Artificial intelligence (AI), deep learning, machine learning and neural networks represent extremely exciting and powerful machine learning-based techniques used to solve many real-world problems. Artificial intelligence is the branch of computer sciences that emphasizes the development of intelligent machines, thinking and working like humans. For example, recognition, problem-solving, learning, visual perception, decision-making and planning. Deep learning is a subset of machine learning in artificial intelligence that has networks capable of learning unsupervised from data that is unstructured or unlabeled. Deep learning (...) is a technique used to generate face detection and recognize it for real or fake by using profile images and determine the differences between them. In this study, we used deep learning techniques to generate models for Real and Fake face detection. The goal is determining a suitable way to detect real and fake faces. The model was designed and implemented, including both Dataset of images: Real and Fake faces detection through the use of Deep learning algorithms based on neural networks. We have trained dataset which consists of 9,000 images for total in 150 epochs, and got the ResNet50 model to be the best model of network architectures used with 100% training accuracy, 99.18% validation accuracy, training loss 0.0003, validation loss 0.0265, and testing accuracy 99%. (shrink)

Background: The castor bean is a large grassy or semi-wooden shrub or small tree. Any part of the castor plant parts can suffering from a disease that weakens the ability to grow and eliminates its production. Therefore, in this paper will identify the pests and diseases present in castor culture and detect the symptoms in each disease. Also images is showing the symptom form in this disease. Objectives: The main objective of this expert system is to obtain appropriate diagnosis of (...) the disease. Methods: In this paper, the expert system is designed for the ability of agricultural engineers to detect and diagnose disease of castor like as: seeding blight, alternaria blight, cercospora leaf spot, powdery mildew and wilt. This system presents the disease symptoms, survival and spread, favorable conditions and image for each disease. Clips and Delphi expert system languages are used for designing and implementing the proposed expert system. Results: The expert system in the diagnosis of castor diseases was assessed by farmers and agricultural engineers and they were satisfied and accepted with its quality of performance. Conclusions: The expert system is easy for farmers and people have experience in the plant of castor to detect and diagnosis the symptoms that may face this plant from several disease. (shrink)

The current COVID-19 pandemic and the previous SARS/MERS outbreaks of 2003 and 2012 have resulted in a series of major global public health crises. We argue that in the interest of developing effective and safe vaccines and drugs and to better understand coronaviruses and associated disease mechenisms it is necessary to integrate the large and exponentially growing body of heterogeneous coronavirus data. Ontologies play an important role in standard-based knowledge and data representation, integration, sharing, and analysis. Accordingly, we initiated the (...) development of the community-based Coronavirus Infectious Disease Ontology in early 2020. -/- As an Open Biomedical Ontology (OBO) library ontology, CIDO is open source and interoperable with other existing OBO ontologies. CIDO is aligned with the Basic Formal Ontology and Viral Infectious Disease Ontology. CIDO has imported terms from over 30 OBO ontologies. For example, CIDO imports all SARS-CoV-2 protein terms from the Protein Ontology, COVID-19-related phenotype terms from the Human Phenotype Ontology, and over 100 COVID-19 terms for vaccines (both authorized and in clinical trial) from the Vaccine Ontology. CIDO systematically represents variants of SARS-CoV-2 viruses and over 300 amino acid substitutions therein, along with over 300 diagnostic kits and methods. CIDO also describes hundreds of host-coronavirus protein-protein interactions (PPIs) and the drugs that target proteins in these PPIs. CIDO has been used to model COVID-19 related phenomena in areas such as epidemiology. The scope of CIDO was evaluated by visual analysis supported by a summarization network method. CIDO has been used in various applications such as term standardization, inference, natural language processing (NLP) and clinical data integration. We have applied the amino acid variant knowledge present in CIDO to analyze differences between SARS-CoV-2 Delta and Omicron variants. CIDO's integrative host-coronavirus PPIs and drug-target knowledge has also been used to support drug repurposing for COVID-19 treatment. -/- CIDO represents entities and relations in the domain of coronavirus diseases with a special focus on COVID-19. It supports shared knowledge representation, data and metadata standardization and integration, and has been used in a range of applications. (shrink)

