This study sought to investigate the Human Resource and Management (HRM) Program of a preschool hereinafter referred to as the Early Years Learning Center (EYLC) in Mandaluyong City for purposes of this research study. This is a qualitative case study that delved particularly into the issue of employee retention, especially of seasoned teachers and staff of the subject learning center. It used the interview method to generate an in-depth analysis as it revisited its HRM Program. To triangulate the data gathered, (...) documents from websites and social media as well as artifacts were also utilized. There is a dearth of research on the Human Resource and Management Program in preschool education. Most studies are from India and China. In terms of the HRM Program in education, SWOT analysis was frequently used to help improve the program. There were negligible sources that used the balanced scorecard at the preschool level. Hence, a combination of the SWOT analysis and the Balanced Scorecard method were utilized - the SWOT Analysis to determine the problems the learning center faces vis-à-vis its HRM Program, and the balanced scorecard in the search for a solution or strategy to help solve the problem. Based on the study, these combined tools proved to be effective in revisiting the HRM Program of schools. After interviewing the Directress of EYLC, findings disclosed that to be able to improve the retention of employees in the learning center, the focus should be given to the hiring policies and procedures keeping in mind the job security of its targeted employees. This brings forward concerns over advertising schemes utilizing different venues and platforms as well as issues involving the provision of seasoned employees with a retirement package, comprehensive Health Management Organization (HMO), and a continuing professional development program. (shrink)

In this paper we attempt to reply to the thoughtful comments made on our book, Responsible Brains, by a stellar group of scholars. Our reply focuses on two topics discussed in the commenting papers: first, the issue of responsibility for negligent behavior; and second, the broad claim that facts about brain function are normatively inert. In response to worries that our theory lacks normative implications, we will concentrate on an area where our theory has clear relevance to law and legal (...) policy: juvenile responsibility. (shrink)

The psychological literature now differentiates between two types of psychopath:successful (with little or no criminal record) and unsuccessful (with a criminal record). Recent research indicates that earlier findings of reduced autonomic activity, reduced prefrontal grey matter, and compromised executive activity may only be true of unsuccessful psychopaths. In contrast, successful psychopaths actually show autonomic and executive function that exceeds that of normals, while having no difference in prefrontal volume from normals. We argue that many successful psychopaths are legally responsible for (...) their actions, as they have the executive capacity to choose not to harm (and thus are legally rational). However, many unsuccessful psychopaths have a lack of executive function that should at least partially excuse them from criminal culpability. Although a successful psychopath's increased executive function may occur in conflict with, rather than in consonance with their increased autonomic activity - producing a cognitive style characterized by self deception and articulate-sounding, but unsound reasoning - they may be capable of recognizing and correcting their lack of autonomic data, and thus can be held responsible. (shrink)

In a recent book, Neil Levy argues that culpable action – action for which we are morally responsible – is necessarily produced by states of which we are consciously aware. However, criminal defendants are routinely held responsible for criminal harm caused by states of which they are not conscious in Levy’s sense. In this chapter I argue that cases of negligent criminal harm indicate that Levy’s claim that moral responsibility requires synchronic conscious awareness of the moral significance of an act (...) is too strict, and that tracing conditions cannot be successfully used to bolster Levy’s account. Instead, current legal practices indicate that criminal responsibility requires the capacity for diachronic agency and self-control, not synchronic conscious control. (shrink)

In this chapter I use virtue theory to critique certain contemporary punishment practices. From the perspective of virtue theory, respect for rational agency indicates a respect for choice-making as the process by which we form dispositions which in turn give rise to further choices and action. To be a moral agent one must be able to act such that his or her actions deserve praise or blame; virtue theory thus demands that moral agents engage in rational choice-making as a means (...) to develop and exercise the character traits from which culpable action issues. With respect to criminal offenders, virtue theory indicates the state is obligated to recognize offenders’ right to form their own moral character via rational choice-making, even while under state supervision. I will argue below that punishment practices should limit choice-making only to the extent necessary to achieve the functions of punishment : whenever possible, punishment should preserve opportunities for the rational exercise of character and development of virtue. This means that even within a prison setting incarcerated offenders should be able to make some choices about their daily lives. Offenders should also be offered opportunities to develop virtuous traits through rehabilitative programming such as drug addiction treatment, educational programming, and job training. I will also argue that two contemporary punishment practices unjustly undermine an offender’s moral agency. The first is the overuse of isolation sanctions, which very severely limits offender choice-making. The second is chemical castration, which results in limiting an offender’s capacity to develop his character within a specific realm of choice-making. I conclude that these two punishments violate offenders’ moral agency, and that this violation cannot be justified by appeal to the aims of incapacitation, deterrence, retribution, and rehabilitation. (shrink)

