In recent years, the combination of Artificial Intelligence (AI) and Blockchain technology has garnered significant attention, especially in the healthcare domain. With the increasing reliance on biomedical signal processing for disease diagnosis and treatment, ensuring the security, privacy, and integrity of data has become paramount. Biomedical signals, including electrocardiograms (ECG), electroencephalograms (EEG), and other physiological data, often contain sensitive information. AI models have shown great promise in processing and interpreting these signals, enabling accurate disease detection and personalized healthcare. However, the (...) potential for data tampering, unauthorized access, and privacy concerns pose significant challenges. Blockchain, with its decentralized, tamper-resistant, and secure framework, offers a solution to these challenges. By integrating Blockchain with AI for biomedical signal processing, data can be securely stored, verified, and accessed, ensuring that healthcare providers can rely on the integrity and accuracy of the signals used in AI-based diagnostics. This paper explores the role of Blockchain-enhanced AI solutions for secure biomedical signal processing and data integration, addressing both the technical and ethical challenges in this space. We propose a system that leverages Blockchain to manage the secure transfer and storage of biomedical signals while utilizing AI to analyze and interpret these signals in real time. Blockchain provides an immutable ledger for auditing and validating data provenance, ensuring that the data remains secure throughout the healthcare pipeline. The integration of these two technologies not only enhances the security of biomedical data but also enables more trustworthy AI-driven diagnostics and decision-making in healthcare. (shrink)

The rapid advancements in healthcare technologies have resulted in an enormous increase in biomedical data, creating the need for innovative approaches to harness this information for early disease detection. Big Data Analytics (BDA) combined with Artificial Intelligence (AI) offers unprecedented opportunities to analyze complex biomedical signal patterns and predict the onset of diseases at an early stage. The application of AI techniques like machine learning and deep learning in conjunction with BDA allows for the detection of subtle patterns in large (...) datasets that might be missed by conventional diagnostic methods. This paper explores the integration of Big Data Analytics and AI for early disease detection through the analysis of biomedical signal patterns, such as electrocardiograms (ECG), electroencephalograms (EEG), and wearable sensor data. AI algorithms, trained on vast datasets, can recognize early warning signals of various diseases such as cardiovascular disorders, neurodegenerative diseases, and respiratory conditions. The ability to analyze these signals in real time enables early intervention, potentially improving patient outcomes and reducing healthcare costs. A comprehensive literature review highlights the use of BDA and AI in biomedical applications and the challenges associated with data volume, quality, and heterogeneity. We propose a system methodology that combines AI models with real-time Big Data Analytics to process biomedical signals efficiently and accurately. The proposed system leverages AI for feature extraction and classification while utilizing Big Data tools to handle the massive influx of data from biomedical devices and sensors. This approach not only enhances diagnostic precision but also paves the way for personalized healthcare solutions. (shrink)

. In the evolving landscape of healthcare, the efficient processing of biomedical signals is critical for real-time diagnosis and personalized treatment. Conventional cloud-based AI systems for biomedical signal processing face challenges such as high latency, bandwidth consumption, and data privacy concerns. Edge computing, which brings data processing closer to the source, has emerged as a potential solution to these limitations. However, optimizing AI models for edge devices, which often have limited computational resources, remains a challenge. This paper proposes an innovative (...) approach to optimize AI models for biomedical signal processing by leveraging reinforcement learning (RL) techniques within edge computing environments. Reinforcement learning offers the potential to dynamically adapt model parameters based on real-time feedback from the edge devices, optimizing the trade-offs between model accuracy, resource utilization, and processing speed. The proposed system is designed to operate with high efficiency on edge devices, enabling faster signal processing while ensuring energy efficiency and maintaining diagnostic accuracy. A detailed review of existing literature highlights the benefits and challenges of edge computing in biomedical applications, the role of reinforcement learning in dynamic optimization, and the limitations of traditional AI models in constrained environments. The proposed system methodology integrates RL for model optimization, focusing on edge devices' unique constraints in terms of power, memory, and processing capacity. Simulation results demonstrate the improved efficiency and accuracy of biomedical signal processing with optimized AI models in edge computing setups, showing significant improvements in real-time diagnostic applications. (shrink)

The healthcare sector is undergoing a transformative shift towards smart healthcare, driven by advancements in technology, including Artificial Intelligence (AI) and Blockchain. As healthcare systems generate vast amounts of data from multiple sources, such as electronic health records (EHRs), medical imaging, wearable devices, and sensor-based monitoring, the challenge lies in securely integrating and analyzing this data for real-time, actionable insights. Blockchain technology, with its decentralized, immutable, and transparent framework, offers a robust solution for securing data integrity, privacy, and sharing across (...) healthcare networks. AI, on the other hand, enables advanced data analytics, providing healthcare professionals with predictive insights, early diagnosis, and personalized treatment plans. This paper explores the integration of Blockchain and AI for advanced data management in smart healthcare. We propose a system that utilizes Blockchain for secure and transparent data storage, ensuring that healthcare data from various sources is tamper-proof and can be shared across multiple stakeholders. AI algorithms, particularly machine learning and deep learning models, are applied to the integrated data to detect patterns, predict disease progression, and optimize treatment plans. By leveraging Blockchain, healthcare data can be securely shared across providers and patients, ensuring privacy and regulatory compliance, while AI technologies provide the intelligence required for enhancing clinical decision-making. This integrated system not only addresses the growing concerns surrounding data security and privacy but also promotes interoperability and collaboration within the healthcare ecosystem. The paper discusses the challenges, opportunities, and future directions of Blockchain and AI integration in smart healthcare systems, highlighting how this convergence can lead to more efficient, secure, and personalized healthcare services. (shrink)

