Many phenomena in the natural world are complex, so scientists study them through simplified and idealised models. Philosophers of science have sought to explain how these models relate to the world. On most accounts, models do not represent the world directly, but through target systems. However, our knowledge of target systems is incomplete. First, what is the process by which target systems come about? Second, what types of entity are they? I argue that the (...) basic conception of target systems, on which other conceptions depend, is as parts of the world. I outline the process of target system specification and show that it is a crucial step in modelling. I also develop an account of target system evaluation, based on aptness. Paying close attention to target system specification and evaluation can help scientists minimise the frequency and extent of mistakes, when they are using models to investigate phenomena in complex real-world systems. (shrink)

In this book, Leonard Talmy proposes that a single linguistic/cognitive system, targeting, underlies two domains of linguistic reference, those termed anaphora and deixis. Talmy argues that language engages the same cognitive system to single out referents whether they are speech-internal or speech-external. Talmy explains the targeting system in this way: as a speaker communicates with a hearer, her attention is on an object to which she wishes to refer; this is her target. To get the hearer's attention on it (...) as well, she uses a trigger -- a word such as this, that, here, there, or now. The trigger initiates a three-stage process in the hearer: he seeks cues of ten distinct categories; uses these cues to determine the target; and then maps the concept of the target gleaned from the cues back onto the trigger to integrate it into the speaker's sentence, achieving comprehension. The whole interaction, Talmy explains, rests on a coordination of the speaker's and hearer's cognitive processing. The process is the same whether the referent is anaphoric or deictic. Talmy presents and analyzes the ten categories of cues, and examines sequences in targeting, including the steps by which interaction leads to joint attention. A glossary defines the new terms in the argument. (shrink)

Journal Name: Cognitive Linguistics Issue: Ahead of print.

In this volume the author tackles this problem in a rigorous analysis which begins with the general dynamics of living systems and leads the reader step-by-step ...

Selective protein degradation maintains cellular homeostasis, but this process is disrupted in many diseases. Targeted protein degradation (TPD) approaches, built upon existing cellular mechanisms, are promising methods for therapeutically regulating protein levels. Here, we review the diverse palette of tools that are now available for doing so throughout the gene expression pathway and in specific cellular compartments. These include methods for directly removing targeted proteins via the ubiquitin proteasome system with proteolysis targeting chimeras (PROTACs) or dephosphorylation targeting chimeras (DEPTACs). Similar (...) effects can also be achieved through the lysosomal system with autophagy‐targeting chimeras (AUTACs), autophagosome tethering compounds (ATTECs), and lysosome targeting chimeras (LYTACs). Other methods act upstream to degrade RNAs (ribonuclease targeting chimeras; RIBOTACs) or transcription factors (transcription factor targeting chimeras; TRAFTACs), offering control throughout the gene expression process. We highlight the evolution and function of these methods and discuss their clinical implications in diverse disease contexts. (shrink)

There is an increasing interest in how to organize operations carried out by multiteam systems. Large MTS typically operate with a dedicated integration team, responsible for coordinating the operation. We report a study of a military multiteam system that prosecute time-sensitive targets. We asked whether and how the integration team’s efficiency depends on its communication setting. Specifically, we studied how a co-located vs. a distributed communications setting influenced the shared situation awareness and whether the shared situation awareness again influenced (...) the outcome of the decision processes. We found that performance fell when the integration team shifted from a co-located to a distributed setting. The fall in performance seemed to be mediated by a corresponding fall in situation awareness. Moreover, while the performance improved for each run in the co-located setting, we did not see such learning in the distributed setting. Qualitative observations revealed that misunderstandings lasted longer in a distributed configuration than in a co-located setting. We found that situation awareness at level 3 was the only level of situation awareness significant for predicting all dimensions of performance. Implications for theory, research, and practice are discussed. (shrink)

Agricultural water management provides the basic support and guarantee for targeted poverty alleviation. This paper presents a 3E + 1 evaluation model for the performance of agricultural water management in targeted poverty alleviation based on 3E theory, which is more scientific, reasonable, and reliable. On this basis, an evaluation index system including three levels of indicators is designed, and the weight of each evaluation index and performance evaluation model is determined. A case study of a county in the old district (...) of Maoshan in Jiangsu province was conducted using the proposed evaluation theory and methods. The results show that the overall performance of agricultural water management for targeted poverty alleviation in this area was good but needs more improvement in innovation. The evaluation results are roughly consistent with the evaluations of higher authorities, experts, and scholars, which proves that the evaluation system is scientific and reasonable. (shrink)

The immune system has evolved to detect and remove foreign or non‐self molecules from the body. To perform this task, the system has coupled together specific recognition with non‐specific effector mechanisms in at least two distinct fashions, as outlined in this review.

