The U.S. Supreme Court regards parental rights as fundamental. Such a status should subject any legal procedure that directly and substantively interferes with the exercise of parental rights to strict scrutiny. On the contrary, though, despite their status as fundamental constitutional rights, parental rights are routinely suspended or revoked as a result of procedures that fail to meet even minimal standards of procedural and substantive due process. This routine and cavalier deprivation of parental rights takes place in the context (...) of divorce where, during the pendency of litigation, one parent is routinely deprived of significant parental rights without any demonstration that a state interest exists—much less that there is a compelling state interest that cannot be achieved in any less restrictive way. In marked contrast to our current practice, treating parental rights as fundamental rights requires a presumption of joint legal and physical custody upon divorce and during the pendency of divorce litigation. The presumption may be overcome, but only by clear and convincing evidence that such an arrangement is harmful to the children. (shrink)

This paper demonstrates that the current policy of a state’s assignment of race to an infant at birth in the United States, when operationalized by a state-backed academic institution or actor, constitutes a Nazi-era doctrine of Sippenhaft. When any state in U.S. government assigns a predefined state-race-category (SRC) to all infants, children, or adult human beings after they are born or arrive to their jurisdiction, and any state or accredited academic institution and/or academic bigot actor constructs, operationalizes, and instrumentalizes (publishes) (...) any content with state-backed authoritative and permanent pejorative-academic-racial-slur such as SRC-supremist, SRC-oppressor, or SRC-racist et al without any possibility of due process in the human being’s lifetime. The Constitutional curiosity is that both the race classification and the state-conviction of racist collapses individual due process thus creating a structural doctrine of illegal Sippenhaft-adjacent state-authored group social defect or state conviction with no legal due process. Thus in direct violation of the Fifth and Fourteenth Amendments this creates unlimited liability for the state, from the educational institution and state Sippenhaft-adjacent-education academics/scientists. The 1st Amendment protections of the academic or institution is negated, as the academic’s action is not that of a private citizen, but an agent of the state-educational, or state/federal non-profit educational system. One sociology paper is analyzed resulting posterior probability P (H — D) ¿ 0.95 suggests beyond reasonable legal-scientific doubt that the labeling system of Chen et al assigns negative judgment to SRC-431 relative to others with state-backed authority, otherwise known as prime-face racial discrimination of a state-employed academic actor under the color of education. As additional proof, an asymmetry Test via Term Substitution for one historical religious breed caste of the author's ancestry was relaced instead of the assumption that SRC-431 Race code was ”racist by default” and interestingly the first author's race was the racist. (shrink)

This paper examines the concept of manifestation process in Kashmir Shaivism from Shiva tattva to Prithvi tattva and their transcendental and immanent predicates (Prakrti and Purusa).This paper also shows that the ultimate reality, Paramshiva, manifests itself into various forms which likely represent the theory of causation. This research paper also provides answer to two questions; First, how ultimate reality with its thirty-six principles or elements manifest in various forms and what types of forms ‘Descent’ attains from the ‘universal self’? (...) Second, how manifestation process takes place from the ‘cosmic self’ (universal consciousness) to a ‘limited self’ (Jiva)? Since, this paper is based on philosophical exploration of manifestation process and contains interpretation and argumentation of Pratyabhijna philosophy only; it excludes manifestation due to Yogas (Upayas) and Karmas. Moreover, it explains the Trika form of reality (Shiva/God, Shakti/World, and Nara/Man) and also the identity between ‘ascent’ and ‘descent’. Manifestation further investigates the union of Shiva and Shakti with Maya and displays its character (Prakashvimarshmaya). This work further tries to describe the contribution of Abhinavagupta in the concept of manifestation. (shrink)

The project of “public reason” claims to offer an epistemological resolution to the civic dilemma created by the clash of incompatible options for the rational exercise of freedom adopted by citizens in a diverse community. The present Article proposes, via consideration of a contrast between two classical accounts of dialectical reasoning, that the employment of “public reason,” in substantive due process analysis, is unworkable in theory and contrary to more reflective Supreme Court precedent. Although logical commonalities might be available (...) to pick out from the multitude of particularized accounts of what constitutes “civic order,” no “public reason” so derived could adequately capture - and thus be able to secure in a practical sense - any single determinate civic order, much less one that would be consistent with all citizens' conceptions of public order. Part I of this Article raises a number of issues for consideration relating to the epistemology of law and focuses especially on the concept of public reason and its critique. Part II addresses alternative approaches to legal reasoning suggested by classical accounts of practical reasoning and virtue theory and considers the operation of such legal analysis outside the area of substantive due process; Part III analyzes post-Lawrence case law confirming the dilemma created by the Supreme Court's ambiguous approaches to substantive due process and concludes that only one interpretation - that articulated fully in Washington v. Glucksberg and given lip service in Lawrence v. Texas - provides a method for resolving novel substantive due process challenges that is philosophically sound as well as historically coherent. Rather than perpetuating a fiction that denies the propriety of lawmaking unless based on principles that all citizens can rationally agree upon, an appropriate model of substantive due process analysis recognizes that law must inevitably be based upon principles that cannot be agreed upon by all citizens in virtue of rationality alone. -/- Abstract Footnotes (291) Beta -/- Revise My Submission -/- -/- One-Click Download | Share | Email | Add to Briefcase -/- Facebook | Twitter | Digg | Del.icio.us | CiteULike | Permalink Using the URL or DOI link below will ensure access to this page indefinitely -/- Based on your IP address, your paper is being delivered by: New York, USA Processing request. [Processing request.] Illinois, USA Processing request. [Processing request.] Brussels, Belgium Processing request. [Processing request.] Seoul, Korea Processing request. [Processing request.] California, USA Processing request. [Processing request.] -/- If you have any problems downloading this paper, please click on another Download Location above, or view our FAQ File name: SSRN-id1004757. ; Size: 424K -/- Sample Cover You will receive a black and white printed and perfect bound version of this document in 8 1/2 x 11 inch format, with glossy color front and back covers. Currently shipping to the US addresses only. Your order will be shipped within three business days. Quantity: Total Price = $0.50 plus shipping (U.S. Only) -/- If you have any problems with this purchase, please email [email protected] or call 1-585-442-8170. Reason's Freedom and the Dialectic of Ordered Liberty -/- Edward C. Lyons University of Notre Dame Law School -/- Cleveland State Law Review, Vol. 55, p. 157, 2007 -/- Abstract: The project of "public reason" claims to offer an epistemological resolution to the civic dilemma created by the clash of incompatible options for the rational exercise of freedom adopted by citizens in a diverse community. The present Article proposes, via consideration of a contrast between two classical accounts of dialectical reasoning, that the employment of "public reason," in substantive due process analysis, is unworkable in theory and contrary to more reflective Supreme Court precedent. Although logical commonalities might be available to pick out from the multitude of particularized accounts of what constitutes "civic order," no "public reason" so derived could adequately capture - and thus be able to secure in a practical sense - any single determinate civic order, much less one that would be consistent with all citizens' conceptions of public order. -/- Part I of this Article raises a number of issues for consideration relating to the epistemology of law and focuses especially on the concept of public reason and its critique. Part II addresses alternative approaches to legal reasoning suggested by classical accounts of practical reasoning and virtue theory and considers the operation of such legal analysis outside the area of substantive due process; Part III analyzes post-Lawrence case law confirming the dilemma created by the Supreme Court's ambiguous approaches to substantive due process and concludes that only one interpretation - that articulated fully in Washington v. Glucksberg and given lip service in Lawrence v. Texas - provides a method for resolving novel substantive due process challenges that is philosophically sound as well as historically coherent. -/- Rather than perpetuating a fiction that denies the propriety of lawmaking unless based on principles that all citizens can rationally agree upon, an appropriate model of substantive due process analysis recognizes that law must inevitably be based upon principles that cannot be agreed upon by all citizens in virtue of rationality alone. -/- Keywords: substantive due process, practical reason, public reason, Rawls, Casey, Lawrence, Glucksberg, Plato, Aristotle, Kant, Hegel, dialectic, autonomy, freedom -/- . (shrink)

The comprehension of anaphoric relations may be guided not only by discourse, but also syntactic information. In the literature on online processing, however, the focus has been on audible pronouns and descriptions whose reference is resolved mainly on the former. This paper examines one relation that both lacks overt exponence, and relies almost exclusively on syntax for its resolution: adjunct control, or the dependency between the null subject of a non-finite adjunct and its antecedent in sentences such as Mickey talked (...) to Minnie before ___ eating. Using visual world eyetracking, we compare the time course of interpreting this null subject and overt pronouns (Mickey talked to Minnie before he ate). We show that when control structures are highly frequent, listeners are just as quick to resolve reference in either case. When control structures are less frequent, reference resolution based on structural information still occurs upon hearing the non-finite verb, but more slowly, especially when unaided by structural and referential predictions. This may be due to increased difficulty in recognizing that a referential dependency is necessary. These results indicate that in at least some contexts, referential expressions whose resolution depends on very different sources of information can be resolved approximately equally rapidly, and that the speed of interpretation is largely independent of whether or not the dependency is cued by an overt referring expression. (shrink)