Does smoke cause fire or does fire cause smoke? James Woodward’s “Flagpoles anyone? Causal and explanatory asymmetries” argues that various statistical independence relations not only help us to uncover the directions of causal and explanatory relations in our world, but also are the worldly basis of causal and explanatory directions. We raise questions about Woodward’s envisioned epistemology, but our primary focus is on his metaphysics. We argue that any alleged connection between statistical (in)dependence and causal/explanatory direction is contingent, at best. (...) The directions of causal/explanatory relations in our world seem not to depend on the statistical (in)dependence relations in our world (conceived of either as frequency patterns or as relations among chances). Thus, we doubt that statistical (in)dependence relations are the worldly basis of causal and explanatory directions. (shrink)

Empirical research has distinguished moral judgments that focus on an act and the actor’s intention or mental states, and those that focus on results of an action and then seek a causal actor. Studies indicate these two types of judgments may result from a “dual-process system” of moral judgment (Cushman 2008, Kneer and Machery 2019). Results-oriented judgements may be subject to the problem of resultant moral luck because different results can arise from the same action and intention. While some argue (...) luck should not bear on persons’ culpability, Victor Kumar has argued that the tendency to hold unlucky agents responsible for harm is justified by consequentialist aims of punishment (Kumar 2019). In contrast, judgments that focus on acts and intentions may be primarily retributive. Kumar claims that judgments focused on results track external, public harm because this increases the reliability of punishment and better achieves instrumental aims, including deterrent effect. In this chapter I examine rape cases using Kumar’s theory of punishment. Rape involves outcomes that are not publicly available. If judgments of punishment depend on outcomes, then we would expect such judgments to be less stable for those instances of wrongdoing that lack public outcomes such as rape, because such judgments would rely instead on often biased and unreliable inferential processes to establish the presence of mental states, which are essentially private. In this way Kumar’s theory actually predicts the way in which we see criminal justice institutions fail with regard to arrest, prosecution, and punishment related to rape; and we might expect similar failures for other crimes that lack publicly available results. In sum, a fundamental problem with institutionalized punishment centered upon results may be that some crimes sit within a moral blindspot. (shrink)

This chapter examines how advances in nanotechnology might impact criminal sentencing. While many scholars have considered the ethical implications of emerging technologies, such as nanotechnology, few have considered their potential impact on crucial institutions such as our criminal justice system. Specifically, I will discuss the implications of two types of technological advances for criminal sentencing: advanced tracking devices enabled by nanotechnology, and nano-neuroscience, including neural implants. The key justifications for criminal punishment- including incapacitation, deterrence, rehabilitation, and retribution – apply very (...) differently to criminal sentences using these emerging technologies than they do to imprisonment. Further, use of these technologies would represent a shift away from retribution as the primary justification for criminal punishment. In addition, the possibility of nano-neural implants entails a new model of rehabilitation: namely, involuntary rehabilitation aimed at changing an offender’s character, rather than his environment. (shrink)

This chapter explores whether chemical castration can be justified as a form of criminal punishment. The author argues that castration via the drug medroxyprogesterone acetate (MPA), or some similar drug, does not achieve the punishment aims of retribution, deterrence, or incapacitation, but might serve as punishment in the form of rehabilitative treatment. However, current U.S. chemical castration statutes are too broad to be justified as rehabilitative. The state is warranted in targeting psychological states in criminal defendants for rehabilitative treatment where (...) such states (a) act as a primary cause of a criminal offender’s crime and (b) give rise to extraordinary worries that the offender will recidivate. Current statutes qualify criminal offenders for castration who do not have overwhelming sexual urges or other psychological states causally related to their crime that may be treated with MPA. Thus, even assuming the efficacy of MPA, such statutes are unjustifiable because they apply chemical castration to offenders for whom castration will have no rehabilitative effect. (shrink)

