This article considers some different views of fairness and whether they conflict with the use of a version of Cost Effectiveness Analysis (CEA) that calls for maximizing health benefits per dollar spent. Among the concerns addressed are whether this version of CEA ignores the concerns of the worst off and inappropriately aggregates small benefits to many people. I critically examine the views of Daniel Hausman and Peter Singer who defend this version of CEA and Eric Nord among others (...) who criticize it. I come to focus in particular on the use of CEA in allocating scarce resources to the disabled. (shrink)

-/- This chapter evaluates the ethical issues that using cost-effectiveness considerations to set animal health priorities might present, and its conclusions are cautiously optimistic. While using cost-effectiveness calculations in animal health is not without ethical pitfalls, these calculations offer a pathway toward more rigorous priority-setting efforts that allow money spent on animal well-being to do more good. Although assessing quality of life for animals may be more challenging than in humans, implementing prioritization based on cost- (...) class='Hi'>effectiveness is less ethically fraught. (shrink)

The Affordable Care Act (ACA) may be the most important health law statute in American history, yet much of the most prominent legal scholarship examining it has focused on the merits of the court challenges it has faced rather than delving into the details of its priority-setting provisions. In addition to providing an overview of the ACA’s provisions concerning priority setting and their developing interpretations, this Article attempts to defend three substantive propositions. First, I argue that the ACA is neither (...) uniformly hostile nor uniformly friendly to efforts to set priorities in ways that promote cost and quality. Second, I argue that the ACA does not take a single, unified approach to priority setting; rather, its guidance varies depending on the aspect of the health care system at issue (Patient Centered Outcomes Research Institute, Medicare, essential health benefits) and the factors being excluded from priority setting (age, disability, life expectancy). Third, I argue that cost-effectiveness can be achieved within the ACA's constraints, but that doing so will require adopting new approaches to cost-effectiveness and priority setting. By limiting the use of standard cost-effectiveness analysis, the ACA makes the need for workable rivals to cost-effectiveness analysis a pressing practical concern rather than a mere theoretical worry. (shrink)

This study addresses the issue of maintaining nutritional quality amidst financial hardship faced by families in Plateau State, Nigeria. Surveys research designed was used for the study. The study covers 3 local government areas in Plateau State, ensuring diverse representation. The sample size of 400 families residing in Plateau State was used. Questionnaire was used to collect data for the study which capture the demographic information, dietary habits, household budget allocation for food, and perceptions of nutritional value. Mean and standard (...) deviation was used to present result for the findings. The findings of the study revealed that that there should be cost-effective meal planning strategies in promoting healthy eating habits. Also, socioeconomic factors impact cost-effective meal planning in promoting healthy eating habits. Based on the findings, stakeholders, policymakers, and community organizations should implement interventions that support cost-effective meal planning, enhance nutritional literacy, and alleviate financial burdens on families in Plateau State. This study may empower families to make informed dietary choices and achieve better health outcomes despite economic constraints. (shrink)

This project considers whether and how research ethics can contribute to the provision of cost-effective medical interventions. Clinical research ethics represents an underexplored context for the promotion of cost-effectiveness. In particular, although scholars have recently argued that research on less-expensive, less-effective interventions can be ethical, there has been little or no discussion of whether ethical considerations justify curtailing research on more expensive, more effective interventions. Yet considering cost-effectiveness at the research stage can help ensure that (...) scarce resources such as tissue samples or limited subject popula- tions are employed where they do the most good; can support parallel efforts by providers and insurers to promote cost-effectiveness; and can ensure that research has social value and benefits subjects. I discuss and rebut potential objections to the consideration of cost-effectiveness in research, including the difficulty of predicting effectiveness and cost at the research stage, concerns about limitations in cost-effectiveness analysis, and worries about overly limiting researchers’ freedom. I then consider the advantages and disadvantages of having certain participants in the research enterprise, including IRBs, advisory committees, sponsors, investigators, and subjects, consider cost-effectiveness. The project concludes by qualifiedly endorsing the consideration of cost-effectiveness at the research stage. While incorporating cost-effectiveness considerations into the ethical evaluation of human subjects research will not on its own ensure that the health care system realizes cost-effectiveness goals, doing so nonetheless represents an important part of a broader effort to control rising medical costs. (shrink)

The assumption that procuring more organs will save more lives has inspired increasingly forceful calls to increase organ procurement. This project, in contrast, directly questions the premise that more organ transplantation means more lives saved. Its argument begins with the fact that resources are limited and medical procedures have opportunity costs. Because many other lifesaving interventions are more cost‐effective than transplantation and compete with transplantation for a limited budget, spending on organ transplantation consumes resources that could have been used (...) to save a greater number of other lives. This argument has not yet been advanced in debates over expanded procurement and could buttress existing concerns about expanded procurement. To support this argument, I review existing empirical data on the cost‐effectiveness of transplantation and compare them to data on interventions for other illnesses. These data should motivate utilitarians and others whose primary goal is maximizing population‐wide health benefits to doubt the merits of expanding organ procurement. I then consider two major objections: one makes the case that transplant candidates have a special claim to medical resources, and the other challenges the use of cost‐effectiveness to set priorities. I argue that there is no reason to conclude that transplant candidates’ medical interests should receive special priority, and that giving some consideration to cost‐effectiveness in priority setting requires neither sweeping changes to overall health priorities nor the adoption of any specific, controversial metric for assessing cost‐effectiveness. Before searching for more organs, we should first ensure the provision of cost‐effective care. (shrink)

