Measurement is said to be the basis of exact sciences as the process of assigning numbers to matter (things or their attributes), thus making it possible to apply the mathematically formulated laws of nature to the empirical world. Mathematics and empiria are best accorded to each other in laboratory experiments which function as what Nancy Cartwright calls nomological machine: an arrangement generating (mathematical) regularities. On the basis of accounts of measurement errors and uncertainties, I will argue for two claims: (...) 1) Both fundamental laws of physics, corresponding to ideal nomological machine, and phenomenological laws, corresponding to material nomological machine, lie, being highly idealised relative to the empirical reality; and also laboratory measurement data do not describe properties inherent to the world independently of human understanding of it. 2) Therefore the naive, representational view of measurement and experimentation should be replaced with a more pragmatic or practice-based view. (shrink)

The framework presented by Bayefsky and Berkman is based on having clear and accurate genetic information to offer parents, for them to either decide to prepare for birth or to terminate the...

This paper provides an overview, prepared by Robert Castel himself, of his last book, La montée des incertitudes. It describes how a new regime of capitalism has weakened and sometimes destroyed forms of social organization that had been established at the end of industrial capitalism. It discloses three main ongoing transformations: Labour market deregulations – in the sense of questioning both the right to work and the employment statute, and advances in insecurity; The reconfiguration of protective measures – in the (...) sense of the restriction of rights and a rapid rise in social insecurity; The paths of disaffiliation – or how it is that some categories of individuals find themselves destabilized and threatened with social invalidation in this new conjuncture. (shrink)

A fuzzy predictive fault-tolerant control scheme is proposed for a wide class of discrete-time nonlinear systems with uncertainties, interval time-varying delays, and partial actuator failures as well as unknown disturbances, in which the main opinions focus on the relevant theory of FPFTC based on Takagi-Sugeno fuzzy model description of these systems. The T-S fuzzy model represents the discrete-time nonlinear system in the form of the discrete uncertain time-varying delay state space, which is firstly constructed by a set of local (...) linear models and the nonlinear membership functions. The novel improved state space model can be further obtained by extending the output tracking error to the constructed model. Then the fuzzy predictive fault-tolerant control law based on this extended model is designed, which can increase more control degrees of freedom. Utilizing Lyapunov-Krasovskill theory, less conservative delay-range-dependent stable conditions in terms of linear matrix inequality constraints are given to ensure the asymptotically robust stability of closed-loop system. Meanwhile, the optimized cost function and H-infinity performance index are introduced to the stable conditions to guarantee the robust performance and antidisturbance capability. The simulation results on the temperature control of a strong nonlinear continuous stirred tank reactor show that the proposed control scheme is feasible and effective. (shrink)

In this paper, the stability of switched neural networks with interval parameter uncertainties and time delays is investigated. First, the conditions for the existence and uniqueness of the equilibrium point of the system are discussed. Second, the average dwell time approach and M-matrix property are employed to obtain conditions to ensure the globally exponential stability of the delayed SNNs under constrained switching. Third, by resorting to inequality technique and the idea of vector Lyapunov function, sufficient condition to ensure the (...) robust exponential stability of the delayed SNNs under arbitrary switching is derived. The form of the constructed Lyapunov functions is simple, which has certain commonality in studying delayed SNNs, and the proposed results not only are explicit but also reveal the relationship between the constrained switching and the arbitrary switching of the SNNs. Finally, two numerical examples are presented to illustrate the effectiveness and less conservativeness of the main results compared with the existing literature. (shrink)

A robust adaptive fuzzy nonlinear controller based on dynamic surface and integral sliding mode control strategy is proposed to realize trajectory tracking for a class of quadrotor UAVs. In this study, the composite factors including parametric uncertainties and external disturbances are added to controller design, which make it more realistic. The quadrotor model is divided into two subsystems of attitude and position that make the control design become feasible. The main contributions of the proposed ADSISMC strategy are as follows: (...) The combination of dynamic surface and integral sliding mode makes the system always in sliding stage by finding the appropriate initial position compared with the common sliding mode, and the complexity of explosion in backstepping method is eliminated. By introducing the fuzzy system, the unknown functions and uncertainties can be approximated which significantly improves the robustness and the tracking performance. The switching control strategy is utilized to compensate for the errors between estimated and ideal inputs; the tracking performance of the whole system has been significantly improved. The simulation results show the effectiveness of the proposed control method. (shrink)