My aim in this paper is to carve out a political understanding of the Muslim identity. The Muslim identity is shaped within a religious mold. Inseparable from this religious understanding is a political one that is valuable in its own right in order to secure any sustainable possibility of participating politically as Muslims within a democratic liberal democracy, such as the United States. Here I explore not the historical or theological formation of the Muslim identity, rather a metaphysical understanding of (...) it, in order to mobilize politically while avoiding the traps of essentialism. I begin with a brief overview of the early understandings of the term “identity politics” in the United States. Moving beyond interest-based movements I explore María Lugones' particular understanding of the self as multiplicitous. I then offer examples of the Muslim identity within the context of a social movement and individualist claims, in order to draw out the political aspects of the Muslim identity. In the final section I argue that the theological criteria that define “who counts as a Muslim” is a crucial aspect of how many Muslims may understand their identity as Muslims. However, I claim that in order to avoid the traps of marginalization of Muslim minorities, one must understand oneself as a multiplicitous political agent and that, furthermore, such an understanding is not at odds with Islam or one's own understanding of their identity as Muslim. (shrink)

This article looks at the inadequacy of space available to women in the two most holy sites for all Muslims: Masjid al-Haram in Makkah and Masjid an-Nabawi in Madinah, Saudi Arabia. I argue that religious discourse, shaped by geopolitical factors, has framed piety for women primarily in terms of modesty, such that a woman is often considered a good Muslim if she is visible only within her female community but invisible to the larger society. Furthermore, I argue that the allocation (...) of meager space affects not only the perception of women's religious standing in society, but also women's own perception about their moral selves. The article claims that by being relegated to small sections within religious spaces, women's collective worship is evident neither to the community at large nor can it be fully experienced by individual women, thus placing obstacles in women's path to seek to closeness to God. (shrink)

How do we know that what has happened to us is a microaggression? I claim in this chapter that our understanding about how we perceive microaggression is grounded in the cultivation and critical reflection about experiences of people who occupy marginalized social locations. My aim is to explore the nature of epistemic harms of microaggression in order to highlight how they diminish the microaggressed’s ability to generate and participate in making knowledge claims. I differentiate between the primary (direct) harm of (...) microaggressive acts, and the secondary epistemic harms that occur in the aftermath of the microaggression, particularly when the microaggressed attempts to convey their experience to others. I conclude with an analysis of the two secondary harms in hopes that it helps us explore a possible avenue of resistance to the epistemic harms of microaggression. (shrink)

From the very beginning of his career, Freud tried to define anxiety. The most widespread hypothesis among Freudian scholars is that he developed two theories of anxiety. In the first one, anxiety is conceived as resulting from the transformation of sexual energy that could not be properly discharged. In the second hypothesis, in turn, the concept of anxiety as a reaction to danger is emphasized. This paper sets out to discuss Freud’s early views on affect and anxiety and argues that, (...) even in the earliest stages of the development of his theory, there is an anticipation of the ideas about the relationship between memory and signs of danger, on one hand, and anxiety, on the other, that were to be more thoroughly developed in his 1926 book Inhibitions, Symptoms and Anxiety. Keywords: psychoanalysis; Freud; anxiety; affect; neurosis. (shrink)

In this paper, I explore the significance of an intersectional lens when it comes to our conversations surrounding the #MeToo movement, in particular the way that such a lens helps us in recognizing narratives of sexual assault and harassment that are not typically viewed as such. The mainstream discourse on #MeToo in the United States has been quite exclusionary when it comes to women who are non-dominantly situated within societal structures. In particular, this paper looks at how Muslim American women’s (...) issues surrounding sexual assault and harassment are presented as exotic and a function of their religion and culture, further narrowing what is considered worthy of attention within the discourse of the #MeToo movement. I argue that one such instance of sexual harassment that isn’t seen as such, is hijab snatching within particular contexts. Furthermore, I argue that a lack of an intersectional lens results in not only privileging certain harmful voices under the guise of inclusivity, but even when invaluable voices are allowed to enter mainstream discourse, they are often the sort that sidestep issues of Western imperialistic practices, Islamophobia, racialization of Muslims, etc. I highlight the dangers of speaking for others, especially in ways that attribute sexual violence experienced by Muslim women to their cultures and/or their men. I argue that acknowledging these dangers is in itself a crucial part of an inclusive conversation on #MeToo. (shrink)

Medical billing has become so intertwined with patient care, that in order to be truly committed to the physician's telos of managing a patient's medical suffering, it is imperative that physician ought to reexamine many of the ethical considerations about billing.