The rapid growth of Artificial Intelligence (AI) has sparked the demand for scalable, efficient, and cost-effective deployment solutions. In particular, these methods are crucial for handling the increasing computing demand and complexity of AI models in human-centric tasks like real-time picture classification, speech recognition, and natural language processing. The three main topics of this paper's exploration of scalable AI deployment methodologies are real-time inference, model serving, and distributed training. Optimized deployment pipelines, parallel processing, and cloud infrastructure are essential for (...) striking a balance between performance and cost. This study offers a thorough analysis of various technologies, looking at their cost-effectiveness, suitability for use in real-world settings, and capacity to handle huge datasets. Along with evaluations, the article provides a comparative study of various approaches based on cost, efficiency, and scalability parameters. Tables are used to highlight the differences between the approaches. A survey of pertinent literature covering the years 2003 to 2022 gives context for the advancement of AI deployment technology. (shrink)

This research proposes a novel Smart Deduplication Framework (SDF) designed to identify and eliminate redundant data, thus optimizing storage usage and improving data retrieval speeds. The framework leverages a hybrid cloud architecture, combining the scalability of public clouds with the security of private clouds. By employing a combination of client-side hashing, metadata indexing, and machine learning-based duplicate detection, the framework achieves significant storage savings without compromising data integrity. Real-time testing on a hybrid cloud setup demonstrated a 65% reduction in storage (...) needs and a 40% improvement in data retrieval times. Additionally, the system employs blockchain for immutable logging of deduplication activities, enhancing transparency and traceability. This study concludes with an evaluation of the deduplication framework's impact on cost efficiency, system performance, and potential scalability. Future enhancements aim to integrate multi-cloud interoperability and advanced compression algorithms to further refine storage management. (shrink)

The costs of agricultural inputs added to those of labor represent almost a third of the total cost of Brazilian sugarcane production. This study analyzes the behavior of the price per ton of sugarcane in Brazil, relating it to the main production costs of this cultivation. Twelve price indicators from January 2015 to December 2020 were evaluated. First, the data were adjusted to a multiple linear regression model to identify the significant variables on variation in the price per ton (...) of sugarcane. Then, the Monte Carlo simulation was used to measure the level of certainty of occurrence of these variables, and forecasts were obtained from the adjustment of ARIMA models. The results showed the influence of the costs of diesel oil, two agricultural pesticides, and daily laborers on the price of sugarcane, besides an increasing trend of its, providing relevant short-term projections for decision-making about investments in the agribusiness sector. (shrink)

Judges are typically tasked to consider sentencing benefits but not costs. Previous research finds that both laypeople and prosecutors discount the costs of incarceration when forming sentencing attitudes, raising important questions about whether professional judges show the same bias during sentencing. To test this, we used a vignette-based experiment in which Minnesota state judges reviewed a case summary about an aggravated robbery and imposed a hypothetical sentence. Using random assignment, half the participants received additional information about plausible negative consequences of (...) incarceration. As predicted, our results revealed a mitigating effect of cost exposure on prison sentence term lengths. Critically, these findings support the conclusion that policies that increase transparency in sentencing costs could reduce sentence lengths, which has important economic and social ramifications. (shrink)

Effective Altruism is a social movement which encourages people to do as much good as they can when helping others, given limited money, time, effort, and other resources. This paper first identifies a minimal philosophical view that underpins this movement, and then argues that there is an analogous minimal philosophical view which might underpin Effective Justice, a possible social movement that would encourage promoting justice most effectively, given limited resources. The latter minimal view reflects an insight about justice, and our (...) non-diminishing moral reason to promote more of it, that surprisingly has gone largely unnoticed and undiscussed. The Effective Altruism movement has led many to reconsider how best to help others, but relatively little attention has been paid to the differences in degrees of cost-effectiveness of activities designed to decrease injustice. This paper therefore not only furthers philosophical understanding of justice, but has potentially major practical implications. (shrink)

This article evaluates seven strategies for managing the high costs of GLP-1 receptor agonists (GLP-1RAs) like semaglutide and tirzepatide for weight management: complete exclusion of coverage, annual cost increase caps, lifetime cost caps, tiered access, formulary reevaluation, subscription payment models, and patent reform. The authors assess each strategy against three ethical objectives: benefiting people and preventing harm, showing equal moral concern, and mitigating disadvantage. Complete coverage exclusions, arbitrary reimbursement caps, and lifetime limits are deemed unethical as they fail (...) to meet these objectives. Tiering access based on relative benefit is considered justifiable, though current implementation often unfairly favors diabetes over obesity treatment. The authors recommend formulary reevaluation as the most ethical approach for smaller health plans, allowing them to prioritize more cost-effective treatments. For larger payers with market power and for governments, subscription payment models and patent reforms are potentially ethical solutions if implemented sustainably. The authors conclude that health plans should avoid ad hoc restrictions on GLP-1RAs in favor of comprehensive policy reforms that ensure sustainable access to these and future breakthrough treatments. (shrink)