This chapter examines two approaches to climate policy: expected utility calculations and a precautionary approach. The former provides the framework for attempts to calculate the social cost of carbon. The latter approach has provided the guiding principle for the United Nations Conference of Parties from the 1992 Rio Declaration to the Paris Agreement. The chapter argues that the deep uncertainties concerning the climate system and climate damages make the exercise of trying to calculate a well-supported value for the SCC (...) impossible. Moreover, cost-benefit analyses are blind to important moral dimensions of the climate problem. Yet it is an open question to what extent an alternative, precautionary approach can result in specific policy recommendations such as the temperature targets of the Paris agreement. (shrink)

Summary The term empathy has become a linguistic commonplace in everyday communication as well as in interdisciplinary research. The results of the research questions, raised in the last hundred (and more) years, coming from different areas, such as aesthetics, psychology, neurosciences and literary theory, lack in fact a clear concept of empathy. Not surprisingly, a recent paper has identified up to 43 distinct definitions of empathy in academic publications. By reconstructing the main research lines on empathy, our paper highlights the (...) reasons for this conceptual inadequacy and the deficiencies in the theorization of empathy that create misleading interpretations thereof. Along the line connecting Plato’s insights on empathic experiences to the present neuroscientific experiments, a broad spectrum of issues is deployed for which “empathy” functions as an umbrella term covering a net of categorical relationships – projection, transfer, association, expression, animation, anthropomorphization, vivification, fusion, and sympathy – that only partially overlap. Our paper therefore recommends that “empathy” should not be assumed as a self-evident notion but instead preliminarily clarified in its definition every time we decide to have recourse to it. (shrink)

This paper develops an adaptive fixed-time trajectory tracking controller of an underactuated hovercraft with a prescribed performance in the presence of model uncertainties and unknown time-varying environment disturbances. It is the first time that the proposed method is applied to the motion control of the hovercraft. To begin with, based on the hovercraft's four degrees of freedom model, the virtual control laws are designed using an error transforming function and the fixed-time stability theory to guarantee that the position tracking (...) errors are constrained within the prescribed convergence rates and minimum overshoot. In addition, by combining the Lyapunov direct method and the adaptive radial basis function neural network, the actual control laws are designed to ensure that the velocity tracking errors converge to a small region containing zero while handling model uncertainties and external disturbances effectively. Finally, all tracking errors of the closed-loop system are uniformly ultimately bounded and fixed-time convergent. Results from a comparative simulation study verify the effectiveness and advantage of the proposed method. (shrink)

This paper investigates the antidisturbance formation control problem for a class of cluster aerospace unmanned systems suffering from multisource high-dynamic uncertainties. Firstly, to estimate and compensate the uncertainties existing in CAUS coordinate dynamics, an adaptive antidisturbance formation control law, which is combined by a robust adaptive control law and the second order disturbance observer, has been designed. Secondly, aiming at the adverse influences caused by the nonlinear time-varying nonlinearities existing in the formation flight dynamics, the radial basis function (...) neural network is introduced. Furthermore, considering the rapidly varying characteristics of the aforementioned formation flight nonlinearities, a novel board RBFNN has been constructed and utilized to improve the approximation and compensation performance. In virtue of the fusing of the B-RBFNN and the second-order disturbance observer-based adaptive formation control law, the rapid response rate and the higher control accuracy of the formation control system can be achieved. As a result, a novel B-RBFNN-based intelligence adaptive antidisturbance formation control algorithm has been established for CAUS trajectory coordination and formation flight. Numerical simulation results are proposed to illustrate the effectiveness and advantages of the proposed B-RBFNN-based intelligent adaptive formation control method for the CAUS. (shrink)