The Internet of Things (IoT) wireless LAN in healthcare has moved away from traditional methods that include hospital visits and continuous monitoring. The Internet of Things allows the use of certain means, including the detection, processing and transmission of physical and biomedical parameters. With powerful algorithms and intelligent systems, it will be available to provide unprecedented levels of critical data for real-time life that are collected and analyzed to guide people in research, management and emergency care. This chapter provides a (...) quick overview of IoT features and how they relate to wireless discovery and technology to deploy the medical applications you need. In the world, the revolution in any industry is to connect your products and devices to the Internet and make them independent and remotely connected, so that anyone can use and view them from anywhere and anytime. The Internet of Things provides us with a home automation system that uses smart devices to overcome this obstacle, allowing us to easily manage our appliances. A smart city is a vision to integrate a variety of information and communication solutions for residents with essential services, such as smart parking on all streets. The main motivation for using the Internet for parking objects is simply collecting data to get free parking. The IoT-based RTSSPS architecture is divided into three parts: a WSN-based smart street parking module, an IoT-based smart street parking module, and an IoT-based smart street parking module. IoT-based cloud with street parking algorithm, rating and future directions. (shrink)

Zero Trust (ZT) is a security model that assumes no entity, whether inside or outside the network, is trusted by default. As organizations increasingly migrate their infrastructure to the cloud, traditional perimeter-based security models prove ineffective in protecting against advanced threats. This paper explores the implementation of Zero Trust in cloud environments and its impact on enhancing security in the modern era. By focusing on identity management, network segmentation, and continuous verification, the study highlights the key principles of Zero Trust (...) and discusses its effectiveness in mitigating risks like data breaches and insider threats. The paper also examines best practices, challenges, and future trends in adopting Zero Trust within cloud ecosystems. (shrink)

With the increasing demand for machine learning (ML) applications across various industries, the environmental impact of training large models has become a significant concern. Green AI emphasizes the development of machine learning models that are energy-efficient, requiring fewer computational resources while maintaining high performance. This paper explores how lightweight machine learning models, implemented with Python, can contribute to Green AI practices. We review several approaches for designing compact models, including model pruning, knowledge distillation, and efficient architectures such as decision trees, (...) linear models, and lightweight neural networks. By adopting these techniques, organizations can reduce the carbon footprint of AI systems without compromising accuracy. Through practical examples, we demonstrate how Python libraries and tools can facilitate the creation of lightweight models in an energy-efficient manner. (shrink)

My aim in this paper is to critically evaluate the debate surrounding the distinction between phenomenal and representational character of conscious experience which is one of the important debates in contemporary philosophy of mind and consciousness studies. The main objective of this paper is to seek an answer to the question- whether the content of conscious experience is phenomenal or intentional, or both? In the introduction, I will introduce the phenomenal and representational as two significant properties of consciousness. In the (...) first part, I will articulate the debate regarding the distinction between phenomenal and representational character of consciousness. Here I will argue that the phenomenal and representational properties of experience are not mutually exclusive of each other as many philosophers have taken them to be and one can be understood in relation to the other. In relation to the above distinction, many theories of consciousness have been developed emphasizing on the one or the other property of consciousness. My second objective in this paper is to argue against the strong or reductive representationalism. In relation to this, I will discuss Michael Tye’s position as a representative of strong representationalism. In the third part, I will argue against it drawing sources from the works of various non-reductive representationalists particularly from Tim Crane’s version of representationalism. In the final section, I will try to defend a position which may be called phenomenological representationalism where I will try to reconcile the divide between phenomenology and intentionality. In this context, I will argue, on the one hand, against the Cartesian notion of subjectivity which leads to pure phenomenal consciousness and, on the other hand, against the physical explanation of consciousness which leads to strong representationalism. (shrink)

My aim in this paper is to critically evaluate the debate between John McDowell and Michael Friedman on the nature of understanding and relativism. McDowell in his magnum opus Mind and World, has argued in favour of the view that the way we are open to reality is constituted by concepts. According to him, our openness to reality is placed in the space of reasons which is nothing but space of concepts. Friedman in his critical and detail review of McDowell’s (...) book has taken McDowell’s project in his book in particular and in his philosophy in general as the project of not constructing philosophical theories but of exorcising the philosophical traditions. It is indeed so as McDowell himself has acknowledged because he closely follows Wittgensteinian quietism in his approach to various philosophical problems. While explaining how our knowledge and perception of the world among other things are placed in the space of reasons, towards the end of his book, McDowell relates space of reasons to language and tradition. Space of reasons, in his opinion, can be understood, in terms of initiating ourselves into language and inheriting the tradition. He thus says, “…the sort of language into which human beings are first initiated, serves as a repository of tradition, a store of historically accumulated wisdom about what is reason for what.” And this is Gadamer in significant sense. (shrink)

Philosophers throughout the ages have struggled to explain the way or ways by which we can acquire knowledge about the external world. With an aim to meet the skeptical challenges regarding the possibility of knowledge, various accounts of knowledge have been developed across philosophical traditions. The worry to meet skeptical challenges is implicitly or explicitly present in almost every philosophical account of knowledge. Many philosophers, while explaining about the nature and the possibility of knowledge, have talked about placing it in (...) the space of reasons or space of justifications. So, I think one of the ways in which we can respond to skeptical challenges is by developing a proper understanding of the space of reasons and justifications where we place our knowledge. When we talk about the space of reasons, it is also important to highlight, in this context, its relationship with the natural world. I would like to emphasize in this regard that there has been a normative turn specifically in the works of John McDowell and Robert Brandom after the naturalistic turn in epistemology. But one can ask- why is there a need of a normative turn after a seemingly successful naturalistic turn in epistemology? I call them normative epistemologists those who have argued that knowledge should be understood by placing it properly in the space of reasons which is necessarily a normative space. I think John McDowell, Robert Brandom and their philosophical heroes Immanuel Kant and G. W. F. Hegel fall into this category of epistemologists. Normative epistemologists have always argued that a philosophical account of knowledge in order to meet the skeptical challenges has to place our knowledge satisfactorily in the space of reasons and various ways of placing knowledge in the space of reasons have been developed in this regard. The significant questions that have been asked in this context are- what could be the best plausible way to place knowledge in the space of reasons? Is placing knowledge in the space of reasons enough to avoid the skeptical challenges regarding the possibility of knowledge? According to some philosophers, the skeptical problems arise because of a certain misunderstanding of space of reasons i.e. the interiorization of the space of reasons. On the interiorized conception of the space of reasons, there is need of extra elements beyond the space of reasons which are required for our knowledge but are not part of the logical space. In this paper, my aim, following Kant and McDowell, is to propose a critique of interiorized conception of space of reasons and show how this conception leads to various problems regarding the possibility of knowledge. In this context, I will specifically discuss argument from illusion as a skeptical challenge for the possibility of knowledge and McDowell’s response to it. In the second part of my paper, my aim is to discuss the debate between McDowell and Brandom on the nature and extent of the space of reasons. (shrink)