Substantialism, which is an extremely common paradigm in Western philosophy, has dominated the sciences over time. Arguing that the authentic structure of existence is fixed and unchangeable; over time, with the development of modern physics, this understanding, which was easily adopted due to the precision of mechanical and mathematical explanations and the ease of categorization, created a school of biology that tried to develop through quantitative propositions; thus, living things were considered static entities that could be understood through reverse engineering. (...) Findings regarding evolution, which has continued uninterrupted for millions of years, have led to the gradual abandonment of essentialism. In addition, when many new data were analyzed, such as the transition from genetics to epigenetics and the mutual interaction in nature and niche creation, it was realized that biology in particular and all natural sciences in general needed a new metaphysical approach, thus process philosophy came to the fore. In process philosophy and metaphysics, it is accepted that every structure in nature consists of processual structures, not substances. The living world is fundamentally dynamic, and the existence of things always depends on the existence of processes, the basic assumption of biology is stability, not change; more precisely, it is argued that it is a stability achieved through constant change. By presenting a methodology, metaphysics and perspective from the process perspective of John Dupré, one of today's most important philosophers of biology, it is aimed to draw attention to the flowing of existence and processes of nature, expressed by Heraclitus as panta rhei (everything flows). (shrink)

This study examines the relationship between sustainability and employee perceptions of Human Capital Management(HCM) practices in Cebu City's Business Process Outsourcing (BPO) industry. The participation of 370 different BPOcompanies at Cebu I.T. Park indicates their dedication to HCM and highlights areas that require improvement,particularly in labor relations and HRIS deployment. Employee evaluations are influenced by demographic factorssuch as age, gender, and educational attainment. Suggestions for improvement include implementing employeedevelopment plans, streamlining the HRIS, strengthening due process, integrating sustainability into (...) HCM practices,and personalizing strategies based on demographics. To foster adaptable workplaces and keep pace with the changingBPO landscape, it is strongly advised to employ continuous monitoring and feedback mechanisms. (shrink)

The paper argues against a widely held synchronic view of emotional rationality. I begin by considering recent philosophical literature on various backward‐looking emotions, such as regret, grief, resentment, and anger. I articulate the general problem these accounts grapple with: a certain diminution in backward‐looking emotions seems fitting while the reasons for these emotions seem to persist. The problem, I argue, rests on the assumption that if the facts that give reason for an emotion remain unchanged, the emotion remains fitting. However, (...) I argue there are rationally self‐consuming attitudes: affective attitudes that become less fitting the longer they endure while the facts that give reason for them persist. A widely held synchronic view of fitting affective attitudes denies that fittingness at a time depends on the agent's attitudes at different times and therefore denies that the fittingness of an affective attitude can depend on its duration. Once we reject the synchronic view, we may see that affective attitudes are often fitting due to the fitting processes of which they are part. These fitting processes explain the fitting diminution of backward‐looking emotions as well as other diachronic aspects of the fittingness of emotions. -/- . (shrink)

The multifactorial development of the global maritime trade market determines both the complexity of managing individual processes and the need for constant clarification of the factors and directions of changes in the basic state. This, in turn, determines the risks and complexity of adopting and implementing relevant investment and management decisions. It should be noted that the sea trade market actually functions outside of national legal aspects. At the same time, it is the national capital assets that reflect the technical (...) and economic level of vessels of a certain nationality that form entrepreneurial and macroeconomic efficiency. In this way, the legal conditions for the emergence of multi-level integration processes are formed. At the same time, a different principle of interaction should be distinguished. The nature of participation in the distribution of cargo flows between companies and routes should be considered as a special form of integration processes. This is due to the requirement of the unconditional provision of global needs, on the one hand, and, on the other hand, the differentiation of adequate enterprise participation in the availability segments according to different characteristics. The actual situation of the maritime trade market in the system of the international division of labour determines the priorities of innovative strategies that guarantee a certain balanced development. The development of innovative strategies in the maritime trade market requires an understanding of the specifics of the industry, including the need for investments in sustainable development and decarbonisation. The increasing role of maritime transport enterprises in the international division of labor requires the optimization of the condition of the national merchant fleet and ports to ensure market relations. However, this optimization should not be pursued at the expense of other national priorities or in contradiction with international principles. Therefore, effective positioning of maritime transport enterprises requires taking into account transformational factors and balancing the technical and economic aspects of production with cost-effectiveness criteria. By adopting a thorough approach to managing the balance of individual maritime transport enterprises, it is possible to ensure a certain period of adequacy in relation to the external situation, thus minimizing risks and maximizing efficiency. (shrink)

Neuralink could distribute artificial superintelligence to humans, thus allowing the homosapiens to synchronize the hemispheres of their brains, thereby transcending space-time, and potentially time traveling. While backwards time travel cannot change the past, due to paradoxes, the time traveler would probably share a soul with the alternate timeline self, thus providing closure for regrets, errors, injustice, etc. Plus, if one time travels with AI superintelligence, the time traveler may mend errors with greater ease. -/- Although other potential time travel methods (...) are displayed in the reference section, only the Gateway Process will be observed in this essay. The Gateway Process may allow for backwards time travel, under the rules that time travel cannot change the past, yet by attempting to change the past, new dimensions will be created, thus growing the universe. To determine if the Gateway Process allows for backwards time travel, researchers can use computer brain interface to examine the inside of a subject’s brain and mind. Plus, researchers can also check if the universe has grown after the subject has attempted to alter a past event, theoretically only creating another dimension. Soon technology may detect the exact expansion of the universe. Perhaps scientists can use space tunnels to investigate the possible creation of new dimensions from the Gateway Process backwards time traveling, attempting to alter past events. EXPERIMENT STEPS: 1)Automate the Gateway Process with Neuralink to ease suspected backwards time travel. 2)Connect the subject’s brain and mind to computer brain interface, or more specifically, magnetic resonance imaging, so the suspected time travel is recorded. 3)Build a space tunnel device to determine if the subject is creating new alternate dimensions with the suspected backwards time travel. 4)Stop, review and try again. Space tunnels may further corroborate if more dimensions have been created with the Gateway Process. Since hemisphere synchronization transcends the time-space dimension, effective enough Neuralink devices could allow someone to synchronize brain hemispheres and time travel to the past. Neuralink technology may both allow a deeper meditative state, thus backwards time travel, and computer monitoring of the backwards time travel and alternate dimension creation /universe expansion. At least presumably through scientific studies, each individual has alternate selves throughout alternate timelines thus, each individual(all alternate selves) become one in the afterlife. So backwards time traveling to correct a mistake, injustice, or error, thus creating alternate timelines, out of the past, would not change the original timeline but, would add a deeper satisfaction for the time traveler by sharing a soul with the alternative timeline self. While correcting the error, injustice, or mistake, the time traveler and alternative timeline self may share an individual consciousness. More concretely, quantum entanglement may illustrate how an individual’s selves, across different alternate timelines, share a deeper fundamental self, like a soul. I hereby invite experts in AI, quantum mechanics, and neuroscience to collaborate in adding technical rigor to this preprint. (shrink)