US criminal courts have recently moved toward seeing juveniles as inherently less culpable than their adult counterparts, influenced by a growing mass of neuroscientific and psychological evidence. In support of this trend, this chapter argues that the criminal law’s notion of responsible agency requires both the cognitive capacity to understand one’s actions and the volitional control to conform one’s actions to legal standards. These capacities require, among other things, a minimal working set of executive functions—a suite of mental processes, mainly (...) realized in the prefrontal cortex, such as planning and inhibition—which remain in significant states of immaturity through late adolescence, and in some cases beyond. Drawing on scientific evidence of how these cognitive and volitional capacities develop in the maturing brain, the authors sketch a scalar structure of juvenile responsibility, and suggest some possible directions for reforming the juvenile justice system to reflect this scalar structure. (shrink)

This article examines the domestic use of drones by law enforcement to gather information. Although the use of drones for surveillance will undoubtedly provide law enforcement agencies with new means of gathering intelligence, these unmanned aircrafts bring with them a host of legal and epistemic complications. Part I considers the Fourth Amendment and the different legal standards of proof that might apply to law enforcement drone use. Part II explores philosopher Wittgenstein’s notion of actional certainty as a means to interpret (...) citizens' expectations of privacy with regard to their patterns of movement over time. Part III discusses how the theory of actional certainty can apply to the epistemic challenge of determining what is a “reasonable” expectation of privacy under the law. This Part also investigates the Mosaic Theory as a possible reading of the Fourth Amendment. (shrink)

The emerging neuroscience of psychopathy will have several important implications for our attempts to construct an ethical society. In this article we begin by describing the list of criteria by which psychopaths are diagnosed. We then review four competing neuropsychological theories of psychopathic cognition. The first of these models, Newman’s attentional model, locates the problem in a special type of attentional narrowing that psychopaths have shown in experiments. The second and third, Blair’s amygdala model and Kiehl’s paralimbic model represent the (...) psychopath’s problem as primarily emotional, including reduced tendency to experience fear in normally fearful situations, and a failure to attach the proper significance to the emotions of others. The fourth model locates the problem at a higher level: a failure of psychopaths to notice and correct for their attentional or emotional problems using “executive processes.” In normal humans, decisions are accomplished via these executive processes, which are responsible for planning actions, or inhibiting unwise actions, as well as allowing emotions to influence cognition in the proper way. We review the current state of knowledge of the executive capacities of psychopaths. We then evaluate psychopaths in light of the three major philosophical theories of ethics, utilitarianism, deontological theory, and virtue ethics. Finally, we turn to the difficulty psychopath offenders pose to criminal law, because of the way psychopathy interacts with the various justifications and functions of punishment. We conclude with a brief consideration of the effects of psychopaths on contemporary social structures. (shrink)

The cases that Doris chronicles of confabulation are similar to perceptual illusions in that, while they show the interstices of our perceptual or cognitive system, they fail to establish that our everyday perception or cognition is not for the most part correct. Doris's account in general lacks the resources to make synchronic assessments of responsibility, partially because it fails to make use of knowledge now available to us about what is happening in the brains of agents.

Child soldiers, who often appear to be both victims and perpetrators, present a vexing moral and legal challenge: how can we protect the rights of children while seeking justice for the victims of war crimes? There has been little stomach, either in domestic or international courts, for prosecuting child soldiers—but neither has this challenge been systematically addressed in international law. Establishing a uniform minimum age of criminal responsibility would be a major step in the right direction; we argue that such (...) a standard ought to be guided by the best evidence from neuropsychology about the development, during childhood and adolescence, of the executive functions that give rise to morally and legally responsible agents. In light of that evidence, which suggests that the brain’s executive functions are still maturing into early adulthood, we recommend a graded structure of culpability for child soldiers. (shrink)

