Scientific journals ask authors to put their manuscripts, at the submission stage, sometimes in a complex style and a specific pagination format that are time consuming while it is unclear yet that the submitted manuscripts will be accepted. In the case of rejections, authors need to submit to another journal most likely with a different style and formatting that require additional work and time. To save authors’ time, publishers should allow authors to submit their manuscripts in any format and to (...) comply with the style required by the targeted journal only in revised versions, but not at the submission step when the manuscripts are not yet approved for publication. (shrink)

High percentages of submitted papers are rejected at editorial levels without offering a second chance to authors by sending their papers for further peer-reviews. In most cases, the rejections are typical quick answers without helpful argumentations related to the content of the rejected material. More surprisingly, some journals vaunt their high rejection rates as a “mark of prestige”!However, journals that reject high percentages of submitted papers have built their prominent positions based on a flawed measure, the impact factor, and from (...) a long and favorable historical context. Their shareholders may think that they are allowed to have a large margin of rejection rates without affecting their sponsorship or funding sources thanks to an extended anchorage since tens, or in some cases hundreds, of years compared to unknown or new journals that struggle to pave a way in the scientific publication world. Historical anchorage of some journals also makes it unfair to compare old and new .. (shrink)

Journal impact factor is a value calculated annually based on the number of times articles published in a journal are cited in two, or more, of the preceding years. At the time of its inception in 1955 , the inventor of the impact factor did not imagine that 1 day his tool would become a controversial and abusive measure, as he confessed 44 years later . The impact factor became a major detrimental factor of quality, creating huge pressures on authors, (...) editors, stakeholders and funders. More tragically, in some countries the number of publications in journals with “high impact factors” condition the allocation of government funding for entire institutions . Based on the assumption that IF reflects scientific quality, the impact factor produces a widespread impression of prestige and reputation, though no experimental data support this hypothesis .The impact factor was originally conceived as a bibliome .. (shrink)

In their recent paper, Esfe et al. present some criteria for fake journals and propose some ‘features’ to recognize them. While I share most of the authors’ concerns about this issue in general, some of the reported criteria are not fit to differentiate fake journals from genuine ones. Here are some examples derived from their list, which illustrate that such criteria are not necessarily specific to fake journals only, but they could also apply to well-established journals and, therefore, should not (...) be considered as is. (shrink)

Plants have evolved with complex signaling circuits that operate under multiple conditions and govern numerous cellular functions. Stress signaling in plant cells is a sophisticated network composed of interacting proteins organized into tiered cascades where the function of a molecule is dependent on the interaction and the activation of another. In a linear scheme, the receptors of cell surface sense the stimuli and convey stress signals through specific pathways and downstream phosphorylation events controlled by mitogen-activated protein (MAP) kinases and second (...) messengers, leading to appropriate adaptive responses. The specificity of the pathway is guided by scaffolding proteins and docking domains inside the interacting partners with distinctive structures and functions. The flexibility and the fine-tuned organization of the signaling molecules drive the activated MAP kinases into the appropriate location and connection to control and integrate the information flow. Here, we overview recent findings of the involvement of MAP kinases in major abiotic stresses (drought, cold and temperature fluctuations) and we shed light on the complexity and the specificity of MAP kinase signaling modules. (shrink)

The cover letter is not the main text destined to be evaluated or published. The content of the cover letter is already overlapped and redundant with the article's abstract. Cover letters look like the ‘misleading’ commercial ads; as good or as bad as they might be, they do not change the inherent value of the advertised product. The significance of a manuscript should be manifest in the 200–300 words of its abstract and alongside the manuscript as a whole. The aim (...) of cover letter to impress editors, recruiters or hiring managers, would give only a false and ephemeral impression because the veritable, lasting, impression is that ulterior impression related to the innate value of the candidate (or the manuscript), not from a cover letter that ends in the trash. (shrink)

The Internet has revolutionized the way knowledge is currently produced, stored and disseminated. A few finger clicks on a keyboard can save time and many hours of search in libraries or shopping in stores. Online trademarks with an prefix such as e-library, e-business, e-health etc., are increasingly part of our daily professional vocabularies. However, the Internet has also produced multiple negative side effects, ranging from an unhealthy dependency to a dehumanization of human relationships. Fraudulent, unethical and scam practices are also (...) flourishing through for example misleading online advertising methods. Some social and professional networks gather users’ profiles for selling and advertising purposes, sometimes by making it technically difficult to unsubscribe. Here, I discuss some of these unethical aspects and propose some potential solutions to reduce them. (shrink)

Abstract: In this research, the Artificial Neural Network (ANN) model was developed and tested to predict the rate of treatment expenditure on an individual or family in a country. A number of factors have been identified that may affect treatment expenses. Factors such as age, grade level such as primary, preparatory, secondary or college, sex, size of disability, social status, and annual medical expenses in fixed dollars excluding dental and outpatient clinics among others, as input variables for the ANN model. (...) A model based on the multi-layer Perceptron topology was developed and trained using data on 5574 cases. The evaluation of the test data shows that the ANN model is capable of predicting correctly Medical Expenses. (shrink)