The political posture often encouraged in liberatory movements is that of urgency. Urgency is based on the idea that if oppressed peoples do not act “now,” then their fate is forever sealed as subordinates within social and political power hierarchies. This paper focuses on a contrasting political posture, termed presence of mind, motivated by the current political atmosphere of distrust and disenfranchisement in which some Muslim-Americans find themselves. Presence of mind is defined as the ability to critically unpack visceral affective (...) responses to injustice—giving special consideration to power structures, one’s social location, and relationships—and then to asses an appropriate response in virtue of that consideration that best upholds our commitments. This paper argues that cultivating presence of mind acknowledges the complexities of the Muslim-Americans’ identity while providing a posture that allows the resistor to best represent their political commitments. (shrink)

This study deals with the protection of intellectual property rights in French and Iraqi civil law. This is because the literary and life creativity in Iraq is declining, it is difficult to invest money in new things, and the number of people who comply with the artificial laws made since 2003 is increasing, and secondly, another reason, people's ignorance of the existing laws in Iraq. Iraq, so it is necessary. In each legislation, legal mechanisms are used to promote media and (...) life publishing and help people make money in the process of inventing literary and life works, which can be achieved by granting them a series of intellectual property rights that represent different privileges. From the fundamental rights of people, which are psychologically and morally valid at one or more points in time. This leads us to delve deeper into these rights, which have been incorporated into civil subjects since the creation of some of them through exchanges between authors and publishers or those who own innovative objects. This returns to the ownership model of the target company. In this way, we will mainly discuss the issue of intellectual property rights and carefully discuss the specific rights divided between the French Civil Code and the Civil Code, and then turn our attention to the two themes of law and incentives. The Civil Code collapses. This consists of comparing the independence of intellectual property rights, mainly regulated by French and Iraqi civil laws, and secondly with some provisions of the model. (shrink)

Purpose: In this article, we will discuss the narrations and prophecies that exist in Islam, both in Shia, Sunni and other religions regarding Imam Mahdi. This article also attempts to deal with Holy Fatima and her characteristics. Also, we will show that Imam Mahdi is mentioned not only in other religions but also in other books. Also, this research was conducted to answer and clarify three questions that stated in the Introduction section. Methods: We performed our methods in 4 (...) stages: Identifying studies, Selection of Studies, Collating Studies, Reporting results. Results: According to Abrahamic religions, a person will reappear and establish fairness and justice with the help of God, who is called Imam Mahdi and based on the opinion of Christians, he is Christ. If the Shiites, may Allah help them in His obedience, had fulfilled their covenant with united hearts, then there would have been no delay in meeting the Promised Saviour. Conclusion: The concept of Imam Mahdi is universal and cannot just be rejected. The appearance of Imam Mahdi will coincide with the coming back of Jesus Christ. Imam Mahdi, with the assistance of the Messiah, will ensure the completion and practical actualization of the mission of the Prophet Muhammad. The Hidden Imam wrote to Abu-Omar Ameri: The Prophet’s daughter (Holy Fatima) is a nice model for me. We hope this article will take an important step in acquainting people with Imam Mahdi and Jesus Christ and paving the ground for their reappearance. (shrink)

This article examines the portrayal of matricentric feminism as well as expounds the issues of mythology and how both informed each other in Umaru Landan and Dexter Lyndersay’s Shaihu Umar. It argues that Fatima’s sojourn in search of her son, Shaihu, is propelled by a will borne out of motherhood and given strength by supernatural forces. The methodological base of the study is qualitative in nature appropriating the concepts of matricentric feminism and mythology as structural scaffoldings while Jacques Derrida’s (...) concept of deconstruction will be used as analytical framework. This concept attempts to challenge the interpretation of a text based on conventional notions of stability of human self, the external world, and of language and meaning. The philosophy of existence of the eponymous character is revealed in the play. The article tries to probe if the matricentric elements exuded by Fatima (Shaihu’s mother) are just a will tied to motherhood or if it is given strength by the metaphysics of presence and the messianic. (shrink)

Death which is inevitably for every mortal is a sadness for those who are left behind is the cause of sırrrow. While some people reflect this sadness out-word as a tear some of them rebel against this through and cry out. -/- Some of them are traditionally reguired or lamenting as showy. For this reason it is inevitable to reveal the Position of the head of the head In İslam and the fact that it is not permissible to narrate it. (...) As a result of person who dies after A person who dies and sheds tears and silent or vocal crying like the lgnorant. -/- It’s not possible to say that, Permissible to cry after And that person sheds tears and tears. Because this situation is the essence of creation and work of mercy. The prophet Muhammad and Omar (d. 23/644), Fatima (d. 11/632), Ibn Mes’ud (d. 32/652-53), Ibn Omar (d. 73/692) Arecrying because of the death of their loved ones. However it’s understood that It’s not permissible to say the merits and beauty of the person who died from the narrations and to call the shocks of shouting and shouting. And it seen that, If a dead person is crying like that and affect and contribution of the dead person in it, He will see the punishment. This article aims to present to rumors that the prophet and some of companions had cried to their death relatives cried and cried forbidden behaviors and interpret and comment on the narrations about the punishment of the dead by the cry of alive and reveal the permissible and non-pemissible behaviors and forms of crying. (shrink)

