This study explores the doctrine of the latency of forms in the Middle Ages, with a particular focus on Albert the Great’s elaboration through his theory of inchoatio formarum. The doctrine, whose origins date back to Anaxagoras and was further developed in the Arabic philosophical tradition, posits that matter contains all the manifest qualities of substances, though in a latent form. Albert reworks this doctrine, correcting the immanentist and paradoxical implications attributed to Anaxagoras’ error, and proposes an interpretation in which (...) matter, while potentially active, receives the perfection of forms from an external causal principle. The study highlights how Albert’s inchoatio formarum provides a response to the doctrine of the latency of forms and fits into the broader medieval debate on the relationship between matter and forms, both in philosophical and theological contexts. The discussion also examines the commentators of Peter Lombard’s Sentences and the connection with Augustine’s doctrine of rationes seminales. Lastly, Albert’s contribution to the debate on Augustine’s rationes seminales and his interaction with the Thomist tradition and other 15th-century authors are analyzed. (shrink)

Art among Iranian and Islamic philosophers has always been associated with moral, so that many philosophers have considered art to be synonymous with virtue. By examining Farabi's opinions, it is possible to extract his special ideas about art and artist. In Farabi's theory of Virtuous Art, the artist is on the second floor of utopia and carries religious truths and reasonable happiness. Also, the theory of Virtuous Art has all the aesthetic features and artistic creativity, and in fact, all artistic (...) values are the presupposition of being an art of Virtuous Art. By reflecting on Suhrawardi’s numerous works and intellectual foundations, we can also see that he also paid special attention to the virtuous art and the supreme aspects of art; although he did not directly theorize about the basics of art, but by examining his theories, we can infer the basics of Ishraghi's Virtuous Art. Moreover, Suhrawardi has written some of his works in allegorical and artistic language, and this is a manifestation of Suhrawardi’s Illuminating Art. Among contemporary thinkers, Seyyed Hossein Nasr and Titus Burckhardt have presented an approach with the title of Sacred Art, considering the sacred foundations of art and Traditionalism. (shrink)

Suhrawardi is among the philosophers who, compared to other philosophers, developed his intellectual system in an innovative manner. Suhrawardi’s illuminative intellectual system is the result of his thoughts in philosophy and mysticism, and the ultimate of his illuminative school is to achieve the station of mystic perception and theosophy using intuition and reasoning. The pure soul is an important pillar in the wayfarer’s intuition; and since the soul has descended from the world of the dominant lights to the world of (...) nature, it may have diseases just like the body. In his treatises, the Master of Illumination opened a new door in philosophy by discussing the disease of the soul, and sought to provide a mystical and ethical solution for the treatment of the human’s rational soul through his illuminative way of thinking. Suhrawardi’s method for treating the diseases of the soul is expressed as an allegory because it is considered as a part of his mystical materials; and it is regarded as a moral matter because it is a prescription for all wayfarers. By recognizing the symbols in Suhrawardi’s allegorical treatises, we can identify his moral way of treating the diseases of the soul. (shrink)

The metaphysical concept of love in Sinawi philosophy examines the three axes of the essence, reason, and manner of love in Avicenna’s intellectual system, resulting in Avicenna’s theory of love. By examining Avicenna’s views on love, particularly in his treatise on love, it can be understood that he has presented two definitions of love (essence), and in the seven chapters of the treatise on love, he admits that love is a pervasive essential substance throughout existence, and no creature is devoid (...) of this substance. It can, therefore, be argued that love is the cause of the existence of creatures (reason). On the other hand, Avicenna has also explained the flow and dependence of creatures on love under each chapter (manner). The result of understanding and examining these three axes in Avicenna’s views, which is the goal of this research, has led to the theory of Sinawi love, which shows Avicenna’s worldview on love. (shrink)

Suhrawardi created a revolution in the field of Iranian and Islamic thought by compiling the Illuminated Philosophy. The philosophy of Suhrawardi, which includes the collection of works and philosophical and mystical thoughts of Suhrawardi, is well presented in his book Hikma al-Ishraq. Unlike Farabi, Suhrawardi did not write an independent work about Utopia, but he spoke about the ideal ruler and the right to rule. Moreover, in his allegorical works, more than anything else, he pointed out moral points that can (...) lead the people of a society to salvation. Suhrawardi's philosophy is based on the originality of light, which shows that he had an opinion on the philosophers of Ancient Iran. In addition, Suhrawardi has repeatedly referred to Khosrvanion and Ancient Persian Scholars such as Zoroaster and Key Khosro and, for example, considered Key Khosro's government to be a desirable government in terms of politics and government. Another pillar of Suhrawardi's thought is the Quran and Islamic traditions, and therefore, his opinion about the government and ruler is consistent with Islamic teachings. In addition, he considered himself indebted to the divine philosophers of Greece such as Pythagoras and Plato and other divine scholars of the world such as Hermes, and he also took many of the opinions of his predecessor philosophers such as Farabi and Avicenna; Therefore, it can be assumed that he agrees with Farabi in many respects about utopia and its governing characteristics and conditions. (shrink)

