Consumers often buy products not because of their attributes per se but rather because of the ultimate benefits that these attributes provide, in turn leading to the satisfaction of ultimate values. And Apple is a type of company which understand their customers & future aspects of innovation in a way that no other companies do. That’s the reason that apple is at No. 1 place in Top 50 Most innovative companies. This article endeavors to recognize the consumer perception towards the (...) Apple products and what is Apple’s ideology. In this article the researcher has listed down 12 variables which affect the consumer behavior most while purchasing Apple products. (shrink)

A wide variety of two-wheelers of all category light- weighted, medium – weighted and heavy weighted vehicles have been introduced in the market. The objective of the study is to know the preference and satisfaction of women consumers over two-wheelers and the various aspects, which determines the purchase or buying behavior and to know the expectations of women consumers over two-wheelers. The sample size of the study was conducted in Tiruchirappalli city with 75 respondents through Non-Probability Random Sampling Method. The (...) tools and techniques used were simple percentage, chi-square and ANOVA. (shrink)

The rapid evolution of phishing techniques necessitates more sophisticated detection and classification methods. In this paper, we propose a novel approach to phishing content classification using a Genetic Ranking Optimization Algorithm (GROA), combined with dynamic weighting, to improve the accuracy and ranking of phishing versus legitimate content. Our method leverages features such as URL structure, email content analysis, and user behavior patterns to enhance the detection system's decision-making process. The Genetic Ranking Optimization Algorithm (GROA) is used to rank phishing content (...) based on multiple features by optimizing the ranking system through iterative selection and weighting. Dynamic weighting further enhances the process by adjusting the weights of features based on their importance in real-time. This hybrid approach enables the model to learn from the data, improving classification over time. (shrink)

The study outlines the technical challenges encountered during migration, including data compatibility issues, schema conversion, and security compliance, as well as strategies to mitigate these obstacles. Testing and validation techniques are applied throughout the migration, highlighting essential checkpoints to confirm data accuracy and optimal performance in the Snowflake environment. Postmigration performance metrics are evaluated to illustrate improvements in query execution, scalability, and overall system efficiency compared to the legacy system. The results underscore the advantages of Snowflake’s architecture in handling high-volume, (...) concurrent queries without compromising speed or accuracy. (shrink)

Cloud storage's scalability, accessibility, and affordability have made it essential in the digital age. Data security and privacy remain a major issue due to the large volume of sensitive data kept on cloud services. Traditional encryption is safe but slows data recovery, especially for keyword searches. Secure, fine-grained access control and quick keyword searches over encrypted data are possible using attribute-based keyword search (ABKS). This study examines how ABKS might optimize search efficiency and data security in cloud storage systems. We (...) examine index compression, query processing improvement, and encryption optimization to decrease computational cost and preserve security. After a thorough investigation, the article shows how these methods may boost cloud storage system performance, security, and usability. Tests show that improved ABKS speeds up search searches and lowers storage costs, making it a viable cloud storage alternative. Exploring sophisticated machine learning algorithms for predictive search improvements and strengthening ABKS against emerging security vulnerabilities are future research priorities. (shrink)

Cloud computing has transformed data management and storage by providing unmatched scalability, flexibility, and cost-effectiveness. However, rising cloud storage use has raised data security and privacy issues. As sensitive data being outsourced to third-party cloud providers, security is crucial. Traditional encryption methods secure data but make data recovery difficult. Specifically, efficiently searching encrypted data without compromising security is difficult.

The predictive capacity of the model is evaluated using evaluation measures, such as accuracy, precision, recall, F1-score, and the area under the ROC curve (AUC-ROC). Our findings show that improved machine learning models perform better than conventional methods, offering trustworthy forecasts that can help medical practitioners with early diagnosis and individualized treatment planning. In order to achieve even higher predicted accuracy, the study's conclusion discusses the significance of its findings for clinical practice as well as future improvements that might be (...) made, like adding wearable device data in real-time or investigating deep learning techniques. (shrink)