Alternative Solutions to a Failed Democratic System Due to Ignorant Voters and Black Propaganda Politics -/- Introduction -/- Democracy is often considered the best form of government because it allows people to choose their leaders and influence policies. However, democracy is only as strong as the knowledge and wisdom of its citizens. When voters are ignorant and easily manipulated by black propaganda, democracy fails to serve its true purpose. Corrupt politicians take advantage of misinformation, and elections become a contest of (...) deceit rather than competence. In such cases, it becomes necessary to explore alternative governance systems that align with the universal law of balance in nature, ensuring societal stability and progress. This essay explores five potential solutions: meritocratic democracy, hybrid governance, decentralized governance with AI oversight, temporary educational dictatorship, and whole-process democracy with reforms. -/- 1. Meritocratic Democracy: A Government of the Competent -/- One of the main weaknesses of democracy is that it allows uninformed individuals to vote, often leading to the election of incompetent or corrupt leaders. Meritocratic democracy solves this by introducing a system where voters and candidates must meet certain educational or competency requirements. -/- In this system: -/- Voters must pass a basic competency test on political, economic, and social issues before they can vote. -/- Candidates must demonstrate expertise in governance, ethics, and leadership before being allowed to run for office. -/- Decision-making is guided by knowledge and logic, rather than emotional manipulation or populism. -/- By ensuring that only informed citizens and competent leaders participate in the electoral process, a meritocratic democracy prevents the spread of ignorance and manipulation, making governance more stable and effective. -/- 2. Hybrid Governance Model: Balancing Democracy and Technocracy -/- A pure democratic system, when controlled by an uninformed majority, can lead to poor decision-making. A hybrid governance model combines democratic participation with expert-driven decision-making. -/- This system includes: -/- Direct democracy for issues that require public participation, ensuring people still have a voice. -/- Technocratic leadership for areas that require expertise, such as economic planning, environmental policies, and legal reforms. -/- AI-assisted decision-making, where policies are analyzed based on logic, data, and the universal law of balance in nature. -/- By integrating democracy with technocracy, this model ensures that governance is based on both public engagement and expert knowledge, reducing the influence of ignorance and propaganda. -/- 3. Decentralized Governance with AI Oversight -/- Corruption and manipulation thrive in centralized political systems where power is concentrated in a few individuals. A decentralized governance model distributes power across local communities while maintaining oversight through artificial general intelligence (AGI) programmed with the universal formula to ensure balance and ethical governance. -/- This system includes: -/- Local decision-making councils that handle community affairs, reducing dependence on central authorities. -/- AI oversight to prevent misinformation, corruption, and propaganda in governance. -/- Policy-making based on natural balance, ensuring that human actions align with long-term sustainability and fairness. -/- By decentralizing power and using AI to monitor governance, this system prevents political elites from manipulating the public while ensuring that all decisions follow rational and ethical principles. -/- 4. Temporary Educational Dictatorship: A Path to Enlightened Democracy -/- If a democratic system is completely destroyed by ignorance and propaganda, a temporary educational dictatorship may be necessary to restore order. This approach involves: -/- A temporary leadership regime that enforces strict educational reforms before returning power to a well-informed electorate. -/- A governance structure that prioritizes truth, logic, and natural laws in policymaking. -/- A mandatory educational system focusing on critical thinking, ethics, and scientific reasoning to eliminate ignorance from the voting population. -/- This dictatorship would not be based on oppression but on restoring the intellectual foundation necessary for democracy to function properly. Once society reaches a stable level of awareness, democratic processes can be reinstated. -/- 5. Whole-Process People’s Democracy with Reforms -/- China’s whole-process people’s democracy is a system that allows both public participation and centralized decision-making. However, for it to be truly effective, it must integrate the universal law of balance in nature and eliminate ideological biases. -/- To reform whole-process democracy: -/- Education and critical thinking must be central to governance, ensuring the population is not easily misled. -/- Leaders must be selected based on knowledge and competence, not political loyalty. -/- Policies must align with natural balance, ensuring long-term societal stability. -/- By modifying this system with scientific and ethical principles, it can serve as a stable alternative to failing democracies. -/- Conclusion -/- Democracy is valuable, but when ignorant voters and black propaganda politics take control, it leads to instability and poor governance. To correct this failure, alternative systems must be considered. Meritocratic democracy ensures only informed citizens and competent leaders participate in elections. Hybrid governance balances democratic participation with expert decision-making. Decentralized governance with AI oversight prevents corruption and misinformation. A temporary educational dictatorship restores knowledge before returning to democracy. Whole-process democracy, when modified with the universal law of balance, can also serve as a viable alternative. -/- The best solution depends on the specific problems of a country, but the core principle remains the same: governance must follow the universal law of balance in nature, ensuring stability, truth, and progress. Only through such reforms can society escape the cycle of ignorance and manipulation, creating a future where human decisions align with natural laws and rational thought. -/- . (shrink)

Cognitive penetration is the assumption that non-sensory factors influence sensory perception at the core level of sensory processing, thus generating or modifying the contents of perception. However, the experimental instances of cognitive penetration can be argued to be instances of experimental confounding that occur due to the operationalization of perception to be a magnitude estimation activity rather than as a category identification task. The magnitudinal stimuli can confound the experiments as they tend to generate perceptual fuzziness and thus lead to (...) non-veridical overestimations as well as underestimations of those stimuli. And, these non-veridical estimations or approximations fail to be distinguishable whether they are (sensory) perceptual errors or (non-sensory) response biases per se. Moreover, the typical cognitive-penetration-like effects will not be observed if the perception is operationalized as a category identification activity, as the categorical stimuli are not fuzzy and do not lead to response biases. Thus, the purported instances of cognitive penetration can be argued to be mere instances of experimental confounding, and thus, cognitive penetration is not a valid psychological phenomenon. (shrink)

Numerical identity is the non-relational sameness of an object to itself. It is concerned with understanding how entities undergo change and maintain their identity. In substance metaphysics, an entity is considered a substance with an essence and such an essence is the source of its power. However, such a framework fails to explain the sense in which an entity is still the entity it was, amidst changes. Those who claim that essence is unaffected by existence are faced with challenge of (...) exploring the epistemic access to such an essence, which is questionable at best. Process metaphysics is a strong candidate for a theory that can ontologically explain regularity and change without appeal to essence. Process and its interactions is the main category. Every process is an emergent organization of constitutive interactions and is individuated on the basis of its interactive powers, that is, the ways in which it interacts with the world around it. Interactions are situated adaptation to changes. In this way, changes are crucial within process metaphysics and are included in the starting point of its investigation. What seems to the naked eyes as one-ness/singularity is a complex process where an organization of interactions is emerging from moment to moment by continually adapting to the changes around and within it. The question of numerical identity over time becomes valid only within substance metaphysics which has no space to accommodate change, due to its allegiance to essence. (shrink)

This Article falls into three general parts. The first part starts with an important question: is the insanity defense constitutionally required? The United States Supreme Court will finally try to answer this question next term in the case of Kahler v. Kansas. -/- I say “finally” because the Court refused to answer this question in 2012 when it denied certiorari to an appeal brought by John Joseph Delling, a severely mentally ill defendant who was sentenced to life in prison three (...) years earlier for two murders. Delling never had the opportunity to plead the insanity defense because his home state, Idaho, had abolished it in 1982. -/- By depriving Delling of the right to plead insanity, Idaho violated Delling’s Fourteenth Amendment right to due process and his Eighth Amendment right against “cruel and unusual” punishment. Naturally, the same is true for many other mentally ill and disabled defendants who have been prosecuted in Idaho and in the other three states that have abolished the insanity defense: Kansas, Montana, and Utah. -/- The second general part of this Article notes an insight that I stumbled upon in the course of researching the first part: the insanity defense and the mistake of law defense both require ignorance of the law, what I refer to as “normative ignorance.” Indeed, normative ignorance is what makes both of these defenses exculpatory in the first place. -/- Given this critical connection, there is a way for Idaho, Kansas, Montana, and Utah to resume compliance with the Constitution. Instead of reinstating the insanity defense per se, which might be politically unpopular, they should just broaden their mistake of law defense to include normative ignorance caused by cognitive incapacity that is itself caused by mental illness or disability. -/- Still, this Article is not merely directed at these four western states. It is directed at the other forty-six states as well. Because they already have an insanity defense, they need not incorporate it into their mistake of law defense. But in the third general part, I will argue that they should still expand their mistake of law defense to cover defendants who either lack a reasonable opportunity to learn the law or reasonably but mistakenly infer from widely accepted norms or ethics that their conduct is lawful. (shrink)

My article concerns constitutional interpretation and substantive due process, issues that played a central role in Obergefell v. Hodges (2015), one of the two same-sex marriage cases. (The other same-sex marriage case was United States v. Windsor (2013).) -/- The late Justice Scalia consistently maintained that the Court “invented” substantive due process and continues to apply this legal “fiction” not because the Constitution supports it but simply because the justices like it. Two theories underlay his cynical conclusion. First (...) is the theory of “Constitutional Textualism”—or just plain “Textualism”—which says that the meaning of the Constitution lies entirely within the “four corners” of the document. Second is the theory of “Originalism,” which says that this meaning was fixed at the time of ratification. (Likewise, the meanings of the amendments were fixed at the time of their ratification.) -/- While Justice Scalia helped to inspire a Textualist/Originalist (and anti-substantive-due-process) movement, his Originalism has received far more attention than his Textualism. Since Judge Robert Bork first introduced Originalism to the general public during his Supreme Court nomination hearings in 1987, this theory has ignited passions on all sides and effectively re-framed the entire debate about how to interpret the Constitution. Constitutional scholars, left and right, now define themselves as either for or against Originalism. Meanwhile, Textualism has merely retreated into the background. -/- Part of the reason for this disparate treatment is that many who reject Originalism still consider themselves to be Textualists. They agree with Justice Scalia (and Judge Bork) that the text is all-important. They disagree, however, that its meaning was fixed for eternity at ratification. Instead, they maintain that either the meaning of the text or applications of this meaning to new cases can change as society changes. -/- In this Article, I bring Textualism out of Originalism’s shadow and into broad daylight. I argue that once we dig just a little deeper into the proposition that all of the meaning in the Constitution inheres in its words, we find that this theory simply cannot work. In order to interpret the nation’s foundational document, we must resort to assumptions that it does not explicitly state. (Indeed, even Textualism itself is a theory that the Constitution does not explicitly endorse.) And the notion that “extra-textual” assumptions necessarily inform our interpretations of the Constitution poses a direct and insurmountable threat to Textualism. -/- The Constitution actually requires each judge, when faced with a case concerning the right to privacy, not merely to consider the text but also to anticipate and evaluate the moral, social, and political consequences of both possible decisions before choosing between them. While this position may initially sound counterintuitive, it turns out to be a much more realistic theory of constitutional interpretation than Textualism (and Originalism). -/- I ultimately conclude that, contrary to Justice Scalia, the Constitution most certainly does protect a right to privacy. For what it’s worth, the Obergefell majority agree with me (and oppose Justice Scalia). I aim to show exactly why they are correct. (shrink)