As Nelson Goodman highlighted, there are two main senses of “abstract” that can be found in discussions about abstract art. On the one hand, a representation is abstract if it leaves out certain features of its target. On the other hand, something can be abstract to the extent that it does not represent a concrete subject. The first sense of “abstract” is well-known in philosophy of science. For example, philosophers discuss mathematical models of physical, biological, and economic systems (...) as being abstract in this sense. However, it is the second sense that dominates discussions of abstract art in aesthetics. For example, abstract art was (and is) considered revolutionary precisely for being non-figurative. Through an analysis of artists including Kandinsky, Malevich, and Mondrian, we develop a reading of this second sense, which we call “generative abstraction,” as opposed to “subtractive” abstraction. Generative abstraction is a process in which a new artifact is created which does not represent the initial concrete target system that inspired it (if there was one), where the artifact’s features are explored for their own sake, and where the “language” of the new artifact is in some way more “universal.” Focusing on this sense of abstraction is helpful in revealing the complexity of the process of crafting an abstract artifact, in problematizing the notion that abstraction can always be un-done (or concretized), as well as revealing new ways for abstractions to be epistemically (un)successful. (shrink)

Many commentators and experts arguethat extensive agricultural systems across theEuropean Union (EU) should be supported toreach the two main functions of the EuropeanModel of Agriculture (EMA): lively economicsystems and environmental awareness. We arguethat the main current policy instrument of theEMA, the CAP (Common Agricultural Policy),should be targeted to take advantage ofexisting regional diversity in social realitiesand agricultural structures. Community-basedresearch work has been carried out throughoutthe 1990s in the cereal–sheep farming system ofCastile-La Mancha (south-central Spain), wherea system of land-use operates (...) in which cerealcropping and sheep farming are carried out onthe same land. Local agricultural staff andfarmers acted as collaborators in rating themain constraints and devising proposals forstructural, social, and institutional reforms.Results showed that the two social groupsinvolved (cultivators and pastoralists) haddivergent interests and unbalanced numbers forcollective action to be effective. Governmentintervention is required, but current EUagricultural policy is not accomplishing therestructuring objectives. Results of theopinion survey also support switching the EUsubsidy scheme to sheep from a per-head basisto a per-hectare basis and making grazing landmore accessible to landless shepherds. Regionalpolicy schemes should be devised that aretailored to meet the circumstances ofparticular land areas, but sensible policyschemes can only be devised after properknowledge of the structure and institutionalframework of EU agricultural systems. (shrink)

This contribution discusses competencies needed for regulating systems with properties of multi-causality and non-linear dynamics (therapeutic, economical, organizational, socio-political, technical, ecological, etc.). Various research communities have contributed insights, but none has come forward with an inclusive framework. To advance the debate, I propose to draw from dynamic systems theory (DST) and “4E” (embodied, embedded, enactive, and extended), cognition approaches, which offer a set of perspectives to understand what expert regulators in real-life settings do. They define the regulator's agency (...) as skillfully imposing constraints on a target system and hereby creating context-sensitive openings for self-organizing dynamics, rather than “controlling” the system. Adept regulators apply multi-pronged and multi-timescale constraints to achieve nuanced effects. Among other things, their skill set includes scarcely noted enactive processual competencies for “emergence management”, which the intellectualistic and insufficiently ecologically situated accounts of the complex problem solving literature omit. To capture the nature of system regulation, I advocate treating regulation dynamics and target system dynamics “symmetrically” by grounding regulator competencies in concepts from complexity theory. (shrink)

This renin‐angiotensin system (RAS) interpretation is focused on differences in tissue dependence on RAS and on the topological hierarchy that allows mediators to act only on downstream tissues.Dependence of tissues on RAS: Tested by expectation maximization clustering of the RNA human tissue expression (https://biogps.org/). ACE and vasoconstrictive AT1R clustered with the prorenin receptor. ACE2 and dilatory MAS1 clustered with nine RAS‐related genes, highly expressed in: Liver; Cardiac_Myocytes; Skeletal_Muscle; Uterus; Kidney; Lung; Small_Intestine; Smooth_Muscle.RAS and stress accumulation: While prorenin is active after (...) binding to its receptor, binding of soluble renin increases its enzymatic activity several times. Increased renin secretion multiplies the overall capacity for producing Ang I, leading to hypertension and increased vascular resistance.Coronavirus infection and comorbidities: Cardiorespiratory failure during infection is linked to the previously altered RAS role in lungs and myocardium. Reduced vasodilation by ACE2 lead to vasoconstriction and suboptimal tissue perfusion patterns. Also see the video abstract here https://www.youtube.com/watch?v=Jf0Iped-Mws. (shrink)

Hibbing et al.'s article isolates a plausible psychological factor contributing to differences in political orientation. However, there are two potential difficulties. Both the nature of negativity and the liberal–conservative opposition are ambiguous. A possible way of treating these problems enhances the theoretical framework through fuller reference to emotion systems and categories of triggers for those systems.