The accuracy levels of VGG19 and 3D CNN are compared using the performance metrics. This comparison helps in identifying which model performs better in the task of facial reconstruction from distorted images. Visualizing the results in the form of a graph provides a clear and concise way to understand the comparative performance of the algorithms. The ultimate goal of this project is to develop a system that can accurately reconstruct distorted faces, which can be invaluable in identifying accident victims or (...) assisting in medical treatments. By providing a reliable method for facial reconstruction, this technology can potentially save lives and improve outcomes for individuals involved in accidents. (shrink)

This study explores the role of government policies, public-private partnerships, and emerging technologies in bridging the digital divide, ensuring inclusive and equitable access to quality education for all students. By analyzing case studies and statistical data, this research identifies key areas where the EdTech revolution can be leveraged to close gaps in the education system while fostering innovation in pedagogical practices. Finally, the paper presents recommendations for ensuring that the EdTech revolution contributes to systemic equity, rather than exacerbating existing disparities.

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)

Accelerated computing leverages specialized hardware and software techniques to optimize the performance of computationally intensive tasks, offering significant speed-ups in scientific, engineering, and data-driven fields. This paper presents a comprehensive study examining the role of accelerated computing in enhancing processing capabilities and reducing execution times in diverse applications. Using a custom-designed experimental framework, we evaluated different methodologies for parallelization, GPU acceleration, and CPU-GPU coordination. The aim was to assess how various factors, such as data size, computational complexity, and task concurrency, (...) impact processing efficiency. (shrink)

Furthermore, the paper delves into the role of hospital management and policy in easing the digital transition and fostering a more harmonious work-life balance. By analyzing technological tools and frameworks in telemedicine, the research identifies areas where improvements can be made, offering recommendations for enhancing doctors' digital efficiency while promoting better work-life harmony. This study contributes to understanding how technology can be harnessed to benefit healthcare professionals, particularly in managing the dual demands of professional duties and personal well-being.

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)

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)

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)

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)

While memory is conceptualized predominantly as an individual capacity in the cognitive and biological sciences, the social sciences have most commonly construed memory as a collective phenomenon. Collective memory has been put to diverse uses, ranging from accounts of nationalism in history and political science to views of ritualization and commemoration in anthropology and sociology. These appeals to collective memory share the idea that memory ‘‘goes beyond the individual’’ but often run together quite different claims in spelling out that idea. (...) This paper reviews a sampling of recent work on collective memory in the light of emerging externalist views within the cognitive sciences, and through some reflection on broader traditions of thought in the biological and social sciences that have appealed to the idea that groups have minds. The paper concludes with some thoughts about the relationship between these kinds of cognitive metaphors in the social sciences and our notion of agency. (shrink)

This paper attempts to do two things. First, it recounts the problem of intentionality, as it has typically been conceptualized, and argues that it needs to be reconceptualized in light of the radical form of externalism most commonly referred to as the extended mind thesis. Second, it provides an explicit, novel argument for that thesis, what I call the argument from meaning making, and offers some defense of that argument. This second task occupies the core of the paper, and in (...) completing it I distinguish _active _ _cognition_ from _cyborg fantasy arguments_ for externalism, and develop the analogy between the extended mind thesis in the cognitive sciences and developmental systems theory in developmental biology. The rethinking of the problem of intentionality on offer leads not so much to a solution as to a dissolution of that problem, as traditionally conceived. (shrink)

The computational argument for individualism, which moves from computationalism to individualism about the mind, is problematic, not because computationalism is false, but because computational psychology is, at least sometimes, wide. The paper provides an early, or perhaps predecessor, version of the thesis of extended cognition.

This paper is a critique of some ideas about narrow content owing to Horgan and Tienson and Brian Loar.