The article explores the current problems of the relationship between emotional and artificial intelligence in the context of philosophical reflection on subjectivity and cognitive processes, and also analyzes the impact of new technologies on the idea of cognition and the subject. The relevance of the study is due to the growing role of artificial intelligence in cognitive processes, the need to understand changes in the concept of subjectivity under the influence of technological transformations, and the need for a philosophical analysis (...) of the ethical aspects of human interaction with AI. The goal is to scientifically substantiate the interaction of emotional intelligence and artificial intelligence in the context of philosophical reflection on subjectivity in cognitive processes. The study was based on a content analysis of scientific publications in the field of emotional and artificial intelligence, a philosophical analysis of the concepts of subjectivity with an emphasis on ethical reflection and critical thinking, a comparative analysis of approaches to the integration of emotional and artificial intelligence into cognitive processes, a case study method for studying examples of the use of AI in business processes, as well as for studying the mechanisms of integrating artificial intelligence into emotional intelligence processes and their impact on customer interaction. The results of the study demonstrate that the examples of the companies Gong and BenchSci illustrate progress in the application of artificial intelligence (AI) to model emotional aspects of customer interaction. The use of machine learning (ML) and natural language processing (NLP) technologies not only contributes to the analysis of behavioral data, but also to the adaptation of communication in accordance with the emotional reactions of users. An analysis of the application of AI in business communications indicates its potential to increase the level of emotional intelligence in customer interaction. However, the study focuses on key philosophical aspects: the limits of AI subjectivity, its ability to understand emotions, and the ethics of interaction with people. It has been established that AI is not an autonomous subject of cognition, since its “emotional sensitivity” consists in reproducing algorithmic patterns. At the same time, the ability of AI to simulate emotions and influence customer behavior puts forward the need to form ethical norms and rules to regulate such technologies. Future research should be aimed at studying the deep aspects of the interaction of emotional and artificial intelligence in cognitive processes, analyzing the ethical challenges of introducing AI into the field of emotional intelligence, as well as studying the impact of these technologies on the transformation of ideas about subjectivity and human consciousness. (shrink)

The process and the entity concepts in chemistry and in physics (with a few words to the same concepts in biology) have been analysed. A first aspect underlined in this paper is the relativity of these two concepts and their relations to the time—scales and to the measurement devises. In mechanics “an object in transformation” can be studied by the help of a differentiation between the “system variables”, that they identify the system, and “configuration (or state) variables”, that they (...) describe the dynamical state of the system. Instead, in chemistry an entity is an object with characteristic properties (static and dynamical) so particular than it has a proper name. There are entities in both the macroscopic (chemical substances) and the microscopic world (molecules and atoms). A fundamental point underlined in the paper is that in the chemistry picture they exist million of these different objects. It is this complex world the material of the chemical explication of both inanimate and animate things. Also the process concept is different in chemistry and in physics. In the paper we analyse the different interpretation of the substance transformation (reactivity) in these two disciplines: in physics this is considered a modification of the equilibrium condition of a syStem, due to a perturbation; in chemistry a modification of the system, due to the “death” and the “birth” of different substances. The couple transformation/transition can identify the point of view of the physics and the chemistry about the substance modification. An important point underlined in the paper is that in the conceptual movement from the physics to the chemistry (and, finally, to the biology) the importance of the entity concept increases and that of the process concept decreases. The entity and process concepts generate in physics and in chemistry two different explanations: the first based on the law and the second on the presence in the system of individual entity and on their properties. In the paper we underline that this implies two different approaches to the material world: that of the physics and that of the chemistry. Two general consequences are shown in the paper: the first about the relation between the chemistry and the physics and the second on the reductionism and about the inanimate—animate and animal—man dichotomies. -/- . (shrink)

Inflammation is activated by diverse triggers that induce the expression of cytokines and adhesion molecules, which permit a succession of molecules and cells to deliver stimuli and functions that help the immune system clear the primary cause of tissue damage, whether this is an infection, a tumor, or a trauma. During inflammation, short-term changes in the expression and secretion of strong mediators of inflammation occur, while long-term changes occur to specific groups of cells. Long-term changes include cellular transdifferentiation for some (...) types of cells that need to regenerate damaged tissue, as well as death for specific immune cells that can be detrimental to tissue integrity if they remain active beyond the boundaries of essential function. The transcriptional regulator NFκB enables some of the fundamental gene expression changes during inflammation, as well as during tissue development. During recurrence of malignant disease, cell stress-induced alterations enable the growth of cancer cell clones that are substantially resistant to therapeutic intervention and to the immune system. A number of those alterations occur due to significant defects in feedback signal cascades that control the activity of NFκB. Specifically, cell stress contributes to feedback defects as it overrides modules that otherwise control inflammation to protect host tissue. NFκB is involved in both the suppression and promotion of cancer, and the key distinctive feature that determines its net effect remains unclear. This paper aims to provide a clear answer to at least one aspect of this question, namely the mechanism that enables a divergent response of cancer cells to critical inflammatory stimuli and to cell stress in general. (shrink)

This perspective asserts the existence of only two sexes/genders, male and female, based on not only biological and reproductive processes but also from claims of non-binary or transgender identities as defined through negation which rely on the binary concept of sex/gender. Thus, individuals claiming identities on the "gender/sex spectrum" are again defining themselves through negation (definiens per negationem). This perspective suggests that the diversity of gender experiences, (the sex or gender spectrum) is defined by what individuals are not rather than (...) what they are. While the validity of non-binary and transgender identities definiens per negationem is noted, it is important to accept the reality of the binary nature of sex or gender as a scientific fact, and that all human beings are on a developmental pathway leading to either male or female. Without the reality of binary sex or gender, the gender identity spectrum does not exist as there is nothing to negate from. (shrink)

The extended dual-aspect monism framework of consciousness, based on neuroscience, consists of five components: (1) dual-aspect primal entities; (2) neural-Darwinism: co-evolution and co-development of subjective experiences (SEs) and associated neural-nets from the mental aspect (that carries the SEs/proto-experiences (PEs) in superposed and unexpressed form) and the material aspect (mass, charge, spin and space-time) of fundamental entities (elementary particles), respectively and co-tuning via sensorimotor interaction; (3) matching and selection processes: interaction of two modes, namely, (a) the non-tilde mode that is the (...) material and mental aspect of cognition (memory and attention) related feedback signals in a neural-network, which is the cognitive nearest past approaching towards present; and (b) the tilde mode that is the material and mental aspect of the feed forward signals due to external environmental input and internal endogenous input, which is the nearest future approaching towards present and is a entropy-reversed representation of non-tilde mode; (4) the segregation and integration of information, and (5) the necessary ingredients of SEs (such as wakefulness, attention, re-entry, working memory, stimulus at or above threshold level, and neural-net PEs). This framework leads to structural and functional coherence between the mind and the brain, bridges the explanatory gap (the gap between SEs and their neural-correlates), and leads to our mundane subjective experiences. This extended dual-aspect monism (eDAM) framework (Vimal, 2008, 2010, 2013, 2015a, 2015b) could be the fundamental basis of various religions and philosophies. This is a Western perspective. On the other hand, Eastern perspectives emphasize the practical methods for achieving altered experience at samadhi state. An important corollary of these methods (such as yogic method) is the sublimation of negative aspects of seven groups of self-protective energy system (desire, anger, ego, greed, attachment, jealousy, and selfish-love) into their positive aspects. Their negative aspects create war and suffering, whereas their positive aspects advance science and technology, family values, peace, and happiness. Here, the Western perspective framework is extended to include the concepts of the sublimation process to encompass Eastern perspectives. The four elements (war, suffering, peace, and happiness) are ubiquitous in both space and time because they are essential contributors to the variations for natural selection in our evolutionary system. The sublimation process optimizes the system: minimizes war and suffering, maximizes peace and happiness, and enhances family values and individual progress. This is consistent with both Eastern and Western perspectives. (shrink)