The images of human suffering from New Orleans in the aftermath of Hurricane Katrina remain seared in our nation's collective memory. More than 8 years on, the city and its African-American population still have not recovered fully. This reality highlights an important truth: the disturbances that accompany climate change will first and foremost affect minority communities, many of whom are economically disadvantaged. This paper: (1) describes how Hurricane Katrina, an example of the type of natural disaster that will (...) become more prevalent with intensifying climate change, has impacted the black community of New Orleans; (2) explores the notion that African Americans, in the midst of racial oppression, have developed a unique and powerful brand of environmental thought that has much to contribute to mainstream environmentalism; and (3) argues that the voice of the black community, which has a vested interest in climate outcomes, is critically needed in today's climate debate. (shrink)

One branch of bioethics assumes that mainly agents of the state are responsible for public health. Following Susan Sherwin’s relational ethics, we suggest moving away from a “state-centered” approach toward a more thoroughly relational approach. Indeed, certain agents must be reconstituted in and through shifting relations with others, complicating discussions of responsibility for public health. Drawing on two case studies—the health politics and activism of the Black Panther Party and the work of the Common Ground Collective in post-Katrina New (...) Orleans—we argue for the need to attend more carefully to the limitations of states and state-driven public health programs. (shrink)

Philosophical Perspectives, Volume 35, Issue 1, Page 170-188, December 2021.

Neuroethics is the body of work exploring the ethical, legal, and social implications of neuroscience. This work can be separated into two rough categories. The neuroscience of ethics concerns a neuroscientific understanding of the brain processes that underpin moral judgment and behavior. The ethics of neuroscience, on the other hand, includes the potential impact advances in neuroscience may have on social, moral and philosophical ideas and institutions, as well as the ethical principles that should guide brain research, treatment of brain (...) disease, and cognitive enhancement. Central to the questions posed in neuroethics is the way in which neuroscience might impact our sense of self and personal responsibility, and our understanding the structure of moral judgments. (shrink)

This chapter will argue that the criminal law is most compatible with a specific theory regarding the mind/body relationship: non-eliminative reductionism. Criminal responsibility rests upon mental causation: a defendant is found criminally responsible for an act where she possesses certain culpable mental states (mens rea under the law) that are causally related to criminal harm. If we assume the widely accepted position of ontological physicalism, which holds that only one sort of thing exists in the world – physical stuff – (...) non-eliminative reductive physicalism about the mind offers the most plausible account of the full-bodied mental causation criminal responsibility requires. Other theories of the mind/body relationship, including elminativism and non-reductive physicalism, threaten criminal responsibility because they do not offer satisfactory accounts of mental causation. Eliminativism, as the name implies, eliminates the mental or is skeptical that it can do the causal work necessary to responsibility; and non-reductive theories disconnect the mental from the physical/casual world such that the mental can no longer have reliable causal effects. (shrink)

[This download includes the table of contents and chapter 1.] -/- When we praise, blame, punish, or reward people for their actions, we are holding them responsible for what they have done. Common sense tells us that what makes human beings responsible has to do with their minds and, in particular, the relationship between their minds and their actions. Yet the empirical connection is not necessarily obvious. The “guilty mind” is a core concept of criminal law, but if a defendant (...) on trial for murder were found to have serious brain damage, which brain parts or processes would have to be damaged for him to be considered not responsible, or less responsible, for the crime? The authors argue that evidence from neuroscience and the other cognitive sciences can illuminate the nature of responsibility and agency. They go on to offer a novel and comprehensive neuroscientific theory of human responsibility. (shrink)

Despite the high profile of evolutionary explanations of human behaviour, their status remains highly disputed. Are all evolutionary explanations of human behaviour sensational 'just so' stories, or is there a proper science of sociobiology? Sense and Nonsense provides an answer to this question by assessing the legitimacy of a range of evolutionary approaches to human behaviour.

The challenges facing us today require practical wisdom to allow us to react appropriately. In this paper, we argue that at a group level, we will make better decisions if we respect and take into account the moral judgment of agents with diverse styles of cognition and moral reasoning. We show this by focusing on the example of autism, highlighting different strengths and weaknesses of moral reasoning found in autistic and non-autistic persons respectively.