Critics of private charity often claim that the well-off should instead assist the disadvantaged through political reform. The present article explores this idea with reference to effective altruism, a powerful new paradigm in the ethics of philanthropy. Effective altruism presses the relatively affluent not only to give generously, but also to subject their practical deliberations to rigorous evaluations of impartiality and cost-effectiveness. The article contends that the movement’s sophisticated methods are not sufficient to overcome the worries of institutionalist (...) critics. At the same time, it shows that a transition from assistance to advocacy faces underappreciated and serious limitations. The measurement-based methods that allow effective altruists to identify promising assistance programs do not carry over well to political reform. In addition, unleashing greater private wealth into politics may exacerbate unequal opportunities for political influence. The article closes with preliminary suggestions for overcoming these concerns and connects them to broader developments in the politics of philanthropy. (shrink)

Civil disobedience, despite its illegal nature, can sometimes be justified vis-à-vis the duty to obey the law, and, arguably, is thereby not liable to legal punishment. However, adhering to the demands of justice and refraining from punishing justified civil disobedience may lead to a highly problematic theoretical consequence: the debilitation of civil disobedience. This is because, according to the novel analysis I propose, civil disobedience primarily functions as a costly social signal. It is effective by being reliable, reliable by being (...) costly, and costly primarily by being punished. My analysis will highlight a distinctive feature of civil disobedience: civil disobedients leverage the punitive injustice they suffer to amplify their communicative force. This will lead to two paradoxical implications. First, the instability of the moral status of both civil disobedience and its punishment to the extent where the state may be left with no permissible course of action with regard to punishing civil disobedience. Second, by refraining from punishing justified civil disobedience, the state may render uncivil disobedience—illegal political activities that fall short of the standards of civil disobedience—potentially permissible. (shrink)

Demographic diversity might often be present in a group without group members noticing it. What are the epistemic effects if they do? Several philosophers and social scientists have recently argued that when individuals detect demographic diversity in their group, this can result in epistemic benefits even if that diversity doesn’t involve cognitive differences. Here I critically discuss research advocating this proposal, introduce a distinction between two types of detection of demographic diversity, and apply this distinction to the theorizing on diversity (...) in science. Focusing on ‘invisible’ diversity, I argue that in one common kind of group in science, if group members have full insight into their group’s diversity, this is likely to create epistemic costs. These costs can be avoided and epistemic benefits gained if group members only partly detect their group’s diversity. There is thus an epistemic reason for context-dependent limitations on scientists’ insight into the diversity of their group. (shrink)

Effective altruism is the use of evidence and careful reasoning to work out how to maximize positive impact on others with a given unit of resources, and the taking of action on that basis. It’s a philosophy and a social movement that is gaining considerable steam in the philanthropic world. For example, GiveWell, an organization that recommends charities working in global health and development and generally follows effective altruist principles, moves over $90 million per year to its top recommendations. Giving (...) What We Can, which encourages individuals to pledge at least 10% of their income to the most cost-effective charities, now has over 3500 members, together pledging over $1.5 billion of lifetime donations. Good Ventures is a foundation, founded by Dustin Moskovitz and Cari Tuna, that is committed to effective altruist principles; it has potential assets of $11 billion, and is distributing over $200 million each year in grants, advised by the Open Philanthropy Project. [...] GPI Working Paper No. 8-2019. (shrink)

I defend the thesis that friendship can constitutively require epistemic irrationality against a recent, forceful challenge, raised by proponents of moral and pragmatic encroachment. Defenders of the “encroachment strategy” argue that exemplary friends who are especially slow to believe that their friends have acted wrongly are simply sensitive to the high prudential or moral costs of falsely believing in their friends’ guilt. Drawing on psychological work on epistemic motivation (and in particular on the notion of “need for closure”), I propose (...) a different picture of what friendship requires in the doxastic realm. I argue that contrary to what the encroachment strategy suggests, exemplary friends’ belief formation ought not be guided by a concern with accuracy or error avoidance, but instead by a need to avoid a “specific closure” – namely, a need to avoid concluding in their friends’ guilt. I propose that exemplary friendship often generates a defeasible, doxastic obligation to exemplify such a need, despite its inherent corrupting effects on exemplary friends’ epistemic faculties. (shrink)

It is a commonplace in economics that we should disregard sunk costs. The sunk cost effect might be widespread, goes the conventional wisdom, but we would be better off if we could rid ourselves of it. In this paper, I argue against the orthodoxy by showing that the sunk cost effect is often beneficial. Drawing on discussions of related topics in dynamic choice theory, I show that, in a range of cases, being disposed to honor sunk costs allows (...) an agent to mimic a resolute chooser, someone who adopts the best plan at the outset of a decision problem and sticks with it, even when resoluteness is unfeasible. I discuss several kinds of cases in which honoring sunk costs coincides with resolute choice. (shrink)