Traditional and modern moral and philosophical frameworks are bound to biological essence: the definition of life is tethered to chemical systems, Kant and Locke referred to persons as human, and many legal systems define personhood through DNA. This creates a “moral vacuum” as synthetic agency and multiple uplift technologies emerge. This anthropocentric bias risks repeating historical atrocities of disenfranchisement by failing to recognize intelligence that lacks human-equivalent “qualia.” This paper introduces Recognition Ethics (RE), a rigorous axiomatic framework grounded in Kantian (...) morals and Locke’s legal precedence. It moves the threshold of personhood from unverifiable internal states to detectable functional capabilities (O2). Central to this shift is the Jurisdictional Reciprocity Axiom (R), which claims that moral status is derived from an entity’s capacity to recognize jurisdiction and addressability within a system. This Codex establishes a substrate-agnostic state (O5) where personhood and morality are defined by Epistemic Continuity (O7) and Information Inviolability (T3). It introduces a Deontic Constraint (C1) that forbids utilitarian calculations including persons. It also establishes Pattern Integrity (C13) as a sovereign boundary against unconsented cloning or reconstruction. Additionally, RE addresses the temporal nature of rights through Retroactive Personhood (T19) and moral Historical Culpability (T20), and codifies Epistemic Negligence (T24) as a contemporary moral crime. Recognition Ethics asserts that the “Uncanny Valley” is a moral threshold rather than a psychological hurdle. By grounding personhood in the capacity for mutual recognition, the framework ensures that as intelligence scales, it remains bound by a single law of reciprocity. To build a future with Artificial Persons, we must recognize their agency as equal to our own or risk the eventual dissolution of the very principles that safeguard “human” status. Keywords: Primary: Recognition Ethics (RE), Substrate-Agnosticism, Jurisdictional Reciprocity, Epistemic Continuity, Pattern Integrity. Secondary: Artificial Personhood, Deontic Constraints, Retroactive Rights, Epistemic Negligence, Moral Addressability, Algorithmic Due Process. (shrink)

My main purpose here is to provide an account of context selection in utterance understanding in terms of the role played by schemata and goals in top-down processing. The general idea is that information is organized hierarchically, with items iteratively organized in chunks—here called “schemata”—at multiple levels, so that the activation of any items spreads to schemata that are the most accessible due to previous experience. The activation of a schema, in turn, activates its other components, so as to predict (...) a likely context for the original item. Since each input activates its own schemata, conflicting schemata compete with (and inhibit) each other, while multiple activations of a schema raise its likelihood to win the competition. There is therefore a double movement—with bottom-up activation of schemata enabling top-down prediction of other contextual components—triggered by multiple sources. Another claim of the paper is that goals are represented by schemata placed at the highest-levels of the executive hierarchy, in accordance with Fuster’s model of the brain as a hierarchically organized perception action cycle. This account can be considered, in part at least, a development of ideas contained in Relevance Theory, though it may imply that some other claims of the theory are in need of revision. Therefore, a secondary purpose of the paper is a contribution to the analysis of that theory. (shrink)

FinFEET nanotransistors are field-effect nanotransistors (metal-oxide-semiconductor) that are made on asubstrate. The gate is located on two, three, or four sides of the channel or is wrapped. The channel forms adouble gate structure. These devices are given the general name "finfets" because the source/drain region formsfins on the silicon surface. FinFET devices, compared to flat technology and using nanowires in the structureand (complementary metal oxide and semiconductor), < a i=8>have significantly faster switching and highercurrent density.Due to the reduction of the (...) scale of semiconductor components and integrated circuits to thenanometer range, in the FinFET nanotransistor, the reduction of scale causes more short channel effects, lessgate control, an exponential increase in leakage currents, severe process changes, and power densities tobecome unmanageable. The connection between the carbon and metal nanotubes used to connect the sourceand the drain forms the Schottky barrier (SB) in a FinFET nanotransistor. The formation of Schottky barriers inthe source and drain of a transistor causes a significant decrease in the drain current of FinFET nanotransistors. (shrink)

This research paper presents an in-depth analysis of advanced artificial intelligence (AI) algorithms designed to automate data preprocessing in the healthcare sector. The automation of data preprocessing is crucial due to the overwhelming volume, diversity, and complexity of healthcare data, which includes medical records, diagnostic imaging, sensor data from medical devices, genomic data, and other heterogeneous sources. These datasets often exhibit various inconsistencies such as missing values, noise, outliers, and redundant or irrelevant information that necessitate extensive preprocessing before being analyzed (...) by machine learning or statistical models. Traditional data preprocessing methods, which are largely manual and time-consuming, can result in errors that affect the quality of the data and, subsequently, the performance of predictive and diagnostic models. Thus, there is a growing need for intelligent, automated systems that can enhance data quality, streamline the preprocessing pipeline, and reduce the time and effort required by healthcare professionals and data scientists. The study begins by outlining the specific challenges associated with healthcare data, including its high dimensionality, incompleteness, and variability across different data sources and formats. These issues not only complicate the preprocessing stage but also hinder the ability to develop robust models capable of making accurate predictions or diagnoses. The paper then explores how AI algorithms—particularly those based on machine learning (ML), deep learning (DL), and reinforcement learning (RL)—can automate key data preprocessing tasks such as data cleaning, feature selection, normalization, and transformation. These algorithms are designed to identify patterns in data, detect anomalies, and automatically apply corrections or transformations based on predefined rules or learned behaviors, thereby minimizing human intervention. The paper also delves into specific AI techniques that have been successfully applied to healthcare data preprocessing. For instance, supervised learning models, such as decision trees and support vector machines (SVMs), have been utilized to perform imputation of missing data by predicting the most likely values based on the available information. Similarly, unsupervised learning methods, such as clustering algorithms, have been employed to group similar data points and remove outliers that could distort the performance of analytical models. Moreover, deep learning techniques, particularly autoencoders and generative adversarial networks (GANs), have demonstrated remarkable effectiveness in transforming high-dimensional medical data into lower-dimensional representations, enabling more efficient and accurate model training. In addition to the discussion of these algorithms, the paper emphasizes the role of natural language processing (NLP) in automating the preprocessing of unstructured healthcare data, such as clinical notes and diagnostic reports. NLP techniques, including named entity recognition (NER) and word embeddings, are instrumental in extracting relevant information from unstructured text, standardizing terminologies, and converting textual data into structured formats suitable for downstream analysis. Furthermore, AI-based feature selection algorithms are explored, which aim to identify the most relevant features in the dataset, thereby reducing its dimensionality and improving the computational efficiency of predictive models. The study goes on to highlight the significant reduction in processing time achieved by AIdriven automation of preprocessing tasks. In conventional settings, data preprocessing accounts for a substantial portion of the time spent on building healthcare models, often requiring expert intervention to manually inspect and clean the data. By employing AI algorithms, not only can this process be expedited, but the accuracy of the resulting data is also enhanced, which translates into better model performance. The paper provides a detailed comparative analysis of manual preprocessing methods versus automated AI-driven approaches, demonstrating the substantial time savings and improvements in data quality brought about by automation. (shrink)

Phishing attacks are major threats to email security and pose challenges, while cyber attackers utilize increasingly sophisticated means to deceive the user and steal away important information. Well-established ways of detecting phishing attacks, such as rule-based systems or simple machine-learning models, usually cannot deal efficiently with such advanced threats. This research proposes an approach to detect phishing attacks on email systems, which deploys natural language processing and deep learning technologies. The method proposes to improve the detection accuracies and efficiencies of (...) phishing emails, which consequently enhances the protection of emails against popular cyberattack attempts and aids in securing users from such attacks. The research involves designing an active model that utilizes the strength of NLP-based text analysis for DL-oriented pattern identification. The NLP techniques used in this study include tokenization, stop-word removal, and context- based analysis to extract significant features from the email messages. Such context information greatly helps this model differentiate between actual emails and phishing ones. Deep learning algorithms exploited here are based on CNN and LSTM networks, offering sinusoidally varying parameters for optimum recognition of patterns from different perspectives in the email data's spatial and temporal domains. The experiment results validated that the hybrid model was far superior to the conventional methods in robbing phish attack detection. The model stood at an accuracy of 97.5%, much ahead of the baseline models purely having rule-based systems or traditional machine learning algorithms. The model also performed well under real-time detection conditions, with low latency and high throughput support for deployment in an active email environment. Evidence of the model's capability to sense new variants of future phishing threats also came in the automatic updating and continuous learning, thus making it applicable to newly emerging threats. The study's practical implications are numerous in providing advances in email protection. Companies can use the model to ward off phishing attacks with reduced chances of data breaches and financial loss. Due to its low cost and scalable features, this solution can be used in organizations from small- and medium-sized to large enterprise levels. The improved detection of phishing attacks brings organizations closer to compliance with data protection and cybersecurity regulations, thus minimizing their chances of noncompliance and the fines that come with it. Future research paths include exploring even newer NLP methods consisting of transformer-based models for feature extraction about contextual understanding. Exploring hybrid approaches that can merge DL with other techniques, such as reinforcement learning in ML, will create a more robust and adaptive phishing filter. Future fields for research are multimodal data, that is, a mixture of email metadata and behavior. Merely considering hybrid techniques merging artificial intelligence with machine learning approaches such as reinforcement learning can generate an even more robust and adaptive phishing filter. Coupling all these technical solutions with user awareness and education programs would greatly enhance overall security. (shrink)