When laws or legal principles mention mental states such as intentions to form a contract, knowledge of risk, or purposely causing a death, what parts of the brain are they speaking about? We argue here that these principles are tacitly directed at our prefrontal executive processes. Our current best theories of consciousness portray it as a workspace in which executive processes operate, but what is important to the law is what is done with the workspace content rather than the content (...) itself. This makes executive processes more important to the law than consciousness, since they are responsible for channeling conscious decision-making into intentions and actions, or inhibiting action.We provide a summary of the current state of our knowledge about executive processes, which consists primarily of information about which portions of the prefrontal lobes perform which executive processes. Then we describe several examples in which legal principles can be understood as tacitly singling out executive processes, including principles regarding defendants’ intentions or plans to commit crimes and their awareness that certain facts are the case, as well as excusatory principles which result in lesser responsibility for those who are juveniles, mentally ill, sleepwalking, hypnotized, or who suffer from psychopathy. (shrink)

Persons think. Bodies, time-slices of persons, and brains might also think. They have the necessary neural equipment. Thus, there seems to be more than one thinker in your chair. Critics assert that this is too many thinkers and that we should reject ontologies that allow more than one thinker in your chair. I argue that cases of multiple thinkers are innocuous and that there is not too much thinking. Rather, the thinking shared between, for example, persons and their bodies is (...) exactly what we should expect at the intersection of part sharing and the supervenience of the mental on the physical. I end by responding to the overcrowding objection, the personhood objection, the personal-pronoun reference problem and the epistemic objection. (shrink)

As the debate between realists and empiricists in the philosophy of science drags on, one point of consensus has emerged: no one wants to be a manifestationalist. The manifestationalist is a kind of radical empiricist who argues that science provides theories that aim neither at a true picture of the entire world, nor even an empirically adequate picture that captures the world in all its observable respects. For manifestationalists, science aims only at providing theories that are true to the observed (...) aspects of reality. If the guiding idea of empiricism is that experience, and experience alone, provides us with knowledge about the world, then manifestationalism is an exceptionally strict empiricist perspective on science. Manifestationalism has primarily served within a reductio: certain empiricist views and arguments, when taken to their logical conclusion, lead to manifestationalism and so cannot be correct. The reductio works only because manifestationalism is widely agreed to be a non-starter. However, this consensus against manifestationalism is based on a single argument. We contest this assessment of manifestationalism and show that the primary argument against manifestationalism fails to hit its target. We do not intend to offer a manifesto for manifestationalism. Rather, we aim to vindicate it from a false accusation. Manifestationalism may not be the correct view of science, but the objections levied against it so far can be met. (shrink)

This paper presents the design and development of intelligent tutoring system for teaching Oracle. The Oracle Intelligent Tutoring System (OITS) examined the power of a new methodology to supporting students in Oracle programming. The system presents the topic of Introduction to Oracle with automatically generated problems for the students to solve. The system is dynamically adapted at run time to the student’s individual progress. An initial evaluation study was done to investigate the effect of using the intelligent tutoring system on (...) the performance of students. (shrink)

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

Western philosophy has been defined through the exclusion of non-Western forms of thought as non-philo-sophical. In this paper, I place the notion of what is “properly” philosophy into question by contrasting the essence/appearance paradigm governing Western metaphysics and its deconstructive critics with the more fluid, dynamic, and participatory forms of encountering and performatively enacting the world that are articulated in Chinese thinking and made apparent in Chinese painting. In this hermeneutical contrast, Western and Chinese thinking themselves are interpeted as co-relational (...) rather than as discrete, mutually indifferent or ethnocentrically nativist traditions. (shrink)

Two arguments against the compatibility of epistemic internalism and content externalism are considered. Both arguments are shown to fail, because they equivocate on the concept of justification involved in their premises. To spell out the involved equivocation, a distinction between subjective and objective justification is introduced, which can also be independently motivated on the basis of a wide range of thought experiments to be found in the mainstream literature on epistemology. The subjective/objective justification distinction is also ideally suited for providing (...) new insights with respect to central issues within epistemology, including the internalism/externalism debate and the New Evil Demon intuition. (shrink)