The relationship between experience and thought is one of the distinctive problems in contemporary philosophy and has significant implications for both philosophy of mind and epistemology. John McDowell in his Magnum Opus Mind and World has argued in favour of a rational and conceptual relationship between experience and thought. In our understanding of the relationship between experience and thought, in his opinion, we fall into an “intolerable oscillation” between Myth of the Given and Coherentism. One of these pitfalls, he specifically (...) targets, is Davidson’s coherentism according to which there cannot be rational relationship between experience and thought. The point Davidson makes is that our perception of the world cannot give justification to our beliefs about the world. Only a belief, in his opinion, can justify another belief and this is considered to be one of the most controversial claims in contemporary philosophy. Both Davidson and McDowell would agree that the root of the problem pertaining to the relationship between experience and thought lies in the relationship between reason and nature (rationality and natural world). In this paper, my aim is to critically evaluate the debate between Davidson and McDowell about the relationship between experience and thought in connection with their views on the relationship between reason and nature. I will argue that a rational relation between experience and thought is necessary for our thought to have a genuine content from the external world. (shrink)

With the exponential growth of online social networks, now boasting over 4 billion active users, maintaining data integrity and ensuring user security has become increasingly challenging. Social media platforms face numerous security threats, including the creation of fake profiles by malicious users seeking to steal sensitive information, spread misinformation, or engage in fraudulent activities. Due to the anonymity afforded by these platforms, detecting such deceptive accounts manually is both difficult and inefficient. This project focuses on the detection of fake profiles (...) using machine learning and deep learning techniques, trained on platform-specific datasets to improve accuracy. A web-based application has been developed featuring four core modules, each dedicated to a major social media platform experiencing rapid user growth. Each module integrates a trained model to assess and classify user profiles as real or fake. Currently, the system has been implemented for Instagram, with plans to expand to other platforms. This approach aims to provide a scalable and intelligent solution to enhance user trust and safety across social media environments. (shrink)

This research examines the problems faced by women with PCOD (Polycystic Ovarian Disorder) and PCOS (Polycystic Ovary Syndrome) and examines the likely contribution of an e-healthcare platform, CystaCare, to addressing these challenges. PCOD and PCOS are endocrine disorders of significant complexity with profound effects on the reproductive, metabolic, and psychological health of women. Although there is an increasing prevalence of these conditions, there is still an enormous gap in the availability of expert care, and diagnosis is late, care is poor, (...) and health outcomes are poor. Lack of organization of care is also a contributory factor, and it is hard for women to control their symptoms. To better understand these issues, a quantitative survey was conducted through Google Forms among 100 women aged 14 to 45 years with a PCOD or PCOS diagnosis or suggestive symptoms of these diseases. The survey was done through a snowball sampling method to obtain a wide range of responses. Questions were framed to measure the participants' experience with symptom management, satisfaction with existing practices of treatment, perceived shortcomings in the healthcare system, and readiness to embrace digital health solutions. Data collected through the survey were analyzed through statistical analysis, such as chi-square tests, t-tests, and correlation analysis, to determine patterns and correlations. The results indicate that a high percentage of women report frequent symptoms such as irregular menstruation, weight gain, and acne, to some degree. However, no statistical correlation between PCOD/PCOS diagnosis and the presence of these symptoms was observed, suggesting the need for more research with larger sample sizes. The research also did not observe any correlation between PCOD/PCOS diagnosis and infertility, unlike common beliefs. The fact that no significant correlation was observed between the diagnosis and fertility issues reported suggests other causes of infertility, which must be determined. (shrink)

The early and accurate detection of plant diseases plays a vital role in minimizing crop damage and enhancing agricultural productivity. Traditional methods for identifying plant diseases—such as manual observation and expert consultations—are often time-consuming, costly, and reliant on the availability of skilled personnel. To overcome these limitations, this study presents an automated system for plant disease detection using advanced machine learning techniques. The proposed framework utilizes convolutional neural networks (CNNs), specifically pretrained models like ResNet and SqueezeNet, to analyze images of (...) plant leaves and classify them as healthy or diseased. The system begins with the collection and preprocessing of a diverse dataset comprising both healthy and infected leaf samples. Image augmentation techniques such as rotation, scaling, and flipping are applied to increase dataset variability and enhance model robustness. Subsequently, feature extraction is conducted through CNN-based models that capture color, shape, and texture-based characteristics from the leaf images. Transfer learning is employed to finetune the models on the specific dataset, leveraging previously learned features for improved accuracy. The performance of the trained models is evaluated using key metrics including accuracy, precision, recall, and F1- score. Experimental results indicate a high degree of classification accuracy and generalization capability on unseen data. The final model is deployed through a user-friendly interface that can be integrated into mobile or web-based applications, allowing farmers to upload leaf images and receive instant disease diagnosis and possible treatment recommendations. The proposed system holds significant promise for real-world applications, particularly in regions with limited access to agricultural experts. Moreover, its scalability and adaptability pave the way for future extensions to other crops and disease types. This research underscores the transformative potential of machine learning in precision agriculture, offering a cost-effective, scalable, and efficient solution for early plant disease detection. (shrink)