This study delves into the feasibility of introducing a market in Barangay Tanagan, Calatagan, Batangas, with a primary focus on assessing its viability and potential impact on local economic development. Utilizing survey questionnaires and employing statistical analysis techniques, the research gathered data from a carefully selected sample of 366 residents out of the total population of 4,224. The study evaluates both the potential benefits and challenges associated with establishing the proposed market. Findings, subjected to thorough analysis through methods such as (...) frequency counts and weighted mean calculations, provide valuable insights into discernible patterns, emerging trends, and relevant correlations. This analytical approach contributes to a pragmatic perspective that informs and guides future studies in the field. The study reveals an interest among respondents in the establishment of public markets in their vicinity, recognizing its potential to bolster the barangay and attract diverse opportunities. The anticipated positive impact extends to fostering economic growth and enhancing local commerce in Barangay Tanagan. Consequently, based on these compelling findings, the researchers advocate for a proposal outlining the establishment of a public market in Barangay Tanagan as a means of addressing the identified needs and aspirations of the community. (shrink)

The precise nature of microaggression purposely obscures the exploration of the intentionality of perpetrator and the quantification of the harm committed. The act fits neatly into a system that privileges some and validates their reality to themselves and to us. This paper explores microaggression and recommends strategies for avoiding its harms.

An area agency on aging is a public or private nonprofit organization designated by the state to address the needs and concerns of all older persons at the regional and local levels in the United States 2019). AAAs have a successful history of developing, coordinating, and implementing comprehensive networks of services and programs that enrich communities and the lives of older adults. AAAs were established through a provision of the Older Americans Act, which was signed into law by President Lyndon (...) B. Johnson. Specifically, AAAs were created with the 1973 reauthorization of the OAA. AAAs create the infrastructure to execute comprehensive long-term support services that ensure the independence of older adults. (shrink)

Abstract The main objective of this study was assessment of the reading comprehension proficiency of grade school learners in terms of the following variables: getting the main idea, noting details, and sequencing of events among the 35 learners of Yusop Dais Elementary School enrolled. The data were gathered through a Reading Comprehension Proficiency Test (RCPT) developed by the researcher. This instrument underwent validation by a panel of experts and pilot testing for reliability analysis where an acceptable coefficient of 0.77 was (...) found. The study found out the significant difference in the level of proficiency along the aforementioned variables. Moreover, study revealed that the level of proficiency was less proficient in the three variables tested and the overall level of proficiency was also less proficient, they have not fully acquire the reading proficiency necessary for them to comprehend the reading materials used. Meanwhile, there was no significant difference in the level of proficiency along the variables, thus the null hypothesis is accepted. The outputs of the study, would give substantial insights for the teachers to develop teaching reading techniques in the grade school level therefore, it is recommended that development of reading remediation program be implemented. Keywords: reading comprehension, assessment, proficiency level, remediation program. (shrink)

O objetivo deste artigo é discutir a teoria do movimento de Aristóteles que, por sua vez, está estreitamente associada a sua cosmologia, onde o Universo é concebido como aquilo que nunca foi gerado, nem é possível perecer, não teve começo, nem terá fim, visto que a matéria, ela mesma, nunca foi gerada.

In its war on terror, the United States tortured and abused individuals in its custody over a decade. This article examines a specific sort of epistemic response by Americans to the use of torture by their government, the sort of response that enables Americans to operate with epistemic ignorance to maintain a favorable construction of their identity as Americans. I lay out the concept of American ignorance as the active production of false and/or incomplete beliefs about what it means to (...) be an American and explore the mechanism through which this ignorance operates in society. The article argues for accountability to create better epistemic environments necessary for any meaningful shift in how Americans perceive themselves qua Americans. (shrink)

This paper argues that one of the most valuable insights that Muslim-Americans ought to bring into the political arena is our affective response to the government of the United States' internal and foreign policies regarding Muslims. I posit the concept of empathy as one such response that ought to inform our foreign policy in a manner inclusive of Muslim-Americans. The scope of our epistemic privilege encompasses the affective response that crosses borders of the nation-state in virtue of our propinquity to (...) the narratives of Muslims globally. Such an affective response is crucial to our selves remaining multiplicitous and whole. Furthermore, I argue that we ought to access and assess those aspects of our identity that make us subject to suspicions of disloyalty, because it is precisely those aspects that can inform our social and political discourse in a more morally adequate and responsive way. (shrink)

This piece contextualizes a discussion by liminal feminists on the identifiers ‘women of color’ and ‘Third World women’ that emerged from some uncomfortable and constructive conversations at the 2015 FEAST conference. I focus on concerns of marginalization and gatekeeping that are far too often reiterated within the uneasy racial dynamics among feminist philosophers.