Abstract: The COVID-19 pandemic has posed unprecedented challenges to global healthcare systems, necessitating accurate and timely forecasting of cases for effective mitigation strategies. In this research paper, we present a novel approach to predict COVID-19 cases using Artificial Neural Networks (ANNs), harnessing the power of machine learning for epidemiological forecasting. Our ANNs-based forecasting model has demonstrated remarkable efficacy, achieving an impressive accuracy rate of 97.87%. This achievement underscores the potential of ANNs in providing precise and data-driven insights into the dynamics (...) of the pandemic. However, this paper underscores the critical importance of a comprehensive evaluation beyond accuracy, including metrics such as sensitivity, specificity, and the area under the ROC curve (AUC-ROC), to assess the model's performance robustness. The research paper offers detailed insights into the architecture of the ANN model, encompassing critical hyperparameters, data preprocessing techniques, and regularization strategies employed to optimize model accuracy. Ethical considerations surrounding data privacy and potential biases within the COVID-19 dataset are also addressed. While the achieved accuracy is a significant milestone, this study underscores the dynamic and evolving nature of the pandemic, necessitating continuous model refinement and validation. Furthermore, it emphasizes the importance of considering false positives and false negatives in the context of public health decision-making. In conclusion, this research contributes to the arsenal of tools available for pandemic management by showcasing the potential of ANNs in COVID-19 case forecasting. It encourages ongoing exploration and adaptation of predictive models to enhance their applicability in real-world public health scenarios, ultimately contributing to more effective pandemic control and response efforts. (shrink)

Intelligent tutoring system (ITS) is a computer system which aims to provide immediate and customized or reactions to learners, usually without the intervention of human teacher's instructions. Secretariats professional to have the common goal of learning a meaningful and effective manner through the use of a variety of computing technologies enabled. There are many examples of professional Secretariats used in both formal education and in professional settings that have proven their capabilities. There is a close relationship between private lessons intelligent, (...) cognitive learning and design theories; and there are ongoing to improve the effectiveness of ITS research. And it aims to find a solution to the problem of over-reliance on students' teachers for quality education. The program aims to provide access to high-quality education to every student, and therefore the reform of the education system as a whole. In this paper, we will use Intelligent Tutoring System Builder (ITSB) to build an education system on cloud computing in terms of the concept of cloud computing and components and how to take advantage of cloud computing in the field. (shrink)

The theoretical foundations of climate science have received little attention from philosophers thus far, despite a number of outstanding issues. We provide a brief, non-technical overview of several of these issues – related to theorizing about climates, climate change, internal variability and more – and attempt to make preliminary progress in addressing some of them. In doing so, we hope to open a new thread of discussion in the emerging area of philosophy of climate science, focused on theoretical foundations.

This paper excavates the practice-oriented background and therapeutic significance of emptiness in the Madhyamaka philosophy attributed to Nāgārjuna and Sengzhao. Buddhist emptiness unravels experiential and linguistic reification through meditation and argumentation. The historical contexts and uses of the word indicate that it is primarily a practical diagnostic and therapeutic concept. Emptiness does not lead to further views or truths but, akin to yet distinct from Ajñāna and Pyrrhonian skepticism, the suspension of assertion. This sense of emptiness as a practice can (...) be traced in the intercultural transmission of Madhyamaka from Nāgārjuna, its paradigmatic philosopher, to Sengzhao 僧肇, its first pivotal indigenous Chinese representative. (shrink)

Recently a number of scientists have proposed substantial changes to the practice of climate modeling, though they disagree over what those changes should be. We provide an overview and critical examination of three leading proposals: the unified approach, the hierarchy approach and the pluralist approach. The unified approach calls for an accelerated development of high-resolution models within a seamless prediction framework. The hierarchy approach calls for more attention to the development and systematic study of hierarchies of related models, with the (...) aim of advancing understanding. The pluralist approach calls for greater diversity in modeling efforts, including, on some of its variants, more attention to empirical modeling. After identifying some of the scientific and institutional challenges faced by these proposals, we consider their expected gains and costs, relative to a business-as-usual modeling scenario.We find the proposals to be complementary, having valuable synergies. But since resource limitations make it unlikely that all three will be pursued, we offer some reflections on more limited changes in climate modeling that seem well within reach and that can be expected to yield substantial benefits. (shrink)