This article seeks to contribute to the debate on how political representation can promote democracy by analysing the Chamber in the Square, which is a component of legislative theatre. A set of techniques devised to democratise representative governments, legislative theatre was created by Augusto Boal when he was elected a political representative in 1993. After briefly reviewing Nadia Urbinati’s understanding of democratic representation as a diarchy of will and judgement, I partially endorse Hélène Landemore’s criticism and contend that if (...) representation is to be democratic, citizens’ exchange of opinions in the public sphere should be invested with the power not only to judge, but also to decide political affairs. By opening up a space where the represented can judge, decide, and contest the general terms of the bills representatives present in the assembly, the Chamber in the Square harnesses political representation to democracy. (shrink)

To date, both the United States federal government and twenty-one individual states have passed Religious Freedom Restoration Acts that aim to protect religious persons from having their sincere beliefs substantially burdened by governmental interests. RFRAs accomplish this by offering a three-pronged exemption test for religious objectors that is satisfied only when (1) an objector has a sincere belief that is being substantially burdened; (2) the government has a very good reason (e.g., health or safety) to interfere; and (3) there is (...) a reasonable alternative to serve the compelling interest. Legal balancing tests like those found in RFRA are content neutral insofar as they sideline the belief-content of conscientious objections as irrelevant when determining the permissibility of granting legal accommodations. However, some theorists worry that this legal picture may be backward: perhaps balancing tests should be content non-neutral given the usual features of conscientious objections. For example, Yossi Nehushtan contends that, contrary to their typical codification, religious conscience beliefs seem undeserving of special legal accommodations because they possess uniquely strong empirical and theoretical ties to intolerance. Thus, the illiberally intolerant content of these conscientious objections might actually give the state a reason to refuse to grant legal exemptions. In this paper, I offer a cursory defense of content neutrality with respect to balancing tests like those found in RFRA. To begin, I outline Nehushtan’s argument for content non-neutrality. The cornerstone of his argument is that illiberal intolerance is intolerable such that conscientious objections that are based upon illiberally intolerant values provide the state with strong, normally prevailing reason not to grant an exemption. I argue that, even when the illiberally intolerant content of one’s conscience constitutes a weighty and relevant factor in determining the permissibility of granting a legal exemption, there remain significant problems. It is difficult, for example, to determine which views are illiberally intolerant and difficult to say whether illiberally intolerant views can effectively serve as the principled demarcating line in balancing tests. To conclude, I offer several cursory arguments in favor of adopting content-neutral approaches without necessarily making a comprehensive case. By drawing on the work of Amy Sepinwall, Nadia Sawicki, and Nathan Chapman, I show that content-neutral approaches can help to safeguard robust protections for conscience by permitting atypical exercises of conscience, protect minority thoughts and practices from being coercively supplanted by majoritarian understandings of morality, appropriately maintain the skepticism and humility that we owe each other as compatriots in a pluralistic society, and allow the kind of justifiable civil disobedience that has an important place in political history among other things. (shrink)

In this paper we track the ‘body positivity’ movement from its origins, promoting radical acceptance of marginalized bodies, to its co-optation as a push for self-love for all bodies, including those bodies belonging to socially dominant groups. We argue that the new focus on the ‘body positivity’ movement involves a single-minded emphasis on beauty and aesthetic adornment, and that this undermines the original focus of social and political equality, pandering instead to capitalism and failing to rectify unjust institutions and policies. (...) As such, we argue that the ‘body positivity’ movement ultimately marginalises further the bodies for which it initially sought justice and acceptance. (shrink)

Abstract: Artificial Intelligence (AI) has rapidly advanced, offering significant potential to transform business decision-making. This paper delves into how AI can be harnessed to enhance strategic decision-making within business contexts. It investigates the integration of AI-driven analytics, predictive modeling, and automation, emphasizing their role in improving decision accuracy and operational efficiency. By examining current applications and case studies, the paper underscores the opportunities AI offers, including improved data insights, risk management, and personalized customer experiences. It also addresses the challenges businesses (...) face when adopting AI, such as data privacy concerns, integration difficulties, and the need for skilled professionals. The paper concludes by offering recommendations for successfully implementing AI solutions to maximize benefits while mitigating potential challenges. (shrink)

Abstract: The integration of artificial intelligence (AI) into drug discovery is revolutionizing the pharmaceutical industry by accelerating the development of novel therapeutics. AI-powered tools enable researchers to process vast datasets, identify drug candidates, and predict their efficacy and safety with unprecedented speed and accuracy. This paper explores the transformative impact of AI on drug discovery, highlighting key advancements in machine learning algorithms, deep learning, and predictive modeling. Additionally, it addresses the challenges associated with AI implementation, including data quality, regulatory hurdles, (...) and ethical considerations. By analyzing case studies of AI-driven pharmaceutical breakthroughs, this paper underscores AI's potential to streamline drug development, reduce costs, and address unmet medical needs. The future of drug discovery is poised to shift dramatically as AI continues to advance, offering promising solutions for improving human health. (shrink)