This paper examines a recent, influential argument for individualism in psychology defended by Jerry Fodor and others, what I call the argument from causal powers. I argue that this argument equivocates on the crucial notion of "causal powers", and that this equivocation constitutes a deep problem for arguments of this type. Relational and individualistic taxonomies are incompatible, and it does not seem in general to be possible to factor the former into the latter. The distinction between powers and properties plays (...) a central role in my argument. (shrink)

David Sloan Wilson has recently revived the idea of a group mind as an application of group selectionist thinking to cognition. Central to my discussion of this idea is the distinction between the claim that groups have a psychology and what I call the social manifestation thesis-a thesis about the psychology of individuals. Contemporary work on this topic has confused these two theses. My discussion also points to research questions and issues that Wilson's work raises, as well as their connection (...) to externalist conceptions of the mind familiar since the work of Putnam and Burge. (shrink)

(1) Content properties are nonrelational, that is, having a content property does not entail the existence of any contingent object not identical with the thinker or a part of the thinker.2 (2) We have noninferential knowledge of our conscious thoughts, that is, for any of our..

Earthbodies describes how our bodies are open circuits to a sensual magic and planetary care that when closed off leads to disastrous detours, such as illness, ...

This paper argues that the metarepresentational systems we posses are wide or extended, rather than individualistic. There are two basic ideas. The first is that metarepresentation inherits its width from the mental representation of its objects. The second is that mental processing often operates on internal and external symbols, and this suggests that cognitive systems extend beyond the heads that house them.

The social, behavioral, and a good chunk of the biological sciences concern the nature of individual agency, where our paradigm for an individual is a human being. Theories of economic behavior, of mental function and dysfunction, and of ontogenetic development, for example, are theories of how such individuals act, and of what internal and external factors are determinative of that action. Such theories construe individuals in distinctive ways.

Individualists claim that wide explanations in psychology are problematic. I argue that wide psychological explanations sometimes have greater explanatory power than individualistic explanations. The aspects of explanatory power I focus on are causal depth and theoretical appropriateness. Reflection on the depth and appropriateness of other wide explanations of behavior, such as evolutionary explanations, clarifies why wide psychological explanations sometimes have more causal depth and theoretical appropriateness than narrow psychological explanations. I also argue for the rejection of eliminative materialism.

This paper points to some problems for the position that D.M. Walsh calls "alternative individualism," and argues that in defending this view Walsh has omitted an important part of what separates individualists and externalists in psychology. Walsh's example of Hox gene complexes is discussed in detail to show why some sort of externalism about scientific taxonomy more generally is a more plausible view than any extant version of individualism.

Social externalism is the view that the contents of a person's propositional attitudes are logically determined at least in part by her linguistic community's standards for the use of her words. If social externalism is correct, its importance can hardly be overemphasized. The traditional Cartesian view of psychological states as essentially first personal and non-relational in character, which has shaped much theorizing about the nature of psychological explanation, would be shown to be deeply flawed. I argue in this paper that (...) social externalism faces insuperable difficulties. The first difficulty is that if syntax and semantics are independent, then social externalism is committed to the absurd consequence that many people have beliefs with formally inconsistent contents. I argue none of the possible responses to this objection are plausible. The second difficulty is that if syntax and semantics are independent, then social externalists are committed to a contradiction. After raising and defending these objections, I identify what I think is the underlying flaw in the social externalist position, a failure to pay attention to the structure of communication intentions, and briefly indicate how to neutralize the linguistic evidence social externalists advance in favor of their view. (shrink)

This paper develops a notion of manipulative gaslighting, which is designed to capture something not captured by epistemic gaslighting, namely the intent to undermine women by denying their testimony about harms done to them by men. Manipulative gaslighting, I propose, consists in getting someone to doubt her testimony by challenging its credibility using two tactics: “sidestepping” and “displacing”. I explain how manipulative gaslighting is distinct from reasonable disagreement, with which it is sometimes confused. I also argue for three further claims: (...) that manipulative gaslighting is a method of enacting misogyny, that it is often a collective phenomenon, and, as collective, qualifies as a mode of psychological oppression. (shrink)

Scientific hedges are communicative devices used to qualify and weaken scientific claims. Gregor Betz has argued—unconvincingly, we think—that hedging can rescue the value-free ideal for science. Nevertheless, Betz is onto something when he suggests there are political principles that recommend scientists hedge public-facing claims. In this article, we recast this suggestion using the notion of public justification. We formulate and reject a Rawlsian argument that locates the justification for hedging in its ability to forge consensus. On our alternative proposal, hedging (...) is often justified because it renders scientific claims as publicly accessible reasons. (shrink)