Foundational relations play an important role in the ontological foundations of conceptual modeling. Their investigation has been theoretically addressed in philosophical/ontological theories, and empirically offered in foundational ontologies (FOs). FOs are comprehensive theories that model the world as top-level entities and relations. Empirically, for modelers aiming to use foundational relations without an urge for entity types, FOs seem to be complex to comprehend, comply with, and integrate in practice. And since the practice of these relations is critical for conceptual modeling (...) tasks, we present an approach that builds a well-founded entity-type free relations theory within a first-order-logic formalization, besides large complex FOs. The theory contributes to a minimal set of foundational ontological relations (FORT) by importing extant theories (mereotopology and location) and (re-)formalizing other relations (dependence, membership, constitution, and entity-location), while no FO has compromised this set. (shrink)

This essay is a conversation between two South Asian Muslim sisters both of whom are feminist academics of color, where one immigrated to the United States and the other, a decade apart, to United Kingdom. The aim of this essay is to examine the ways in which white supremacist structures influenced and molded our personal journeys as well as how our narratives are deeply entangled within broader conversations around patriarchy, neo-liberal feminism, and anti-Muslim racism.

This chapter argues that the Earth King of Ba Sing Se, King Kuei, willfully maintained ignorance of the true state of his kingdom so that he could enjoy the privileges that came with his position, while remaining derelict in his duty to his people. The King maintains this ignorance at the expense of his people, both by condoning certain urban designs and by resisting knowledge that upsets his lifestyle. When the Avatar team first arrive at Ba Sing Se in “City (...) of Walls and Secrets,” Joo Dee tells them that the city has many walls and each wall serves a purpose, but people know there is more to the walls than their utility. This chapter looks at the ways that urban design promote artificial social homogeneity and prevent cross‐economic and cultural socialization. (shrink)

In this chapter, I deal with some of the reasons why the United States should not institute any implicit or explicit religion-based tests as grounds for immigration. I argue it is extremely impractical to formulate and execute a test that would be effective in rooting out extremists. However, even if such a test could be devised, immigration requirements that link religion to belonging inevitably foster an irrational fear of an entire group of people as perpetual outsiders. Furthermore, religion-based immigration tests (...) set up a state apparatus where the government surveils its residents for their thoughts and beliefs. (shrink)

Can doctors maintain good character? This paper shifts the focus from patient care to ethical considerations that bear on the physician and impact her as a person. By decentering patient care, the paper highlights certain factors that habituate a particular way of reasoning that is not conducive to inculcating good character. Such factors include, standards of professionalism, being influenced by external monitors, and emphasis on adherence to guidelines. While such factors may benefit patients, they often adversely affect the character of (...) physicians. (shrink)

The underlying objective of this project is to examine the ways in which the exclusionary status of Muslim-Americans remains unchallenged within John Rawls’ version of political liberalism. Toward this end, I argue that the stipulation of genuine belief in what is reasonably accessible to others in our society is an unreasonable expectation from minorities, given our awareness of how we are perceived by others. Second, using the work of Lisa Schwartzman, I show that Rawls’ reliance on abstraction of closed society (...) legitimizes the exclusion of citizens with marginal social locations. And finally, applying Charles Mills’ critique of ideal theory, I argue that Rawls’ idealization of a posture of civic friendship detracts from a discussion of equally significant societal values while sustaining existing social hierarchies. (shrink)

Overall, this book is indispensable for anyone wanting to have a richer understanding of how the Qur’an is read and interpreted within a feminist context. It is a wonderful synthesis of the work that has been done in the field thus far and provides tools necessary to seek out new avenues in understanding the Qur’an while still retaining a feminist spirit. Yet, in the end, this book does not disturb Muslim world order. It remains an overwhelming possibility for Hidayatullah that (...) interpretations which hierarchally differentiate between men and women may not be wrong. There is a comforting sense of resignation, or at least an affirmation of the ambivalence that Muslim mothers have transmitted to their daughters for centuries. We, feminist Muslims, are left with the same ambiguity with which we started the book. However, we now have a much deeper understanding of the nature of that ambiguity, and that perhaps is worth embracing in itself. (shrink)

