast cancer detection, outlining both the opportunities and challenges that lie ahead in adopting these innovative technologies to improve patient outcomes. (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)

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)

Abstract: Artificial Intelligence (AI) is revolutionizing the agricultural sector by enhancing productivity and sustainability. This paper explores the transformative impact of AI technologies on agriculture, focusing on their applications in precision farming, predictive analytics, and automation. AI-driven tools enable more efficient management of crops and resources, leading to improved yields and reduced environmental impact. The paper examines key AI technologies, including machine learning algorithms for crop monitoring, robotics for automated planting and harvesting, and data analytics for optimizing resource use. Additionally, (...) it addresses challenges such as data privacy, technology adoption barriers, and the ethical implications of AI in farming. By integrating AI into agricultural practices, the industry can achieve greater efficiency and sustainability, paving the way for future advancements. (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)

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)

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 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 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 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)

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)

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)

There is no doubt that tomato diseases are one of the important reasons that destroy the tomato plant and its crops. This leads to clear 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 to avoid damage to these plants. The expert system diagnoses tomato disease correctly to facilitate farmers (...) to find the correct treatment based on the appropriate diagnosis. Objectives: An expert system has been established based on CLIPS to diagnose tomato plant disease. (shrink)

This study aimed to identify the learning and business incubation processes and their impact on developing the performance of business incubators in Gaza Strip, and the study relied on the descriptive analytical approach, and the study population consisted of all employees working in business incubators in Gaza Strip in addition to experts and consultants in incubators where their total number reached (62) individuals, and the researchers used the questionnaire as a main tool to collect data through the comprehensive survey method, (...) where (55) questionnaires were retrieved with a recovery rate of (88.7%). The results of the study showed that there is a high approval of the variables of the study, where the dimension of incubation operations came with a relative weight (84.89%), followed by the learning dimension which got a relative weight (82.50%), while the performance level of the incubators got a relative weight (80.12%) and as the study results showed There is a positive relationship statistically between the two dimensions of learning and business incubation processes and performance development in business incubators, and the linear regression analysis model showed that the main effect in improving the performance of business incubators is "after business incubation operations" while it showed weak effect after learning. The study came out with several recommendations, the most important of which is that business incubators seek to reinforce the learning process and incubation processes for business, and the need to periodically evaluate their performance, and that a more effective mechanism be designed to follow up with companies after the end of the incubation period and monitor the progress of these companies. (shrink)