Advancements in cloud technologies have increased the infrastructural needs of data centers due to storage needs and processing of extensive dimensional data. Many service providers envisage anomaly detection criteria to guarantee availability to avoid breakdowns and complexities caused due to large-scale operations. The streaming log data generated is associated with multi-dimensional complexity and thus poses a considerable challenge to detect the anomalies or unusual occurrences in the data. In this research, a hybrid model is proposed that is motivated by deep (...) belief criteria and meta-heuristics. Using Search-and-Rescue—BrainStorm Optimization (SAR-BSO), a hybrid feature selection (FS) and deep belief network classifier is used to localize and detect anomalies for streaming data logs. The significant contribution of the research lies in FS, which is carried out using SAR-BSO which increases the detection power of the model as it selects the most significant variables by minimizing redundant features. The evaluation of accuracy is efficiently improved when compared with the predictable methods, such as Extract Local Outlier Factor (ELOF), Track-plus, Hybrid Distributed Batch Stream (HDBS), IForestASD, DBN, BSO-based Feature Selection with DBN, Genetic Algorithm-Deep Belief Network (GA-DBN), Mutual Information-Deep Belief Network (MI-DBN), information entropy-Deep Belief Network(I + DBN), Flat Field-Deep Belief Network (FF + DBN), African Vulture Optimization Algorithm-Deep Belief Network(AVOA + DBN), Gorilla Troop Optimizer-Deep Belief Network(GTO-DBN), and SARO-based Feature Selection with DBN. Further, the accurate detection of the anomalies in the data stream is established by the Deep Belief Neural Network (DBN) classifier. The model’s efficacy is determined using Apache, Hadoop, HDFS, Spark, and Linux datasets and evaluated against existing similar models. The model efficiency is provided using multiple evaluation metrics and is found effective. From the experimentation, the accuracy of the proposed model is found to be 93.3, 95.4, 93.6, 94.2, and 93.5% respectively for the dataset such as Apache, Hadoop, HDFS, spark, and Linux. This enhancement in accuracy is due to the selection of optimal features by the proposed SAR-BSO algorithm. (shrink)

This volum includes 37 papers of mathematics or applied mathematics written by the author alone or in collaboration with the following co-authors: Cătălin Barbu, Mihály Bencze, Octavian Cira, Marian Niţu, Ion Pătraşcu, Mircea E. Şelariu, Rajan Alex, Xingsen Li, Tudor Păroiu, Luige Vlădăreanu, Victor Vlădăreanu, Ştefan Vlăduţescu, Yingjie Tian, Mohd Anasri, Lucian Căpitanu, Valeri Kroumov, Kimihiro Okuyama, Gabriela Tonţ, A. A. Adewara, Manoj K. Chaudhary, Mukesh Kumar, Sachin Malik, Alka Mittal, Neetish Sharma, Rakesh K. Shukla, Ashish K. Singh, Jayant (...) Singh, Rajesh Singh, V.V. Singh, Hansraj Yadav, Amit Bhaghel, Dipti Chauhan, V. Christianto, Priti Singh, and Dmitri Rabounski. (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: 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)

Abstract: Potatoes are edible tubers, available worldwide and all year long. They are relatively cheap to grow, rich in nutrients, and they can make a delicious treat. The humble potato has fallen in popularity in recent years, due to the interest in low-carb foods. However, the fiber, vitamins, minerals, and phytochemicals it provides can help ward off disease and benefit human health. They are an important staple food in many countries around the world. There are an estimated 200 varieties of (...) potatoes, which can be classified into a number of categories based on the cooked texture and ingredient functionality. Using a public dataset of 2400 images of potatoes, we trained a deep convolutional neural network to identify 4 types (Red, Red Washed, Sweet, and White).The trained model achieved an accuracy of 99.5% of test set, demonstrating the feasibility of this approach. (shrink)

The relationship between law and coercion has always been a highly controversial topic in contemporary legal philosophy. After an initial phase in which there was a strong consensus on its essential importance for law, an apparent consensus on the exact opposite has emerged in the last decades. In recent years, however, several important publications have reignited the debate. They criticise the latter position and argue strongly in favour of considering coercion as a necessary or relevant property of law, as well (...) as propose new ways to approach the debate and conceive the relevant question. -/- The aim of this chapter is to contribute to the revitalised debate by arguing for the importance of coercion both for the existence of law and for the function(s) of law. I will argue that if law is seen as a tool or artefact, the fulfilment of its function(s) depends both on its existence and on its possession of a certain property that enables the achievement of that end. I will then show how coercion can be understood as necessary for the existence of law by analysing two main arguments for coercion-dependent existence: that coercion is motivationally necessary to ensure conformity to law, and that it is necessary to ensure the existence of a community. Finally, even if this argument fails, I will show that coercion can nevertheless be understood as the particular property that law has to fulfil its function(s). I will argue that this is the case for most of the possible functions of law, especially those related to behaviour-guidance and coordination-solving. -/- I will proceed as follows. In section 2, I will address some useful definitions of coercion and law and offer some insights into the view of law as an artefact and the functions ascribed to it. In section 3, I will set out some general theoretical positions on the relationship between coercion and law that will help to frame the content of the arguments that follow in the next section. In section 4, I will analyse the role and significance of coercion for the existence of legal systems (4.1) and for the function of legal systems (4.2). Finally, in section 5, I will offer some concluding remarks. (shrink)

This essay is about the relationship between the notions of practical reason, the will, and choice in Kant’s practical philosophy. Although Kant explicitly identifies practical reason and the will, many interpreters argue that he cannot really mean it on the grounds that unless they are distinct, irrational and, especially, immoral action is impossible. Other readers affirm his identification but distinguish the will from choice on the same basis. We argue that proper attention to Kant’s conception of practical reason as a (...) capacity reveals that these distinctions are neither textually grounded nor philosophically necessary. His moral psychology concerns a single capacity, practical reason, which is the will, and whose actualities in this or that individual fall under the title of choice. Practical reason is the will and choice because it is the rational faculty of desire: a rational being’s capacity to be, by means of her representations, the cause of the actuality of their objects. This, we argue, is entailed by his conception of rational action: action not just in accordance with, but in and through the representation of, principles. The possibility of irrational action is explained not by a distinction between capacities but by the finitude, and thereby the fallibility, of human reason. (shrink)