Abstract: This research delves into the utilization of Artificial Neural Networks (ANNs) as a powerful tool for predicting the overall ratings of books by leveraging a diverse set of attributes. To achieve this, we employ a comprehensive dataset sourced from Goodreads, enabling us to thoroughly examine the intricate connections between the different attributes of books and the ratings they receive from readers. In our investigation, we meticulously scrutinize how attributes such as genre, author, page count, publication year, and reader reviews (...) influence a book's overall rating. Through rigorous analysis and experimentation, we construct an advanced ANN model tailored for predictive analysis in the realm of book ratings. The outcomes of our study reveal the remarkable potential of ANNs in this domain. The ANN model exhibits an impressive level of accuracy when it comes to forecasting book ratings, underlining the efficacy and promise of artificial neural networks in enhancing our understanding and prediction of book evaluations. This research opens up new avenues for leveraging machine learning techniques to gain deeper insights into the dynamics of book ratings and reader preferences. (shrink)

Security and privacy are the major concerns in the internet of things (IoT) which are uncertain and unpredictable. Trust aware routing is one of the recent and effective strategies which ensure better resilience for IoT nodes from different security threats. Towards such concern, this paper proposes a new strategy called independent onlooker withstanding trust aware routing (IOWTAR) for IoT. IOWTAR introduced a new compound trust metric by combining three individual metrics namely independent trust, onlooker trust, and withstanding trust (a combination (...) of resilient trust and immovability trust). Independent trust and onlooker trust are assessed based on direct and indirect experiences of nodes about their neighbor nodes. Withstanding trust is assessed based on the stability and resilience of nodes towards dynamic topological changes and network failures respectively. Further, this work adapted the Firefly algorithm (FFA) to optimize the weights of individual trusts and establishes a secure path. Simulation experiments carried out over the proposed method had shown its superiority in terms of packet delivery ratio, delay, and throughput. The proposed method has gained an average improvement in the throughput is of 23.71%, 20.18%, 17.27%, and 2.88% from PSO, GSA, WOA, and CBBMOR-TSM-IOT methods respectively. (shrink)

Abstract: The emergence of the novel coronavirus (COVID-19) in 2019 has presented the world with an unprecedented global health crisis. The rapid and widespread transmission of the virus has strained healthcare systems, disrupted economies, and challenged societies. In response to this monumental challenge, the intersection of technology and healthcare has become a focal point for innovation. This research endeavors to leverage the capabilities of Artificial Neural Networks (ANNs) to develop an advanced predictive model for forecasting the spread of COVID-19. It (...) involves the collection, analysis, and integration of diverse datasets encompassing epidemiological, clinical, and social factors that influence the virus's dissemination. (shrink)

This study was conducted with the aim of developing the academic work in the Palestinian universities. No one can deny the technological stage that we are witnessing in the present era. Our mission is to use this development to develop the educational process. The Artificial Intelligence of the most important branches of computer science, which is interested in the development of computer software in order to make them simulate intelligent human, recently it emerged promised based on artificial intelligence applications are (...) intelligent tutoring system one of the most prominent of these applications is the most useful in the field of education. Intelligent tutoring system are programs that are helping the student and the teacher in the educational process, so that the student exploits these systems to increase his education and the acquisition of scientific skills, and we are not exaggerating if we say that the future of the development of the educational process is through the development of intelligent private teaching systems because it adapts to me intellectual level of the student as well as easy to use and available 24 hours every day. In this study, a smart tutor was designed using the ITSB tool developed by Prof. Sami Abu Nasser to develop the process of teaching the computer skills course. This course is a university course that teaches students of Israa University on different samples of students. After completion of the course, and evaluate the special lecturers who studied the course and used the system in the process of teaching and arrived at a set of conclusions and recommendations make sure that the use of the tutor Smart smartphone is important in the development of laboratory teaching has positive results in improving the level of scientific student . (shrink)

Malaria is a life-threatening disease spread to humans by some types of mosquitoes. It is mostly found in tropical countries. It is preventable and curable. The infection is caused by a parasite and does not spread from person to person. Symptoms can be mild or life-threatening. Mild symptoms are fever, chills and headache. Severe symptoms include fatigue, confusion, seizures, and difficulty breathing. Infants, children under 5 years, pregnant women, travelers and people with HIV or AIDS are at higher risk of (...) severe infection. Discovering this disease is 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 spreading this disease. The expert system diagnoses malaria disease correctly to facilitate doctors to find the correct treatment based on the appropriate diagnosis. Objectives: An expert system has been established based on CLIPS to diagnose malaria disease. (shrink)