Targeted hypermutation has proven to be a useful survival strategy for bacteria under severe stress and is also used by multicellular organisms in specific instances such as the mammalian immune system. This might appear surprising, given the generally observed deleterious effects of poor replication fidelity/high mutation rate. A previous theoretical model designed to explore the role of replication fidelity in the origin of life was applied to a simulated hypermutation scenario. The results confirmed that the same model is useful for (...) analyzing hypermutation and can predict the effects of the same parameters (survival probability, replication fidelity, mutation effect, and others) on the survival of cellular populations undergoing hypermutation as a result of severe stress. (shrink)

Traditional frameworks for evaluating scientific models have tended to downplay their exploratory function; instead they emphasize how models are inherently intended for specific phenomena and are to be judged by their ability to predict, reproduce, or explain empirical observations. By contrast, this paper argues that exploration should stand alongside explanation, prediction, and representation as a core function of scientific models. Thus, models often serve as starting points for future inquiry, as proofs of principle, as sources of potential explanations, and as (...) a tool for reassessing the suitability of the target system. This is illustrated by a case study of the varied career of reaction-diffusion models in the study of biological pattern formation, which was initiated by Alan Turing in a classic 1952 paper. Initially regarded as mathematically elegant, but biologically irrelevant, demonstrations of how, in principle, spontaneous pattern formation could occur in an organism, such Turing models have only recently rebounded, thanks to advances in experimental techniques and computational methods. The long-delayed vindication of Turing’s initial model, it is argued, is best explained by recognizing it as an exploratory tool. (shrink)

In recent years, sequencing technologies have enabled the identification of a wide range of non-coding RNAs (ncRNAs). Unfortunately, annotation and integration of ncRNA data has lagged behind their identification. Given the large quantity of information being obtained in this area, there emerges an urgent need to integrate what is being discovered by a broad range of relevant communities. To this end, the Non-Coding RNA Ontology (NCRO) is being developed to provide a systematically structured and precisely defined controlled vocabulary for the (...) domain of ncRNAs, thereby facilitating the discovery, curation, analysis, exchange, and reasoning of data about structures of ncRNAs, their molecular and cellular functions, and their impacts upon phenotypes. The goal of NCRO is to serve as a common resource for annotations of diverse research in a way that will significantly enhance integrative and comparative analysis of the myriad resources currently housed in disparate sources. It is our belief that the NCRO ontology can perform an important role in the comprehensive unification of ncRNA biology and, indeed, fill a critical gap in both the Open Biological and Biomedical Ontologies (OBO) Library and the National Center for Biomedical Ontology (NCBO) BioPortal. Our initial focus is on the ontological representation of small regulatory ncRNAs, which we see as the first step in providing a resource for the annotation of data about all forms of ncRNAs. (shrink)

In the atavistic model of cancer progression, tumor cell dedifferentiation is interpreted as a reversion to phylogenetically earlier capabilities. The more recently evolved capabilities are compromised first during cancer progression. This suggests a therapeutic strategy for targeting cancer: design challenges to cancer that can only be met by the recently evolved capabilities no longer functional in cancer cells. We describe several examples of this target‐the‐weakness strategy. Our most detailed example involves the immune system. The absence of adaptive immunity in (...) immunosuppressed tumor environments is an irreversible weakness of cancer that can be exploited by creating a challenge that only the presence of adaptive immunity can meet. This leaves tumor cells more vulnerable than healthy tissue to pathogenic attack. Such a target‐the‐weakness therapeutic strategy has broad applications, and contrasts with current therapies that target the main strength of cancer: cell proliferation. (shrink)

The purpose is to provide researchers with reliable Scientific Research Data from the massive amounts of research data to establish a sustainable Scientific Research environment. Specifically, the present work proposes establishing an Intelligent Recommendation System based on Machine Learning algorithm and SRD. Firstly, the IRS is established over ML technology. Then, based on user Psychology and Collaborative Filtering recommendation algorithm, a hybrid algorithm [namely, Content-Based Recommendation-Collaborative Filtering ] is established to improve the utilization efficiency of SRD and Sustainable Development of (...) SR. Consequently, the present work designs literature and SRD-targeted IRS using the hybrid recommendation under the background of SD. The proposed system’s feasibility is analyzed through experiments. Additionally, the system performance is analyzed and verified from accuracy, diversity, coverage, novelty, and recommendation efficiency. The results show that the hybrid algorithm can make up for the shortcomings of a single algorithm and improve the recommendation efficiency. Experiments show that the accuracy of the proposed CBR-CF algorithm is the highest. In particular, the recommendation accuracy for the single-user system can reach 82–93%, and the recall of all recommended algorithms falls between 60 and 91%. The recall of the hybrid algorithm is higher than that of a single algorithm, and the highest recall is 91%. Meanwhile, the hybrid algorithm has comprehensive coverage, good applicability, and diversity. Therefore, SD-oriented SRD-targeted IRS is of great significance to improve the SRD utilization and the accuracy of IRS, and expand the achievement value of SR. The research content provides a reference for establishing a sustainable SR environment and improving SR efficiency. (shrink)