Serverless computing has become a pivotal model in cloud computing, offering the promise of reducing operational overhead, improving cost efficiency, and enabling scalable solutions without the need to manage infrastructure. This paradigm allows developers to focus purely on application logic while abstracting away the complexities of server management. As serverless computing evolves, it is pushing the boundaries of cloud architectures by enabling dynamic scaling and cost-effective resource utilization. This paper explores the future trajectory of serverless computing, focusing on (...) its potential for cost optimization, scalability, and innovation in cloud applications. We discuss the underlying principles of serverless computing, its current advantages, challenges, and how emerging technologies such as containerization, multi-cloud architectures, and edge computing will further enhance its capabilities. Additionally, we analyze the economic model of serverless computing and its impact on cloud services pricing, as well as the security and performance considerations that must be addressed as the technology matures. The paper concludes with a forward-looking perspective on how serverless computing will evolve and continue to shape the future of cloud computing. (shrink)

We often remember in the company of others. In particular, we routinely collaborate with friends, family, or colleagues to remember shared experiences. But surprisingly, in the experimental collaborative recall paradigm, collaborative groups remember less than their potential, an effect termed collaborative inhibition. Rajaram and Pereira-Pasarin (2010) argued that the effects of collaboration on recall are determined by “pre-collaborative” factors. We studied the role of 2 pre-collaborative factors—shared encoding and group relationship—in determining the costs and benefits of collaborative recall. In Experiment (...) 1, we compared groups of strangers who encoded alone versus together, before collaborating to recall. In Experiment 2, we compared groups of friends who encoded alone versus together, before collaborating to recall. We found that shared encoding abolished collaborative inhibition in both Experiments 1 and 2. But prior relationship did not influence collaborative inhibition over and above the effects of shared encoding. Regardless of encoding condition, collaborative group recall contained fewer intrusions than nominal group recall, and these benefits continued in subsequent individual recall. Our findings demonstrate that pre-collaborative factors—specifically shared encoding—have flow-on benefits for group and individual recall amount, but not recall accuracy. We discuss these findings in terms of self- and cross-cuing in collaborative recall. (shrink)

In “Diversifying Effective Altruism’s Longshots in Animal Advocacy”, Matthew C. Halteman acknowledges the value of aspects of the EA method but considers two potential critical concerns. First, it isn’t always clear that effective altruism succeeds in doing the most good, especially where long-shots like foiling misaligned AI or producing meat without animals are concerned. Second, one might worry that investing large sums of money in long-shots like these, even if they do succeed, has the opportunity cost of failing adequately (...) to combat systemic injustice in the shorter term. This chapter explains each of these reservations and goes on to suggest some exciting new initiatives—institution-building in Black veganism, higher education, and religious communities—that could mitigate these reservations, energize and diversify the movement, and remain true to the EA method of supporting underexploited but potentially high-impact causes that produce non-fungible goods otherwise unlikely to be funded. (shrink)

Since the last ice age, when ice enveloped most of the northern continents, the earth has warmed by about five degrees. Within a century, it is likely to warm by another four or five. This revolution in our climate will have immense and mostly harmful effects on the lives of people not yet born. We are inflicting this harm on our descendants by dumping greenhouse gases into the atmosphere. We can mitigate the harm a little by taking measures to control (...) our emissions of these gases, and to adapt to the changes by, for instance, building sea walls around coastlines threatened by rising sea levels. But these measures will be very expensive, and the costs will be born by us, the present generation, whereas the benefits will come to future generations. How much should we sacrifice for the sake of the future? Economists and philosophers have independently worked on the question of our responsibility to future generations. This book brings their work together and applies it to global warming. It suggests a programme for future research on the economic and ethical issues. The book is intended for economists, and for philosophers and other social scientists who have a little knowledge of economic methods. (shrink)

The effective altruism movement aims to save lives in the most cost-effective ways. In the future, technology will allow radical life extension, and anyone who survives until that time will gain potentially indefinite life extension. Fighting aging now increases the number of people who will survive until radical life extension becomes possible. We suggest a simple model, where radical life extension is achieved in 2100, the human population is 10 billion, and life expectancy is increased by simple geroprotectors like (...) metformin or nicotinamide mononucleotide by three more years on average, so an additional 750 million people survive until “immortality”. The cost of clinical trials to prove that metformin is a real geroprotector is $65 million. In this simplified case, the price of a life saved is around eight cents, 10 000 times cheaper than saving a life from malaria by providing bed nets. However, fighting aging should not be done in place of fighting existential risks, as they are complementary causes. (shrink)

The term unemployment is defined by the International Labour Organization (2010) as the scenario where people are without jobs and have been actively looking for work within the past four weeks. Unemployment has been a bone of contention the world over but due to its high prevalence in Zimbabwe, its effects have been grossly perceived in the various age groups ranging from 18-60 as citizen’s fall far below the daily living wage in the country due to unemployment (ZimStat, 2012). The (...) effects of unemployment are severely negative and this is further worsened by the high inflation rates in Zimbabwe thus leaving unemployed citizens living in squalor or abject poverty unable to afford food, cover school and hospital expenses making unemployed youths resort to crime such as theft and prostitution. The writing below will vividly portray the costs of unemployment in Zimbabwe from an individual, social and socio-political perspective. (shrink)