Abstract: Sign language recognition is one of the most rapidly expanding fields of study today. Many new technologies have been developed in recent years in the fields of artificial intelligence the sign language-based communication is valuable to not only deaf and dumb community, but also beneficial for individuals suffering from Autism, downs Syndrome, Apraxia of Speech for correspondence. The biggest problem faced by people with hearing disabilities is the people's lack of understanding of their requirements. In this paper we try (...) to fill this gap. By trying to translate sign language using artificial intelligence algorithms, we focused in this paper using transfer learning technique based on deep learning by utilizing a MobileNet algorithm and compared it with the previous paper results[10a], where we get in the Mobilenet algorithm on the degree of Accuracy 93,48% but the VGG16 the accuracy was 100% For the same number of images (43500 in the dataset in size 64*64 pixel ) and the same data split training data into training dataset (70%) and validation dataset(15%) and testing dataset(15%) and 20 epoch . (shrink)

Abstract: Online book review platforms generate vast user data, making accurate rating prediction crucial for personalized recommendations. This research explores neural networks as simple models for predicting book ratings without complex algorithms. Our novel approach uses neural networks to predict ratings solely from user-book interactions, eliminating manual feature engineering. The model processes data, learns patterns, and predicts ratings. We discuss data preprocessing, neural network design, and training techniques. Real-world data experiments show the model's effectiveness, surpassing traditional methods. This research can (...) enhance user experience, book catalog organization, and aid publishers, simplifying recommendation processes and providing tailored suggestions based on user preferences. (shrink)

This study explores experiences of ex-incels—men who have withdrawn from incel communities—through eleven qualitative interviews analysed using R.W. Connell’s hegemonic masculinity (HM) framework. Findings reveal some ex-incels adopt flexible masculinities, while others struggle with prescriptive norms perpetuated by the anti-feminist ‘manosphere’. Findings spotlight identity reconstructions, where men both reject and remain influenced by rigid archetypes, performing hybrid masculinities. This study deepens understanding of incel ideology, its impact on identity, and interplay between inceldom and masculinities via contributing to hybrid masculinities theorising. (...) Insights presents applications for gender theory and inform further research on HM’s influence within unique cultural contexts. (shrink)

Abstract: This research paper presents a novel approach to predict audit risks using a neural network model. The dataset used for this study was obtained from Kaggle and comprises 774 samples with 18 features, including Sector_score, PARA_A, SCORE_A, PARA_B, SCORE_B, TOTAL, numbers, marks, Money_Value, District, Loss, Loss_SCORE, History, History_score, score, and Risk. The proposed neural network architecture consists of three layers, including one input layer, one hidden layer, and one output layer. The neural network model was trained and validated, achieving (...) an impressive accuracy of 100% and an average error of 0.000015, indicating its robust predictive capability. Moreover, we conducted feature importance analysis to identify the most influential features for predicting audit risk. The key features found to be critical for classifying fraudulent activities in audit risk prediction are Sector_score, PARA_A, SCORE_A, PARA_B, SCORE_B, TOTAL, numbers, marks, Money_Value, District, Loss, Loss_SCORE, History, and History_score. This research contributes to the field of audit risk prediction by demonstrating the effectiveness of a neural network-based approach and highlighting the importance of specific features in detecting fraudulent activities. The findings have significant implications for auditors and organizations seeking to enhance their audit risk assessment processes, ultimately leading to improved financial transparency and fraud detection. (shrink)

Sign Language Recognition (SLR) aims to translate sign language into text or speech in order to improve communication between deaf-mute people and the general public. This task has a large social impact, but it is still difficult due to the complexity and wide range of hand actions. We present a novel 3D convolutional neural network (CNN) that extracts discriminative spatial-temporal features from photo datasets. This article is about classification of sign languages are not universal and are usually not mutually intelligible (...) although there are also similarities among different sign languages. They are the foundation of local Deaf cultures and have evolved into effective means of communication. Although signing is primarily used by the deaf and hard of hearing, hearing people also use it when they are unable to speak, when they have difficulty speaking due to a health condition or disability (augmentative and alternative communication), or when they have deaf family members, such as children of deaf adults. In this article we use the 43500 image in the dataset in size 64*64 pixel by use CNN Architecture and achieved 100% accuracy. (shrink)

Abstract: The aim behind analyzing Google Stock Prices dataset is to get a fair idea about the relationships between the multiple attributes a day might have, such as: the opening price for each day, the volume of trading for each day. With over a hundred thousand days of trading data, there are some patterns that can help in predicting the future prices. We proposed an Artificial Neural Network (ANN) model for predicting the closing prices for future days. The prediction is (...) based on these features (date, opening price, highest price, lowest price, volume), which were used as input variables and (closing price) as output variable for our ANN model. Our model was created, trained, and validated using data set in JNN environment, which its title is “Google-Stock-Prices”. The model evaluation showed that the ANN model is able to predict correctly 99.48% of the validation samples. (shrink)

there is a communication gap between hearing-impaired people and those with normal hearing, sign language is the main means of communication in the hearing-impaired population. Continuous sign language recognition, which can close the communication gap, is a difficult task since the ordered annotations are weakly supervised and there is no frame-level label. To solve this issue, we compare the accuracy of each model using two deep learning models, Inception and Xception . To that end, the purpose of this paper is (...) By attempting to translate sign language using deep learning models, we focused in this paper a comparing between Inception and Xception ¬¬¬¬¬ algorithm and compared it to previous papers in which we used VGG19[1], mobileNet [2], where we get in the Inception and Xception algorithm on the degree of Accuracy 99.32%, 99,43% respectively. number of images (29000 in the dataset in size 75*75 pixel ) and the data split training data into training dataset (70%) and validation dataset(15%) and testing dataset(15%) and 20 epoch. (shrink)