Traditional frameworks for evaluating scientific models have tended to downplay their exploratory function; instead they emphasize how models are inherently intended for specific phenomena and are to be judged by their ability to predict, reproduce, or explain empirical observations. By contrast, this paper argues that exploration should stand alongside explanation, prediction, and representation as a core function of scientific models. Thus, models often serve as starting points for future inquiry, as proofs of principle, as sources of potential explanations, and as (...) a tool for reassessing the suitability of the target system. This is illustrated by a case study of the varied career of reaction-diffusion models in the study of biological pattern formation, which was initiated by Alan Turing in a classic 1952 paper. Initially regarded as mathematically elegant, but biologically irrelevant, demonstrations of how, in principle, spontaneous pattern formation could occur in an organism, such Turing models have only recently rebounded, thanks to advances in experimental techniques and computational methods. The long-delayed vindication of Turing’s initial model, it is argued, is best explained by recognizing it as an exploratory tool. (shrink)

Political campaigns increasingly rely on Facebook for reaching their constituents, particularly through ad targeting. Facebook’s business model is premised on a promise to connect advertisers with the “right” users: those likely to click, download, engage, purchase. The company pursues this promise by algorithmically inferring users’ interests from their data and providing advertisers with a means of targeting users by their inferred interests. In this study, we explore for whom this interest classification system works in order to build on conversations in (...) critical data studies about the ways such systems produce knowledge about the world rooted in power structures. We critically analyze the classification system from a variety of empirical vantage points—via user data; Facebook documentation, training, and patents; and Facebook’s tools for advertisers—and through theoretical concepts from a variety of domains. In this, we focus on the ways the classification system shapes possibilities for political representation and voice, particularly for people of color, women, and LGBTQ+ people. We argue that this “big data-driven” classification system should be read as political: it articulates a stance not only on what issues are or are not important in the U.S. public sphere, but also on who is considered a significant enough public to be adequately accounted for. (shrink)

Due to advances in military technology, there has been an outpouring of research on what are known as autonomous weapon systems (AWS). However, it is common in this literature for arguments to be made without first making clear exactly what definitions one is employing, with the detrimental effect that authors may speak past one another or even miss the targets of their arguments. In this article I examine the U.S. Department of Defense and International Committee of the Red Cross (...) definitions of AWS, showing that these definitions are far broader than some recognize, and that they therefore classify a much larger set of weapons as AWS. I then show that these broader views of AWS have implications for what moral and legal rules we might argue should be applied to such systems. I conclude by arguing there is a greater need for precision and clarity within AWS debates, in order to ensure that researchers are discussing the same weapon systems (autonomous or otherwise) when they argue for or against particular points. The purpose of this article is not to defend any specific view of AWS, nor to further any general endorsement or objection to such systems, but rather to show the importance of argumentative clarity in this debate. (shrink)

In this article we present an advanced version of Dual-PECCS, a cognitively-inspired knowledge representation and reasoning system aimed at extending the capabilities of artificial systems in conceptual categorization tasks. It combines different sorts of common-sense categorization (prototypical and exemplars-based categorization) with standard monotonic categorization procedures. These different types of inferential procedures are reconciled according to the tenets coming from the dual process theory of reasoning. On the other hand, from a representational perspective, the system relies on the hypothesis of (...) conceptual structures represented as heterogeneous proxytypes. Dual-PECCS has been experimentally assessed in a task of conceptual categorization where a target concept illustrated by a simple common-sense linguistic description had to be identified by resorting to a mix of categorization strategies, and its output has been compared to human responses. The obtained results suggest that our approach can be beneficial to improve the representational and reasoning conceptual capabilities of standard cognitive artificial systems, and –in addition– that it may be plausibly applied to different general computational models of cognition. The current version of the system, in fact, extends our previous work, in that Dual-PECCS is now integrated and tested into two cognitive architectures, ACT-R and CLARION, implementing different assumptions on the underlying invariant structures governing human cognition. Such integration allowed us to extend our previous evaluation. (shrink)

The advance in Internet of Things technology has increased the opportunities for a healthcare system design, which is an urgent need owing to the growth in population among the older adults in many countries. This requires giving thought to the kind of innovative technological design methods that can find suitable solutions for home care. The application of Health Smart Homes by means of the technologies of the Internet of Things, can be used to support rehabilitation treatment and help the senior (...) citizens to understand the importance of taking measures to maintain a healthy standard of living that can meet their needs. The aim of this article is to develop and assess a design method for the following purposes: to determine and map out the physical and emotional state of the home care users, such as senior citizens; to implement a participatory design that includes the user within its social, psychological and therapeutic context; to explore the flexible method when applied to older users; to provide a way for the users to be “personalized” through a wide range of solutions that involve analyzing the behavioral patterns of different individuals in a standardized manner and to define a set of smart technologies for each problem and senior citizen. This article sets out a collaborative method called FlexPersonas, which is employed for the flexible mapping of users and to improve decision-making with the support of Internet of Things technologies. In this context, computing systems can identify the behavior of the user and issue warnings to the Carers about any abnormal event. Studies with an interdisciplinary team point out the potential and drawbacks of the method. (shrink)