There are many things—call them ‘experts’—that you should defer to in forming your opinions. The trouble is, many experts are modest: they’re less than certain that they are worthy of deference. When this happens, the standard theories of deference break down: the most popular (“Reflection”-style) principles collapse to inconsistency, while their most popular (“New-Reflection”-style) variants allow you to defer to someone while regarding them as an anti-expert. We propose a middle way: deferring to someone involves preferring to make any decision (...) using their opinions instead of your own. In a slogan, deferring opinions is deferring decisions. Generalizing the proposal of Dorst (2020a), we first formulate a new principle that shows exactly how your opinions must relate to an expert’s for this to be so. We then build off the results of Levinstein (2019) and Campbell-Moore (2020) to show that this principle is also equivalent to the constraint that you must always expect the expert’s estimates to be more accurate than your own. Finally, we characterize the conditions an expert’s opinions must meet to be worthy of deference in this sense, showing how they sit naturally between the too-strong constraints of Reflection and the too-weak constraints of New Reflection. (shrink)

Essentialism is widely regarded as a mistaken view of biological kinds, such as species. After recounting why (sections 2-3), we provide a brief survey of the chief responses to the “death of essentialism” in the philosophy of biology (section 4). We then develop one of these responses, the claim that biological kinds are homeostatic property clusters (sections 5-6) illustrating this view with several novel examples (section 7). Although this view was first expressed 20 years ago, and has received recent discussion (...) and critique, it remains underdeveloped and is often misrepresented by its critics (section 8). (shrink)

The aim of the research is to identify the relationship between the performance criteria and the achievement of the objectives of supervision which is represented in the performance of the job at the Islamic University in Gaza Strip. To achieve the objectives of the research, the researchers used the descriptive analytical approach to collect information. The questionnaire consisted of (22) paragraphs distributed to three categories of employees of the Islamic University (senior management, faculty members, their assistants and members of the (...) administrative board). A random sample of 314 employees was selected, 276 responses were retrieved with a return rate of 88.1%. The SPSS program was used to enter, process, and analyze the data. The results of the study showed a positive relationship between the performance criteria and the achievement of the control objectives represented by the job performance in the Islamic University from the point of view of the members (senior management, faculty and their assistants and the administrative board). The researchers also recommended a number of recommendations, including the provision of an appropriate level of control system components today through the continuous updating and development of performance standards and the need to provide the necessary physical and financial resources to continue the development and achievement within the university. Expand the development of technology in the various activities of the university through the construction of a complete and integrated system to support the control systems in the university to suit its size. The researchers also recommended the follow-up, review of the performance standards and work to modify them in line with the mission of the university and the goals that the university seeks to reach. (shrink)

Silence sometimes constitutes moral complicity. We see this when protestors take to the streets against racial injustice. Think of signs with the words: “Silence is complicity.” We see this in instances of sexual harassment, when we learn that many knew and said nothing. We see this in cases of wrongdoing within a company or organization, when it becomes clear that many were aware of the negligent or criminal activity and stayed silent. In cases like this we consider agents morally complicit (...) in virtue of their silence. Flagrant injustices cry out for action, and sometimes remaining silent amounts to complicity in those injustices. What philosophy owes us is an account of how it could be that silence constitutes complicity. In this paper I argue that one possibility is an account grounded in problematic deliberative contribution. The core idea of “deliberative complicity,” as I call it, is that agents have moral duties concerning the moral deliberation of other agents, and failures in these duties can amount to moral complicity. For example, an agent aware that a colleague is sexually harassing his students has a deliberative obligation to report the misconduct, and their silence in failing to report constitutes a failure to fulfill their deliberative obligation, a failure that grounds their moral complicity in the harassment. If my argument is successful, it provides a distinctive reason to prefer a deliberative account of moral complicity: it can capture cases of silent complicity that other views of moral complicity cannot. And further, by turning our attention toward our interpersonal deliberative obligations, a deliberative account of complicity can incorporate helpful resources from recent work in social epistemology and speech act theory as we set out to determine when and why silence amounts to complicity. And when it does, we cannot stay silent. We must speak. (shrink)

One of the most plausible and widely discussed examples of strong emergence is molecular structure. The only detailed account of it, which has been very influential, is due to Robin Hendry and is formulated in terms of downward causation. This paper explains Hendry’s account of the strong emergence of molecular structure and argues that it is coherent only if one assumes a diachronic reflexive notion of downward causation. However, in the context of this notion of downward causation, the strong emergence (...) of molecular structure faces three challenges that have not been met and which have so far remained unnoticed. First, the putative empirical evidence presented for the strong emergence of molecular structure equally undermines supervenience, which is one of the main tenets of strong emergence. Secondly, it is ambiguous how the assumption of determinate nuclear positions is invoked for the support of strong emergence, as the role of this assumption in Hendry’s argument can be interpreted in more than one way. Lastly, there are understandings of causation which render the postulation of a downward causal relation between a molecule’s structure and its quantum mechanical entities, untenable. (shrink)

Quality of will accounts of moral responsibility hold that ill will is necessary for blameworthiness. But all such accounts are false to ordinary moral practice, which licenses blame for agents who act wrongly from epistemically unreasonable ignorance even if the act is not ill willed. This should be especially concerning to Strawsonians about moral responsibility, who think the genuine conditions of blameworthiness are derived from the standards internal to our practice. In response, I provide a theory of moral blameworthiness on (...) which ill will is not necessary for blameworthiness. On the view I defend, “Rational Capacitarianism,” agents are blameworthy whenever they act wrongly from an unreasonable attitude which is attributable to them, where an attitude is attributable to an agent just in case she has the capacity to assess reasons for and against the attitude and modulate the attitude in light of these assessments. Acting from unreasonable ignorance is just a special case of acting from an unreasonable attitude. My theory contrasts both with both quality of will accounts of blameworthiness and the Capacitarian view, which specifies that agents who act wrongly from ignorance are culpable if they could and should have known better. On Capacitarianism, a variety of awareness-relevant capacities are pertinent, including memory; on my view it is only failures of rational capacities that render the agent culpable, because only failures of rational capacities are attributable to the agent. (shrink)