American Sign Language, or ASL as its acronym is commonly known, is a fascinating language, and many people outside of the Deaf community have begun to recognize its value and purpose. It is a visual language consisting of coordinated hand gestures, body movements, and facial expressions. Sign language is not a universal language; it varies by country and is heavily influenced by the native language and culture. The American Sign Language alphabet and the British Sign Language alphabet are completely contrary. (...) Fingerspelling is one-handed in ASL and two-handed in BSL, with the exception of the letter C. AI technologies, particularly deep learning, can play an important role in breaking down communication barriers between deaf or hearing-impaired people and other communities, significantly contributing to their social inclusion. Recent advances in sensing technologies and AI algorithms have paved the way for the development of a wide range of applications aimed at meeting the needs of the deaf and hearing-impaired communities. To that end, the purpose of this paper is By attempting to translate sign language using artificial intelligence algorithms, we focused in this paper on a transfer learning technique based on deep learning using a ResNet algorithm and compared it to previous papers in which we used VGG19[1]and mobileNet [2], where we get in the ResNet algorithm on the degree of Accuracy 93,48% e number of images (43500 in the dataset in size 64*64 pixel ) and the data split training data into training dataset (70%) and validation dataset(15%) and testing dataset(15%) and 20 epoch. (shrink)

As sustainable tourism gains increasing attention, understanding the factors that influence travelers' motivation to engage with sustainable travel agents becomes crucial. This study investigates the moderating effect of social media usage on the relationship between the perceived value of websites and motivational factors for sustainable travel agents. The study proposes that social media usage acts as a moderator in shaping the relationship between the perceived value of websites and motivational factors. This study has utilized smart tourism. Therefore, independent variable motivation (...) in terms of informativeness gratification and gratification acted as moderating variables. This study has utilized an online questionnaire adapted from a standardized questionnaire based on the literature review. Moreover, a total of 146 managers were surveyed in which they were required to respond to 55 items that elicited the 7 variables social media use, Propensity, perceived website value, motivating factors, entertainment gratification, informativeness gratification, sustainable smart tourism. The data were analyzed by SPSS and PLS-SEM. The findings indicated that relevance and importance of social media use and sustainable smart tourism. The result revealed that 7 hypotheses had a significant relationship. 3 hypotheses did not show a moderating effect. Overall, this study extends the understanding of sustainable smart tourism. These findings will benefit travel agents’ managers in Malaysia to better understand the role of social media use and utilize it towards developing sustainable sustainable smart tourism. (shrink)

The purpose of this study is to find out that whether the jobs of nurses in Pakistan are fulfilling their necessary requirements or not. This issue is being analyzed by the relation of Person-Job (P-J) Fit with three different JobBehaviors and the whole relation is being tested under the moderation of Agreeableness, which is a personality trait of the Big5 Model. A survey method is deployed, questionnaires are used to obtain data. 120 Nurses were accessed from different hospitals of Islamabad/Rawalpindi. (...) Data were analyzed through statistical tests and regression analysis. Findings of the study highlight that P-J fit is related positively to job satisfaction of nurses and negatively to their Turnover Intentions.Where no significant impact of agreeableness as a moderator is found for this study. The Sample size was too small (120participants). This may restrict the generalizability of the studies. In the Pakistani context, only a limited study has been conducted on nurses. Thus, this piece of research will play a significant role in enhancing and boosting the confidence of deprived nurses of Pakistan by identifying the causes of negative job outcomes and help in mitigating those triggers. (shrink)

Abstract: As artificial intelligence (AI) technologies rapidly evolve and permeate various aspects of society, the need for effective regulation and governance has become increasingly critical. This paper explores the current landscape of AI regulation, examining existing frameworks and their efficacy in addressing the unique challenges posed by AI. Key issues such as ensuring compliance, mitigating biases, and maintaining transparency are analyzed. The paper also delves into ethical considerations surrounding AI governance, emphasizing the importance of fairness and accountability. Through case studies (...) of different regulatory approaches and their outcomes, the paper highlights both successes and areas for improvement. Finally, it offers insights into future directions for AI regulation, advocating for innovative policies and enhanced international cooperation to ensure that AI technologies are developed and deployed responsibly. This comprehensive analysis aims to contribute to the ongoing discourse on creating robust regulatory mechanisms that can keep pace with the rapid advancement of AI. (shrink)