Environmental philosophy – broadly conceived as using philosophical tools to develop ideas related to environmental issues – is conducted and practised in highly diverse ways in different contexts and traditions in Asia. ‘Asian environmental philosophy’ can be understood to include Asian traditions of thought as well as grassroots perspectives on environmental issues in Asia. Environmental issues have sensitive political facets tied to who has the legitimacy to decide about how natural resources are used. Because of this, the works, practices, and (...) researchers in Asian environmental philosophy are exposed to being (mis)used by diverse stakeholders and actors to support political ends not related to environmental sustainability. Two processes are at play at the nexus of the construction of identities in relation to conceptualisations of nature: eco-orientalism and ecological nationalisms. This paper analyzes and exemplifies these dynamics through a conceptual framework that distinguishes ideological and socio-technical explanations of environmental degradation. Finally, to minimise the risks of political misuse, five pathways are presented to carefully help curate environmental, philosophical statements: contextualise, quantify uncertainty and ‘uniqueness’, downscale, confront claims with local realities and literature, and collaborate with researchers from other disciplines. Conjointly, these pathways aim at favouring intercultural collaboration while valuing diversity, thus supporting the development and exchanges in environmental philosophy in Asia and beyond. (shrink)

Financial literacy is becoming a pivotal skill in navigating the marketplaces within the predominant rising digital branches of trading domains; however, there remains a concerning gap in the purchasing behavior of adolescents, who are its primary users. With this in mind, the main objective of our research is to determine whether there is a relationship between a student's level of financial literacy and their online purchase decision-making. The researchers employed an explanatory mixed approach and purposive sampling to identify respondents from (...) Immaculate Conception College of Balayan, Inc. A 5-point Likert scale survey was utilized to collect data from 66 respondents, followed by semi-structured interviews with 10 selected participants. The results showed a moderately positive correlation between a student's financial literacy and online purchase decisions, as determined by the Pearson correlation coefficient. Thus, the thematic analysis revealed that respondents generally have good financial literacy, emphasizing factors like pricing, online reviews, and product ratings when making digital marketplace decisions. However, there are notable gaps in their understanding of basic financial concepts and their ability to apply them in real-life situations. To effectively enhance students’ financial literacy and online purchasing decisions, a holistic approach is necessary, including targeted interventions, practical applications, and continuous adaptation to evolving consumer behaviors. Educational institutions, policymakers, and stakeholders should work together to create comprehensive programs that provide students with the knowledge, skills, and attitudes needed to negotiate real-world financial situations and make sound judgments in the digital commerce ecosystem. By emphasizing practical learning, key financial concepts, and trustbuilding approaches, educators may empower students to become responsible consumers capable of managing their resources successfully and ethically. (shrink)

The United States Fish and Wildlife Service in Alaska, USA, conducted a species status assessment for a petition to list the Alexander Archipelago wolf (Canis lupus ligoni) under the Endangered Species Act in 2020-2022. This federal undertaking could not be adequately prepared without including the knowledge of Indigenous People who have a deep cultural connection with the subspecies. Our objective is to communicate the authoritative expertise and voice of the Indigenous People who partnered on the project by demonstrating how their (...) knowledge contributed to the species status assessment. The Indigenous knowledge applied in the assessment is the cultural and intellectual property of those who have shared it. We employed rapid appraisal research to expeditiously develop a preliminary and qualitative understanding of Indigenous People's cultural and ecological knowledge of Alexander Archipelago wolves. We used semi-directed interviewing and inductive coding from grounded theory for text analysis. Indigenous knowledge contributed to the agency's understanding of the Alexander Archipelago wolf in Southeast Alaska and helped the agency with their classification decision. Indigenous research partners explained the rich cultural significance and position of wolves in Tlingit society and described human–wolf relationships and ecological interactions. The agency used a single-species assessment approach based in species ecology and conservation biology, whereas the Indigenous wolf experts applied a multi-species, community ecology approach based in a sociocultural context of balance and respect. The Indigenous wolf experts successfully addressed knowledge gaps identified by the agency. The partners were challenged by a short regulatory timeframe that did not allow for comprehensive study of Indigenous knowledge and constrained review and feedback by Indigenous experts. The United States Fish and Wildlife Service learned that its assessment framework was not designed to account for an Indigenous worldview. To level the playing field, the agency and Indigenous experts should discuss how to co-develop an assessment framework that equitably applies both perspectives. (shrink)

Critical discussion of Jerry Fodor's Concepts: Where Cognitive Science Went Wrong (1998).