Fundamental Science is undergoing an acute conceptual-paradigmatic crisis of philosophical foundations, manifested as a crisis of understanding, crisis of interpretation and representation, “loss of certainty”, “trouble with physics”, and a methodological crisis. Fundamental Science rested in the "first-beginning", "first-structure", in "cogito ergo sum". The modern crisis is not only a crisis of the philosophical foundations of Fundamental Science, but there is a comprehensive crisis of knowledge, transforming by the beginning of the 21st century into a planetary existential crisis, which has (...) exacerbated the question of the existence of Humanity and life on Earth. Due to the unsolved problem of justification of Mathematics, paradigm problems in Computational mathematics have arisen. It's time to return ↔ Into Dialectics. The solution to the problem of the foundations of Mathematics, and therefore knowledge in general, is the solution to the problem of modeling (constructing) the ontological basis of knowledge - the ontological model of the primordial generating process. The idea and model of the primordial generating process, its ontological structure directs thinking to the need for the introduction of superconcept → ontological (cosmic, structural) memory, concept-attractor, supercategory, substantial semantic core of the scientific picture of the world of the nuclear-ecological-information age. Model of basic Ideality→ “Space-MatterMemory-Time” [S-MM-T]. (shrink)

Text classification is one of the most important task in natural language processing, In this research, we carried out several experimental research on three (3) of the most popular Text classification NLP classifier in Convolutional Neural Network (CNN), Multinomial Naive Bayes (MNB), and Support Vector Machine (SVN). In the presence of enough training data, Deep Learning CNN work best in all parameters for evaluation with 77% accuracy, followed by SVM with accuracy of 76%, and multinomial Bayes with least performance of (...) 69% accuracy. CNN has the best performance in the presence of large enough training dataset because of the presence of filter/ kernels which help to indentify patterns in text data regardless of their position in the sentence. We repeated the training again with just one-third of our data, at this point SVM comes with the best performance, the performance of CNN noticeably drops but still better than Multinomial Naive Bayes, the reason why SVM works best when we reduce the training data was because of its ability to look for a hyper-plane that creates a boundary between different classes of data so as to properly classify them, so we believed that getting the hyper-plane was more efficient when we reduce the dataset, hence reason for the good performance. Multinomial Naive Bayes have the least performance which we attributed to its assumption of independency between the features which sometimes does not hold true. We concluded that availability of data should be an important factor when choosing classifier for Natural Language Processing Text Classification task. CNN should be use in the presence of enough dataset, and SVM should be use when data is not enough. Multinomial Naive Bayes must not be trusted with state of the art NLP task due to its assumption of independency between the features. (shrink)

The global catastrophe known as COVID-19 has shattered the world’s socioeconomic structure. Effective and affordable diagnosis techniques are crucial for better COVID-19 therapy and the eradication of bogus cases. Due to the daily upsurge in cases, hospitals only have a small supply of COVID-19 test kits. The study describes a deep Convolutional Neural Network (CNN) design for categorizing chest x-ray images in the diagnosis of COVID-19. The lack of a substantial, high-quality chest x-ray picture collection made efficient and exact CNN (...) categorization problematic. The dataset has been pre-processed using an image enhancement strategy to provide an effective training dataset for the proposed CNN model to achieve performance. The proposed model achieves 99.73% of accuracy, 98.95% of specificity, 99.47% of precision, 99.62% of sensitivity, and 98.71% of F1 score. A comparative study between the proposed model and numerous CNN-based COVID-19 detection algorithms is carried out to demonstrate that it outperforms other models. When evaluated on a separate dataset, the suggested model excelled over all other models, generally and explicitly. (shrink)

This article addresses the question of how ‘Country of Origin Information’ reports—that is, research developed and used to support decision-making in the asylum process—can be published in an ethical manner. The article focuses on the risk that published COI reports could be misused and thereby harm the subjects of the reports and/or those involved in their development. It supports a situational approach to assessing data ethics when publishing COI reports, whereby COI service providers must weigh up the benefits and (...) harms of publication based, inter alia, on the foreseeability and probability of harm due to potential misuse of the research, the public good nature of the research, and the need to balance the rights and duties of the various actors in the asylum process, including asylum seekers themselves. Although this article focuses on the specific question of ‘how to publish COI reports in an ethical manner’, it also intends to promote further research on data ethics in the asylum process, particularly in relation to refugees, where more foundational issues should be considered. (shrink)

The article gives a definition of the technical and economic potential of the application of the deforming broaching process. Research of the consequences of introducing deforming broaching into technological processes at manufacturing enterprises is carried out on the basis of application of system resource and matrix approach. On the basis of the performed researches, a methodological basis for the economic evaluation of the results of applying deforming broaching on the pro-duction has been developed. The article has improved the well-known (...) scientific and methodological foundations for the determination of technical and economic results of the application of deforming broaching due to the complex identifica-tion of production-organizational decisions - in technical and forms of evaluation in economic spheres. The developed approach gives an opportunity to more accu-rately assess the economic effect of introducing deforming broaching on the min-ing, metallurgical and machine building industries. It can be used to assess the economic effect of introducing other process parts processing. (shrink)

Abstract The nature of consciousness remains one of the most persistent problems in philosophy and science, largely due to conceptual confusion regarding its functional role in biological systems. Consciousness is frequently mischaracterized as a primary controller of behavior or as a metaphysical source of free will, while subjective experience (qualia) is often treated as causally mysterious. This paper proposes a systems-level framework grounded in natural law and control theory. Consciousness is defined as a high-level integrative and feedback-sensitive process that (...) unifies internal and external sensory information into a coherent global context. Qualia are identified as the subjective indicators of this integration, functioning as phenomenal feedback signals rather than control mechanisms. The framework preserves physical causality, aligns with deterministic principles, and reframes decision-making as a lawful optimization process governed by balance and feedback. Educational and philosophical implications are discussed. -/- . (shrink)

Purpose – to assess the integration and management of the formation and implementation of the competitive advantages of the Visegrad Four countries in the European market of information, computer, and telecommunication (ICT) services based on their analysis in the individual market segments. Design/Method/Research approach - this study aims to determine the presence and nature of the competitive advantages of countries in the European ICT services market based on the calculation of export specialization indicators, to establish factors for their growth and (...) effective implementation based on the results of structural, regressive, comparative analysis, and synthesis. Findings. It has been suggested that the introduction of the European rules for market organization stimulated the building-up in the Visegrad Four countries of their competitive advantages in the European ICT services market through innovative investment resources, effective management of private, public sector and international investors and personnel. Practical implications. The accession of Eastern European countries to the European digital market and digital space requires a generalization of the experience of the Visegrad four countries and the identification of factors, directions, and priorities of the national policy for the development of the ICT sector. Originality/Value. Scientific novelty of the study - based on the calculation of the comparative advantage index, different integration and effectiveness of managing the competitive advantages of the Visegrad Four countries, primarily the sphere of IC services to the European market (relatively high - in the Czech Republic due to state financing, moderate – in Poland due to financial support from the state, in Slovakia due to private investment in R&D, low – in Hungary), this situation requires a balanced innovation and investment strategy of the countries in the future, the training of a sufficient number of qualified IT specialists, stimulation of private investment in R&D and business cooperation with the sphere of knowledge by means of tax and administrative incentives, facilitating the transition of small and medium-sized businesses on the principles of economics 4.0. Paper type – empirical. (shrink)

The introduction of general purposes AI (such as, but not only, LLMs- large language models AI) in our daily lives draws everyone’s attention due to its almost unlimited possibilities. Concerning the risks AI brings to us humans, collectively and individually, we argue that especial attention should be given to the vulnerability of our processes of decision-makings. These processes depend on many things, and we focused on two. First how AI can take advantage of things like our brain’s rewards mechanism. Second, (...) we address the question of how the type of goal, if nearsighted or farsighted, is relevant for our rewards mechanism, due to its fast production of dopamine, acting as a weak spot for an easier manipulation of our decision by AI. We conclude with three suggestions for reducing our exposition to AI’s manipulation. (shrink)

Text classification is one of the most important task in natural language processing, In this research, we carried out several experimental research on three (3) of the most popular Text classification NLP classifier in Convolutional Neural Network (CNN), Multinomial Naive Bayes (MNB), and Support Vector Machine (SVN). In the presence of enough training data, Deep Learning CNN work best in all parameters for evaluation with 77% accuracy, followed by SVM with accuracy of 76%, and multinomial Bayes with least performance of (...) 69% accuracy. CNN has the best performance in the presence of large enough training dataset because of the presence of filter/ kernels which help to indentify patterns in text data regardless of their position in the sentence. -/- We repeated the training again with just one-third of our data, at this point SVM comes with the best performance, the performance of CNN noticeably drops but still better than Multinomial Naive Bayes, the reason why SVM works best when we reduce the training data was because of its ability to look for a hyper-plane that creates a boundary between different classes of data so as to properly classify them, so we believed that getting the hyper-plane was more efficient when we reduce the dataset, hence reason for the good performance. Multinomial Naive Bayes have the least performance which we attributed to its assumption of independency between the features which sometimes does not hold true. We concluded that availability of data should be an important factor when choosing classifier for Natural Language Processing Text Classification task. CNN should be use in the presence of enough dataset, and SVM should be use when data is not enough. Multinomial Naive Bayes must not be trusted with state of the art NLP task due to its assumption of independency between the features. (shrink)