This article shows how the MISS account of models—as isolations and surrogate systems—accommodates and elaborates Sugden’s account of models as credible worlds and Hausman’s account of models as explorations. Theoretical models typically isolate by means of idealization, and they are representatives of some target system, which prompts issues of resemblance between the two to arise. Models as representations are constrained both ontologically (by their targets) and pragmatically (by the purposes and audiences of the modeller), and these relations are (...) coordinated by a model commentary. Surrogate models are often about single mechanisms. They are distinguishable from substitute models, which are examined without any concern about their connections with the target. Models as credible worlds are surrogate models that are believed to provide access to their targets on account of their credibility (of which a few senses are distinguished). (shrink)

Proteolysis-targeting chimeric molecules represent an emerging technique that is receiving much attention for therapeutic intervention. The mechanism is based on the inhibition of protein function by hijacking a ubiquitin E3 ligase for protein degradation. The hetero-bifunctional PROTACs contain a ligand for recruiting an E3 ligase, a linker, and another ligand to bind with the protein targeted for degradation. Thus, PROTACs have profound potential to eliminate “undruggable” protein targets, such as transcription factors and non-enzymatic proteins, which are not limited to physiological (...) substrates of the ubiquitin-proteasome system. These findings indicate great prospects for PROTACs in the development of therapeutics. However, there are several limitations related to poor stability, biodistribution, and penetrability in vivo. This review provides an overview of the main PROTAC-based approaches that have been developed and discusses the promising opportunities and considerations for the application of this technology in therapies and drug discovery. The hetero-bifunctional PROTAC molecules contain a ligand for recruiting an E3 ligase linked with a ligand to bind with the protein targeted for degradation. Thus, PROTACs have profound potential to eliminate “undruggable” disease-causing proteins, which are not limited to physiological substrates of the ubiquitin-protease system, suggesting great prospects for therapeutic development. (shrink)

The nineteenth-century strategist Carl von Clausewitz describes “fog” and “friction” as fundamental features of war. Military leverage of sophisticated information technology in the twenty-first century has improved some tactical operations but has not lifted the fog of war, in part, because the means for reducing uncertainty create new forms of it. Drawing on active duty experience with an American special operations task force in Western Iraq from 2007 to 2008, this article traces the targeting processes used to “find, fix, and (...) finish” alleged insurgents. In this case they did not clarify the political reality of Anbar province but rather reinforced a parochial worldview informed by the Naval Special Warfare community. The unit focused on the performance of “direct action” raids during a period in which “indirect action” engagement with the local population was arguably more appropriate for the strategic circumstances. The concept of “data friction”, therefore, can be understood not simply as a form of resistance within a sociotechnical system but also as a form of traction that enables practitioners to construct representations of the world that amplify their own biases. (shrink)

Medical devices with built-in bias can both result from, and contribute to, harmful systemic racial oppression—a point that Liao and Carbonell (2023) argue convincingly in the target article of thi...

This article shows how the MISS account of models—as isolations and surrogate systems—accommodates and elaborates Sugden’s account of models as credible worlds and Hausman’s account of models as explorations. Theoretical models typically isolate by means of idealization, and they are representatives of some target system, which prompts issues of resemblance between the two to arise. Models as representations are constrained both ontologically (by their targets) and pragmatically (by the purposes and audiences of the modeller), and these relations are (...) coordinated by a model commentary. Surrogate models are often about single mechanisms. They are distinguishable from substitute models, which are examined without any concern about their connections with the target. Models as credible worlds are surrogate models that are believed to provide access to their targets on account of their credibility (of which a few senses are distinguished). (shrink)

In this paper I develop a systemic discrimination approach to defining a narrowly construed category of ‘hate speech’, as speech that harms to a sufficient degree to warrant government regulation. This is important due to the lack of definitional clarity, and the extraordinarily wide usage, of the term. This article extends current literature on how hate speech can harm by identifying under what circumstances speakers have the capacity to harm, and under what circumstances targets are vulnerable to harm. It also (...) shows how the capacity to harm can be mobile and involve the construction of new targets. Finally, it bridges the gap between conceptual understandings of hate speech and policy designed to regulate it. (shrink)

Coordinated group behaviour can result in conflict or social cohesion. Thus having a better understanding of coordination in social groups could help us tackle some of our most challenging social problems. Historically, the most common way to study group behaviour is to break it down into sub-processes, such as cognition and emotion, then ideally manipulate them in a social context in order to predict some behaviour such as liking versus distrusting a target person. This approach has gotten us partway (...) to understanding many important collective behaviours, but I argue that making major changes in the world will require a more integrated approach. In this review, I introduce dynamic systems theory, with a focus on interpersonal systems, where all the processes we typically study in individuals, such as cognition and emotion, become intertwined between social partners over time. I focus on the concept of coordination, defined as a temporal correlation between interacting components of a system (or systems) arising due to coupling between them. Finally, I show how this perspective could be used to guide investigations of social problems such as polarisation. (shrink)

Recently there is an increasing technological development in intelligent tutoring systems. This field has become interesting to many researchers. In this paper, we present an intelligent tutoring system for teaching information security. This intelligent tutoring systems target the students enrolled in Advanced Topics in Information Security in the faculty of Engineering and Information Technology at Al-Azhar University in Gaza. Through which the student will be able to study the course and solve related problems. An evaluation of the (...) intelligent tutoring systems was carried out and the results were promising. (shrink)

The following three points are made. One must consider not only the levels of circulating hormone but the target tissue upon which the hormone acts. Increased testosterone levels alone do not account for differences in displayed intermale aggression, because testosterone and social environment interact in complex ways to influence behavior. A given behavior can be triggered by multiple motivational systems.