Breast cancer remains a significant health concern worldwide, necessitating the development of effective diagnostic tools. In this study, we employ a neural network-based approach to analyze the Wisconsin Breast Cancer dataset, sourced from Kaggle, comprising 570 samples and 30 features. Our proposed model features six layers (1 input, 1 hidden, 1 output), and through rigorous training and validation, we achieve a remarkable accuracy rate of 99.57% and an average error of 0.000170 as shown in the image below. Furthermore, our investigation (...) identifies the most influential features in breast cancer diagnosis, shedding light on the key determinants of malignancy. Notably, we find that factors such as fractal dimension_se, symmetry worst, compactness_worst, symmetry_se, and smoothness_se play pivotal roles in distinguishing between benign and malignant cases. This research contributes to the ongoing efforts to enhance breast cancer diagnosis, providing valuable insights into feature importance and showcasing the potential of neural networks in medical applications. Our findings have implications for improving early detection and treatment strategies, ultimately contributing to improved patient outcomes. (shrink)

Web page phishing is a type of phishing attack that targets websites. In a web page phishing attack, the attacker creates a fake website that looks like a legitimate website, such as a bank or credit card company website. The attacker then sends a fraudulent message to the victim, which contains a link to the fake website. When the victim clicks on the link, they are taken to the fake website and tricked into entering their personal information.Web page phishing attacks (...) are a serious threat to online security. They can be very effective, as they often look very convincing. To protect yourself from web page phishing attacks, you should be suspicious of any emails or messages that ask for your personal information. Do not click on links in emails or messages from unknown senders. If you are unsure whether a website is legitimate, do not enter your personal information. Therefore, in this study, we present a novel approach to detect whether a web page is phishing or legitimate using a neural network model. (shrink)

Abstract: Heart attacks, or myocardial infarctions, are a leading cause of mortality worldwide. Early prediction and accurate analysis of potential risk factors play a crucial role in preventing heart attacks and improving patient outcomes. In this study, we conduct a comprehensive review of datasets related to heart attack analysis and prediction. We begin by examining the various types of datasets available for heart attack research, encompassing clinical, demographic, and physiological data. These datasets originate from diverse sources, including hospitals, research institutions, (...) and public health agencies. Our analysis aims to identify common features, data quality, and potential biases in these datasets. Next, we explore the predictive modeling techniques employed in heart attack prediction. Machine learning algorithms, such as decision trees, support vector machines, and deep neural networks, have gained prominence in predicting heart attacks. We discuss the strengths and limitations of these methods and highlight recent advancements in predictive modeling. Furthermore, we delve into the critical risk factors associated with heart attacks. Factors such as age, gender, hypertension, diabetes, and cholesterol levels are examined for their significance in predicting cardiac events. We also investigate the role of lifestyle factors, including smoking, diet, and physical activity, in heart attack risk assessment. Additionally, this review addresses the importance of data preprocessing and feature engineering in improving prediction accuracy. Feature selection methods, missing data handling, and data scaling techniques are discussed to enhance the robustness of heart attack prediction models. In conclusion, this comprehensive dataset review provides valuable insights into the state of heart attack analysis and prediction. It serves as a resource for researchers and healthcare professionals seeking to better understand the datasets available for heart attack research and the methods employed for accurate prediction. Ultimately, our efforts in dataset analysis and predictive modeling contribute to the advancement of preventive cardiology and the reduction of heart attack-related morbidity and mortality. (shrink)

The study aimed to identify the level of organizational performance in ceramic companies in the Tenth of Ramadan City, where the researchers used the descriptive analytical method, through a questionnaire distributed. The study reached a set of results, the most important of which are: the presence of a clear consensus of the study sample from the members of the senior management that all dimensions of the balanced scorecard variable are largely present in the ceramic companies under study, and the results (...) showed the approval of the study sample of workers in an average way on the application of the financial dimension and that it is applied Well, the approval of the study sample of the employees in an average way that tends to decline on the degree of application of the customer dimension and that it is applied by the senior management in an inappropriate way, the approval of the study sample of the employees in a large way on the degree of application of the internal operations dimension and that it is applied by the senior management in a large and appropriate way, approval The study sample of workers applying the learning and growth dimension is moderately low and it is applied inappropriately by the senior management. The study presented a set of recommendations, the most important of which are: working on clarifying and translating the vision and strategy of the institution, working on clarifying the strategy and linking it to the goals, planning and setting goals and arranging strategic initiatives, promoting strategic feedback. (shrink)

I suspect the answer to the question in the title of this paper is no. But the scope of my paper will be considerably more limited: I will be concerned with whether certain types of considerations that are commonly cited in favor of dynamic semantics do in fact push us towards a dynamic semantics. Ultimately, I will argue that the evidence points to a dynamics of discourse that is best treated pragmatically, rather than as part of the semantics.