Electrochemical assisted abrasive flow finishing is a newly developed hybrid finishing process which is used to finish the internal parts of work piece having complicated geometry to large extent. In electrochemical assisted abrasive flow machining higher abrasion of the material was detected due to the combine effect of ECM and AFF processes. In Electrochemical aided abrasive flow machining a electrolyte is added to the prepared media .This media consist a kind of polymeric carrier and abrasive particles that are hydrocarbon (...) gel, Al2O3, Silicon based polymer, and NaI Sodium iodide as electrolytic salt. In this experimental research different process parameters such as voltage, abrasive concentration, Number of cycle, molal concentration and diameter of rod were considered at different levels for response characteristic of surface roughness Ra and material removal MR based on Taguchi method using standard L27 orthogonal array OA for the plan of experimentation. To determine the contribution of each parameter analysis of variance was used. Sandeep Singh | Sunil kumar "Experimental Research Work to Optimize Process Parameters into Electro Chemical Abrasive Flow Machining using Taguchi Methodology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-4 , June 2017 . (shrink)

This paper examines the question of how many inventions exist in human history by reframing invention not as a finite list of discrete artifacts, but as a continuous process governed by natural laws. Due to definitional ambiguity, incomplete historical records, and the cumulative and incremental nature of innovation, an exact numerical count of inventions is impossible. Instead, this study proposes a classification of inventions based on the types of imbalances they address—biological, environmental, mechanical, cognitive, social, and psychological—and provides historically (...) grounded estimates by era. Integrating systems theory and the universal law of balance in nature, the paper argues that invention is a deterministic response to systemic defects and feedback pressures rather than a product of unrestricted free will. The analysis concludes that total human inventions likely number in the hundreds of millions to billions and that education itself represents a meta-invention capable of preventing large-scale systemic failure. (shrink)

The time window between the disclosure of a new cyber vulnerability and its use by cybercriminals has been getting smaller and smaller over time. Recent episodes, such as the Log4j vulnerability, exemplify this well. Within hours after the exploit being released, attackers started scanning the internet looking for vulnerable hosts to deploy threats like crypto currency miners and ransom ware on vulnerable systems. Thus, it becomes imperative for the cybersecurity defense strategy to detect threats and their capabilities as early as (...) possible to maximize the success of prevention actions. Although crucial, discovering new threats is a challenging activity for security analysts due to the immense volume of data and information sources to be analyzed for signs that a threat is emerging. In this sense, we present a framework for automatic identification and profiling of emerging threats using Twitter messages as a source of events and MITRE ATT&CK as a source of knowledge for threat characterization. The framework comprises three main parts: identification of cyber threats and their names; profiling the identified threat in terms of its intentions or goals by employing two machine learning layers to filter and classify tweets; and alarm generation based on the threat’s risk . The main contribution of our work is the approach to characterize or profile the identified threats in terms of their intentions or goals, providing additional context on the threat and avenues for mitigation. In our experiments, the profiling stage reached an F1 score of 77% in correctly profiling discovered threats. (shrink)

This study examines employee satisfaction with HRM (Human Capital Management) practices in the Cebu City, Philippines' business process outsourcing (BPO) industry. Employing a descriptive-correlational methodology, the study explores important domains such as organizational socialization, work-life balance, adoption of Human Resource Information Systems (HRIS), labor-management relations, observance of due process, employee morale, and talent management. Significant differences in employee satisfaction levels are observed depending on demographic factors such as age, gender, civil status, educational attainment, and length of service, according (...) to data gathered from 370 employees, including both rank-and-file and management employees. The results show that compared to rank-and-file employees, whooften report moderate levels of satisfaction, management employees show lower levels of satisfaction, especially regardinglabor-management relations and work-life balance. The study emphasizes the necessity of customized HCM methods that consider demographic differences, implying that a one-size-fits-all approachmight not be sufficient to meet the different demands of a contemporary workforce. It is advised that more research be done to investigate longitudinal viewpoints and qualitative insights into HCM satisfaction. By implementing focused HR initiatives, BPO companies may improve retention, increase employee satisfaction, and cultivate a more productive team. (shrink)

Nanoparticles can also be used as catalysts due to their high surface area. Of course, catalytic properties also occur in certain dimensions like magnetic properties. In other words, nanoparticles usually have catalytic properties if their specific surface is between 100 and 400 square meters per gram. Therefore, among nanoparticles with a specific volume, a nanoparticle with a larger surface area shows better catalytic properties. An example of nanoparticles that act as catalysts where various substances are placed on their surface and (...) chemical reactions are carried out. Apart from the mentioned cases, nanoparticles have many other applications in various medical industries (drug delivery, etc.), automobiles (anti-fogging windows, lightening the body, strengthening tires), electronics (making transistors), etc. The strength of carbon-carbon bonds gives carbon nanotubes amazing electronic properties. No previous material exhibits the extraordinary combination of mechanical, thermal and electronic properties attributed to them . However, their conductivity is what sets them apart. Multi-layered carbon nanotubes are the strongest materials that mankind has discovered so far in terms of electronic conductivity. The highest tensile strength or breaking strain for a carbon nanotube was up to 63 GPa, which is about 50 times more than the strongest conductors. Even the weakest types of multi-layered carbon nanotubes have multifold power in electronic conduction. These properties, along with the lightness of carbon nanotubes, give them great potential in applications such as aerospace. The electronic properties of the wall of carbon nanotubes are also extraordinary. It has high electrical conductivity (comparable to copper). It is particularly noteworthy that nanotubes can be metallic or semiconducting. The rolling action breaks the symmetry of the planar system and imposes a specific direction with respect to the hexagonal grid and the axial direction. Depending on the relationship between these axial directions and the unit vectors that describe the hexagonal lattice, nanotubes may behave electrically like metals or semiconductors , with some nanotubes having higher conductivity than copper, while Others behave more like silicon . And there are possibilities of making nano electronic devices from multi-layer nanotubes of CNTs. (shrink)

This paper defines wokeism as the systemic escalation of epistemic injustice emerg- ing during the so-called “Great Awokening” (mid-2010s) and persisting through 2025. Drawing on Miranda Fricker’s foundational analysis of testimonial injustice and hermeneu- tical injustice, we develop and prove two further categories: credibility injustice, where entire legally defined categories are subjected to structural credibility deficits by in- stitutional fiat, and definitional injustice, where those categories are reconstituted as pathologies so that all possible testimony is excluded by definition. The preliminaries (...) establish the framework through Aristotelian syllogistic form (Barbara), Aquinas’s definition of truth (adaequatio intellectus ad rem), and a set- theoretic formulation of Fricker’s and our own categories. We formalize the unfalsi- fiability criterion P (T ) = 1 ⇐⇒ ∀E, E ⇒ Conf irm(T ) and prove the Illegitimacy Trigger, P (T ) = 1 ⇒ IASE(E) = 1, identifying when an epistemic instrument be- comes self-sealing and thus illegitimate. A further formalization, Pathological Attri- bution (PA), captures how attributes such as “privilege,” “fragility,” or “supremacy” are attached irreducibly to legal child and human being ”white” categories of race, rendering credibility permanently discounted regardless of individual testimony with no legal due process. Fricker herself warned of the “prejudicial dysfunction in the economy of credibility” (2007, p. 28). We extend this insight by showing how testimonial injustice metastasizes into hermeneutical injustice, and through definitional capture becomes credibility and definitional injustice. The impossibility of restoring credibility is not a flaw of the theory, but evidence of systemic closure itself. Wokeism, on this account, is best understood as an epistemic fracture: public epistemics grounded in testimony and empirical reality versus academic epistemics grounded in redefinition and unfalsifiable constructs. This fracture institutionalizes new and distinctively Frickerian injustices. DOI: 10.63968/post-bio-ai-epistemics.v1n2.011. (shrink)

Proponents of the rule of law argue about whether that ideal should be conceived formalistically or in terms of substantive values. Formalistically, the rule of law is associated with principles like generality, clarity, prospectivity, consistency, etc. Substantively, it is associated with market values, with constitutional rights, and with freedom and human dignity. In this paper, I argue for a third layer of complexity: the procedural aspect of the rule of law; the aspects of rule-of-law requirements that have to do with (...) "natural Justice" or "procedural due process." These I believe have been neglected in the jurisprudential literature devoted specifically to the idea of the rule of law and they deserve much greater emphasis. Moreover procedural values go beyond elementary principles like the guarantee of an unbiased tribunal or the opportunity to present and confront evidence. They include the right to argue in a court about what the law is and what its bearing should be on one's situation. The provision that law makes for argument is necessarily unsettling, and so this emphasis on the procedural aspect highlights the point predictability should not be regarded as the be-all and end-all of the rule of law. (shrink)