Academic excellence and intelligence are commonly lauded as commendable attributes synonymous with success. However, a disconcerting trend has surfaced within educational institutions, challenging the prevailing narrative of scholastic accomplishment—smart shaming. This research delves into the increasing concern of smart shaming within educational settings, particularly at Immaculate Conception College of Balayan, Inc., questioning the predominant emphasis on academic excellence and intelligence. A qualitative case study design, along with judgmental sampling, was employed to examine fifteen (15) student leaders who had experienced smart (...) shaming on campus. Thematic analysis revealed that sarcastic remarks including "edi wow," "Okay ikaw na matalino," "bidabida," and "sipsip" were a prevalent manifestation of smart shaming, adversely affecting emotional well-being, academic and leadership prowess, mental health, and self-perception. Coping mechanisms, predominantly centered around ignoring and focusing on goals, were identified. The findings underscore the imperative for educators to remain vigilant regarding instances of smart shaming in classrooms, promoting open communication to ensure student well-being. Additionally, guidance counselors play a pivotal role in aiding students in effectively navigating the repercussions of smart shaming. This study advocates for proactive programs and interventions to address and alleviate the deleterious effects of smart shaming on students. (shrink)

This is a critical response to "Defending Eugenics", published in MBR in 2018.

This article outlines a program of ethnoontology that brings together empirical research in the ethnosciences with ontological debates in philosophy. First, we survey empirical evidence from heterogeneous cultural contexts and disciplines. Second, we propose a model of cross‐cultural relations between ontologies beyond a simple divide between universalist and relativist models. Third, we argue for an integrative model of ontology building that synthesizes insights from different fields such as biological taxonomy, cognitive science, cultural anthropology, and political ecology. We conclude by arguing (...) that a program of ethnoontology provides philosophers both with insights about traditional issues such as debates about natural kinds and with novel strategies for connecting philosophy with pressing global issues such as the conservation of local environments and the self‐determination of Indigenous communities. (shrink)

Conscious states—state that there is something it is like to be in—seem both rich or full of detail and ineffable or hard to fully describe or recall. The problem of ineffability, in particular, is a longstanding issue in philosophy that partly motivates the explanatory gap: the belief that consciousness cannot be reduced to underlying physical processes. Here, we provide an information theoretic dynamical systems perspective on the richness and ineffability of consciousness. In our framework, the richness of conscious experience corresponds (...) to the amount of information in a conscious state and ineffability corresponds to the amount of information lost at different stages of processing. We describe how attractor dynamics in working memory would induce impoverished recollections of our original experiences, how the discrete symbolic nature of language is insufficient for describing the rich and high-dimensional structure of experiences, and how similarity in the cognitive function of two individuals relates to improved communicability of their experiences to each other. While our model may not settle all questions relating to the explanatory gap, it makes progress toward a fully physicalist explanation of the richness and ineffability of conscious experience—two important aspects that seem to be part of what makes qualitative character so puzzling. (shrink)

Who is recognised as a philosopher and what counts as philosophy influence both the content of a philosophical education and academic philosophy’s continuing demographic skew. The “philosophical who” and the “philosophical what” themselves are a partial function of matters that have been passed over in collective silence, even if that now feels to some like a silence belonging to the distant past. This paper discusses some philosophical silences regarding race, gender, and disability in the context of reflection on philosophical education (...) and on philosophical practice in the public sphere. It focuses on Charles Mills’ writings on race, Susan Babbitt’s on race and gender, and on more collaboratively-generated work on eugenics and disability. (shrink)