Researchers and practitioners are increasingly using machine‐generated synthetic data as a tool for advancing health science and practice, by expanding access to health data while—potentially—mitigating privacy and related ethical concerns around data sharing. While using synthetic data in this way holds promise, we argue that it also raises significant ethical, legal, and policy concerns, including persistent privacy and security problems, accuracy and reliability issues, worries about fairness and bias, and new regulatory challenges. The virtue of synthetic data is often understood (...) to be its detachment from the data subjects whose measurement data is used to generate it. However, we argue that addressing the ethical issues synthetic data raises might require bringing data subjects back into the picture, finding ways that researchers and data subjects can be more meaningfully engaged in the construction and evaluation of datasets and in the creation of institutional safeguards that promote responsible use. (shrink)

Abstract: The efficiency and performance of sorting algorithms play a crucial role in various applications and industries. In this research paper, we present a comprehensive comparative analysis of popular sorting algorithms on datasets of different sizes and characteristics. The aim is to evaluate the algorithms' performance and identify their strengths and weaknesses under varying scenarios. We consider six commonly used sorting algorithms: QuickSort, TimSort, MergeSort, HeapSort, RadixSort, and ShellSort. These algorithms represent a range of approaches and techniques, including divide-and-conquer, hybrid (...) sorting, and simple comparison-based methods. To assess their performance, we employ a diverse set of datasets, including the Iris dataset (1K), student dataset (5.8K), Wine dataset (6.5K), Uniform (10K), Normal (10K), Exponential (10K), Bimodal (10K), Yelp dataset (10K), MNIST dataset (42K), Uniform (100K), Normal (100K), Exponential (100K), Bimodal (100K), Uniform (500K), Normal (500K), Exponential (500K), Bimodal (500K), Uniform (1M), Normal (1M), Exponential (1M), and Bimodal (1M). These datasets cover a wide range of sizes and characteristics, allowing us to analyze the algorithms' performance across different dimensions. We measure and compare several key metrics, including execution time, memory usage, algorithmic complexity and stability. By analyzing these metrics, we gain insights into the efficiency and suitability of each algorithm for different dataset sizes and characteristics. We also discuss the implications of the findings in practical applications. Our results reveal important trade-offs among the sorting algorithms. While some algorithms excel in certain scenarios, others demonstrate better scalability or memory efficiency. We identify the best-performing algorithms for specific dataset characteristics and highlight their strengths and limitations. This research can assist developers and practitioners in selecting appropriate sorting algorithms based on their specific requirements and dataset characteristics. In conclusion, this comparative analysis provides a valuable contribution to the understanding of sorting algorithm performance. The findings contribute insights into the efficiency and suitability of popular sorting algorithms across datasets of different sizes and characteristics. By evaluating key metrics and discussing the implications, we offer guidance for selecting the most appropriate sorting algorithm in various practical scenarios. (shrink)

In Everettian quantum mechanics, justifications for the Born rule appeal to self-locating uncertainty or decision theory. Such justifications have focused exclusively on a pure-state Everettian multiverse, represented by a wave function. Recent works in quantum foundations suggest that it is viable to consider a mixed-state Everettian multiverse, represented by a (mixed-state) density matrix. Here, we develop the conceptual foundations for decoherence and branching in a mixed-state multiverse, and extend the standard Everettian justifications for the Born rule to this setting. This (...) extended framework provides a unification of 'classical' and 'quantum' probabilities, and additional theoretical benefits, for the Everettian picture. (shrink)

This discussion treats a set of familiar social derelictions as consequences of the perversion of a universalistic moral theory in the service of an ill-considered or insufficiently examined personal agenda.The set includes racism, sexism, anti-Semitism, homophobia, and class elitism, among other similar pathologies, under the general heading of discrimination. The perversion of moral theory from which these derelictions arise, I argue, involves restricting its scope of application to some preferred subgroup of the moral community of human beings. -/- The following (...) analysis of higher-order discrimination suggests that we often select the individuals who constitute such subgroups for reasons that we ourselves would reject on moral grounds were we to examine them carefully, but that we choose instead to put our rational resources in the service of avoiding any such examination at all costs. The implication is that arguments that truncate the scope of moral theory in fact justify bestowing the gift of moral treatment on a select few who deserve it no more than the many from whom we withhold it. Therefore, it would be precipitous to conclude that universalistic moral theory can be legitimately restricted in its practical scope of application in any way at all. (shrink)