Climate change temperature prediction plays a crucial role in effective environmental planning. This study introduces an innovative approach that harnesses the power of Artificial Neural Networks (ANNs) within the Just Neural Network (JustNN) framework to enhance temperature forecasting in the context of climate change. By leveraging historical climate data, our model achieves exceptional accuracy, redefining the landscape of temperature prediction without intricate preprocessing. This model sets a new standard for precise temperature forecasting in the context of climate change. Moreover, our (...) research provides valuable insights into the pivotal factors influencing temperature variations, making significant contributions to environmental science and climate mitigation strategies. (shrink)

The pandemic of COVID-19 prompted several paradigm shifts throughout society, including in education. This study aimed to examine the relationships of students' engagement in online synchronous collaborative learning activities (OSCLA) with their self-efficacy (LSE), peer social support (LPSS), state of well-being (SWB), and level of academic performance (LAP). A total of 176 Filipino Grade 12 SHS students, 18 years old and older, from a private educational institution were purposively selected for this study. Data were generated using an online survey. Results (...) show that collaborative learning activities are frequently conducted (median = 4) in their synchronous online classes. It also revealed that their LSE is high (median = 4), their LPSS is high (median = 4), their LE is moderate (median = 3), their SWB is high (median = 4), and their LAP is high (median = 94.85). The results showed a statistically significant correlation of their LSE (r = 0.69, p 0.001) and LPSS with their OSCLA LE (r = 0.438, p 0.001). A statistically significant positive moderate correlation between LE and SWB (r = 0.536, p 0.001) was also found, however, no correlation was found between their OSCLA LE and LAP (r = 0.065, p = 0.393). Thus, the use of a well-designed OSCLA is strongly recommended as it positively impacts students' SWB but should be regularly reviewed for its effectiveness in sustaining improvement in the LAP of the students. (shrink)

Robert Nozick, in chapter two of the nature of rationality, proposes two famous problems in decision theory (i.e., Newcomb's problem and Prisoner Dilemma) and two main strategies toward these problems i.e. dominant strategy and dominated or cooperative one. He will try to give a formal principles to calculate the decision values in these situations. In this calculation he goes beyond the standard principle of maximizing expected utility and would try to put forth less ideal and more realistic principles that fit (...) the decision situation in the real world. (shrink)

Abstract: Accurate stock price prediction is essential for informed investment decisions and financial planning. In this research, we introduce an innovative approach to forecast stock prices using an Artificial Neural Network (ANN). Our dataset, consisting of 5582 samples and 6 features, including historical price data and technical indicators, was sourced from Yahoo Finance. The proposed ANN model, composed of four layers (1 input, 1 hidden, 1 output), underwent rigorous training and validation, yielding remarkable results with an accuracy of 99.84% and (...) an average error of 0.005. Additionally, we conducted a feature importance analysis, identifying the key drivers of stock price prediction, such as "High," "Low," "Open," "Volume"," and "Date." This study not only offers a highly accurate stock price prediction model but also contributes valuable insights into the influential factors affecting stock prices, enhancing the field of financial analysis and investment decision-making that are suitable for the task. (shrink)

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

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)

The appearance of consciousness in the universe remains one of the major mysteries unsolved by science or philosophy. Absent an agreed-upon definition of consciousness or even a convenient system to test theories of consciousness, a confusing heterogeneity of theories proliferate. In pursuit of clarifying this complicated discourse, we here interpret various frameworks for the scientific and philosophical study of consciousness through the lens of social insect evolutionary biology. To do so, we first discuss the notion of a forward test versus (...) a reverse test, analogous to the normal and revolutionary phases of the scientific process. Contemporary theories of consciousness are forward tests for consciousness, in that they strive to become a means to classify the level of consciousness of arbitrary states and systems. Yet no such theory of consciousness has earned sufficient confidence such that it might be actually used as a forward test in ambiguous settings. What is needed now is thus a legitimate reverse test for theories of consciousness, to provide internal and external calibration of different frameworks. A reverse test for consciousness would ideally look like a method for referencing theories of consciousness to a tractable model system. We introduce the Ant Colony Test as a rigorous reverse test for consciousness. We show that social insect colonies, though disaggregated collectives, fulfill many of the prerequisites for conscious awareness met by humans and honey bee workers. A long lineage of philosophically-neutral neurobehavioral, evolutionary, and ecological studies on social insect colonies can thus be redeployed for the study of consciousness in general. We suggest that the ACT can provide insight into the nature of consciousness, and highlight the ant colony as a model system for ethically performing clarifying experiments about consciousness. (shrink)

This article focuses on foundational issues in dynamic and static semantics, specifically on what is conceptually at stake between the dynamic framework and the truth-conditional framework, and consequently what kinds of evidence support each framework. The article examines two questions. First, it explores the consequences of taking the proposition as central semantic notion as characteristic of static semantics, and argues that this is not as limiting in accounting for discourse dynamics as many think. Specifically, it explores what it means for (...) a static semantics to incorporate the notion of context change potential in a dynamic pragmatics and denies that this conception of static semantics requires that all updates to the context be eliminative and distributive. Second, it argues that the central difference between the two frameworks is whether semantics or pragmatics accounts for dynamics, and explores what this means for the oft-heard claim that dynamic semantics blurs the semantics/pragmatics distinction. (shrink)

This article considers the significance of the Blessed Isles in Nietzsche’s Thus Spoke Zarathustra. They are the isolated locale to which Zarathustra and his fellow creators retreat in the Second Part of the book. I trace Zarathustra’s Blessed Isles back to the ancient Greek paradisiacal afterlife of the makarōn nēsoi and frame them against Nietzsche’s Platonic conception of philosophers as “commanders and legislators,” but I argue that they represent something more like a modern Epicurean Garden. Ultimately, I suggest that Zarathustra’s (...) Epicurean impulse toward withdrawal (whether into a sequestered friendship community or mountain solitude) undermines his Platonic attempts at great politics. (shrink)