Traditional definitions of lying require that a speaker believe that what she asserts is false. Sam Fox Krauss seeks to jettison the traditional belief requirement in favour of a necessary condition given in a credence-accuracy framework, on which the liar expects to impose the risk of increased inaccuracy on the hearer. He argues that this necessary condition importantly captures nearby cases as lies which the traditional view neglects. I argue, however, that Krauss's own account suffers from an identical drawback of (...) being unable to explain nearby cases; and even worse, that account fails to distinguish cases of telling lies from cases of telling the truth. (shrink)

The W-defense is among the most prominent arguments for the principle of alternative possibilities (PAP). Here I offer some considerations in support of the W-defense and respond to what I see as the most forceful objections to it to date. My response to these objections invokes the well-known flicker of freedom response to Frankfurt cases. I argue that the W-defense and the flicker response are mutually reinforcing and together yield a compelling defense of PAP.

According to the fitting attitude (FA) analysis of value concepts, to conceive of an object as having a given value is to conceive of it as being such that a certain evaluative attitude taken towards it would be fitting. Among the challenges that this analysis has to face, two are especially pressing. The first is a psychological challenge: the FA analysis must call upon attitudes that shed light on our value concepts while not presupposing the mastery of these concepts. The (...) second challenge is normative: the FA analysis must account for the fittingness of the relevant attitudes in terms of a kind of normativity intimately related to these attitudes, but again without presupposing the mastery of the relevant value concepts. In this paper, we show that real progress is possible if we pay close attention to the nature of the attitudes recruited by the analysis. More specifically, we claim that an FA analysis that appeals to emotions conceived as evaluative attitudes — as opposed to, for instance, evaluative judgements or evaluative perceptions — has the best prospects of meeting the two challenges and of putting the FA analysis on a strong footing. (shrink)

It is not a particularly hard thing to want or seek explanations. In fact, explanations seem to be a large and natural part of our cognitive lives. Children ask why and how questions very early in development and seem genuinely to want some sort of answer, despite our often being poorly equipped to provide them at the appropriate level of sophistication and detail. We seek and receive explanations in every sphere of our adult lives, whether it be to understand why (...) a friendship has foundered, why a car will not start, or why ice expands when it freezes. Moreover, correctly or incorrectly, most of the time we think we know when we have or have not received a good explanation. There is a sense both that a given, successful explanation satisfies a cognitive need, and that a questionable or dubious explanation does not. There are also compelling intuitions about what make good explanations in terms of their form, that is, a sense of when they are structured correctly. (shrink)

Problems in normative ethics paradigmatically concern what it is obligatory or permissible for an individual to do. Yet sometimes, each of us ought to do something individually in virtue of what we ought to do together. Unfortunately, traversing these two different levels at which a moral obligation can arise – individual and collective – is fraught with difficulties that easily lure us into conclusions muddying our understanding of collective obligations. This paper seeks to clearly lay out a systematic problem central (...) to the relation between collective and individual duties in view of alleviating some such confusion and facilitating more concerted attempts at resolving it: Collective duties require individuals to act in order for the collective duty to be fulfilled. Yet typically, a collective duty does not entail any one set of individual duties that would prescribe such contributory actions: The work we need to do in order to fulfil a duty can be allocated differently to the individuals collectively bearing it. Much like in matters of distributive justice, then, deriving individual duties from a collective one requires us to employ a distributive scheme, which raises separate normative concerns that have rarely taken centre stage in the debate so far. (shrink)

Liên minh Châu Âu (EU) đã đặt ra một mục tiêu táo bạo và đầy tham vọng là ngăn chặn và đảo ngược sự suy giảm đa dạng sinh học thông qua Chiến lược Đa dạng Sinh học đến năm 2030...

We show that early vision can use monocular cues to rapidly complete partially-occluded objects. Visual search for easily detected fragments becomes difficult when the completed shape is similar to others in the display; conversely, search for fragments that are difficult to detect becomes easy when the completed shape is distinctive. Results indicate that completion occurs via the occlusion-triggered removal of occlusion edges and linking of associated regions. We fail to find evidence for a visible filling-in of contours or surfaces, but (...) do find evidence for a "functional" filling-in that prevents the constituent fragments from being rapidly accessed. As such, it is only the completed structures—and not the fragments themselves—that serve as the basis for rapid recognition. (shrink)

Abstract: The convergence of nanotechnology and artificial intelligence (AI) represents a transformative frontier in modern science, with the potential to revolutionize multiple industries, particularly healthcare. Nanotechnology enables the manipulation of matter at the atomic and molecular scale, while AI offers sophisticated data analysis, pattern recognition, and decision-making capabilities. This paper explores the synergies between these two fields, focusing on their impact on medical diagnostics, targeted drug delivery, and personalized treatments. By leveraging AI's predictive power and nanotechnology's precision, healthcare can achieve (...) unprecedented levels of accuracy in disease detection and treatment, leading to improved patient outcomes. Beyond healthcare, this convergence extends to environmental monitoring, smart materials, and manufacturing, offering solutions to some of the world’s most pressing challenges. The paper also discusses the ethical considerations and potential risks of integrating AI with nanotechnology, emphasizing the need for responsible innovation. Together, AI and nanotechnology hold the promise of reshaping industries and improving quality of life on a global . (shrink)