Abstract: The Knowledge-Based System for Diagnosing Breast Cancer aims to support medical students in enhancing their education regarding diagnosis and counseling. The system facilitates the analysis of biopsy images under a microscope, determination of tumor type, selection of appropriate treatment methods, and identification of disease-related questions. According to the Ministry of Health's annual report in Gaza, there were 7,069 cases of breast cancer between 2009 and 2014, with 1,502 cases reported in 2014. In an era dominated by visual information, where (...) 65% of the population are visual learners, the Knowledge-Based System serves as an effective tool to aid long-term information retention by utilizing visual and textual resources. The system features a user-friendly interface, enabling students to diagnose the disease and expand their understanding. Furthermore, it can be accessed via smartphones. The Knowledge-Based System comprises three primary components: Firstly, it provides specific patient-oriented questions to familiarize students with the questioning process. Secondly, it facilitates the analysis of biopsy sample images to determine their integrity and identify potential infections. Lastly, the system incorporates animated videos illustrating various approaches for treating breast cancer. (shrink)

While calls to integrate ethics into computer science education go back decades, recent high-profile ethical failures related to computing technology by large technology companies, governments, and academic institutions have accelerated the adoption of computer ethics education at all levels of instruction. Discussions of how to integrate ethics into existing computer science programmes often focus on the structure of the intervention—embedded modules or dedicated courses, humanists or computer scientists as ethics instructors—or on the specific content to be included—lists of case studies (...) and essential topics to cover. While proponents of computer ethics education often emphasize the importance of closely connecting ethical and technical content in these initiatives, most do not reflect in depth on the variety of ways in which the disciplines can be combined. In this paper, I deploy a framework from cross- disciplinary studies that categorizes academic projects that work across disciplines as multidisciplinary, interdisciplinary, or transdisciplinary, depending on the degree of integration. When applied to computer ethics education, this framework is orthogonal to the structure and content of the initiative, as I illustrate using examples of dedicated ethics courses and embedded modules. It therefore highlights additional features of cross-disciplinary teaching that need to be considered when planning a computer ethics programme. I argue that computer ethics education should aim to be at least interdisciplinary—multidisciplinary initiatives are less aligned with the pedagogical aims of computer ethics—and that computer ethics educators should experiment with fully transdisciplinary education that could transform computer science as a whole for the better. (shrink)

Abstract: Colon cancer is a prevalent and life-threatening disease, necessitating accurate and timely diagnosis for effective treatment and improved patient outcomes. This research paper presents the development of a knowledge-based system for diagnosing colon cancer using the CLIPS language. Knowledge-based systems offer the potential to assist healthcare professionals in making informed diagnoses by leveraging expert knowledge and reasoning mechanisms. The methodology involves acquiring and structuring medical knowledge specific to colon cancer, followed by the implementation of a knowledge- based system using (...) CLIPS. The system's design integrates relevant medical databases and employs advanced reasoning mechanisms to facilitate accurate diagnosis. Evaluation results demonstrate the system's effectiveness, with high accuracy and sensitivity rates compared to existing methods. The findings highlight the potential of knowledge-based systems in improving clinical practice and patient care. The research contributes to the growing field of medical informatics by demonstrating the feasibility and effectiveness of CLIPS-based knowledge systems for colon cancer diagnosis. Future research can focus on enhancing system performance and expanding its scope to encompass other types of cancer diagnoses. (shrink)

This research paper presents the development and evaluation of an expert system for diagnosing kidney diseases. The expert system utilizes a decision-making tree approach and is implemented using the CLIPS and Delphi frameworks. The system's accuracy in diagnosing kidney diseases and user satisfaction were evaluated. The results demonstrate the effectiveness of the expert system in providing accurate diagnoses and high user satisfaction.