This book shows how participatory research can provide tools to overcome the current epistemic and ethical challenges faced by traditional scientific approaches. Ever since Funtowicz and Ravetz proposed the notion of post-normal science, there has been a growing awareness of the limits of a form of knowledge production based only on the traditional scientific peer communities that excludes other social groups affected by its results and applications. The growing uncertainty and complexity posed by socio-ecological issues in the interactions between science, (...) society and decision making has revealed the importance of a social quality control over crucial decisions that rely on scientific research and the necessary democratization of knowledge to tackle sustainability and health concerns. Departing from a reinterpretation of Paulo Freire’s Pedagogy of the Oppressed, this volume shows how participatory research can contribute to reconnect science and society by extending peer communities through the incorporation of different forms of knowledge and different social actors into research projects. To do so, the author presents a critical review of different participatory research approaches, identifying the elements that distinguish a true participatory research from a traditional one, and proposing a taxonomy of the various participatory methodologies. The volume also analyzes a diversity of social practices and understandings that deal with an ecology of knowledge and its systemic characteristics. Moreover, it demonstrates that uncertainties can be integrated in dialogical processes that open possibilities for a myriad of outcomes. Participatory Research in the Post-Normal Age - Unsustainability and Uncertainties to Rethink Paulo Freire's Pedagogy of the Oppressed will be of interest to researchers working with participatory approaches in different fields like health, environmental sciences, and education, as well as to practitioners of action research concerned with scientific dilemmas and counter-hegemonic strategies. (shrink)

The kilogram prototype is an object manufactured in late nineteenth century to serve as the standard unit of mass worldwide. Since then, the kilogram definition has been determined by this unique object, making it a peculiar case in metrological studies. However, after realizing that the prototype’s mass was unexpectedly changing, scientists are seeking a new way to define the kilogram in pure mathematical terms.

We deal with the design problem of nonfragile state estimator for discrete-time genetic regulatory networks with time-varying delays and randomly occurring uncertainties. In particular, the norm-bounded uncertainties enter into the GRNs in random ways in order to reflect the characteristic of the modelling errors, and the so-called randomly occurring uncertainties are characterized by certain mutually independent random variables obeying the Bernoulli distribution. The focus of the paper is on developing a new nonfragile state estimation method to estimate (...) the concentrations of the mRNA and the protein for considered uncertain delayed GRNs, where the randomly occurring estimator gain perturbations are allowed. By constructing a Lyapunov-Krasovskii functional, a delay-dependent criterion is obtained in terms of linear matrix inequalities by properly using the discrete-time Wirtinger-based inequality and reciprocally convex combination approach as well as the free-weighting matrix method. It is shown that the proposed method ensures that the estimation error dynamics is globally asymptotically stable and the desired estimator parameter is designed via the solutions to certain LMIs. Finally, we provide two numerical examples to illustrate the feasibility and validity of the proposed estimation results. (shrink)

This paper explores the role of existential vulnerability in the experience of personal identity and how identity is found and created. Existential vulnerabilities mark a boundary between what humans can bring about willfully or manipulate to their advantage and what is resistant to such actions. These vulnerabilities have their origin, on an ontological level, in fundamental conditions of human existence. At the same time, they have implications on a psychological level when it comes to self-experience and identity formation. Narrative and (...) value-based identity depend on how a person relates to finitude and the ambiguous side of lived experience. Relational identity depends on how a person relates to existential aloneness and the fact that the meaning and value of our actions are partly out of our control; they are always also dependent on other people’s responses to us. Bodily identity makes us feel continuous and real, but at the same time vulnerable to death and the gaze and actions of others. Being ‘thrown’ into an arbitrary life context is also a form of existential vulnerability. Authentic psychological identities can develop by giving meaning to these circumstances and balancing acceptance of existential vulnerability with the courage to make choices and act. (shrink)