The crisis resilience of vital social systems is currently the target of constant development efforts in Finland, as their drifting into crisis would weaken societies’ functional abilities, safety, and security. This is also the case regarding the Finnish health care system. In an attempt to move beyond existing frameworks of crisis imagination, this article takes an unconventional stance by elucidating endogenous crisis dynamics present in the Finnish health care system. Delphi process was conducted for top experts in Finnish (...) health care and crisis management. With a dissensus-seeking orientation, our aim was to fertilize disagreements among panelists to reveal key vulnerabilities in the health system. Despite our efforts to evoke dissensus, the panelists ended up generating a consensus that aims to protect the underlying assumptions of the health system’s knowledge structure. Through inductive analysis of expert discourses, the data was analyzed through our research question “what constitutes a crisis-proof health system and a crisis-prone health system”. What is framed as a strength of the system by our panelists, namely the ability to maintain legitimacy, improve efficiency, and guarantee continuity, can still have questionable implications that are left ungrasped. A system’s theory approach illustrates how such effects can develop and escalate beyond the reach of social interventions, and thus be predisposed to cause objectionable yet concealed social crises. The discussion illustrates how these endogenous crisis dynamics could be seen to materialize in real-life cases. (shrink)

There is an increasing body of literature proposing to include animal welfare in the United Nations Sustainable Development Agenda. The main argument is the potential positive effect that improving the welfare of animals could have over the health and welfare of humans. However, recent literature suggests that the welfare interests of animals should also be considered. Based on these premises, an analysis of the practical implications of including animal welfare in the United Nations Sustainable Development Goals is granted. The aim (...) of this study is to address this by applying the case of animals in the agriculture and aquaculture systems. Animal farming inherently affects the welfare of a substantial number of sentient animals while, the welfare of farmed animals has been connected to human wellbeing and several environmental issues. The study highlights the feasibility of incorporating the welfare of farmed animals into a future version of the SDGs. It does so by developing a model based on a set of human-focused (anthropocentric) and animal-focused (sentientistic) targets for each of the 17 goals. It has been argued that expanding the scope of the SDGs from anthropocentrism to sentientism creates a synergy between human and animal welfare and, on top of that, is progress towards sustainability. (shrink)

Autonomous weapons systems (AWS), sometimes referred to as “killer robots”, are receiving evermore attention, both in public discourse as well as by scholars and policymakers. Much of this interest is connected with emerging ethical and legal problems linked to increasing autonomy in weapons systems, but there is a general underappreciation for the ways in which existing law might impact on these new technologies. In this paper, we argue that as AWS become more sophisticated and increasingly more capable than (...) flesh-and-blood soldiers, it will increasingly be the case that such soldiers are “in the power” of those AWS which fight against them. This implies that such soldiers ought to be considered hors de combat, and not targeted. In arguing for this point, we draw out a broader conclusion regarding hors de combat status, namely that it must be viewed contextually, with close reference to the capabilities of combatants on both sides of any discreet engagement. Given this point, and the fact that AWS may come in many shapes and sizes, and can be made for many different missions, we argue that each particular AWS will likely need its own standard for when enemy soldiers are deemed hors de combat. We conclude by examining how these nuanced views of hors de combat status might impact on meaningful human control of AWS. (shrink)

While it is often said that robotics should aspire to reproducible and measurable results that allow benchmarking, I argue that a focus on benchmarking can be a hindrance for progress in robotics. The reason is what I call the ‘measure-target confusion’, the confusion between a measure of progress and the target of progress. Progress on a benchmark (the measure) is not identical to scientific or technological progress (the target). In the past, several academic disciplines have been led (...) into pursuing only reproducible and measurable ‘scientific’ results – robotics should be careful to follow that line because results that can be benchmarked must be specific and context-dependent, but robotics targets whole complex systems for a broad variety of contexts. While it is extremely valuable to improve benchmarks to reduce the distance be- tween measure and target, the general problem to measure progress towards more intelligent machines (the target) will not be solved by benchmarks alone; we need a balanced approach with sophisticated benchmarks, plus real-life testing, plus qualitative judgment. (shrink)