As these opening quotes acknowledge, the Prisoner’s Dilemma (PD) represents a core puzzle within the formal mathematics of game theory.3 Its rise in conspicuity is evident figure 2.1 above demonstrating a relatively steady rise in incidences of the phrase’s usage between 1960 to 1995, with a stable presence persisting into the twenty first century. This famous two-person “game,” with a stock narrative cast in terms of two prisoners who each independently must choose whether to remain silent or speak, each advancing (...) self-interest at the expense of the other and thereby achieving a mutually suboptimal outcome, mires any social interaction it is applied to into perplexity. The logic of this game proves the inverse of Adam Smith’s invisible hand: individuals acting on self interest will achieve a mutually suboptimal outcome. However, as this chapter illuminates, the assumptions underlying game theory drive this conclusion. (shrink)

In diesem Aufsatz, werde ich die Frage des Naturalismus in Plessners Philosophie des organischen Lebens und seiner amerikanischen Rezeption, in besonders die philosophischen-biologischen Schriften von Marjorie Grene, untersuchen. Die amerikanische Philosophin Grene war die Hauptvertreterin Plessners im Englischen Sprachraum in 20sten Jahrhundert, die Plessners anthropologischen Argumentation in ihren Schriften zur Philosophie der Biologie aufgenommen und verwendet hat. Grene kritisierte in ihren frühen Schriften Heidegger, Sartre, und die Existenzphilosophie, die das menschliche Dasein von der Natur radikal absondert und die negative Affekte (...) wie Angst hervorhebt, in Vergleich mit Plessners weiterem Blick der Leibhaften, Sinnlichen, Tierischen Entwicklung des menschlichen Lebens. Die menschliche Existenz kann nicht dualistisch, wo „keine Brücke über den Abgrund zwischen Mensch und Tier führt,“ sondern nur biologisch-lebensphilosophisch oder ökologisch verstanden werden. Plessner und Grene setzen sich mit dem Reduktionismus des modernen Naturalismus auseinander und zeigen, wie das Natürliche weiter und ergänzt gedacht werden muss, weil der Naturalismus keine ausreichenden Begriffe für die Auslegung der Erscheinungen und Ausdrucksformen des organischen Lebens besitzt. Die Unterscheidung zwischen der "zentrischen Positionalität" des Tiers und der "exzentrischen Positionalität" des menschlichen Tiers ermöglicht eine holistisch aber differenzierte Beschreibung der Natur und Kultur, insbesondere die natürlichen Künstlichkeit, die der Kultur und das des gesellschaftlichen Lebens. Diese sind Grundlage für die geschichtliche und soziale Bildung, Aufbau, und Strukturierung der natürlichen Spontaneität, Produktivität, und Expressivität des Lebens und ermöglichen die dezentrierte, utopische, und persönliche Individuation der einzelnen Menschen im Lebenszusammenhang, was wichtige soziologische und auch ethische und politische Konsequenzen für Plessner und Grene hat: Der Mensch ist ein natürliches biologisches Individuum, das durchaus fähig ist, eine verantwortliche Person zu werden , und zwar durch die umfassende Beteiligung an (oder als ein einzigartiger Ausdruck) einer Kultur. (shrink)

A number of experiences have demonstrated how digital solutions are effective in improving quality of life (QoL) and health outcomes for older adults. Smart Health Age-Friendly Environments (SHAFE) is a new concept introduced in Europe since 2017 that combines the concept of Age-Friendly Environments with Information Technologies, supported by health and community care to improve the health and disease management of older adults and during the life-course. This chapter aims to provide an initial overview of the experiences available not only (...) in Europe, based on the research work of the participants of the International Interdisciplinary Network on Health and Well-being in an Age-Friendly Digital World (NET4Age-Friendly), which could be of interest to preventive, health and social authorities. The chapter reports good practices, pain points, and bottlenecks that may require a collaborative, interdisciplinary research approach to facilitate the transformations towards smart, sustainable, health and age-friendly cities and communities. (shrink)

The paper explores the way in which we can make sense of the seemingly contradictory presentations of God and the gods in tragic literature by looking to the thought of Martin Heidegger. The duplicity of the gods in tragedy is found to be a function of the uncertainty and questionworthiness of being.