Our visual experience of the world is one of diverse objects and events, each with particular colors, shapes, and motions. This experience is so coherent, so immediate, and so effortless that it seems to result from a single system that lets us experience everything in our field of view. But however appealing, this belief is mistaken: there are severe limits on what can be visually experienced. -/- For example, in a display for air-traffic control it is important to track all (...) moving items. For a single item, this can be done without problem. Three or four can also be tracked, although some degree of effort may be needed. As the number is increased further, accurate tracking becomes more and more difficult—and eventually, impossible. Performance is evidently affected by a factor within the observer which enables certain kinds of perception to occur, but is limited in some way. This factor is generally referred to as attention. -/- At various times, attention has been associated with clarity of perception, intensity of perception, consciousness, selection, or the allocation of a limited “resource” enabling various operations (see Hatfield, 1998). During the past several decades, considerable progress has been achieved by focusing on the idea of selection (Broadbent, 1982). In particular, attention can be productively viewed as contingently selective processing. This can be embodied in various ways by various processes—there need not be a single quantity identified with all forms of attention, or a single site where it operates (Allport, 1993; Tsotsos, 2011). Although “paying attention” is often considered to be a unitary operation, it may simply refer to the control of one or more selective processes, ideally in a co-ordinated way. While this view has some cost in terms of conceptual simplicity, it can help make sense of a large set of phenomena. -/- This article surveys several of the major issues in our understanding of attention and how it relates to perception. It focuses on vision, since many—if not all—considerations are similar for all sensory modalities, and the level of understanding achieved in this domain is currently the most advanced. (shrink)

By “pantheism” I mean to pick out a model of God on which God is identical with the totality of existents constitutive of the universe. I assume that, on pantheism, God is an omnispatiotemporal mind who is identical with the universe. I assume that, given divine omnispatiotemporality, God knows everything that can be known in the universe. This includes having knowledge de se of the minds of every conscious creature. Hence, if God has knowledge de se of the minds of (...) every conscious creature, then divine omniscience implies omnisubjectivity. Assuming that eternalism is true, robust temporal passage is an illusion. But, conscious creatures, such as human persons, experience robust temporal passage. If God has the attribute of omnisubjectivity, then God experiences temporal passage. However, God also has a unified experience of the entire spatiotemporal continuum. God’s having these two perspectives creates a tension for pantheism given that God would seem to experience both temporal passage and an absence of temporal passage. I compare non-personal pantheism and personal pantheism and consider which one has better resources to answer the foregoing puzzle. I argue that personal pantheism is better equipped to address this problem than non-personal pantheism. (shrink)

When attempting to capture the concept of enlightenment that underlies and motivates philosophical (and political and scientific) developments in the 18th century, historians of philosophy frequently rely upon a needlessly but intentionally exclusive account. This, namely, is the conception of enlightenment first proposed by Kant in his famous essay of 1784, which takes enlightenment to consist in the “emergence from the self-imposed state of minority” and which is only possible for a “public” to attain as a result of the public (...) use of reason, a privilege enjoyed by citizens and exemplified in the activity of the scholar. That women, among other groups, did not hold the status of citizens and did not enjoy access to the institutions or training that might gain them recognition as scholars is apparently not a concern for Kant, as he notes that the enlightened condition is likely out of reach anyway for “by far the greatest part of humankind (including the entire fair sex)” (AA 8:35). This naturally leads one to wonder what a history of this period could look like when considered from the perspective of a different, more inclusive conception of enlightenment, and in this chapter I propose to conduct an experiment of sorts just along these lines. As opposed to Kant’s exclusionary conception, I will instead take that proposed by his distinguished contemporary, Moses Mendelssohn, as my starting point. In addition to offering a conception of enlightenment distinctive both for its wide scope and progressive character, Mendelssohn’s has the advantage, or so I will show, of bringing the manifold intellectual contributions of a diverse set of women into focus, though it does more than this in that it also reveals these women to actively and critically engage with key aspects of Mendelssohn’s and others’ philosophical views. (shrink)

This paper examines the need for static dispositions within the basic ontology of the powers view of properties. To lend some focus, Neil Williams’s well developed case for static dispositions is considered. While his arguments are not necessarily intended to address fundamental ontology, they still provide a useful starting point, a springboard for diving into the deeper metaphysical waters of the dispositionalist approach. Within that ontological context, this paper contends that Williams’s arguments fail to establish the need to posit static (...) dispositions, or at least any sort not already well appreciated by advocates of the powers view. The paper then proceeds to suggest an alternative motivation for positing static dispositions, the success of which depends greatly on which ontological approach to objects is paired with the powers view. (shrink)

Recent scientific approaches to aesthetics include evolutionary theories about the origin of art behavior, psychological investigations into human aesthetic experience and preferences, and neurophysiological explorations of the mechanisms underlying art experience. Critics of these approaches argue that they are ultimately irrelevant to a philosophical aesthetics because they cannot help us understand the distinctive conceptual basis and normativity of our art experience. This criticism may seem plausible given the piecemeal nature of these scientific approaches, but a more comprehensive naturalistic framework can (...) help us understand the conceptual basis and normativity of art. In particular, the ecology of art, an understanding of how individuals interact within particular environments, can help us understand the engineered art niches in which we create and experience art. Each niche is associated with a particular deme, or set of individuals that interact within that niche, and a set of cognitive, epistemic, and pedagogical technologies that form the conceptual basis of a niche-dependent normativity. This is to be contrasted with the niche-independent normativity revealed by many of the scientific approaches. This framework, and the conflicting streams of normativity it reveals, allows us to better understand conflicts in normativity and the implausibility of unequivocal and universal normative principles. (shrink)

The study determined the influence of innate mathematical characteristics on the number sense competencies of junior high school students in a Philippine public school. The descriptive-correlational research design was used to accomplish the study involving a nonrandom sample of sixty 7th-grade students attending synchronous math sessions. Data obtained from the math-specific Learning Style and Self-Efficacy questionnaires and the modified Number Sense Test (NST) were analyzed and interpreted using descriptive statistics, Pearson’s Chi-Square, and Simple Linear Regression analysis. The research instruments and (...) statistics were all validated and tested for reliability. The analysis revealed that the students are visual learners, had no or slight self-efficacy, and their number sense competency level is poor. They encountered difficulty in all the components and domains of the NST. Moreover, the students’ mathematical self-efficacy is significantly related and may influence their number sense competency level. Building upon the learners’ self-efficacy to further their understanding and skills in number sense is necessary. (shrink)