There is a strong presumption in favour of the maintenance of life. Given sufficient evidence, it can be rebutted. But the epistemic uncertainties about the best interests of patients in prolonged disorders of consciousness ("PDOC") and the wishes that they should be presumed to have are such that, in most PDOC cases, the presumption cannot be rebutted. It is conventional and wrong (or at least unsupported by the evidence) to assume that PDOC patients have no interest in continued existence. (...) Treatment withdrawal/continuation decisions should focus on the patient as he or she actually is, and should not unjustifiably assume that the premorbid patient continues to exist unchanged, and that the actual patient has the same interests as the premorbid patient and would make the same decisions in relation to treatment as the premorbid patient would have done. (shrink)

System security is essential for the operation of the island microgrid. However, the system security is generally threatened due to the presence of physical uncertainties and cyber attacks. In this article, a novel sliding mode load control strategy is proposed for the microgrid to mitigate cyber attacks and physical uncertainties. Firstly, a high-order disturbance observer is designed to estimate the unmeasurable factors in the microgrid. Secondly, a HODO-based sliding mode control strategy is proposed where the estimated value observed (...) by the HODO is applied to the sliding mode surface and control law. It can better guarantee the security of the isolated microgrid. Then, the stability of the HODO-based SMC is demonstrated by Lyapunov stability theory. Finally, simulation results show that the proposed control strategy has excellent control performance. (shrink)

The paper is concerned with the existence of objective uncertainties. What would it take for objective uncertainties to exist, and what would be the consequences for our understanding of the world we live in? We approach these questions by considering two common theories on how we are to understand the being of propensities and how it pertains to possible outcomes that remain unmanifested. It is argued that both or these theories should be rejected, and be replaced with a (...) theory we call unrestricted actualism according to which the possible outcomes of propensities are denizens of the actual world. (shrink)

Tendencies and efforts have shifted from genome description, DNA mapping, and DNA sequencing to active and profound re-programming, repairing life on genetic and molecular levels in some parts of contemporary life science research. Mirroring and materializing this atmosphere, various life engineering technologies have been used and established in many areas of life sciences in the last decades. A contemporary progressive example of one such technology is DNA editing. Novel developments related to reproductive technologies, particularly embryo editing, prenatal human life engineering, (...) and germline engineering need to be analyzed against the broader social and structural background. The crucial analytical scope for this paper is a specific field: the life-editing technologies used in reproductive medicine and performed experimentally on viable human embryos, particularly CRISPR/cas9 technology. This text argues that germline editing technologies, as a representative part of contemporary biomedicine, are merging ideas of treatment and enhancement to avoid future risks. Using this specific life manipulation of embryos and gametes, the text analyzes these processes within the concept of power over life—biopower and the specific governing rationality that imagines, classifies, and governs contemporary societies. The text specifically focuses on the potential to create, define, and manage future risks and uncertainties related to prenatal life. (shrink)

Localization Wireless Sensor Networks (WSN) represent a research topic with increasing interest due to their numerous applications. However, the viability of these systems is compromised by the attained localization uncertainties once implemented, since the network performance is highly dependent on the sensors location. The Node Location Problem (NLP) aims to obtain the optimal distribution of sensors for a particular environment, a problem already categorized as NP-Hard. Furthermore, localization WSN usually perform a sensor selection for determining which nodes are to (...) be utilized for maximizing the achieved accuracy. This problem, defined as the Sensor Selection Problem (SSP), has also been categorized as NP-Hard. While different metaheuristics have been proposed for attaining a near optimal solution in both problems, no approach has considered the two problems simultaneously, thus resulting in suboptimal solutions since the SSP is biased by the actual node distribution once deployed. In this paper, a combined approach of both problems simultaneously is proposed, thus considering the SSP within the NLP. Furthermore, a novel metaheuristic combining the Black Widow Optimization (BWO) algorithm and the Variable Neighbourhood Descent Chains (VND-Chains) local search, denominated as BWO-VND-Chains, is particularly devised for the first time in the author’s best knowledge for the NLP, resulting in a more efficient and robust optimization technique. Finally, a comparison of different metaheuristic algorithms is proposed over an actual urban scenario, considering different sensor selection criteria in order to attain the best methodology and selection technique. Results show that the newly devised algorithm with the SSP criteria optimization achieves mean localization uncertainties up to 19.66 % lower than traditional methodologies. (shrink)