Normative dualism between descriptions of the mental and the physical is still a problem for many philosophers that provokes more and more attempts to justify it, or, on the contrary, to overcome it by means of reduction. The problem of a special normative status of mental states is usually considered in isolation from the concept of truth. Moreover, the definition of truth is often construed only as a part of the problem of normativity: in this case, truth is only a (...) kind of norm, for example, a goal of scientific research. Donald Davidson, however, believed that truth is not the norm and that, on the contrary, norms are possible only through the use of the primitive and original concept of truth already available to us. In this paper, we propose that if one develops an idea of such a conceptual dependence between truth and norms in a certain way, then it will become possible to solve the problem of a normative gap between our descriptions of the mental and the physical. In other words, if the assimilation of the concept of truth precedes the learning of norms pertaining to the mental and the physical, then the solution for the problem of the gap between these norms can be directly related to conditions and differences in the use of the notion of truth. (shrink)

Weighing competing obligations and achieving the “greatest balance” of right over wrong guides an individual, an agency or a country in determining what ought to be done in an ethically challenging situation. Conducting controlled human infection model (CHIM) studies in India is one such situation. The ethical challenge in conducting a CHIM study lies in completing the difficult task of introducing standardised, attenuated strains of micro-organisms into normal healthy volunteers, at the same time ensuring the safety of these healthy individuals (...) from potential and completely informed risks in a fashion that is transparent and accountable. The bar is further raised against the background of already fragile public confidence in biomedical research in India; especially when “deliberate” introduction of microbial agents into healthy individuals is involved, with the larger altruistic objective of gain to society as a whole. -/- This paper discusses the uses of CHIM studies with respect to the larger scientific Indian research enterprise of the 21st century. It further explores etic and emic perspectives in conducting such trials in India and seeks to generate an ethical coherence to the justification for conducting CHIM studies in India. The paper deliberates on ethical issues arising out of conducting CHIM studies and reflects on how developing the capacity for CHIM studies in India is likely to strengthen the health research and development sector in the country. -/- . (shrink)

Block argues for a distinction between phenomenal consciousness [PC] and access consciousness [AC] on the basis of his ‘overflow’ argument. Some have thought that this distinction might limit the possibilities of studying consciousness, as it suggests the existence of conscious mental states whose contents can’t be reported. After distinguishing theoretically between PC and AC, I will summarise Block’s overflow argument for their factual distinction. Highlighting that Block makes two related but separate modal claims about the PC/AC distinction, I will show (...) that the arguments he offers at most support the weak claim that a subject S can have a mental state which is P-conscious but which isn’t A-conscious. But the assumptions on which his argument for the weak claim rest prevent any supporters of his argument from making the strong claim that an individual can have a mental state which is P-conscious but which can’t be A-conscious. And if the overflow argument can’t motivate this stronger claim then there’s no reason to think that any mental state which is P-conscious can’t be made A-conscious given the right circumstances. In which case, even if Block’s argument succeeds, there’s no reason to think that there are inherently inaccessible and thus unreportable conscious mental states. So fears about the limitations of the possibility of the study of consciousness due to the existence of such mental states on the basis of the overflow argument can be allayed. (shrink)

Scientists have the ability to influence policy in important ways through how they present their results. Surprisingly, existing codes of scientific ethics have little to say about such choices. I propose that we can arrive at a set of ethical guidelines to govern scientists’ presentation of information to policymakers by looking to bioethics: roughly, just as a clinician should aim to promote informed decision-making by patients, a scientist should aim to promote informed decision-making by policymakers. Though this may sound like (...) a natural proposal, I show it offers guidance that conflicts with standard scientific practices. I conclude by considering one cost of the proposal: that it would prevent scientists from acting as advocates in a way that is currently common in certain fields. I accept that the proposal would restrict scientists’ political advocacy rights, but argue that the benefits of adopting it — promoting democratic governance — justify the restriction. (shrink)

This essay represents a novel contribution to Nietzschean studies by combining an assessment of Friedrich Nietzsche’s challenging uses of “truth” and the “eternal return” with his insights drawn from Indian philosophies. Specifically, drawing on Martin Heidegger’s Nietzsche, I argue that Nietzsche’s critique of a static philosophy of being underpinning conceptual truth is best understood in line with the Theravada Buddhist critique of “self ” and “ego” as transitory. In conclusion, I find that Nietzsche’s “eternal return” can be understood as a (...) direct inversion of “nirvana”: Nietzsche celebrates profound attachment to each and every moment, independent from its pleasurable or distasteful registry. (shrink)

The paper argues that the moral philosophy of Thomas Hobbes is unified by a complex conception of reason that imposes consistency norms of both rationality and reasonableness. Hobbes’s conceptions of rightness as reciprocity, and moral goodness as sociability belong to an original and attractive moral theory that is neither teleological nor classically deontological, nor as interpreters have variously argued, subjectivist, contractarian, egoist, or dependent on divine command.

Evidence that humans play a dominant role in most ecosystems forces scientists to confront systems that contain factors transgressing traditional disciplinary boundaries. However, it is an open question whether this state of affairs should encourage interdisciplinary exchange or integration. With two case studies, we show that exchange between ecologists and economists is preferable, for epistemological and policy-oriented reasons, to their acting independently. We call this “exchange gain.” Our case studies show that theoretical exchanges can be less disruptive to current theory (...) than commonly thought. Valuable interdisciplinary exchange does not necessarily require disciplinary breakdown. (shrink)

According to qualitativism, thisness is not a fundamental feature of reality; facts about particular things are metaphysically second-rate. In this paper, I advance an argument for qualitativism from ideological parsimony. Supposing that reality fundamentally contains an array of propertied things, non-qualitativists employ a distinct name (or constant) for each fundamental thing. I argue that these names encode a type of worldly structure (thisness structure) that offends against parsimony and that qualitativists can eliminate without incurring a comparable parsimony-offense.