The processes underlying motor decision-making have recently caught considerable amount of scientific attention, focusing on the integration of empirical evidence from sensorimotor control research with psychological theories and computational models on decision-making. Empirical studies on motor decision-making suggest that the kinematics of goal-directed reaching movements are sensitive to the level of target uncertainty during movement planning. However, the source of uncertainty as a relevant factor influencing the process of motor decision-making has not been sufficiently considered, yet. In this study, (...) we test the assumption that the source of target uncertainty has an effect on motor decision-making, which can be proven by analyzing movement variability during the time course of movement execution. Ten healthy young adults performed three blocks with 66 trials of goal-directed reaching movements in each block, across which the source and level of reach target uncertainty at movement onset were manipulated (“no uncertainty”, “extrinsic uncertainty”, “intrinsic uncertainty”). Fingertip position of the right index finger was recorded using an optical motion tracking system. Standard kinematic measures (i.e. path length and movement duration) as well as variability of fingertip position across the time course of movement execution and at movement end were analyzed. In line with previous studies, we found that a high level of extrinsic target uncertainty leads to increased overall movement duration, which could be attributed to increased path length in this condition, as compared to intrinsic and no target uncertainty (all p <.001). Movement duration and path length did not show any differences between the latter two conditions. However, the time course analysis of movement variability revealed significant differences between these two conditions, with increased variability of fingertip position in the presence of intrinsic target uncertainty (Condition × Sampling point: p =.01), though considerably less than under high extrinsic target uncertainty (p ≤.001). These findings suggest that both the level and source of uncertainty have a significant effect on the processing of potential action plans during motor decision-making, which can be revealed through the analysis of the time course of movement variability at the end-effector level. (shrink)

In his 1966 paper “The Strategy of model-building in Population Biology”, Richard Levins argues that no single model in population biology can be maximally realistic, precise and general at the same time. This is because these desirable model properties trade-off against one another. Recently, philosophers have developed Levins’ claims, arguing that trade-offs between these desiderata are generated by practical limitations on scientists, or due to formal aspects of models and how they represent the world. However this project is not complete. (...) The trade-offs discussed by Levins had a noticeable effect on modelling in population biology, but not on other sciences. This raises questions regarding why such a difference holds. I claim that in order to explain this finding, we must pay due attention to the properties of the systems, or targets modelled by the different branches of science.Keywords: Trade-offs; Population biology; Scientific models; Generality; Precision. (shrink)

After identifying similarities in the paradigmatic problems of biorobotics and ecological psychology, we suggest a way to compare the performance of robots with that of their biological targets. The crucial comparison is between the intentional dynamics of the robot and those of the targeted animal, a measure that depends critically on recognizing and describing the underlying affordance-effectivity match of the target system.

There is increasing speculation within military and policy circles that the future of armed conflict is likely to include extensive deployment of robots designed to identify targets and destroy them without the direct oversight of a human operator. My aim in this paper is twofold. First, I will argue that the ethical case for allowing autonomous targeting, at least in specific restricted domains, is stronger than critics have acknowledged. Second, I will attempt to uncover, explicate, and defend the intuition that (...) even in this context there would be something ethically problematic about such targeting. I argue that an account of the non-consequentialist foundations of the principle of distinction suggests that the use of autonomous weapon systems is unethical by virtue of failing to show appropriate respect for the humanity of our enemies. However, the success of the strongest form of this argument depends upon understanding the robot itself as doing the killing. To the extent that we believe that, on the contrary, AWS are only the means whereby those who order them into action kill, the idea that the use of AWS fails to respect the humanity of our enemy will turn upon an account of what is required by respect that is essentially conventional. Thus, while the theoretical foundations of the idea that AWS are weapons that are “evil in themselves” are weaker than critics have sometimes maintained, they are nonetheless sufficient to the task of demanding a prohibition of the development and deployment of such weapons. (shrink)

This introduction to the special issue of the same title sets out the context for a critical examination of contemporary developments in sociotechnical systems deployed in the name of security. Our focus is on technologies of tracking, with their claims to enable the identification of those who comprise legitimate targets for the use of violent force. Taking these claims as deeply problematic, we join a growing body of scholarship on the technopolitical logics that underpin an increasingly violent landscape of (...) institutions, infrastructures, and actions, promising protection to some but arguably contributing to our collective insecurity. We examine the asymmetric distributions of sociotechnologies of security; their deadly and injurious effects; and the legal, ethical, and moral questions that haunt their operations. (shrink)

This target article presents a critical survey of the scientific literature dealing with the speed/accuracy trade-offs in rapid-aimed movements. It highlights the numerous mathematical and theoretical interpretations that have been proposed in recent decades. Although the variety of points of view reflects the richness of the field and the high degree of interest that such basic phenomena attract in the understanding of human movements, it calls into question the ability of many models to explain the basic observations consistently reported (...) in the field. This target article summarizes the kinematic theory of rapid human movements, proposed recently by R. Plamondon (1993b; 1993c; 1995a; 1995b), and analyzes its predictions in the context of speed/accuracy trade-offs. Data from human movement literature are reanalyzed and reinterpreted in the context of the new theory. It is shown that the various aspects of speed/accuracy trade-offs can be taken into account by considering the asymptotic behavior of a large number of coupled linear systems, from which a delta-lognormal law can be derived to describe the velocity profile of an end-effector driven by a neuromuscular synergy. This law not only describes velocity profiles almost perfectly, it also predicts the kinematic properties of simple rapid movements and provides a consistent framework for the analysis of different types of speed/accuracy trade-offs using a quadratic (or power) law that emerges from the model. (shrink)