The dominance of the modern concept of risk and calculability is challenged by and has to be distinguished from “manufactured uncertainties.” Typically today, conflict and controversy flare up around this particular type of new manufactured risk. Neither natural disasters – threats – coming from the outside and thus attributable to God or nature have this effect any longer. Nor do the specific calculable uncertainties – “risks” – which are determinable with actuarial precision interms of a probability calculus backed (...) up by insurance and monetary compensation fall in this category. At the centre of attention today, by contrast, are “manufactured uncertainties.” They are distinguished by the fact that they are dependent on human decisions, created by society itself, immanent to society and thus non-externalizable, collectively imposed and thus individually unavoidable. (shrink)

In this paper, we want to take a critical stance towards Tsou’s recent proposal that a neuro-oriented version of the homeostatic property cluster kind model (MPCK) should be an ideal for the DSM. Our strategy will be to discuss the creation of the Social Pragmatic Communication Disorder (SPCD) in DSM-5 to show the limits of MPCK as an ideal for the next DSM deliberations over a set of diagnoses revisions. We argue that an ideal model for the DSM should address (...) the issues of deep uncertainties and pragmatic considerations to be useful in this context. (shrink)

In the insurance literature, it is often argued that private markets can provide insurance against ‘risks’ but not against ‘uncertainties’ in the sense of Knight ([1921]) or Keynes ([1921]). This claim is at odds with the standard economic model of risk exchange which, in assuming that decision-makers are always guided by point-valued subjective probabilities, predicts that all uncertainties can, in theory, be insured. Supporters of the standard model argue that the insuring of highly idiosyncratic risks by Lloyd's of (...) London proves that this is so even in practice. The purpose of this article is to show that Bruno de Finetti, famous as one of the three founding fathers of the subjective approach to probability assumed by the standard model, actually made a theoretical case for uncertainty within the subjectivist approach. We draw on empirical evidence from the practice of underwriters to show how this case may help explain the reluctance of insurers to cover highly uncertain contingencies. (shrink)

Experimenters sometimes insist that it is unwise to examine data before determining how to analyze them, as it creates the potential for biased results. I explore the rationale behind this methodological guideline from the standpoint of an error statistical theory of evidence, and I discuss a method of evaluating evidence in some contexts when this predesignation rule has been violated. I illustrate the problem of potential bias, and the method by which it may be addressed, with an example from the (...) search for the top quark. A point in favor of the error statistical theory is its ability, demonstrated here, to explicate such methodological problems and suggest solutions, within the framework of an objective theory of evidence. (shrink)

This study presents the fundamental concepts and technical details of a U-model-based control system design framework, including U-model realisation from classic model sets, control system design procedures, and simulated showcase examples. Consequently, the framework provides readers with clear understandings and practical skills for further research expansion and applications. In contrast to the classic model-based design and model-free design methodologies, this model-independent design takes two parallel formations: it designs an invariant virtual controller with a specified closed-loop transfer function in a feedback (...) control loop and it determines the real controller output by resolving the inverse of the plant U-model. It should be noted that this U-control provides a universal control system design platform for many existing linear/nonlinear and polynomial/state-space models and it complements many existing design approaches. Simulation studies are used as examples to demonstrate the analytically developed formulations and guideline for potential applications. (shrink)

An objective, comprehensive treatment of the world's energy situation assesses the major trends in energy consumption across the globe while examining the potential of wind, solar, hydroenergy, and biomass energy.