Abstract: Ensuring the proactive detection of transaction risks is paramount for financial institutions, particularly in the context of managing credit scores. In this study, we compare different machine learning algorithms to effectively and efficiently. The algorithms used in this study were: MLogisticRegressionCV, ExtraTreeClassifier,LGBMClassifier,AdaBoostClassifier, GradientBoostingClassifier,Perceptron,RandomForestClassifier,KNeighborsClassifier,BaggingClassifier, DecisionTreeClassifier, CalibratedClassifierCV, LabelPropagation, Deep Learning. The dataset was collected from Kaggle depository. It consists of 164 rows and 8 columns. The best classifier with unbalanced dataset was the LogisticRegressionCV. The Accuracy 100.0%, precession 100.0%,Recall100.0% and the F1-score (...) 100.0%. However, the best classifier with balanced dataset was the LogisticRegressionCV. The Accuracy 100.0%, precession 100.0%, Recall 100.0% and the F1-score 100.0%. (shrink)

In today's data-driven world, the efficient management of network resources is crucial for optimizing performance in data centers and large-scale networks. Load balancing is a critical process in ensuring the equitable distribution of data across multiple paths, thereby enhancing network throughput and minimizing latency. This paper presents a comprehensive approach to load balancing using advanced optimization techniques integrated with multipath routing protocols. The primary focus is on dynamically allocating network resources to manage the massive volume of data generated by modern (...) applications. By leveraging algorithms such as Genetic Algorithms (GA) and Particle Swarm Optimization (PSO), the proposed method efficiently distributes data across multiple paths, ensuring balanced network utilization. The combination of these algorithms with multipath routing significantly reduces congestion and improves overall network performance. (shrink)

The translational research community, in general, and the Clinical and Translational Science Awards (CTSA) community, in particular, share the vision of repurposing EHRs for research that will improve the quality of clinical practice. Many members of these communities are also aware that electronic health records (EHRs) suffer limitations of data becoming poorly structured, biased, and unusable out of original context. This creates obstacles to the continuity of care, utility, quality improvement, and translational research. Analogous limitations to sharing objective data in (...) other areas of the natural sciences have been successfully overcome by developing and using common ontologies. This White Paper presents the authors’ rationale for the use of ontologies with computable semantics for the improvement of clinical data quality and EHR usability formulated for researchers with a stake in clinical and translational science and who are advocates for the use of information technology in medicine but at the same time are concerned by current major shortfalls. This White Paper outlines pitfalls, opportunities, and solutions and recommends increased investment in research and development of ontologies with computable semantics for a new generation of EHRs. (shrink)

The main aim of the study was to determine the levels of Adversity Quotient and problem solving skills in Mathematics of BISU - MC students taking BSEdMathematics in the school year 2021-2022. It sought to find if there was a significant difference in the respondents’ levels of AQ and problem solving skills in Mathematics across their age, gender and year level as well as their level of AQ as a significant predictor of their level of problem solving skills in Mathematics. (...) It also aimed to develop a plan of action that would be proposed to improve these two aspects of their being. The total number of actual respondents was 163. Purposive sampling was used. The study utilized the quantitative type of study. It made use of the descriptive design to describe the characteristics of the population being studied and the regression design to infer the relationship between the independent variable and dependent variable. The Online AQ Profile was used for determining the respondents’ level of AQ and a 10-item test was used for determining their level of problem solving skills in Mathematics. Both inquired their profile. The data provided by the respondents were collected and subjected to statistical treatment through IBM SPSS Statistics Trial software. Data revealed that the age of the respondents ranged from 18 to 22 years old. Females numerically dominated the analyzed field. Majority of the respondents were from the first and fourth year levels. Their AQ was below average while their problem solving skills in Mathematics was satisfactory. The age, gender and year level of students did not matter in identifying their level of AQ. On the other hand, the older students had a higher level of problem solving skills in Mathematics than the younger ones and the students in the higher year level had a higher level of problem solving skills in Mathematics than those in the lower year level. Finally, their level of AQ gave a positive influence on their level of problem solving skills in Mathematics. The education system should be aligned with the profile of the students. The teachers would let the students read the book of Paul G. Stoltz, PhD titled “Adversity Quotient: Turning Obstacles into Opportunities”. The students would also reflect on the word of God. Also, the teachers would let the students study the book by George Polya titled “How To Solve It”. The students would also continue to solve various routine problems. Regardless of age, gender and year level, the family and friends of the students should encourage them in every way they can for their better future as they overcome their adversities. Mathematics curriculum makers and teachers work together to improvise teaching and learning Mathematics specifically problem solving for the younger students and those in the lower year level. Future researchers could replicate the study to further verify the results. Research could focus specifically on the CORE dimensions of AQ predicting the level of problem solving skills in Mathematics. (shrink)

This article tackles the sole surviving ancient commentary on what was perhaps the second most important Platonic work, with special interest for the manner in which the ancients tackled the setting of Plato's dialogues, Socratic ignorance, Socratic eros, the central myth-like Palinode, and the question of oral as against written teaching.