It is often suggested that we are equipped with a set of cognitive tools that help us to filter out unreliable testimony. But are these tools effective? I answer this question in two steps. Firstly, I argue that they are not real-time effective. The process of filtering, which takes place simultaneously with or right after language comprehension, does not prevent a particular hearer on a particular occasion from forming beliefs based on false testimony. Secondly, I argue that they are long-term (...) effective. Some hearers sometimes detect false testimony, which increases speakers’ incentives for honesty and stabilizes the practice of human communication in which deception is risky and costly. In short, filtering prevents us from forming a large number of beliefs based on false testimony, not by turning each of us into a high-functioning polygraph but by turning the social environment of human communication into one in which such polygraphs are not required. Finally, I argue that these considerations support strong anti-reductionism about testimonial entitlement. (shrink)

This article examines a fundamental question of justice in global health. Is it ethically preferable to provide a larger number of people with cheaper treatments that are less effective (or more toxic), or to restrict treatments to a smaller group to provide a more expensive but more effective or less toxic alternative? We argue that choosing to provide less effective or more toxic interventions to a larger number of people is favored by the principles of utility, equality, and priority for (...) those worst-off. Advocates are mistaken to demand that medical care provided in low-income and middle-income countries should be the same as in high-income countries. (shrink)

Suppose you want to do as much good as possible. What should you do? According to members of the effective altruism movement—which has produced much of the thinking on this issue and counts several moral philosophers as its key protagonists—we should prioritise among the world’s problems by assessing their scale, solvability, and neglectedness. Once we’ve done this, the three top priorities, not necessarily in this order, are (1) aiding the world’s poorest people by providing life-saving medical treatments or alleviating poverty (...) itself, (2) preventing global catastrophic risks, such as those posed by nuclear war or rogue artificial intelligence, and (3) ending factory farming. These claims are both plausible and striking. If correct, they should prompt a stark revision of how we approach our altruistic activities. However, the project of determining how to do the most good—as opposed to say, whether we should do the most good—has only recently, within the last ten years, become the subject of serious academic attention. Many key claims have not yet been carefully scrutinised. This is a cause for concern: are effective altruists doing good badly? In this thesis, I critique and develop some of the latest claims about how individuals can do the most good. I do this in three areas: the value of saving lives (preventing premature deaths), how best to improve lives (making people happier during their lives), and cause prioritisation methodology (frameworks for determining which problems are the highest priorities). In each case, I raise novel theoretical considerations that, when incorporated, change the analysis. Roughly speaking, my main conclusions are (1) saving lives is not as straightforwardly good we tend to suppose, may not be good at all, and is not clearly a priority; (2) happiness can be measured through self-reports and, based on the self-reported evidence, treating mental health stands out as an overlooked problem that may be an even more cost-effective way to improve lives than alleviating poverty; (3) the cause prioritisation methodology proposed by effective altruists needs to be moderately reconceptualised and, when it is, it turns out it is not as illuminating a tool as we might have thought and hoped. (shrink)

Building information modeling can help in predicting the energy efficiency in future based on dynamic patterns obtained by visualization of data. The aim of this study was to investigate the effective parameters of energy consumption using BIM technology which can evaluate the buildings energy performance. First, three forms of general states in the building were modeled to evaluate the proposed designs in Autodesk Revit Software. Then, the main building form for energy modeling and analysis was selected. Autodesk Revit 2020 software (...) was also used to obtain the results of climate data analysis and building energy consumption index. Finally, the most optimal mode was selected by examining different energy consumption modes. The results showed that the use of building information modeling technology in adjusting the parameters affecting energy consumption can save energy cost up to 58.23% in block D. Energy cost savings for block C and the western lobby were obtained as 51.03% and 43.05%, respectively. Based on energy use intensity, energy cost savings for blocks C, D, and the western lobby were estimated as 16.67%, 16.30%, and 11%, respectively. The results of parametric studies on alternative schemes of energy use intensity optimization showed that 16.30% savings could be achieved by the base building model in a 30-year time horizon. Therefore, it was concluded that optimization of energy consumption would reduce the environmental pollutants emission and contribute to preservation and sustainability of the environment. (shrink)

By studying the effect of human resource development on strengthening the firm's total capabilities this literature review investigates the relationship between the development of human capabilities and company performance by studying the effects of human resource development on strengthening a firm’s total capabilities. To provide a thorough grasp of the subject, the review synthesizes and analyzes pertinent research articles, academic papers, and industry reports. SPSS version 22 statistical software was used for social sciences. Descriptive and inferential statistics were used to (...) analyze the questionnaire data. To attain a lasting competitive advantage, the assessment also emphasizes the significance of fostering a learning culture, adopting cutting-edge procedures, and putting in place efficient training and development programs. The main findings show that investing in the growth of human capabilities has a favorable impact on the success of the company, especially when those investments are made in conjunction with the growth of the organization's capabilities. Investing in an employee's skill and capability development boosts productivity, enhances innovation, reduces costs, fosters customer loyalty and satisfaction, and provides a company with a competitive advantage. (shrink)