We articulate a holistic understanding of hope, going beyond the common conceptualization of hope in terms of positive affect and cognition by considering what hope means for the underprivileged. In the recognition that hope is always situated in a particular place, we explore the perspective of the privileged and the underprivileged, clarifying how spatial contexts shape their goals for the future and their agency toward attaining these goals. Where some people experience precarity due to their disability, race, gender, sexuality, and (...) social class, others enjoy enhanced agency due to their privilege. In our analysis, this loss of agency does not mean the underprivileged are hopeless; instead, it suggests that hope can incorporate negative affect and cognition. In our view, a spatial understanding acknowledges the power of hope in discouraging situations, and it points to practical measures through which hope can be cultivated by marginalized communities. (shrink)

Abstract: Artificial Intelligence (AI) has rapidly evolved, offering transformative capabilities for business decision-making. This paper explores how AI can be leveraged to enhance strategic decision-making in business contexts. It examines the integration of AI-driven analytics, predictive modeling, and automation to improve decision accuracy and operational efficiency. By analyzing current applications and case studies, the paper highlights the opportunities AI presents, including enhanced data insights, risk management, and personalized customer experiences. Additionally, it addresses the challenges businesses face in adopting AI, such (...) as data privacy concerns, integration issues, and the need for skilled personnel. The paper concludes with recommendations for effectively implementing AI solutions to maximize their benefits while navigating potential pitfalls. (shrink)

In this chapter, we will summarize recent empirical results highlighting how different groups of people solve pure coordination games. Such games are traditionally studied in behavioural economics, where two people need to coordinate without communicating with each other. Our results suggest that coordination choices vary across groups of people, and that people can adapt flexibly to these differences in order to coordinate between groups. We propose that pure coordination games are a useful empirical platform for studying aspects of mindshaping. Drawing (...) on existing psychological literature on alignment during interactions, we suggest that experience of successful interaction leads people to develop aligned intuitions about what is relevant and appropriate that support coordination when interaction and communication is not possible. Consistent with arguments made in the literature on mindshaping we believe that such alignment is more important for coordination than mindreading inferences about mental states, and indeed that mindreading is instead a form of coordination behaviour that is dependent upon intuitive alignment. (shrink)

Driven by technological innovations, newborn screening (NBS) panels have been expanded and the development of genomic NBS pilot programs is rapidly progressing. Decisions on disease selection for NBS are still based on the Wilson and Jungner (WJ) criteria published in 1968. Despite this uniform reference, interpretation of the WJ criteria and actual disease selection for NBS programs are highly variable. A systematic literature search [PubMED search “Wilson” AND “Jungner”; last search 16.07.22] was performed to evaluate the applicability of the WJ (...) criteria for current and future NBS programs and the need for adaptation. By at least two reviewers, 105 publications (systematic literature search, N = 77; manual search, N = 28) were screened for relevant content and, finally, 38 publications were evaluated. Limited by the study design of qualitative text analysis, no statistical evaluation was performed, but a structured collection of reported aspects of criticism and proposed improvements was instead collated. This revealed a set of general limitations of the WJ criteria, such as imprecise terminology, lack of measurability and objectivity, missing pediatric focus, and absent guidance on program management. Furthermore, it unraveled specific aspects of criticism on clinical, diagnostic, therapeutic, and economical aspects. A major obstacle was found to be the incompletely understood natural history and phenotypic diversity of rare diseases prior to NBS implementation, resulting in uncertainty about case definition, risk stratification, and indications for treatment. This gap could be closed through the systematic collection and evaluation of real-world evidence on the quality, safety, and (cost-)effectiveness of NBS, as well as the long-term benefits experienced by screened individuals. An integrated NBS public health program that is designed to continuously learn would fulfil these requirements, and a multi-dimensional framework for future NBS programs integrating medical, ethical, legal, and societal perspectives is overdue. (shrink)