Abstract Alzheimer's disease has spread insanely throughout the world. Early detection and intervention are essential to improve the chances of a positive outcome. This study presents a new method to predict a person's likelihood of developing Alzheimer's using a neural network model. The dataset includes 373 samples with 10 features, such as Group,M/F,Age,EDUC, SES,MMSE,CDR ,eTIV,nWBV,Oldpeak,ASF.. A four-layer neural network model (1 input, 2 hidden, 1 output) was trained on the dataset and achieved an accuracy of 98.10% and an average error (...) of 0.01. This study provides a valuable tool for early detection and intervention of Alzheimer's, thus contributing to the field of health and medicine. (shrink)

Multiple inherent biases related to different citation practices (for e.g., self-citations, negative citations, wrong citations, multi-authorship-biased citations, honorary citations, circumstantial citations, discriminatory citations, selective and arbitrary citations, etc.) make citation-based bibliometrics strongly flawed and defective measures. A paper can be highly cited for a while (for e.g., under circumstantial or transitional knowledge), but years later it may appear that its findings, paradigms, or theories were untrue or invalid anymore. By contrast, a paper may remain shelved or overlooked for years or (...) decades, but new studies or discoveries may actualize its subject at any moment. As citation-based metrics are transformed into "commercial activities," the "citation credit" should be considered on a commercial basis too, in the sense that "citation credit" should be shared out as a "citation dividend" by shareholders (coauthors) averagely or proportionally to their contributions but not fully appropriated by each of them. At equal numbers of citations, the greater number of authors, the lower "citation credit" should be and vice versa. Overlooking the presence of distorted and subjective citation practices makes many people and administrators "obsessed" with the number of citations to such an extent to run after "highly cited" authors and to create specialized citation databases for commercial purposes. Citation-based bibliometrics, however, are unreliable and unscientific measures; citation counts do not mean that a more cited work is of a higher quality or accuracy than a less cited work because citations do not measure the quality or accuracy. Citations do not mean that a highly cited author or journal is more commendable than a less cited author or journal. Citations are not more than countable numbers: no more, no less. (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)

Heart failure is a major cause of death worldwide. Early detection and intervention are essential for improving the chances of a positive outcome. This study presents a novel approach to predicting the likelihood of a person having heart failure using a neural network model. The dataset comprises 918 samples with 11 features, such as age, sex, chest pain type, resting blood pressure, cholesterol, fasting blood sugar, resting electrocardiogram results, maximum heart rate achieved, exercise-induced angina, oldpeak, ST_Slope, and HeartDisease. A neural (...) network model with four layers (1 input and 1 output) was trained on the dataset and achieved an accuracy of 90% and an average error of 0.009. The most influential factors in heart failure prediction were found to be oldpeak, ST_Slope, sex, fastingBS, chestPainType, exerciseAngina, cholesterol, restingBP, maxHR, restingBP, and age. This study provides a valuable tool for early detection and intervention of heart failure, thereby contributing to the field of health and medicine. (shrink)

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

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

Abstract: This paper presents an artificial neural network based approach for the diagnosis of hepatitis virus. A number of factors that may possibly influence the performance of patients were outlined. Such factors as age, sex, Steroid, Antivirals, Fatigue, Malaise, Anorexia, Liver Big, Liver Firm Splean Palpable, Spiders, Ascites, Varices, Bilirubin, Alk Phosphate, SGOT, Albumin, Protine and Histology, were then used as input variables for the ANN model . Test data evaluation shows that the ANN model is able to correctly predict (...) the diagnosis of more than 93% of prospective Patients. (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)

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)

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)

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)

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)

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)

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)

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.

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.

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 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)

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 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)

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)

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)

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)

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

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

van Els, Paul. "Aanvaard het lot" (Accept Fate). Review of De geschriften van Liezi: de taoïstische kunst van het relativeren, by Jan De Meyer. China Nu 34, no. 1 (2009): 46–47.

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)

van Els, Paul. "De Meester spreekt nu eindelijk Nederlands" (The Master Finally Speaks Dutch). Review of Confucius: de Gesprekken, by Kristofer Schipper. Filter 22, no. 1 (2015): 55–56.

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. "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.

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

Cet article présente l’enseignement à distance pendant la période du confinement sanitaire au Maroc. Pour comprendre le fonctionnement de ce mode d’enseignement, points forts et lacunes, nous avons réalisé une enquête auprès d’un échantillon composé de trente élèves de première année du baccalauréat et dix enseignant(e)s, spécialité Français, pour la période à partir de 20 Mars 2020 jusqu’au 20 Mars 2021. Dans ce cadre, nous mettrons d’abord en évidence le contexte de la mise en œuvre de l’enseignement à distance et (...) ses diverses notions. Nous montrerons ensuite le passage de l’enseignement présentiel à l’enseignement à distance pendant la période du confinement sanitaire. Nous présenterons après l’expérience de l’enseignement à distance vécue par les élèves et les enseignants. Pour aboutir finalement aux conclusions résultant de cette nouvelle expérience. -/- . (shrink)

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

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