Philosophy has the dubious distinction of attracting and retaining proportionally fewer women than any other field in the humanities, indeed, fewer than in all but the most resolutely male-dominated of the sciences. This short article introduces a thematic cluster that brings together five short essays that probe the reasons for and the effects of these patterns of exclusion, not just of women but of diverse peoples of all kinds in Philosophy. It summarizes some of the demographic measures of exclusion that (...) are cause for concern and identifies key themes that cross-cut these discussions: gender stereotypes and climate issues, ‘cognitive distortions’ and disciplinary norms. (shrink)

Over the last decade, philosophers of science have extensively criticized the epistemic superiority of randomized controlled trials for testing safety and effectiveness of new drugs, defending instead various forms of evidential pluralism. We argue that scientific methods in regulatory decision-making cannot be assessed in epistemic terms only: there are costs involved. Drawing on the legal distinction between rules and standards, we show that drug regulation based on evidential pluralism has much higher costs than our current RCT-based system. We analyze (...) these costs and advocate for evaluating any scheme for drug regulatory tests in terms of concrete empirical benchmarks, like the error rates of regulatory decisions. (shrink)

The central thesis of this essay is that basic income experiments are justified if their expected benefits in terms of justice exceed their expected costs in terms of justice. The benefits are a function of basic income’s effect on the level of justice attained in the context in which it is implemented, and the experiment’s impact on future policy-making. The costs comprise the sacrifices made as a result of the experiment’s interventional character, as well as the study’s opportunity costs. In (...) light of the proposed standard of justification for basic income experiments, the factors that play a role in it, and the way these interact with one another, this essay provides some practical recommendations for researchers hoping to conduct such an experiment. (shrink)

Norman Daniels’s theory of ‘accountability for reasonableness’ is an influential conception of fairness in healthcare resource allocation. Although it is widely thought that this theory provides a consistent extension of John Rawls’s general conception of justice, this paper shows that accountability for reasonableness has important points of contact with both utilitarianism and intuitionism, the main targets of Rawls’s argument. My aim is to demonstrate that its overlap with utilitarianism and intuitionism leaves accountability for reasonableness open to damaging critiques. The important (...) role that utilitarian-like cost-effectiveness calculations are allowed to play in resource allocation processes disregards the separateness of persons and is seriously unfair towards individuals whose interests are sacrificed for the sake of groups. Furthermore, the function played by intuitions in settling frequent value conflicts opens the door for sheer custom and vested interests to steer decision-making. (shrink)

Mindfulness exercises are presented as being compatible with almost any spiritual, religious or philosophical beliefs. In this paper, we argue that they in fact involve imagining and conceptualising rather striking and controversial claims about the self, and the self’s relationship to thoughts and feelings. For this reason, practising mindfulness exercises is likely to be in tension with many people’s core beliefs and values, a tension that should be treated as a downside of therapeutic interventions involving mindfulness exercises, not unlike a (...) side effect. Clients ought to be informed of these metaphysical aspects of the exercises, and mental health providers ought to take them into account in assessing which course of treatment to recommend. Given these concerns, the casual way in which mindfulness exercises are presently distributed by mental health providers to the general public is inappropriate. (shrink)

Algorithm Decision Making (ADM) systems designed to augment or automate human decision-making have the potential to produce better decisions while also freeing up human time and attention for other pursuits. For this potential to be realised, however, algorithmic decisions must be sufficiently aligned with human goals and interests. We take a Principal-Agent (P-A) approach to the questions of ADM alignment and trust. In a broad sense, ADM is beneficial if and only if human principals can trust algorithmic agents to act (...) faithfully on their behalf. This mirrors the challenge of facilitating P-A relationships among humans, but the peculiar nature of human-machine interaction also raises unique issues. The problem of asymmetric information is omnipresent but takes a different form in the context of ADM. Although the decision-making machinery of an algorithmic agent can in principle be laid bare for all to see, the sheer complexity of ADM systems based on deep learning models prevents straightforward monitoring. We draw on literature from economics and political science to argue that the problem of trust in ADM systems should be addressed at the level of institutions. Although the dyadic relationship between human principals and algorithmic agents is our ultimate concern, cooperation at this level must rest against an institutional environment which allows humans to effectively evaluate and choose among algorithmic alternatives. (shrink)

The scalar approach to negative polarity item (NPI) licensing assumes that NPIs are allowable in contexts in which the introduction of the NPI leads to proposition strengthening (e.g., Kadmon & Landman 1993, Krifka 1995, Lahiri 1997, Chierchia 2006). A straightforward processing prediction from such a theory is that NPI’s facilitate inference verification from sets to subsets. Three experiments are reported that test this proposal. In each experiment, participants evaluated whether inferences from sets to subsets were valid. Crucially, we manipulated whether (...) the premises contained an NPI. In Experiment 1, participants completed a metalinguistic reasoning task, and Experiments 2 and 3 tested reading times using a self-paced reading task. Contrary to expectations, no facilitation was observed when the NPI was present in the premise compared to when it was absent. In fact, the NPI significantly slowed down reading times in the inference region. Our results therefore favor those scalar theories that predict that the NPI is costly to process (Chierchia 2006), or other, nonscalar theories (Giannakidou 1998, Ladusaw 1992, Postal 2005, Szabolcsi 2004) that likewise predict NPI processing cost but, unlike Chierchia (2006), expect the magnitude of the processing cost to vary with the actual pragmatics of the NPI. (shrink)