This comparative examination of Nietzsche and the Islamic philosopher al-Kindi emphasizes their mutual commitment to the recovery of classical Greek and Hellenistic thought and the idea of philosophy as a way of life. Affiliating both thinkers with the Stoic lineage in particular, I examine the ways in which they appropriate common themes such as fatalism, self-cultivation via spiritual exercises, and the banishing of sorrow. Focusing primarily on their respective conceptions of self and nature, I argue that the antipodal worldviews of (...) al-Kindi and Nietzsche can be understood as a bifurcation of Stoic philosophy. (shrink)

Consumer behavior analytics has become a pivotal aspect for businesses to understand and predict customer preferences and actions. The advent of machine learning (ML) algorithms has revolutionized this field by providing sophisticated tools for data analysis, enabling businesses to make data-driven decisions. However, the effectiveness of these ML algorithms significantly hinges on the optimization techniques employed, which can enhance model accuracy and efficiency. This paper explores the application of various optimization techniques in consumer behaviour analytics using machine learning algorithms. By (...) focusing on the optimization of key parameters, the study aims to improve the predictive power of models and reduce computational costs. (shrink)

Driver drowsiness is a significant factor contributing to road accidents, resulting in severe injuries and fatalities. This study presents an optimized approach for detecting driver drowsiness using machine learning techniques. The proposed system utilizes real-time data to analyze driver behavior and physiological signals to identify signs of fatigue. Various machine learning algorithms, including Support Vector Machines (SVM), Convolutional Neural Networks (CNN), and Random Forest, are explored for their efficacy in detecting drowsiness. The system incorporates an optimization technique—such as Genetic Algorithms (...) (GA) or Particle Swarm Optimization (PSO)—to enhance the accuracy and response time of the detection process. The integration of optimization methods ensures that the model adapts to various driving conditions and individual differences, providing a more reliable and robust detection mechanism. (shrink)

The rise of social media has created a new platform for communication and interaction, but it has also facilitated the spread of harmful behaviors such as cyberbullying. Detecting and mitigating cyberbullying on social media platforms is a critical challenge that requires advanced technological solutions. This paper presents a novel approach to cyberbullying detection using a combination of supervised machine learning (ML) and natural language processing (NLP) techniques, enhanced by optimization algorithms. The proposed system is designed to identify and classify cyberbullying (...) behavior in real-time, analyzing textual data from social media posts to detect harmful content. The model is trained on a large dataset of labeled instances of bullying and non-bullying content, using supervised ML algorithms such as Support Vector Machines (SVM), Decision Trees, and Random Forest. NLP techniques, including sentiment analysis, keyword extraction, and text vectorization, are employed to preprocess and transform the data into a format suitable for machine learning. T. (shrink)

An exploration of the nexus between ecology, evolutionary biology and molecular biology, via the concept of phenotypic plasticity.

This paper initiates a dialogue between classical Islamic philosophy and late modern European thought, by focusing on two peripheral, ‘heretical’ figures within these traditions: Abū Bakr Muḥammad ibn Zakariyāʾ al-Rāzī and Friedrich Nietzsche. What affiliates these thinkers across the cultural and historical chasm that separates them is their mutual fascination with, and profound indebtedness to, ancient Greek and Hellenistic philosophy. Given the specific themes, concerns and doctrines that they appropriate from this common source, I argue that al-Rāzī and Nietzsche should (...) be read as Epicureans and seen in relation to their predecessor as part of the subterranean tradition of philosophical naturalism. However, while each figure appropriates the philosophy of Epicurus, they ultimately transform it in important ways: al-Rāzī offers us a qualified “Platonic” Epicureanism, while Nietzsche forges a radicalized “Dionysian” Epicureanism. The point of such a comparative examination is twofold. First, analyzing the divergent paths of these “wayward” Epicureans sheds new light on the historical trajectory of naturalism as a philosophical stance (as well as its current prospects and limitations). Second, by initiating a dialogue between the classical Islamic and modern European philosophical traditions, we can better understand the antagonisms and shared concerns between these two horizons, as well as the ambiguities and self-questioning that occur within them. (shrink)