ESP: El concepto de alma en las filosofías de Platón y Aristóteles, por la posición que ocupa en sus argumentos relativos a la esclavitud, fue central para la estructura ideológica sobre la que se sostuvo la institución esclavista durante la Colonia. Será importante remitirnos, en un primer momento, al estudio de Erwin Rohde sobre este concepto, para examinar la materialidad del hálito y plantear una relación entre la mirada y la configuración de imaginarios. Posteriormente, examinaremos el lugar que tiene el (...) alma en los argumentos de Platón y Aristóteles en favor de esclavitud, con énfasis en el papel de la mirada, el dominio sobre el cuerpo y la naturaleza de los cuerpos esclavizables. Finalmente, revisaremos en la obra de Frantz Fanon una crítica a la mirada europea y occidental que diseca el cuerpo negro al otorgarle un alma. -/- ENG: The concept of the soul in the philosophies of Plato and Aristotle, due to the posi-tion it occupies in their arguments concerning slavery, will be central to the ideo-logical structure on which the institution of slavery was sustained during colonial times. It will be important to refer, at first, to Erwin Rohde’s study of this concept, to examine the materiality of the breath and to propose a relationship between the gaze and the configuration of imaginaries. We will then examine the position of the soul in Plato’s and Aristotle’s arguments in favor of slavery, emphasizing the role of the gaze, the dominion over the body, and the nature of enslaved bodies. Finally, we will review in the work of Frantz Fanon a critique of the European and Western gaze that dissects the black body by granting it a soul. (shrink)

ABSTRACT Whether explicitly or implicitly, Kant's critical project weighs heavily upon Merleau-Ponty's Phenomenology of Perception. This article argues that we can understand Merleau-Ponty's text as a phenomenological rewriting of the Critique of Pure Reason from within the paradoxical structures of lived experience, effectively merging Kant's Transcendental Aesthetic and Transcendental Analytic. Although he was influenced by Husserl's and Heidegger's interpretations of Kant's first version of the Transcendental Deduction, Merleau-Ponty develops a unique position between Kant, Husserl, and Heidegger via an embodied and (...) lived synthesis that collapses Kant's distinction between sensibility and the understanding, and that makes sense of temporality and subjectivity as a paradoxical trajectory. (shrink)

Across various fields it is argued that the self in part consists of an autobiographical self-narrative and that the self-narrative has an impact on agential behavior. Similarly, within action theory, it is claimed that the intentional structure of coherent long-term action is divided into a hierarchy of distal, proximal, and motor intentions. However, the concrete mechanisms for how narratives and distal intentions are generated and impact action is rarely fleshed out concretely. We here demonstrate how narratives and distal intentions can (...) be generated within cognitive agents and how they can impact agential behavior over long time scales. We integrate narratives and distal intentions into the LIDA model,and demonstrate how they can guide agential action in a manner that is consistent with the Global Workspace Theory of consciousness. This paper serves both as an addition to the LIDA cognitive architecture and an elucidation of how narratives and distal intention emerge and play their role in cognition and action. (shrink)

In this chapter we first elucidate the subjective flow of time particularly as developed by Husserl. We next discuss time and timescales in predictive processing. We then consider how the phenomenological analysis of time can be naturalized within a predictive processing framework. In the final section, we develop an analysis of the temporal disturbances characteristic of depression using the resources of both phenomenology and predictive processing.

As the Arctic warms at an unprecedented rate, its ecosystems—once considered negligible sources of volatile organic compounds (VOCs)—are emerging as significant contributors to atmospheric chemistry and ecological dynamics.

The first case of COVID-19 in Iran was officially reported by the Iranian Government in February 19, 2020. In order to control and prevent the infection, the Government closed all the universities and requested the people to stay at home. Consequently, Tehran University of Medical Sciences (TUMS), like other universities, cancelled all the face-to-face classes in different Schools, and since the exact date for the resolution of this calamity could not be determined, TUMS decided to proceed the education flow through (...) the available Learning Management System (LMS). As one of the departments of the university, TUMS Department of Foreign Languages devised a plan and prepared itself for the new situation. This paper is a narrative account of the transition. Through reading this narration as a case of educational solution in the preset particular situation, language professors can adopt and implement efficient strategies and approaches in their educational settings. (shrink)

The aim of this chapter is therefore to critically analyse Kelsen's position on the relationship between law and coercion. Here I will show that the connection between law and coercion in Kelsen's legal theory goes deeper than the first definition of ‘law as a coercive order’ suggests: the connection has to do not only with the specific content of legal norms, but also with the existence of the legal order itself. In Section II, I will show that for Kelsen coercion (...) is an essential element of law as the criterion that allows to distinguish law qua normative and social order from other kinds of social and normative orders (such as religion and morality), i.e., coercion of a certain kind. In Sec-tion III I will further develop the argument and show that coercion is also the criterion that allows to distinguish legal norms from other norms (like moral norms), i.e., coercion as a specific object of norms which are hypothetical formulations with sanction as consequence. In Section IV I will show that, in Kelsen’s framework, coercion is also to be regarded as an essential element for the effectiveness of a legal order, thus for its very existence. I will further argue that in this view the most important effect of coercion is not the direct one – the effective application of sanctions or the effective exercise of force – but the indirect one – the psychological pressure that the mere existence of organised violence and sanctions exerts on the individual. Finally, in Section V I will offer a brief concluding remark. (shrink)

Background and Aim: Today universities admit International Students as well as national students. Tehran University of Medical Sciences has been also started admitting International Students in regards of its Internationalization aims. Student’s satisfaction is of high importance in order to gain the given goals. The purpose of this study was to evaluate the satisfaction of International students of TUMS. -/- Materials and Methods: This was a descriptive study. The target group was international students of TUMS, the participants were selected through (...) availability sampling. The research instrument was researcher-made questionnaire which the reliability calculated as 0.97 by Chronbach’s alpha. The data was analysied by Microsoft Excell version 2010. -/- Results: The overall satisfaction of the students was 70% (satisfied and completely satisfied) while the overall dissatisfaction was 10% (dissatisfied and completely dissatisfied). -/- Conclusion: Given satisfaction of more than half of the International students, TUMS has performed reasonably. Based on the results obtained in this research the university may pay attention to the fields reported as dissatisfied. (shrink)