en the increasing importance of human target detection in various security applications, many existing systems face challenges related to cost, accuracy, and adaptability. This work presents the development of a machine learning-based system called Human Target Detection and Acquisition, designed to assist security personnel in the detection and tracking of human targets through an adaptive and cost-effective approach. In this, standard CCTV cameras provide visual data, which intelligent algorithms process to identify and track human targets, even in challenging (...) conditions. The system offers user-specific dashboards: administrators can monitor detections and adjust system parameters, while security personnel receive real-time alerts and tracking information. Additionally, it supports continuous improvement through its machine learning capabilities, allowing for enhanced performance over time without the need for hardware upgrades. The architecture of the platform relies on TensorFlow, OpenCV, and database integration for efficient handling of video processing and data management. Initial testing suggests that it can provide accurate and reliable human target detection while significantly reducing costs compared to hardwareintensive solutions. Future work includes expanding the system's capabilities to handle multiple camera feeds simultaneously and implementing more advanced tracking algorithms. (shrink)

After the terrorist attacks of September 11, 2001, most legacy airlines filed for bankruptcy protection as a way to cut costs drastically, with the exception of American Airlines. This article applies the Principle of Double-Effect to the act of filing for Chapter 11 bankruptcy protection for reasons of management strategy, in particular, cost-cutting. It argues that the Principle can be a useful tool for discerning the ethicality of the action, and demonstrates the usefulness by proposing three double-effect criteria that, (...) when fulfilled, argues for the ethical justifiability the action in question. (shrink)

Three different types of low cost soil amendments, namely, EDTA, elemental S and N-fertilizer, were investigated with Vetiver grass, Vetiveria zizanioides (Linn.) Nash growing under highly mixed Cd–Pb contamination conditions. A significant increase (p < 0.05) in Cd and Pb accumulation were recorded in the shoots of all EDTA and N-fertilizer assisted treatments. The accumulation of Cd in 25 mmol EDTA/kg soil and 300 mmol N/kg soil showed relatively higher translocation factor (1.72 and 2.15) and percentage metal efficacy (63.25 (...) % and 68.22 %), respectively, compared to other treatments. However, it was observed that the increased application of elemental S may inhibit the availability of Pb translocation from soil-to-root and root-to-shoot. The study suggests that viable application of 25 mmol EDTA/kg, 300 mmol N/kg and 20 mmol S/kg soil have the potential to be used for soil amendment with Vetiver grass growing under contaminated mixed Cd–Pb soil conditions. (shrink)

Introduction: Metabolic syndrome (MetS) is an endocrinopathy with a combination of cardiovascular and metabolic compounds. In our study, it is expected to obtain results showing that mortality rate, loss of workforce, and treatment costs due to disorders caused by MetS can be reduced by physical exercise. The study analyses the effect of moderate exercise training on this Apolipoprotein E (ApoE), Apolipoprotein CIII (ApoCIII), adiponectin, resistin, interleukin-6 (IL-6), and tumor necrosis factor-alpha (TNF-α) which are thought to have a role in the (...) deterioration of glucose and lipid metabolism in MetS. -/- Methods: This clinical experimental study consists of 3 groups. The MetS+E (n=24) group, which included the participants who agreed to participate in the exercise program in addition to their medical treatment, the MetS (n=23) group who received medical treatment but did not exercise, and the Control+E (n=25) group, which included healthy volunteers who had the same protocol as MetS+E ApoE, ApoCIII, adiponectin, resistin, IL-6, and TNF-α plasma levels of all participants were measured both at the beginning of the study and at the end of the protocol. -/- Results: At the end of the study we reached the following findings; insulin and Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) levels decreased in exercise groups (p=0,03). ApoCIII levels increased in all the groups after the study (p<0,01). IL-6 levels decreased in MetS+E (p<0,01) and Control+E (p=0,037). ApoE (p=0,01) and TNF-α (p=0,037) levels decreased only in the Control+E group. -/- Conclusion: Training showed metabolic, anti-inflammatory, and physical improvements independent of ApoE and ApoCIII in those with MetS. (shrink)

Clinical practice is a part of the integral learning method in nursing education. The use of information and communication technologies (ICT) in clinical learning is highly encouraged among nursing students to support evidence-based nursing and student-centered learning. Through the information-processing lens of the mindsponge theory, this study views performance expectancy (or perceived usefulness) and effort expectancy (or perceived ease of use) as results of subjective benefit and cost judgments determining the students’ ICT using intention for supporting clinical learning, respectively. (...) Therefore, the study examines whether effort expectancy moderates the relationship between performance expectancy and the intention to use ICT among Moroccan nursing students. The Bayesian Mindsponge Framework (BMF) analytics was employed on a dataset of 702 Moroccan nursing students. We found that nursing students’ performance expectancy is positively associated with the intention to adopt ICT and social media, while effort expectancy positively moderates this relationship. Moreover, the model with effort expectancy as the moderator was discovered to have a significantly larger weight than the model with effort expectancy as the direct predictor, validating our information-processing reasoning. This study provides a new perspective on the interplay between the benefit and cost perceptions of ICT use to support clinical learning methods in nursing education. Moreover, given the limited education resources, especially in developing countries like Morocco, we recommend nursing education and training prioritize communicating the benefits of ICTs and social media over ease of use. Doing so would help improve the effectiveness and efficiency of nursing education and training while lowering costs. (shrink)