External auditors owe a professional duty to the company''s stockholders and to society in general. However their remuneration is determined by management. The resulting conflicts of interest are particularly acute in distressed companies where the auditors are required to disclose uncertainties regarding future survival. We focus on the consequentialist self-fulfilling prophecy argument whereby auditors may fail to disclose such uncertainties due to the belief that the disclosure itself would precipitate the company''s bankruptcy. We find no empirical support for (...) such beliefs for a sample of distressed U.K. companies with audit reports published between 1986 and 1993. Companies whose auditors disclose going concern uncertainties are no more likely to fail than those without such disclosures; indeed three out of four reports containing going concern uncertaintiesare not followed by failure before publication of a subsequent set of accounts. Instead we find that it is the degree of financial distress that drives both bankruptcy and the auditor''s going concern disclosure rather than that the disclosure itself causes failure. Belief in the self-fulfilling prophecy effect nevertheless persists, and this despite the profession''s clear ethical guidelines that audit opinions should provide an objectively true and fair view, paying no regard to possible consequences. It may be that the continued attractiveness of the self-fulfilling prophecy belief is due to its providing a means of resolving intense auditor/management conflict in what is a particularly complex decision situation. We argue that, if the profession''s clear ethical guidelines are to play a greater role in this area, issues such as enforcement will need to be addressed. (shrink)

BackgroundThe complexities of the workplace environment in the downstream oil and gas industry contain several safety-risk factors. In particular, instituting stringent safety standards and management procedures are considered insufficient to address workplace safety risks. Most accident cases attribute to unsafe actions and human behaviors on the job, which raises serious concerns for safety professionals from physical to psychological particularly when the world is facing a life-threatening Pandemic situation, i.e., COVID-19. It is imperative to re-examine the safety management of facilities and (...) employees’ well-being in the downstream oil and gas production sector to establish a sustainable governance system. Understanding the inherent factors better that contribute to safety behavior management could significantly improve workplace safety features.ObjectiveThis study investigates employees’ safety behavior management model for the downstream oil and gas industry to consolidate the safety, health and wellbeing of employees in times of COVID-19.MethodsNominal Group Technique was first employed to screen primary behavioral factors from 10 workplace health and safety experts from Malaysia’s downstream oil and gas industry. Consequently, 18 significant factors were identified for further inquiry. Next, the interpretive structural modeling technique was used to ascertain the complex interrelationships between these factors and proposed a Safety Behavioral Management Model for cleaner production.ResultsThis model shows that management commitment, employee knowledge and training, leadership, and regulations contribute significantly to several latent factors. Our findings support the Social Cognitive Theory, where employees, their environment, and their behaviors are related reciprocally.ConclusionIt is postulated that identifying safety factors and utilizing the proposed model guides various stakeholder groups in this industry, including practitioners and policymakers, for achieving long-term sustainability. (shrink)

It is an honor and a pleasure to take over editing responsibilities for Education and Culture from Jessica Heybach. We want to thank her for her service to the journal and to the John Dewey Society (JDS) and for her sage leadership, especially in a time when university budgets and support are shrinking, and it is harder and harder to get people to step up and do the labor needed to keep academic fields afloat. Working as a journal editor used (...) to be an honor that came with institutional support and course releases in many universities and involved a competitive application process to assume the role, but the reality is that now way too many scholars are overextended, underresourced, and undersupported. Finding... Read More. (shrink)

Volume 24, Issue 7-8, November - December 2019, Page 882-884.

It is now more than a decade since the release of the Royal Society and Royal Academy of Engineering’s seminal report on nanosciences and nanotechnologies. The report, for the first time, brought together the spectrum of scientific and societal issues underpinning the emergence of the technology. In articulating 21 recommendations, the RA/RAEng provided the United Kingdom Government—and others—with an agenda on how they could, and should, deal with the disparate aspects of the technology. The report provides a baseline to measure (...) progress against. By focusing on the eight recommendations that dealt specifically with regulation and governance, I reflect on the extent, and nature, of this progress; identify key actors in shaping the evolving governance framework; and, importantly, distinguish areas where progress appears to have lagged. (shrink)