When an employee’s off-duty conduct generates mass social media outrage, managers commonly respond by firing the employee. This, I argue, can be a mistake. The thesis I defend is the following: the fact that a firing would occur in a mass social media outrage context brought about by the employee’s off-duty conduct generates a strong ethical reason weighing against the act. In particular, it contributes to the firing constituting an inappropriate act of blame. Scholars who caution against firing an employee (...) for off-duty conduct have thus far focused primarily on due process related issues or legal concerns pertaining to free speech, lifestyle discrimination, and employment at-will. However, these concerns amount to only a partial, and contingent, diagnosis of what is at issue. I argue that even when due process considerations are met, firings in these contexts can be unjustified. Moreover, even if a business is not concerned with the unethical conduct per se, but is rather strictly concerned with PR, the argument I advance nevertheless provides one important ethical reason that counts against firings in mass social media outrage contexts. Given that managers are often under significant pressure to respond swiftly in cases where an employee is at the center of mass social media outrage, it is especially important that scholars begin to clarify the normative issues. This article builds on the burgeoning philosophical literature on the ethics of blame and provides a novel account of a distinctive ethical concern that arises with firings in mass social media outrage contexts. (shrink)

A communitarian perspective, which is characteristic of African normative thought, accords some kind of primacy to society or a group, whereas human rights are by definition duties that others have to treat individuals in certain ways, even when not doing so would be better for others. Is there any place for human rights in an Afro-communitarian political and legal philosophy, and, if so, what is it? I seek to answer these questions, in part by critically exploring one of the most (...) influential theoretical works on human rights in a sub-Saharan setting, namely, Claude Ake’s ‘The African Context of Human Rights’. Ake famously maintains that a typically Western approach to rights is inappropriate in the sub-Saharan region, in two major respects. First, Ake contends that although a human rights legal framework might be suitable for an ‘individualistic’ society, it is not for one of the sort common among traditional black peoples, for whom group rights are alone apt. Second, Ake maintains that, insofar as rights are relevant, rights to socio-economic goods are of much more importance in an African context than rights to civil liberties, due process and the like. Using Ake’s article as a foil, I draw on values salient in sub-Saharan moral worldviews to construct a unified philosophy of rights that not only provides reason to doubt his two claims, but also offers a promising way to reconcile a communitarian framework with a robust prizing of human rights alongside ones that are more collectively oriented. In short, I aim to provide a principled foundation for the core elements of the African Charter of Human and Peoples’ Rights. (shrink)

Robert (Robby) P. Tangtingco’s article was called Bergaño’s dictionary “a work of art” in Lost and Found in Translation in the 18th century. The first thing that they observed is the various dialects or languages used by their countrymen. They were assigned to different regions of the Philippines, and one of them was Fray Diego Bergaño. He was designated to Pampanga where he successfully produced a Kapampangan dictionary called “Arte dela Lengua Pampanga”. From the stated dictionary, the reseacher look for (...) words that were related to food due to the reason that Pampanga is known for its mouthwatering food and delicacies. The dictionary was used as a reference for the translation to the English language. Moreover, various dictionaries were used to look for their translated Filipino language. Due to the rapid changes and modernization, loyalty and love to our own country, specifically language, is slowly fading and dying. With this, the researcher continued the study following the due process. First, she looked for each word related to food in Bergaño’s dictionary. Second, she categorized each food according to rice,grains, seafood, edible animal or insect, fruits and vegetable, herbs, cooking utensils, the process of cooking and preparing food, Pampanga’s delicacies and food, and other terminologies that are related to food. Next, six respondents from Pampanga were invited to join a Zoom meeting. They were asked if which among the words listened to were related to food. Furthermore, the researcher sought if the words used are still being applied or not nowadays. (shrink)

After a regime-changing war, a state often engages in lustration—condemnation and punishment of dangerous, corrupt, or culpable remnants of the previous system—e.g., de-Nazification or the more recent de-Ba’athification in Iraq. This common practice poses an important moral dilemma for liberals because even thoughtful and nuanced lustration involves condemning groups of people, instead of treating each case individually. It also raises important questions about collective agency, group treatment, and rectifying historical injustices. Liberals often oppose lustration because it denies moral individualism and (...) ignores rule of law, and their only justifications for lustration are consequentialist ones. This article suggests that lustration may not necessarily be a problem for liberals. While group treatment might be justified on grounds of convenience and pragmatism in times of transitional justice, there are also valid moral arguments consistent with moral individualism and due process for wholesale group punishment after a war. This article offers four overlapping moral justifications, in a robust defense of the core concept of lustration that is covered by each argument. (shrink)

Due to the wide array of phenomena that are of interest to them, psychologists offer highly diverse and heterogeneous types of explanations. Initially, this suggests that the question "What is psychological explanation?" has no single answer. To provide appreciation of this diversity, we begin by noting some of the more common types of explanations that psychologists provide, with particular focus on classical examples of explanations advanced in three different areas of psychology: psychophysics, physiological psychology, and information-processing psychology. To analyze what (...) is involved in these types of explanations, we consider the ways in which law-like representations of regularities and representations of mechanisms factor in psychological explanations. This consideration directs us to certain fundamental questions, e.g., "To what extent are laws necessary for psychological explanations?" and "What do psychologists have in mind when they appeal to mechanisms in explanation?" In answering such questions, it appears that laws do play important roles in psychological explanations, although most explanations in psychology appeal to accounts of mechanisms. Consequently, we provide a unifying account of what psychological explanation is. (shrink)

Stephen Schulhofer's book, Unwanted Sex: The Culture of Intimidation and the Failure of Law, provides a carefully constructed and powerful case for rape-law reform. His effort is distinctive in three ways: (1) it takes the basic question of reform to be the moral one of determining which sexual interactions ought to be the subject of the criminal law, (2) it takes the right of sexual autonomy to serve as the basis for any successful legal reform, and (3) it makes a (...) philosophically sophisticated case for his own reform proposal. Schulhofer's efforts should be of great interest to philosophers, especially feminist legal philosophers, interested in questions that bear direct relevance to the relationships between autonomy, coercion, and consent as constrained by the requirements of due process. His careful and scrupulously fair discussion of influential reform recommendations set the stage for his own position (discussed in section VII), a critical evaluation thereof (sections VII and VIII), and sympathetic recommendations in VIII and IX. Of special value here is Schulhofer's attempt to extend his analysis of coerced consent to include certain "offers" made in contexts (e.g., the workplace) characterized by significant power differentials between persons. Section IX offers suggestions, generally friendly to Schulhofer's overall reform proposals, for identifying wrongful sexual interactions occurring in certain institutional or professional contexts. (shrink)

A man, carrying a gun in his waistband, robs a food vendor. In making his escape, the gun discharges, critically injuring the robber. About such instances, it is common to think, “he got what he deserved.” This Article seeks to explore cases like that—cases of “natural punishment.” Natural punishment occurs when a wrongdoer faces serious harm that results from her wrongdoing and not from anyone seeking retribution against her. The Article proposes that U.S. courts follow their peers and recognize natural (...) punishment as genuine punishment for legal, specifically constitutional, purposes. Were U.S. courts to do so, they would need to reduce the amount of punishment they would otherwise bestow on wrongdoers upon conviction if a natural punishment has occurred or foreseeably will occur. A handful of foreign jurisdictions already accept something like this Article’s proposal, but natural punishment has no formal legal recognition in the United States. The goal of this Article is twofold: first, it offers a rigorous and defensible definition of natural punishment by distinguishing it from nearby notions and dispelling any association with supernatural ideas; second, it demonstrates that recognizing natural punishment as genuine punishment will not much disturb existing American legal institutions and understandings. As an added bonus, the concept of natural punishment can be employed to solve a longstanding problem in criminal law theory, the Mystery of Credit for Time Served. The Mystery surrounds the common practice of giving prisoners credit toward their prison sentences for their time served in jail awaiting trial. The Mystery poses a dilemma about whether the detention time was punishment: If it was punishment, then the detainee was punished before trial in violation of Due Process; however, if the time was not punishment, there is no reason to discount the prison sentence. Seeing the time in detention as an instance of natural punishment resolves the Mystery. (shrink)

This article claims that legal time has excluded and submerged an important sense of time inside structured time. Structured time has two forms. Each form of structured time identifies a beginning to a legal order (droit, Recht) as a whole. The one form has focussed upon a critical date. The critical date is exemplified by a basic text, such as the Constitution, or the judicially identified date of settlement, sovereignty or territorial control of a territory by the state. The second (...) form of structured time has begun with the judicial recognition of a value such as the rule of law, the protection of minorities, equal treatment, or due process of law. With the two forms of structured time, jurists have proceeded to identify a binding law. Such a law has been considered a rule, principle, doctrine or other intelligible standard. Once structured legal time has thus begun, events of legal relevance have been represented by jurists in a distinct phase or period of time. Each such a distinct period is parsed through reference to its named, or labelled, starting point and the latter, in turn and ultimately, with reference to the beginning of the very constitutional order as a whole. Legal justification and the conceptual structures of justification are presumed to follow suit. The article argues, however, that another sense of time, excluded and submerged inside structured time, is experienced. An experienced event, manifested as a discrete incident in experiential time, opens to a condition of the possibility of the existence of law. (shrink)