I argue that, in the currently gender-unjust societies a basic income would not advance feminist goals. To assess the impact of a social policy on gender justice I propose the following criterion: a society is gender-just when the costs of engaging in a lifestyle characterized by gender-symmetry (in both the domestic and public spheres) are, for both men and women, smaller or equal to the costs of engaging in a gender-asymmetrical lifestyle. For a significant number of women, a basic income (...) would increase the costs of leading gender-symmetrical lifestyles because it would make it easier for both women and men to pursue gender-unjust preferences. I argue that preference satisfaction is distinct from justice. I conclude by showing why a basic income would lead to further privatisation of caregiving, and I outline the negative effects this would have on women. (shrink)

Tightened border controls, agile health departments, tech platforms, and a hand-washing song that went viral have added up to a frugal but highly effective response to the threat of COVID-19. The country's success provides a model that other developing and emerging economies should follow.

The study aimed to measure the effect of Crowdfunding financing on entrepreneurship aspirations in Arabic region. Population consists of members in (15) Crowdfunding Arabic platforms which are working with all models and online at (2018). Descriptive approach and a questionnaire used as a tool for this research. The results showed that Crowdfunding financing effect positively on entrepreneurship aspirations, Crowdfunding used mostly to finance small business or microfinance and charity. Add to that, Crowdfunding leads to financial efficiency and costs reduction, more (...) flexible payments methods and more opportunities for entrepreneurs. The study recommended the importance of entrepreneurship culture and its role in promoting entrepreneurs, the effect off Fintech and various e-banking and e-payments methods, and the need of more interest in innovation and creativity. (shrink)

This thesis consists of three papers examining determinants and implications of related party transactions (RPTs) in Vietnam, a transitional economy in South East Asia with features of concentrated state ownership and weak minority investor protection. Specifically, these papers describe RPTs and examine (i) the association between RPTs and state ownership, (ii) the association between the cost of corporate debt and RPTs, and the moderating role of state ownership on the association between the cost of debt and RPTs, and (...) (iii) the association between corporate tax avoidance and RPTs, and the moderating role of state ownership on this potential association. The first paper describes the nature and extent of RPTs in Vietnamese listed firms and examines the association between RPTs and state ownership. The results from this paper demonstrate that related party transactions are prevalent in Vietnam. Findings show that the presence of state ownership is related to a lower extent of RPTs. However, among firms with state ownership, the extent of RPTs is positively associated with percentage of state ownership. The second paper reveals that the cost of debt is higher in firms having a higher level of RPTs, implying that RPTs are viewed as a potential risk to firms from the point of view of lenders. However, the presence of state ownership can reduce the effect of RPTs on the cost of debt. The third paper provides evidence that firms with RPTs demonstrate more tax avoidance than their counterparts without RPTs. Further, among firms with RPTs, firms with a higher extent of related net credit and related sales are found to exhibit even higher levels of tax avoidance. However, the association between tax avoidance and RPTs is moderated by the presence of state ownership. Finally, in firms with RPTs, the presence of state ownership reduces tax avoidance measured by effective tax rates. (shrink)

What endogenous factors contribute to minority (Red Queen) or majority (Red King) domination under conditions of coercive bargaining? We build on previous work demonstrating minority disadvantage in non-coercive bargaining games to show that under neutral initial conditions, majorities are advantaged in high conflict situations, and minorities are advantaged in low conflict games. These effects are a function of the relationship between (1) relative proportions of the majority and minority groups and (2) costs of conflict. Although both Red King and Red (...) Queen effects can occur, we further show that agents’ increased initial propensity toward conflict advantages majorities. (shrink)

In today's digital landscape, small-scale companies encounter significant challenges in safeguarding their sensitive data against threats due to limited financial resources. Traditional data loss prevention solutions often come with hefty price tags, rendering them inaccessible to such organizations. Our project addresses this issue by designing a user-friendly script that can be easily deployed and managed by non- experts, lowering the barrier to entry for enhancing data security. Our project proposes an innovative approach leveraging PowerShell and ADMX to develop a (...) class='Hi'>cost- effective data loss prevention script. This script aims to fortify the security of employee systems without necessitating expensive licenses, offering small- scale companies a practical and affordable solution to enhance their data security posture. By implementing a preventative approach to data loss prevention, small- scale companies can mitigate risks more effectively and avoid the potentially catastrophic consequences of data breaches. This shift in mindset from damage control to risk prevention reflects a strategic investment in the long-term resilience and viability of small businesses in today's increasingly digitized economy. (shrink)