Enterprise Risk Management involves the process of identification, evaluation, treatment, and communication regarding risks throughout the enterprise. To support the tasks associated with this process, several frameworks and modeling languages have been proposed, such as the Risk and Security Overlay (RSO) of ArchiMate. An ontological investigation of this artifact would reveal its adequacy, capabilities, and limitations w.r.t. the domain of risk and security. Based on that, a language redesign can be proposed as a refinement. Such analysis and redesign have been (...) executed for the risk elements of the RSO grounded in the Common Ontology of Value and Risk. The next step along this line of research is to address the following research problems: What would be the outcome of an ontological analysis of security-related elements of the RSO? That is, can we identify other semantic deficiencies in the RSO through an ontological analysis? Once such an analysis is provided, can we redesign the security elements of the RSO accordingly, in order to produce an improved artifact? Here, with the aid of the Reference Ontology for Security Engineering (ROSE) and the ontological theory of prevention behind it, we address the remaining gap by proceeding with an ontological analysis of the security-related constructs of the RSO. The outcome of this assessment is an ontology-based redesign of the ArchiMate language regarding security modeling. In a nutshell, we report the following contributions: (1) an ontological analysis of the RSO that identifies six limitations concerning security modeling; (2) because of the key role of the notion of prevention in security modeling, the introduction of the ontological theory of prevention in ArchiMate; (3) a well-founded redesign of security elements of ArchiMate; and (4) ontology-based security modeling patterns that are logical consequences of our proposal of redesign due to its underlying ontology of security. As a form of evaluation, we show that our proposal can describe risk treatment options, according to ISO 31000. Finally, besides presenting multiple examples, we proceed with a real-world illustrative application taken from the cybersecurity domain. (shrink)

This study used a partial least squares structural equation modelling (PLS-SEM) to estimate curriculum management's direct and indirect effects on university graduate programmes' viability. The study also examined the role of institutional effectiveness in mediating the nexus between the predictor and response variables. This is a correlational study with a factorial research design. The study's participants comprised 149 higher education administrators (23 Faculty Deans and 126 HODs) from two public universities in Nigeria. A structured questionnaire designed by the researchers was (...) used for data collection. The questionnaire was duly validated with an acceptable scale and item content validity indices. The dimensionality of the instrument was determined using exploratory factor analysis (EFA). Convergent validity was based on Average Variance Extracted (AVE), whereas discriminant validity was based on Fornell-Lacker criteria and the Hetero-Trait Mono-Trait (HTMT) ratio. Acceptable composite reliability estimates of internal consistency were reached for the three sub-scales. Following ethical practices, the questionnaire was physically administered to respondents and retrieved afterwards. Smart PLS (version 3.2.9) and SPSS (version 26.0) programs were used for all the statistical analyses. This study uncovered significant direct and indirect effects of curriculum management on the viability of graduate programmes. Institutional effectiveness significantly impacted graduate programmes’ viability while mediating the nexus between curriculum management and graduate programmes’ viability. Curriculum management and institutional effectiveness jointly explained a significant proportion of graduate programmes’ viability variance. The result of this study proved that graduate programmes’ viability depends, to a great extent, on how much curriculum is managed and how effective institutions are with their services. The result of this study can enable institutions seeking to run viable graduate programmes to re-evaluate their curriculum management practices and the effectiveness of their services. (shrink)

Previous theories of early vision have assumed that visual search is based on simple two-dimensional aspects of an image, such as the orientation of edges and lines. It is shown here that search can also be based on three-dimensional orientation of objects in the corresponding scene, provided that these objects are simple convex blocks. Direct comparison shows that image-based and scene-based orientation are similar in their ability to facilitate search. These findings support the hypothesis that scene-based properties are represented at (...) preattentive levels in early vision. (shrink)

Sexual lust – understood as a feeling of sexual attraction towards another – has traditionally been viewed as a sort of desire or at least as an appetite akin to hunger. I argue here that this view is, at best, significantly incomplete. Further insights can be gained into certain occurrences of lust by noticing how strongly they resemble occurrences of “attitudinal” (“object-directed”) emotion. At least in humans, the analogy between the object-directed appetites and attitudinal emotions goes well beyond their psychological (...) structure to include similar ways in which their occurrence can be introspectively recognized, resulting in similar extensions of their functionality and meaningfulness to the subject. I conclude that although further research is needed, given the strength of the analogy, the ability of lust to satisfy some general requirements for being an emotion, and perhaps certain neurological findings, lust may somewhat uniquely straddle the line between appetite and emotion. (shrink)