Cyberspace relies on information technologies to mediate relations between different people, across different communication networks and is reliant on the supporting technology. These interactions typically occur without physical proximity and those working depending on cybersystems must be able to trust the overall human–technical systems that support cyberspace. As such, detailed discussion of cybersecurity policy would be improved by including trust as a key value to help guide policy discussions. Moreover, effective cybersystems must have resilience designed into them. This paper (...) argues that trustworthy cybersystems are a key element to resilient systems, and thus are core to cybersecurity policy. The paper highlights the importance of trustworthiness for resilient cybersystems. The importance of trustworthiness is shown through a discussion of three events where trustworthiness was the target or casualty of cyberattacks: Stuxnet, hacking of communications and the Edward Snowden revelations. The impact of losing trust is highlighted, to underpin the argument that a resilient cybersystem ought to design in trustworthiness. The paper closes off by presenting a general set of policy implications arising from recognition of the interplay between trust, trustworthiness and resilience for effective cybersecurity. (shrink)

Most mitochondrial proteins are synthesized in the cytosol as preproteins with a cleavable presequence and are delivered to the import receptors on the mitochondria by cytoplasmic import factors. The proteins are then imported to the intramitochondrial compartments by the import systems of the outer and inner membranes, TOM and TIM. Mitochondrial outer membrane proteins are synthesized without a cleavable presequence and most of them contain hydrophobic transmembrane domains, which, in conjunction with the flanking segments, function as the mitochondria import (...) signals. Some of the proteins are inserted into the outer membrane by the TOM machinery; the import signal probably arrests further translocation and is released from the translocation channel to the lipid bilayer. The other proteins are inserted into the membrane by a novel pathway independent of the TOM machinery. This article reviews recent developments in the biogenesis of mitochondrial outer membrane proteins. BioEssays 22:364–371, 2000. © 2000 John Wiley & Sons, Inc. (shrink)

BackgroundResponsive neurostimulation has been utilized as a treatment for intractable epilepsy. The RNS System delivers stimulation in response to detected abnormal activity, via leads covering the seizure foci, in response to detections of predefined epileptiform activity with the goal of decreasing seizure frequency and severity. While thalamic leads are often implanted in combination with cortical strip leads, implantation and stimulation with bilateral thalamic leads alone is less common, and the ability to detect electrographic seizures using RNS System thalamic leads is (...) uncertain.ObjectiveThe present study retrospectively evaluated fourteen patients with RNS System depth leads implanted in the thalamus, with or without concomitant implantation of cortical strip leads, to determine the ability to detect electrographic seizures in the thalamus. Detailed patient presentations and lead trajectories were reviewed alongside electroencephalographic analyses.ResultsAnterior nucleus thalamic leads, whether bilateral or unilateral and combined with a cortical strip lead, successfully detected and terminated epileptiform activity, as demonstrated by Cases 2 and 3. Similarly, bilateral centromedian thalamic leads or a combination of one centromedian thalamic alongside a cortical strip lead also demonstrated the ability to detect electrographic seizures as seen in Cases 6 and 9. Bilateral pulvinar leads likewise produced reliable seizure detection in Patient 14. Detections of electrographic seizures in thalamic nuclei did not appear to be affected by whether the patient was pediatric or adult at the time of RNS System implantation. Sole thalamic leads paralleled the combination of thalamic and cortical strip leads in terms of preventing the propagation of electrographic seizures.ConclusionThalamic nuclei present a promising target for detection and stimulation via the RNS System for seizures with multifocal or generalized onsets. These areas provide a modifiable, reversible therapeutic option for patients who are not candidates for surgical resection or ablation. (shrink)

Histone acetylation has been recognized as an important post‐translational modification of core nucleosomal histones that changes access to the chromatin to allow gene transcription, DNA replication, and repair. Histone acetyltransferases were initially identified as co‐activators that link DNA‐binding transcription factors to the general transcriptional machinery. Over the years, more chromatin‐binding modes have been discovered suggesting direct interaction of histone acetyltransferases and their protein complex partners with histone proteins. While much progress has been made in characterizing histone acetyltransferase complexes biochemically, cell‐free (...) activity assay results are often at odds with in‐cell histone acetyltransferase activities. In‐cell studies suggest specific histone lysine targets, but broad recruitment modes, apparently not relying on specific DNA sequences, but on chromatin of a specific functional state. Here we review the evidence for general versus specific roles of individual nuclear lysine acetyltransferases in light of in vivo and in vitro data in the mammalian system. (shrink)